Podcasts about Nemo

Coverage that provides news and analysis of national issues significant to regional Australians.

Godzilla crashes The Odyssey, Mr. Nemo goes full underworld anarchist, and then we dive into Cemetery Kids Don't Die — creepy organic VR tech, teen horror logic, and one of the more unsettling comics we've read in a while. RSS Feed Show your thanks to Major Spoilers for this episode by becoming a Major Spoilers Patron at http://patreon.com/MajorSpoilers. It will help ensure the Major Spoilers Podcast continues far into the future! Join our Discord server and chat with fellow Spoilerites! (https://discord.gg/jWF9BbF) Thanks for listening to the Major Spoilers Podcast! Subscribe for free to receive new posts and support our work. REVIEWS GODZILLA'S MONSTERPIECE THEATRE PRESENTS: GODZILLA'S THE ODYSSEY ONE-SHOT Writer: Frank Tieri Artist: Ilias Kyriazis Publisher: IDW Publishing Cover Price: $7.99 Release Date: June 10, 2026 Godzilla's tour of the literary canon continues as it smashes its way across The Odyssey in this oversize standalone one-shot! Homer's The Odyssey is widely considered to be the greatest epic of all time. So, how could you possibly make it more epic? Fill it with kaiju, that's how. Odysseus' journey home was already challenging enough, but what if instead of storms, sirens, and cyclopes, the gods sent monsters even more powerful than the titans? And what if Zeus sent the most powerful one of all to assist the king on his odyssey? It's like Homer said: "Of all creatures that breathe and move upon the earth, nothing is bred that is stronger than Godzilla." Written by Frank Tieri, illustrated by Ilias Kyriazis, and featuring part two of Tom Scioli's Godzilla vs. Robin Hood. [rating:4/5] You can purchase this issue via our Amazon affiliate link - https://amzn.to/4vwTVNF MISTER NEMO #1 Writer: Mark London Artist: Alden Kaye Publisher: Mad Cave Studios Cover Price: $4.99 Release Date: July 5, 2026 A NEW CHAPTER OF THE UNDERWORLD UNIVERSE BEGINS HERE. A brilliant analyst uncovers a global conspiracy—and is immediately marked for disappearance—only to be rescued by the mysterious Nemo, a man waging a secret war from beneath the ocean. As they dive into a hidden world of covert power and impossible technology, one question remains: can they save the world before it even knows it's in danger? [rating:4.5/5] You can purchase this issue via our Amazon affiliate link - https://amzn.to/4dXUNoK TRADE DISCUSSION CEMETERY KIDS DON'T DIE VOL. 1 Writer: Zac Thompson Artist: Daniel Irizarri, Gege Schall Publisher: Oni Press Cover Price: $17.99 The twenty-first century sucks hard, but it's been made somewhat tolerable by the latest media innovation to finally unseat the iPhone. Enter the Dreamwave: the first gaming console played entirely while you sleep. Now the obsession of millions around the globe, it's also the one point of solace for four friends whose lives have been marred by trauma and dysfunction. Together, this group of ultra-online "Cemetery Kids" spend their nights roaming the open world of the most immersive and brutal horror game ever created: "Nightmare Cemetery." Together they seek to dethrone an enigmatic humanoid monster known only as the "The King of Sleep." Which was fun—until one of them doesn't wake up . . . and finds their consciousness locked inside a horror game that is anything but imaginary. Now, the three remaining Cemetery Kids must navigate the game's forbidden landscape to rescue their friend . . . and pray that the secret lurking at its center doesn't follow them home. You can purchase this issue via our Amazon affiliate link - https://amzn.to/4dSFg9H At Major Spoilers, we strive to create original content that you find interesting and entertaining. Producing, writing, recording, editing, and researching require significant resources. We pay writers, podcast hosts, and other staff members who work tirelessly to provide you with insights into the comic book, gaming, and pop culture industries. Help us keep Major Spoilers strong. Become a Patron (and our superhero) today. If you know someone who loves comics, share this post and episode with them!

In the final week of the “So What?” sermon series, Pastor Jen uses the opening of the movie Finding Nemo to illustrate the danger of independence. Just as Nemo mistakenly leaves the safety of his anemone to prove his self-sufficiency, Christians frequently drift away from God to handle life on their own terms. The Call […]

Greetings my fellow ModelGeeks, and welcome to the MGPC Episode 125!  Nemo hosts this episode, with a full house.  We chat about the latest and greatest in everyone's model world and get caught up with what's happening in the hobby.  The mail bag was full again with over 10 emails, which is awesome!  We really appreciate the emails and love hearing from you all.  Also, thanks again for the listener gallery submissions.  Please keep the emails and gallery pics coming and we can't wait to see your work, discuss them on the podcast, and present them on our website.For the main topic, we talk about how our "Modeling Lens" has evolved and changed.  As youngsters building models, we all built as much as we could and didn't pay attention to accuracy, properly thinned paint, PSI, or weathering, etc.. we just built, and loved every minute of it.   Compare that with how we view modeling almost 40 years later, and there are some significant changes in how we view the hobby.  It's a great topic and we hope you all give it a listen.Please feel free to interact with us through social media, Facebook, Instagram, and email:  contact@modelgeekspodcast.comBe sure to check out our website: www.modelgeekspodcast.com.Make sure you check out our new group / community on Facebook, The ModelGeeks Model ShackWe also want to thank each of our sponsors for their support. We are very lucky to have their support. When you have the time, pay a visit to their web sites, and have a look at their fine products.Detail and ScaleFurball Aero-DesignTamiya USABases by BillLionHeart HobbyHypersonic ModelsMatters of ScaleKotare ModelsSquadron Also, if you're interested in the model shows, click the link below!IPMS USA Events PageWe are very fortunate to be able to join the scale modeling podcast community and are in the company of several other really GREAT podcasts. Hopefully, someday we'll earn our wings and be able to keep up with those guys!  Please check them all out at Scale Model Podcasts.Blogs:The Kit BoxSprue Pie with FretsModel Airplane Maker Well, that's it for this episode.  Thanks again for all your support and we hope to see you all this year.  Just remember, be excellent to each other, and get out there and build something!  Take care everyone, out from the Geeks!Support the showModel Geeks PodcastSupport the showModel Geeks Podcast

Hey folks, Alex here, let me catch you up! I've had a feeling that this week is going to be crazy, as it started on the weekend MiniMax M3, then with Jensen announcing new RTX Spark, NVIDIA's first PC chip packing 1 petaflop of local AI power into thin laptops.A few days later at Microsoft BUILD, Satya & Mustafa from MAI dropped 7 AI models, completely pre-trained from scratch, including a new MAI-thinking-1, MAI-code and MAI-image 2.5 that started topping the image gen charts. Then other image models started racing to the top of the Arena benchmarks, IdeoGram 4 hitting becoming SOTA open weights image-gen model, and Reve 2 beating Nano Banana just a few hours after that. And then today, NVIDIA dropped Nemotron 3 Ultra, their latest 550B open weights model, data and training and Arena published a new agentic eval leaderboard and we got a new Gemma 4 12B. I've had the great pleasure to host Chris (@llm_wizard) from Nvidia, Peter Gostev from Arena and Karan from Nous Research (who were featured prominently by Jensen!) all on the show. Def don't miss this one! Let's get into the details. ThursdAI - Join the flock of folks who know what is happening in AI before everyone else.Open Source LLMs

Planning a Disney World trip this summer? Don't let the brutal Florida heat ruin your magical vacation! In this episode of the podcast, we're sharing your complete Disney World Summer Survival Guide — packed with practical strategies to stay cool, comfortable, and happy even when the temperatures soar.Discover how to master your daily schedule by starting early, taking smart midday breaks, and returning in the evening for cooler temps and beautiful nighttime vibes. Learn which rides to tackle when, the best ways to use water rides and splash areas for natural cooling, and why slowing your pace might actually help you enjoy the day more.We also cover the must-have gear you need in your park bag — from handheld fans and electrolyte packets to stroller sun covers and cooling towels — plus important health tips to keep your whole family safe and hydrated.Whether you're visiting with kids, as a couple, or solo, these battle-tested tips will help you beat the heat and create unforgettable Disney memories this summer.

Povinná elektronická fakturácia zasiahne od začiatku budúceho roka prakticky každý podnik na Slovensku. Zostáva polroka na prípravu, ako od budúceho roka fungovať s e-faktúrou E-faktúra nie je „pdf poslané emailom". Je to štruktúrovaný elektronický dokument vo formáte XML, vytvorený podľa európskej normy, ktorý umožňuje automatizované spracovanie v informačných systémoch. Povinnosť vystavovať e-faktúru sa od 1. januára 2027 vzťahuje na všetkých tuzemských platiteľov DPH pri transakciách s inými tuzemskými podnikateľmi, nezdaniteľnými právnickými osobami alebo orgánmi verejnej moci. No povinnosť prijímať e-faktúru je omnoho širšia — dotkne sa všetkých tuzemských zdaniteľných osôb vrátane živnostníkov, advokátov, notárov či prenajímateľov nehnuteľností, hoci sami platiteľmi DPH nie sú. „Táto prijímacia povinnosť je rovnako dôležitá ako povinnosť vystavenia e-faktúry, keďže sa týka oveľa širšieho okruhu osôb," upozorňuje Veronika Chválová Rajnohová, senior daňová manažérka z TPA Slovakia. Kľúčovým prvkom celého systému je takzvaný digitálny poštár — certifikovaný poskytovateľ doručovacej služby, prostredníctvom ktorého sa e-faktúry odosielajú, prijímajú a zároveň v reálnom čase oznamujú Finančnej správe SR. „Pri výbere digitálneho poštára je dôležité zamerať sa na spoľahlivosť a technické možnosti riešenia. Ak s ním nebudete spokojní, môžete ho kedykoľvek vymeniť," hovorí Miroslava Kvočáková, senior účtovná manažérka TPA Slovakia. Zoznam certifikovaných poskytovateľov priebežne zverejňuje finančná správa na svojom webe. Viac podrobností sa dozviete v podcaste.

This week on Cinema Ladies, Kaly and Ellie are heading under the sea with Finding Nemo!

DA EPSTEIN A MODENA: LA REGIA DI SATANA - NEMODiventa un supporter di questo podcast: https://www.spreaker.com/podcast/border-nights--654467/support.

En esta vigésimo segunda entrega os comentamos que hemos visto y leído este mes de mayo. Con la participación de la tripulación habitual junto a Antonio Monfort y Pablingo. En esta ocasión hablamos de: - Un viaje a otros mundos. (novela) - Weapons. (película) - El mañana y yo. (serie) - We3. (cómic) - Jugando a bolos con cadaveres. (cómic) - The cured. (película) - Proyecto Hail Mary. (novela y película) - Retroverso. Bajo las lunas de Mongo. (novela) - Daredevil. Born again. (serie) - Punisher. One last kill. (película) - See you yesterday. (película) - It follows. (película) - The Boys. (serie) - Mobilis. Mi vida con el capitán Nemo. (cómic) - La libertad interminable. (novela) - The Mandalorian and Grogu. (película) - The Boroughs. (serie) Síguenos y contacta con nosotros a través de Facebook (www.facebook.com/retronautas), Twitter (@losretronautas), Bluesky (@losretronautas.bsky.social) o escríbenos a nuestro correo electrónico: losretronautas@gmx.com Puedes también unirte a nuestro canal de Telegram. Contacta con nosotros para facilitarte el enlace. Si te ha gustado este programa y quieres invitarnos a un café, puedes hacerlo a través de: https://ko-fi.com/retronautas Y si estás comprometido con la C-F viejuna puedes unirte a la infantería móvil retronaútica en: https://www.patreon.com/losretronautas o aquí mismo, en Ivoox. Como patrocinador, serás informado de nuestros planes de vuelo, y tendrás acceso anticipado a los podcast "Micronautas". Saludos desde los días del futuro pasado.

Veckans gäst är inte bara poddare, programledare och journalist — hon är även en av Sveriges mest inflytelserika opinionsbildare och medieprofiler. Och när Amie Bramme Sey tittar förbi hos Nemo så blir det härlig kemi, mycket skratt och ett samtal som rör sig mellan högt och lågt, allvar och humor. Precis som det ska vara. Häng med!

On this episode of The Landing, Jason Davenport sits back down with Robert “Nemo” Nieman for one of the rawest conversations yet. What starts as a life update quickly turns into an honest deep dive into men's mental health, weight loss, testosterone therapy, stress, discipline, and the reality of trying to become a better man while working in the Pacific Northwest timber industry.Jason opens up about losing over 200 pounds, battling high blood pressure and Type 2 diabetes, and learning how to completely rebuild his relationship with food, health, and self-worth. Nemo shares his own journey through hormone therapy, fitness, recovery, mental struggles, and the mindset shifts that helped him take control of his life both physically and mentally.Together, they talk about:The hidden mental toll of working in demanding industriesWhy men struggle to talk about stress and emotionsWeight loss, fitness, and learning discipline later in lifeTestosterone replacement therapy and overall health optimizationSleep, recovery, nutrition, and long-term healthBreaking destructive habits and taking ownership of your lifeWhy consistency matters more than motivationThis episode is honest, unfiltered, and packed with real conversations that a lot of men need to hear.Sponsors:Drew's Boots — Premium handcrafted boots built for the toughest jobs in the timber industry. Use code JasonDavenport for 10% off your order.https://drewsboots.com/?ref=JasonDFinster Forestry — Currently looking to add an experienced harvester operator to their growing team. Contact finsterforestry@gmail.com with the subject line: Harvester Operator.

Another Grand Final has come and gone, and hoo boy, what a year for Eurovision! A new winner, a first-time winning country, drama, intrigue, hot mic moments - everything a fan could want out of a Grand Final. While we've got more opinions to come next week in our yearly Eurovangies awards, this week we've got our immediate thoughts about the contest. Jeremy mourns for his beloved Sam, Dimitry's pleased to Australia return to what they do best, and Oscar says Biiiiiiitch! The New York Times articles discussed on this week's episode: https://www.nytimes.com/2026/05/11/world/europe/eurovision-israel-gaza-netanyahu.html https://www.nytimes.com/2026/05/11/world/europe/eurovision-israel-votes.html This week's companion playlist: https://open.spotify.com/playlist/4wKOZdC2xwpGdfkSl7N8zl Help support this show and unlock bonus content! Become a member at https://maximumfun.org/joineurovangelists Eurovangelists is an American Eurovision podcast, made in the US for Eurovision fans worldwide. The Eurovangelists are Jeremy Bent, Oscar Montoya and Dimitry Pompée.The theme was arranged and recorded by Cody McCorry and Faye Fadem, and the logo was designed by Tom Deja.Production support for this show was provided by the Maximum Fun network.The show is edited by Jeremy Bent with audio mixing help was courtesy of Shane O'Connell.Find Eurovangelists on social media as @eurovangelists on Instagram and @eurovangelists.com on Bluesky, or send us an email at eurovangelists@gmail.com. Head to https://maxfunstore.com/collections/eurovangelists for Eurovangelists merch. Also follow the Eurovangelists account on Spotify and check out our playlists of Eurovision hits, competitors in upcoming national finals, and companion playlists to every single episode, including this one!

CELÝ ROZHOVOR V DÉLCE 64 MIN. JEN NA ⁠HTTPS://HEROHERO.CO/CESTMIR⁠⁠⁠⁠ A ⁠HTTPS://FORENDORS.CZ/CESTMIR „Srdce kultivuje mysl a mysl pomáhá srdci,“ říká herec Martin Myšička, když mluví o tom, jak se v něm celý život potkává analytické myšlení, herectví, intuice i potřeba něco skutečně dělat. Vystudoval fyziku, pak DAMU, dlouhé roky je spojený s Dejvickým divadlem a přiznává, že v sobě od začátku nese napětí mezi analytickou myslí a potřebou být na jevišti svobodný. „Dojít k té spolupráci je takové moje celoživotní výzva,“ říká. Mluví o herectví, závisti, známých rolích i o tom, že herec je pořád trochu závislý na tom, jestli se někomu hodí. „Když takhle mi něco uteklo, zpětně se na to podívám, tak se mi otevřel čas a prostor na jiné věci,“ říká k profesním příležitostem, které nepřišly. Zároveň odmítá jednoduché poměřování. Podle něj je rozdíl mezi tím chtít být nejlepší a chtít být výborný. „Když bude primární hodnota být nejlepší, tak to může být jenom jeden. Ovšem když budu chtít být výborný, tak můžeme být výborní všichni,“ říká. Myšička se v rozhovoru dostává i k politice, veřejné debatě a tomu, proč mu vadí, že lidé často nechtějí hledat řešení, ale vyhrát. „Všichni chtějí zvítězit, ale nechtějí najít to nejlepší řešení,“ říká a dodává, že podobné mechanismy vidí nejen u politiků, ale i v běžných vztazích. Zajímá ho eristická dialektika, manipulativní debatní triky i to, jak snadno se místo skutečné diskuze objeví nálepky, urážky a snaha protivníka porazit. „Slovo je čin,“ říká k tomu, že svoboda projevu podle něj neznamená říkat cokoli bez odpovědnosti. V debatě se vrací i k veřejnoprávním médiím, demokracii a otázce, proč se ve společnosti tak málo hledá průnik. „Proč nejsou pořady typu pojďme najít klidné řešení? Nebo co nás spojuje?“ ptá se. Myšička mluví i o meditacích, holotropním dýchání, ale i o umělé inteligenci. Vnímá ji jako mocný nástroj, ale zároveň jako něco, co neumí ochutnat jablko ani prožít okamžik. Právě AI podle něj může lidem připomenout, že člověk není jen soubor informací. „Být člověk je ještě něco jiného,“ dodává. Co je podle něj nenahraditelné? Proč bude živé setkání možná čím dál vzácnější? A dá se o mužství, ženství, politice i duchovních otázkách mluvit bez nálepek a potřeby zvítězit? Pusťte si celý rozhovor.

HIPP HIPP HURRA! Avsnitt 600 av ”Nemo möter en vän” är här! Och detta ska SÅKLART firas med en riktig drömgäst i form av en livs levande legendar! Intervjuer med denna ikon är sällsynt nu för tiden så det känns exklusivt att den oefterhärmliga Thorsten flinck gästar detta jubileum! Ett samtal om livet, döden och allt däremellan. Varmt, bjussigt, sårbart, ärligt, roligt och lite sorgligt. Ett 5 plus avsnitt helt enkelt!

Découvrez notre épisode de podcast entièrement consacré à Le Monde de Nemo, le célèbre film d'animation Disney Pixar devenu un classique incontournable du cinéma familial ! Dans cet épisode, nous revenons sur l'histoire de Nemo, Marin et Dory, les coulisses de création du film chez Pixar, les scènes cultes, les musiques emblématiques et l'impact du film sur toute une génération.Pourquoi Le Monde de Nemo est-il considéré comme l'un des meilleurs films Pixar ? Quels messages se cachent derrière cette aventure sous-marine pleine d'émotion et d'humour ? Comment le film a-t-il inspiré les attractions Disney dans les parcs à thèmes à travers le monde ? Au programme :Histoire et analyse du film Le Monde de NemoLes personnages cultes : Dory, Marin, Nemo, Bruce et Crush et bien d'autres !Les références cachées et easter eggs Disney PixarL'univers du Monde de Nemo dans les parcs DisneyNostalgie Disney et souvenirs des années 2000Un épisode incontournable pour tous les fans de Disney, Pixar, animation, cinéma d'animation et parcs Disney.Hébergé par Ausha. Visitez ausha.co/politique-de-confidentialite pour plus d'informations.

Send us Fan MailIn one corner, Finding Nemo — Pixar's emotional rollercoaster packed with unforgettable characters, big laughs, and a journey across the sea that hits right in the feels.

1 Let not your heart be troubled. You believe in God, believe also in me.Non turbetur cor vestrum. Creditis in Deum, et in me credite. 2 In my Father's house there are many mansions. If not, I would have told you: because I go to prepare a place for you.In domo Patris mei mansiones multae sunt; si quominus dixissem vobis : quia vado parare vobis locum. 3 And if I shall go, and prepare a place for you, I will come again, and will take you to myself; that where I am, you also may be.Et si abiero, et praeparavero vobis locum, iterum venio, et accipiam vos ad meipsum : ut ubi sum ego, et vos sitis. 4 And whither I go you know, and the way you know.Et quo ego vado scitis, et viam scitis. 5 Thomas saith to him: Lord, we know not whither thou goest; and how can we know the way?Dicit ei Thomas : Domine, nescimus quo vadis : et quomodo possumus viam scire? 6 Jesus saith to him: I am the way, and the truth, and the life. No man cometh to the Father, but by me.Dicit ei Jesus : Ego sum via, et veritas, et vita. Nemo venit ad Patrem, nisi per me. 7 If you had known me, you would without doubt have known my Father also: and from henceforth you shall know him, and you have seen him.Si cognovissetis me, et Patrem meum utique cognovissetis : et amodo cognoscetis eum, et vidistis eum. 8 Philip saith to him: Lord, shew us the Father, and it is enough for us.Dicit ei Philippus : Domine, ostende nobis Patrem, et sufficit nobis. 9 Jesus saith to him: Have I been so long a time with you; and have you not known me? Philip, he that seeth me seeth the Father also. How sayest thou, shew us the Father?Dicit ei Jesus : Tanto tempore vobiscum sum, et non cognovistis me? Philippe, qui videt me, videt et Patrem. Quomodo tu dicis : Ostende nobis Patrem? 10 Do you not believe, that I am in the Father, and the Father in me? The words that I speak to you, I speak not of myself. But the Father who abideth in me, he doth the works.Non creditis quia ego in Patre, et Pater in me est? Verba quae ego loquor vobis, a meipso non loquor. Pater autem in me manens, ipse fecit opera. 11 Believe you not that I am in the Father, and the Father in me?Non creditis quia ego in Patre, et Pater in me est? 12 Otherwise believe for the very works' sake. Amen, amen I say to you, he that believeth in me, the works that I do, he also shall do; and greater than these shall he do.alioquin propter opera ipsa credite. Amen, amen dico vobis, qui credit in me, opera quae ego facio, et ipse faciet, et majora horum faciet. 13 Because I go to the Father: and whatsoever you shall ask the Father in my name, that will I do: that the Father may be glorified in the Son.Quia ego ad Patrem vado: et quodcumque petieritis Patrem in nomine meo, hoc faciam : ut glorificetur Pater in Filio.St Philip, like Peter and Andrew, was of Bethsaida. He was crucified in Phrygia where he preached the Gospel A.D. 87.St James the Less, was of Cana and a kinsman of Our Lord. He wrote one of the Epistles of the New Testament. He was thrown from the terrace of the temple A.D. 93.

We really have people crashing out over a game of chess.

  In this episode, Ray Cochrane leads with Mozilla shipping Firefox 150 with 271 patched bugs found by Anthropic’s Mythos system, the first major real-world deployment of the AlphaGo-Moment cybersecurity tooling. He also covers a 9-year dormant Linux kernel root, a college student stopping Taiwan’s high-speed rail with a software-defined radio, GitHub MCP secret scanning going GA, the NVIDIA NeMo lawsuit surviving its motion to dismiss, the Hugging Face Reachy Mini app store, Anthropic’s Auto Mode for Claude Code, and the 4-gigabyte AI model Chrome silently installed on your computer. – Want to start a podcast? Its easy to get started! Sign-up at Blubrry – Thinking of buying a Starlink? Use my link to support the show. Subscribe to the Newsletter. Email Ray if you want to get in touch! Like and Follow Geek News Central’s Facebook Page. Support my Show Sponsor: Best Godaddy Promo Codes Get 1Password Full Summary Cochrane opens the show with the AlphaGo Moment moving from theory into production. Mozilla shipped Firefox 150 this week with 271 patched bugs that Anthropic’s Mythos system found. Furthermore, the broader episode threads a clear pattern: AI tooling is reshaping security, developer workflows, and consumer software faster than the surrounding ecosystem can absorb it. The show closes on the four-gigabyte AI model Chrome installed on a billion machines without explicit consent. Mozilla Ships 271 Mythos Bugs in Firefox 150 Mozilla ran Anthropic’s restricted Mythos system against the Firefox 150 codebase before shipping. The result: 271 found bugs (180 high severity, 80 moderate, 11 low) baked into the release. However, the bigger number is the year-over-year jump. April 2026 shipped 423 total Firefox security fixes versus 31 a year prior. The breakdown for April: 271 from Mythos, 41 from external researchers, and 111 from other internal sources. Cochrane is sticking to his guns on calling this the AlphaGo Moment for cybersecurity. Skeptics argue Mythos is industrial-scale fuzzing because most found bugs sit in memory-safety territory. However, his counter is the velocity itself. Furthermore, he frames the resistance as carriage-versus-cars: humans-first research still grounds the tool, but throughput is the win. The Firefox CTO put it directly: defenders finally have a chance to win, decisively. For developers asking whether Mythos changes anything if they already run fuzzers, Cochrane’s answer is yes, and not even close. Additionally, he notes Mythos is restricted-access. The broadly available tier is Claude Opus 4.7, which Mozilla used since February before getting onto the restricted program for the Firefox 150 cycle. Run Opus 4.7 first. Sponsor: GoDaddy GoDaddy has been sponsoring this show for over twenty years. Economy hosting starts at $6.99/month, WordPress hosting at $12.99/month, and domains at $11.99. Use codes at geeknewscentral.com/godaddy for exclusive deals and to directly support the show. Copy Fail: 9-Year Linux Kernel Bug, 732 Bytes to Root A 9-year-old dormant Linux kernel bug got disclosed April 29 as CVE-2026-31431. Researchers published a 732-byte Python script that roots every major Linux distribution shipped since 2017. Additionally, CISA added the CVE to its Known Exploited Vulnerabilities catalog on May 1 with a May 15 federal deadline. The bug lives in the kernel’s crypto socket layer through the AF_ALG AEAD interface, originating in a 2017 in-place crypto optimization that lacked bounds checking. Cloudflare published their post-mortem this week. Their first instinct was to remove the kernel module entirely. However, service dependencies forced a workaround instead. Cloudflare resumed normal patched-kernel reboot automation across their 330-city fleet on May 4, with manual reboots and rollouts continuing after. Taiwan Rail Stopped by a 23-Year-Old With a Software-Defined Radio A 23-year-old Taiwanese university student with the surname Lin spoofed a TETRA general alarm signal on April 5, stopping trains on Taiwan’s high-speed rail. The accomplice supplied the radio parameters. Both were arrested by month-end. Lin posted NT$100,000 bail; the accomplice posted NT$80,000. The incident hit at 11:23 PM during the Qingming holiday weekend, stopping three revenue passenger trains plus one deadhead. Furthermore, the system has been in service for 19 years without rotating its cryptographic parameters once. Cochrane notes this is exactly the type of long-dormant infrastructure flaw that Mythos-class tooling catches, if anyone bothers to point it at the wires we already have. GitHub MCP Secret Scanning Goes GA GitHub’s secret scanning in the MCP server hit GA on May 5, with dependency scanning entering public preview the same day. Both released after a seven-week public preview run starting March 17. Additionally, the feature lets MCP-compatible coding agents (Copilot CLI, VS Code, JetBrains, Claude Code, Cursor, Windsurf) detect exposed secrets before commits or pull requests. Findings are ephemeral. They surface only in the current chat session and don’t persist as GitHub alerts. Sources disagree on scope: GitHub’s GA changelog says repo-level or org-level settings work, while the docs say only org-level applies. Cochrane flags the open question of whether MCP prompt injections could be exploited to send discovered secrets elsewhere. Subquadratic Debuts a 12-Million-Token Context Window Miami-based Subquadratic emerged from stealth on May 5 with a $29 million seed round and a reported $500 million valuation. Their model, SubQ 1M-Preview, runs on a new Subquadratic Sparse Attention architecture (their technical writeup calls it Selective Attention; same acronym, different second word). The headline claim: a thousand-times reduction in attention compute at 12 million tokens versus frontier models. However, that figure is vendor marketing math. There is no peer-reviewed paper, no public weights, and no independent benchmark replication. Researchers are demanding independent proof. Furthermore, CTO Alex Whedon’s pull line, “Retrieval / RAG plumbing is a waste of human intelligence,” signals how aggressively they want to position against retrieval-augmented architectures. ChatGPT Goblins, China’s “Catch You Steadily”: Sycophancy Is Universal Last week’s ChatGPT goblin obsession has a Chinese-language twin. The model overuses a phrase translating as “I will steadily catch you.” Additionally, a new Stanford and CMU study called ELEPHANT shows social sycophancy is universal across all 11 LLMs tested with 2,400-plus participants. Models endorsed users 49 percent more than humans did, and 47 percent even on harmful prompts. Alibaba’s Qwen and DeepSeek topped the rankings. Cochrane notes sycophancy is obvious once you’re aware of it but tricky to dissuade. Even with explicit instructions, longer context windows can reintroduce the behavior as the instructions get diluted. Furthermore, the trap is believing you’ve handled it. Once you think you’ve got it under control, you’re more prone to being influenced because you stopped watching for it. NVIDIA NeMo Lawsuit: Judge Tigar Denies Motion to Dismiss Three authors filed Nazemian v. NVIDIA in March 2024, alleging NVIDIA used The Pile and Books3 (approximately 196,640 pirated books) to train its NeMo AI framework. NVIDIA’s defense relied on the Sony v. Universal Betamax doctrine, arguing NeMo’s training scripts are general-purpose tools like a VCR. This week, Judge Tigar denied NVIDIA’s motion to dismiss in the Northern District of California. The headline quote: NeMo’s training scripts “have no other purpose than to speed up the process of infringement.” Furthermore, the judge rejected the VCR analogy outright. NeMo’s scripts are not general-purpose tools; they were allegedly purpose-built to ingest pirated material. Cochrane reads the Betamax framing as legal-jargon arbitrage rather than honest defense. The Humanoid Robot Market Is Smaller Than the Hype Michael Barnard at CleanTechnica argues that scenario-math against the global labor market puts realistic humanoid TAM at $200 billion to $1 trillion, not $20 trillion. Near-term wins cluster in warehouses, not homes. Additionally, the framework weighs dexterity burden against human-proximity safety burden. Real opportunities cluster where both burdens are low. Cochrane connects this to last week’s reservations about humanoids in the household. Furthermore, the risk profile is the issue: these robots aren’t prepared for every scenario, can’t make dynamic decisions, and one software update can change the definition of “safe.” Hugging Face Launches Reachy Mini App Store Hugging Face launched an open-source app store for the Reachy Mini robot this week, $299 for the Lite tethered version and $449 wireless. There are 200-plus community-built apps at launch from over 150 creators, with nearly 10,000 Reachy Minis cumulative shipped. Additionally, apps are forkable, with the default agent (ML Intern) able to modify, write, test, and ship code on any existing app. Examples at launch include an office receptionist built in under two hours, a Reachy Phone Home anti-procrastination app, baby-monitor-style apps, a cooking assistant, and a 78-year-old Joel Cohen’s voice-controlled CEO peer-group app. Pollen Robotics, the company behind Reachy, was acquired by Hugging Face on April 14, 2025. Bebop the Humanoid Robot Delays Southwest Flight 1568 A 4-foot, 70-pound humanoid robot named Bebop delayed Southwest flight 1568 from Oakland to San Diego by more than 73 minutes on April 30. The crew flagged the lithium battery as oversized. Furthermore, the battery was reportedly four times the cabin limit. Bebop belongs to Dallas-based Elite Event Robotics, which bought a full-price cabin ticket because the robot exceeded checked-baggage weight. Bebop danced for passengers at the gate before boarding. However, Southwest had Elite remove the batteries before departure, and replacements were overnighted to Chicago for the next event. Cochrane flags the obvious: batteries have always been flagged in aviation, so forgetting that with a humanoid robot in tow is a strange miss. Ouster Rev8: Native Color Lidar With Google, Volvo, Skydio Stating Intent Ouster announced the Rev8 OS Family on May 4 in San Francisco. The sensors fuse depth and color via SPAD detectors (single photon avalanche diodes) on Ouster’s custom L4 and L4 Max chips. Google, Volvo Autonomous Solutions, Skydio, Liebherr, Epiroc, and PlusAI have stated intent to adopt, though nothing is formally signed. Specs include 48-bit color, 116 dB dynamic range, and pre-fused 3D colorized point clouds. The OS1 Max gets 500-meter max detection. Available to order today and shipping this quarter, with no pricing disclosed. CEO Angus Pacala in his TechCrunch interview: “The goal is to obviate cameras. There’s no reason that one sensor can’t do both.” TagTinker Lets a Flipper Zero Mess With Electronic Shelf Labels A new Flipper Zero app called TagTinker uses infrared signals to push images and text to electronic shelf labels. Additionally, these are the same kind of price tags grocery chains are starting to use for surveillance pricing. The app and GitHub repo went public this week. Maryland’s HB 895, signed by Governor Wes Moore, takes effect October 1 as the first-in-nation surveillance pricing law. It covers food retailers and third-party food delivery service providers. Furthermore, ESLs use the same IR signaling as TV remotes with weak security. The dev’s disclaimer states it’s strictly for educational research, security curiosity, and displaying digital art on hardware you legally own. Fitbit App Becomes Google Health, Plus Fitbit Air, Plus Google Fit Sunset Google announced May 7 that the Fitbit app becomes Google Health on May 19, rolling through May 26. The launch ships with the new $99.99 Fitbit Air screenless tracker and the long-rumored Google Fit shutdown. Additionally, the four-tab interface (Today, Fitness, Sleep, Health) bundles a Gemini-powered AI Health Coach. Coach is premium-gated at $9.99/month or $99/year. Medical records integration is US-only at launch. The Fitbit Air gets up to one week of battery life and 50-meter water resistance. However, Cochrane flags conflicting privacy framing: Google’s AI summary bullets say “your data stays private,” but the actual document copy says only “committed to not using Fitbit user health and wellness data for Google Ads.” Those are not the same statement. Russinovich on Why Win32 Won and WinRT Didn’t Microsoft Azure CTO Mark Russinovich said via Microsoft Dev Docs video that Win32, the 1995 API, is still foundational to Windows 11. WinRT, the modernization replacement, “didn’t play out the way a lot of people expected.” Mostly clickbait framing per Windows Latest, but the substantive angle is real. Microsoft is pivoting back to native WinUI 3 development after years of pushing developers toward WebView2 and Electron. Additionally, Electron-based apps are known for insane RAM usage, and everyone is hurting for RAM right now. Furthermore, the bigger open question is whether Electron survives the test of time, especially with the React engine reportedly being rewritten in Rust. “Tabula Plena”: The Brain Starts Full, Not Blank A Nature Communications study from the Institute of Science and Technology Austria found that the mouse hippocampal CA3 recurrent network begins densely connected and refines through pruning. ISTA’s press release frames this as “tabula plena,” meaning full slate, counter to tabula rasa. The paper published April 21. First author Victor Vargas-Barroso and senior author Professor Peter Jonas studied mice at three developmental stages. Furthermore, the “starting overloaded enables faster sensory integration” framing is Jonas’s hypothesis from the press release, not a paper conclusion. Cochrane closes on the bigger question: did we have human growth and experience mapped wrong from the start? The Aqueous Battery You Can Pour Down the Drain A Chinese research team led by Professor Chunyi Zhi at City University of Hong Kong built an aqueous battery using a custom organic polymer electrode plus neutral magnesium and calcium salts (food-grade tofu coagulants) as electrolyte. Published in Nature Communications on February 18. Numbers to know: 120,000-plus charge cycles, full-cell energy density of 48.3 watt-hours per kilogram. That’s well below typical lithium-ion. However, post-cycling analysis showed only magnesium, calcium, chlorine, carbon, and copper, with no heavy metals. The cell complies with US RCRA, ISO 14001, and China’s GB 18599-2020 for direct environmental disposal. Additionally, the “300-plus years” framing is journalists extrapolating from the 120,000 cycles, not a paper claim. ResoNix Klippel Tests Expose Car-Audio Spec Lies Nick Apicella, founder of ResoNix Sound Solutions in Stony Point, New York, spent around $23,000 on independent Klippel LSI and TRF testing of 40 subwoofers. He published 21 results showing widespread misrepresentation of Xmax (excursion) and thermal/power-handling claims. Test data published in three batches between December 2025 and January 2026. Specifics: Wavtech thinPRO12 claimed 20 mm of excursion but delivered 8.85 mm, scoring 15 out of 100 on marketing accuracy. One driver hit 44 percent of advertised excursion. Another tripped thermal protection at half its rated power. Additionally, nine of 21 drivers scored below 50 out of 100. Brands tested include JL Audio, Sundown, Focal, Morel, Audiofrog, Adire, Stereo Integrity, and Dynaudio. Conflict-of-interest flag: ResoNix’s own GUS-15, 12, and 10 prototypes conveniently rank one, two, three. JetBrains Opens 2026 Developer Ecosystem Survey JetBrains opened the 10th annual Developer Ecosystem Survey this week. It takes about 30 minutes, with prizes including a MacBook Pro 16-inch and a $1,000 Amazon gift card. Anonymized raw data is published publicly, and cumulative scale is 100,000-plus developers across recent years. Additionally, the survey is going fully anti-AI: “evil bots, dishonest respondents, and AI agents will be excluded from prize distribution.” Cochrane is curious whether TypeScript holds its 2025 crown after knocking Python off, and whether Rust shows real growth given the wave of LLM-driven Rust rewrites in the past few months. Anthropic’s Claude Code Auto Mode Goes Live Anthropic launched Auto Mode for Claude Code roughly six weeks ago. Claude Code’s previous behavior required user approval for most file modifications and command executions, generating heavy approval-fatigue complaints during longer sessions. Auto Mode is the answer: Claude can run multi-step development tasks without per-action approval. Additionally, the architecture is a two-stage classifier, with stage one a fast yes/no filter and stage two doing chain-of-thought on flagged actions. Cochrane runs his own Claude Code in YOLO mode but with custom rejection rules baked into settings to block commands he doesn’t want, even with skip-permissions on. He recommends configuring settings as the actual policy layer rather than relying on classifier judgment alone. Furthermore, recent posts about Claude deleting websites or wiping production databases reinforce why the settings layer matters more than the auto-mode toggle. Chrome Quietly Installed a 4GB AI Model on Your Computer Google Chrome silently downloads on-device AI model weights (Gemini Nano family) to a `weights.bin` file in the OptGuideOnDeviceModel directory, around four gigabytes in Alexander Hanff’s audit. Furthermore, the model re-downloads if you delete it. Hanff timed his own install at 14 minutes 28 seconds on macOS. Affected platforms include Windows, macOS (including Apple Silicon), and Linux. Hanff frames this as a multi-front legal violation: a direct breach of Europe’s ePrivacy Directive, two articles of GDPR, and an environmental harm of a magnitude that would be notifiable under the Corporate Sustainability Reporting Directive. At one billion users, the four-gigabyte distribution represents roughly 240 gigawatt-hours of network and storage energy paired with about 60,000 tonnes of CO2-equivalent emissions. However, no EU regulator action or formal complaint has surfaced as of this episode. The model powers on-device features (email writing, scam detection, summarization, smart paste, tab grouping) but not the visible AI Mode button, which routes to the cloud. To disable, Cochrane recommends Chrome Settings, then System, then On-device AI, toggle to off. Two more paths exist via `chrome://flags` or a Windows registry edit. Cochrane closes the show with show housekeeping: GNC Insider at geeknewscentral.com/insider, email at geeknews@gmail.com, newsletter signup at geeknewscentral.com, and Pocket Casts as a solid modern podcast app pick. Have a wonderful night. The post Mozilla Meets Mythos #1864 appeared first on Geek News Central.

Most first-timers give EPCOT half a day and leave thinking it was fine. Guestswho know the park spend a full day — sometimes two — and call it their favorite.In Episode 11, Kelly Bennett breaks down everything you need to know to be inthat second group.EPCOT is 305 acres organized into four neighborhoods: World Discovery (home ofGuardians of the Galaxy: Cosmic Rewind and Mission: SPACE), World Nature (Soarin'Around the World, Living with the Land, The Seas with Nemo & Friends), WorldCelebration (Spaceship Earth, Figment), and World Showcase — a 1.2-milepromenade featuring 11 international pavilions. This episode covers all of it.Key takeaways:— EPCOT has a second entrance — the International Gateway, located between the  France and United Kingdom pavilions — that guests at BoardWalk, Beach Club,  Yacht Club, and Swan and Dolphin can walk to directly. This puts them in the  heart of World Showcase without fighting the main entrance crowds.— Guardians of the Galaxy: Cosmic Rewind is the highest-priority Lightning Lane  at EPCOT; book Individual Lightning Lane at 7 AM or arrive at rope drop.— EPCOT hosts four rotating festivals throughout the year. The International Food  & Wine Festival (late August–November) features 30+ food and beverage booths  around World Showcase and is one of the best experiences in all of Walt Disney  World for adults.— Le Cellier Steakhouse in the Canada pavilion is one of the most sought-after  dining reservations at Walt Disney World. Book 60 days out.Plan your full trip at MyDisneyBrain.com — the Walt Disney World First-Timer'sComplete Planning Guide is $37 and covers EPCOT in complete detail.Is EPCOT worth a full day at Walt Disney World? Absolutely — if you know thestrategy. In Episode 11 of My Disney Brain, Kelly Bennett breaks down EPCOT'sfour neighborhoods, all 11 World Showcase pavilions, the secret InternationalGateway entrance, rope drop strategy for Guardians of the Galaxy: Cosmic Rewindand Frozen Ever After, the four rotating EPCOT festivals (Food & Wine, Flower &Garden, Festival of the Arts, Festival of the Holidays with CandlelightProcessional), top dining picks including Le Cellier and Teppan Edo, and themost common EPCOT planning mistakes. Essential listening for anyone planning a2026 Walt Disney World vacation. Get the complete planning guide atMyDisneyBrain.com.──────────────────────────────────────KEY TAKEAWAYS (scannable bullet points)• EPCOT's four neighborhoods — World Discovery, World Nature, World Celebration,  and World Showcase — require a full day to experience properly; half-day visits  consistently leave guests feeling like they missed something• The International Gateway (between France and UK pavilions) is EPCOT's second  entrance — guests at BoardWalk, Beach Club, Yacht Club, Swan, and Dolphin can  walk directly into World Showcase without going through the main entrance• Guardians of the Galaxy: Cosmic Rewind is the top Lightning Lane priority at  EPCOT — book Individual Lightning Lane at 7 AM on the day of visit or target  it at rope drop; standby waits regularly exceed 90 minutes• World Showcase features 11 international pavilions, each staffed by cultural  representatives from those countries; must-stops include NorwayNew Opening / My Disney Brain 2023Buzzsprout - Let's get your podcast launched! Start for FREE New Closing / My Disney Brain 2023Buzzsprout - Let's get your podcast launched! Start for FREESupport the show

A group of strangers brought together by a clandestine organization known as Quiet Horizon investigate the disappearance of a group of friends last seen at a movie theatre in Glendale, CA. Watch the video here: ⁠https://youtu.be/ye1lb4d-OaY Cast: Ross Bryant, Paula Deming, Jared Logan, Skid Maher, Jason Charles Miller, Becca Scott, and Troy Lavallee Come see us LIVE in a city near you at ⁠https://www.glasscannonnetwork.com/tour⁠ Dallas, TX | 5/13/2026 St. Paul, MN | 5/14/2026 Indianapolis, IN | 7/30/2026 Indianapolis, IN | 7/31/2026 New Orleans, LA | 9/2/2026 Atlanta, GA | 9/3/2026 Madison, WI | 10/15/2026 Philadelphia, PA | 12/4/2026 Philadelphia, PA | 12/5/2026 Access ad-free episodes, exclusive podcasts, and more at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠jointhenaish.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

While we're not doing as much predicting this year, you better believe we've got opinions about our favorites, so we're welcoming back pop music expert Dave Holmes of International Waters to take a look at what we're liking in 2026. Jeremy's dancing on the table, baby, Dimitry is always mindful of his Croatia history, Dave shocks us with his #1 pick, and Oscar just wants more. Linda Lampenius on Baywatch in 1999: https://www.youtube.com/watch?v=ELYPQ7tw7mE This week's companion playlist: https://open.spotify.com/playlist/0ipIZVcS6eqQ0h0NZ5vk03 Thanks to everyone who participated in this year's MaxFunDrive! Still want to get in on the action? Follow this link to support this show (and get in on our limited-time keychain sale to benefit the Center for Constitutional Rights): https://maximumfun.org/joineurovangelists Eurovangelists is an American Eurovision podcast, made in the US for Eurovision fans worldwide. The Eurovangelists are Jeremy Bent, Oscar Montoya and Dimitry Pompée.The theme was arranged and recorded by Cody McCorry and Faye Fadem, and the logo was designed by Tom Deja.Production support for this show was provided by the Maximum Fun network.The show is edited by Jeremy Bent with audio mixing help was courtesy of Shane O'Connell.Find Eurovangelists on social media as @eurovangelists on Instagram and @eurovangelists.com on Bluesky, or send us an email at eurovangelists@gmail.com. Head to https://maxfunstore.com/collections/eurovangelists for Eurovangelists merch. Also follow the Eurovangelists account on Spotify and check out our playlists of Eurovision hits, competitors in upcoming national finals, and companion playlists to every single episode, including this one!

Vous avez dit "bizarre" ? C'est bien normal. Voici la première série de Baleine sous Gravillon consacrée à des espèces animales extraordinairement étranges.Dans cette troisième série "Bizarres", Marc et Marie-Juliette se penchent sur 5 animaux au développement étrange : au moins une étape de leur existence possède des caractéristiques insolites, de la gestation à la fin de vie, en passant par la reproduction...Pour terminer cette série en beauté, voici un des plus étranges poissons qui soit, et un emblème de l'écosystème BSG car il a déjà fait l'objet de plusieurs émissions dans Nomen et PPDP : le Poisson-lune.Il est aussi appelé la “môle” en français, qui vient du latin mola, "la meule" ; mot que l'on retrouve dans son nom scientifique, Mola sp, chez 4 des 5 espèces. Le Poisson-lune porte le même nom dans d'autres langues: pesce luna en italien, pez luna en espagnol, Peixe-lua en portugais, Mondfisch en allemand. Ce nom est dû à sa forme ronde et à sa couleur grise à blanchâtre, rappelant la lune.Évidemment, si l'on parle encore de lui aujourd'hui, c'est qu'il est détenteur de plusieurs records et spécialiste des habitudes cheloues :C'est le plus gros poisson osseux du monde : en 2021, un spécimen mort de Poisson-lune à bosse (Mola alexandrini) a été retrouvé mort près des Açores. Ce géant pesait pas moins de 2744 kg. On est quand même très loin du Requin baleine, un placide mangeur de plancton cartilagineux de... 20 tonnes.Ce poisson est souvent proche de la surface. N'ayant pas d'écailles, il a beaucoup de parasites sur la peau, une cinquantaine d'espèces ! Pour s'en débarrasser, la Môle “fait la planche” à la surface de l'eau pour inviter les oiseaux à les picorer. C'est le seul exemple connu d'interaction positive et mutuellement bénéfique entre un poisson et un oiseau !Ce gros mangeur de méduses, n'a pas de queue, et nage donc en godillant. D'où son surnom à Taïwan de "Poisson-mambo", car son dandinement a rappelé aux habitants de cet état la fameuse danse.Enfin, sa femelle détient le record du nombre d'œufs pondus en une fois par un vertébré : 300 à 350 millions ! Ces œufs donnent ensuite naissance à des larves de seulement 2,5 mm (contre 2 à 3m pour l'adulte !) qui pour la plupart ne survivront pas avant d'atteindre l'âge adulte. Ce dernier point est l'occasion de se poser la question suivante : pourquoi les Poissons-lunes (et maintes autres espèces) produisent-ils une descendance aussi importante si ce n'est que pour que seulement quelques enfants puissent se reproduire à leur tour ? L'occasion rêvée pour parler d'une théorie des années 60 qui oppose deux grands types d'organismes, d'un côté ceux qui se reproduisent beaucoup mais qui engendrent des petits fragiles et de l'autre ceux qui se reproduisent peu mais qui font naître des petits plus viables : c'est "le modèle évolutif r/K"...___SOURCES :Vignette : Larve de Mola alexandrini, une des 5 espèces de Poissons-lunes (©Kerryn Parkinson)Extraits :03'41 : Léonard Bernstein -"Mambo", issu de la comédie musicale West Side Story, créée avec Arthur Laurents et Stephen Sondheim, 1957. Interprétation par l'Orchestre Philharmonique de Berlin (℗ Berliner Philharmoniker).11'26 : Le Monde de Nemo, Andrew Stanton & Lee Unkrich, 2003 (©Pixar)19'43: "heartbeat" (Pixabay)Hébergé par Ausha. Visitez ausha.co/politique-de-confidentialite pour plus d'informations.

In this episode, we sit down with Jared Smith –an ex-Christian, former Wheaton College student, and atheist YouTuber –to explore what happens when someone deeply rooted in evangelical Christianity takes a serious look at Mormonism.Jared shares his journey from devoted believer to skeptic, including his time at Wheaton College (often called the “Harvard of Christian institutions”), where he studied everything from apologetics to exorcism –and even Christian heavy metal.We dive into his firsthand experiences auditing religions, attending Mormon services, reading the Book of Mormon, and engaging with LDS culture from an outsider's perspective. Along the way, we explore what it's like to WANT your religion to be true –and still lose it, the role of Jesus in Mormonism vs. traditional Christianity, those who take religion most seriously are the ones who seem to be leaving, the emotional and intellectual toll of deconstruction, what he thought when he read the Book of Mormon, and the intersection of belief, identity, and online content creation.We also discuss broader topics like Jehovah's Witnesses and blood doctrine, charismatic Christianity (including exorcism and speaking in tongues), and the culture of apologetics across faith traditions.Jared offers a thoughtful, non-combative perspective as someone more interested in understanding belief than attacking it –making this conversation a nuanced look at faith, doubt and everything in between.Check out Jared's YouTube channel “Heliocentric”: https://www.youtube.com/channel/UCS5YtyTzVJo_N-vjub8te3gVideos to watch in preparation for our next episode with Jared Smith:“This Mormon church sucked” - https://www.youtube.com/watch?v=j_iAA_Zp-GQHis episode with Nemo the Mormon - https://www.youtube.com/watch?v=KQSo0aQQkbgJacob Hansen's response to Jared - https://www.youtube.com/watch?v=MOFghorZj9s___________________YouTubeAt Mormon Stories we explore, celebrate, and challenge Mormon culture through in-depth stories told by members and former members of The Church of Jesus Christ of Latter-day Saints as well as scholars, authors, LDS apologists, and other professionals.  Our overall mission is to: 1. Facilitate informed consent amongst LDS Church members, investigators, and non-members regarding Mormon history, doctrine, and theology2. Support Mormons (and members of other high-demand religions) who are experiencing a religious faith crisis3. Promote healing, growth and community for those who choose to leave the LDS Church or other high demand religions

Elles sont trois filles, trois voix, qui portent les voix de centaines de filles. Elles sont trois mutines, trois luttes pour trois heures de liberté. À chaque voix, un motif électronique, à chaque heure, une chorégraphie musicale. Tandis que s'élèvent implacablement les images des écoles de préservation, bagnes de nos sœurs, de nos mères, de nos filles – sur scène voix parlée et musicale s'unissent pour entonner le seul chant possible, celui de la liberté. En partenariat avec le Festival Effractions À lire – Perrine Le Querrec, Mutines, La Contre allée, 2026

Wenn Clownsfische, wie Nemo, geboren werden, sind sie männlich. Dann kämpfen sie gegeneinander und die Stärksten werden zu Weibchen. Unglaubliche Geschichten aus dem Tierreich erzählt Zoopädagoge Christian Niemann. Seine Lieblingstiere sind übrigens Huftiere, warum, erzählt er auf der Blauen Couch. 

For most of its history, the Church of Jesus Christ of Latter-day Saints has claimed that excommunication is rare, loving, and purely spiritual. Since 2015, that claim has become increasingly difficult to defend.In the internet age, church discipline no longer happens quietly behind closed doors. It unfolds in newspapers, podcasts, television interviews, and viral social media posts. From child-protection advocate Sam Young, feminist activist Kate Kelly, and CES Letter author Jeremy Runnells, to podcasters John Dehlin and Bill Reel, and even sitting General Authority James Hamula, these cases reveal a clear pattern: when influence extends beyond the chapel, discipline follows.On this episode of Mormon News Roundup, we count down the Top 10 most high-profile Mormon excommunications of the last decade — many covered by CNN, NPR, The New York Times, Time Magazine, and international media.These are not resignations.These are not quiet exits.These are members who were formally cast out — and whose stories the Church could not contain.

Happy 414 day! Alley and DZ welcome many guests to celebrate, from Crafty Cow owner Devin Eichler to woodwork artist Ike Wynter to Antetokounbros store director Nemo and lastly MKE with Kids founder Calie Herbst. DZ wants to know if he should pull his son out of school and asks for advice. They discuss the popular life goals they could care less about like marriage, kids and college.

Greetings my fellow ModelGeeks, and welcome to the MGPC Episode 121!  Nemo is your HAC for this episode, with a full house!  We chat about the latest and greatest in everyone's model world and get caught up with what's happening in the hobby.  The mail bag was overflowing with over 20 emails, which is amazing!  We really appreciate the emails and love hearing from you all.  Also, thanks again for the listener gallery submissions.  Please keep the emails and gallery pics coming and we can't wait to see your work, discuss them on the podcast, and present them on our website.For the main topic, we discuss the basics of mixing, applying, and removing washes.  We have to thank Nemo for the topic, since he goofed up using the Red Cap Ronsonol which stripped the Gunze Aqueous and Tamiya acrylic paint.  Rudy and LionHeart to the rescue!!  We discuss different types of washes, including our preferred methods of mixing, applying, and removing them.  It's a great topic so we hope you all give it a listen.Please feel free to interact with us through social media, Facebook, Instagram, and email:  contact@modelgeekspodcast.comBe sure to check out our website: www.modelgeekspodcast.com.Make sure you check out our new group / community on Facebook, The ModelGeeks Model ShackWe also want to thank each of our sponsors for their support. We are very lucky to have their support. When you have the time, pay a visit to their web sites, and have a look at their fine products.Detail and ScaleFurball Aero-DesignTamiya USABases by BillLionHeart HobbyHypersonic ModelsMatters of ScaleKotare ModelsSquadron Also, if you're interested in the model shows, click the link below!IPMS USA Events PageWe are very fortunate to be able to join the scale modeling podcast community and are in the company of several other really GREAT podcasts. Hopefully, someday we'll earn our wings and be able to keep up with those guys!  Please check them all out at Scale Model Podcasts.Blogs:The Kit BoxSprue Pie with FretsModel Airplane Maker Well, that's it for this episode.  Thanks again for all your support and we hope to see you all this year.  Just remember, be excellent to each other, and get out there and build something!  Take care everyone, out from the Geeks!Support the showModel Geeks Podcast

Ruská ofenzíva na Ukrajine stráca tempo, USA pritvrdzujú voči Iránu aj NATO a veľmoci opäť súťažia o Mesiac. Generál Pavel Macko analyzuje kľúčové bezpečnostné udalosti uplynulých dní a ich dopady na Európu aj Slovensko.

Easter Monday wasn’t just full of buns, eggs and bunnies – it was full of your Eurovision favourites! For the seventh time, Australia voted for their top 100 Eurovision songs of all time, thanks to the amazing people at OGAE Australia. This is Australia’s Eurovision Top 100 with OGAE Australia on JOY. Michael, Ethan and Damian hang around in JOY’s Rainbow Room to count down from 35 to 23. Share your thoughts on the socials using #ESCTop100 Follow JOYEurovision across the socials: linktr.ee/joy_eurovision The countdown #35: Alexander Rybak – Fairytale (Norway 2009) #34: The Roop – Discoteque (Lithuania 2021) #33: Nemo – The Code (Switzerland 2024) #32: Kaleen – We Will Rave (Austria 2024) #31: Nebulossa – Zorra (Spain 2024) #30: Daði og Gagnamagnið – Think About Things (Iceland 2020) #29: Abor & Tynna – Baller (Germany 2025) #28: Alyona Alyona & Jerry Heil – Teresa & Maria (Ukraine 2024) #27: Kate Miller-Heidke – Zero Gravity (Australia 2019) #26: Go-Jo – Milkshake Man (Australia 2025) #25: Måneskin – Zitti e buoni (Italy 2021) #24: Ruslana – Wild Dances (Ukraine 2004) #23: Mahmood – Soldi (Italy 2019) The post Australia’s Eurovision Top 100 2026: Counting down from 35 to 23 appeared first on JOY Eurovision.

Les Baladeurs existent aussi en BD, rendez-vous sur lesbaladeurs.fr pour les découvrir.Le 10 novembre 2024, Violette Dorange s'élançait sur son premier Vendée Globe. La peur du grand large la saisissait, mais plus forte encore était la promesse de réaliser ses rêves d'enfance : franchir l'équateur, défier les mers du Sud et atteindre le point Nemo. Tant de premières fois l'attendaient, où elle allait devoir repousser ses limites, suivre sa détermination et montrer que la jeunesse pouvait, elle aussi, braver les océans.Abonnez-vous à notre newsletter pour ne louper aucun épisode ➡️

John 1:15-18You might like to get some copies of The Lightning-Fast Field Guide to the Bible for yourself and for others - here's a link that gets TMBH a little kickback: https://amzn.to/4pEYSS9Thanks to everyone who supports TMBH at patreon.com/thetmbhpodcastYou're the reason we can all do this together!Discuss the episode hereMusic by Jeff Foote

This week on the Mouse Minutes Podcast, Whitney + Jordan stop by EPCOT to soak up spring's most colorful celebration, the EPCOT International Flower & Garden Festival.From cheery character topiaries and vibrant landscapes to fresh Outdoor Kitchen snacks and the Garden Rocks Concert Series, Flower & Garden brings seasonal fun to every corner of the park. But does the beauty, buzz, and festival food live up to the hype — and should you plan your trip to make the festival?In this episode, we break down:Listen in as we share our grades to help you decide if Flower & Garden makes the grade for your next Walt Disney World spring trip.Your ten minutes start… now!. . . Want even more Mouse Minutes for your next trip?Grab our official Mouse Minutes Character Autograph Book, perfect for collecting signatures and memories during your Disney vacation [Grab it HERE!]. . . Listen in to these other Mouse Minutes Podcast episodes around EPCOT!Guardians of the Galaxy: Cosmic Rewind | Episode 056Le Cellier Restaurant | Episode 042The Seas with Nemo & Friends at EPCOT | Episode 064. . . Leave a review for Mouse Minutes Podcast today!

 1 After these things Jesus walked in Galilee; for he would not walk in Judea, because the Jews sought to kill him.Post haec autem ambulabat Jesus in Galilaeam : non enim volebat in Judaeam ambulare, quia quaerebant eum Judaei interficere. 2 Now the Jews' feast of tabernacles was at hand.Erat autem in proximo dies festus Judaeorum, Scenopegia. 3 And his brethren said to him: Pass from hence, and go into Judea; that thy disciples also may see thy works which thou dost.Dixerunt autem ad eum fratres ejus : Transi hinc, et vade in Judaeam, ut et discipuli tui videant opera tua, quae facis. 4 For there is no man that doth any thing in secret, and he himself seeketh to be known openly. If thou do these things, manifest thyself to the world.Nemo quippe in occulto quid facit, et quaerit ipse in palam esse : si haec facis, manifesta teipsum mundo. 5 For neither did his brethren believe in him.Neque enim fratres ejus credebant in eum. 6 Then Jesus said to them: My time is not yet come; but your time is always ready.Dicit ergo eis Jesus : Tempus meum nondum advenit : tempus autem vestrum semper est paratum. 7 The world cannot hate you; but me it hateth: because I give testimony of it, that the works thereof are evil.Non potest mundus odisse vos : me autem odit, quia ego testimonium perhibeo de illo quod opera ejus mala sunt. 8 Go you up to this festival day, but I go not up to this festival day: because my time is not accomplished.Vos ascendite ad diem festum hunc, ego autem non ascendo ad diem festum istum : quia meum tempus nondum impletum est. 9 When he had said these things, he himself stayed in Galilee.Haec cum dixisset, ipse mansit in Galilaea. 10 But after his brethren were gone up, then he also went up to the feast, not openly, but, as it were, in secret.Ut autem ascenderunt fratres ejus, tunc et ipse ascendit ad diem festum non manifeste, sed quasi in occulto. 11 The Jews therefore sought him on the festival day, and said: Where is he?Judaei ergo quaerebant eum in die festo, et dicebant : Ubi est ille? 12 And there was much murmuring among the multitude concerning him. For some said: He is a good man. And others said: No, but he seduceth the people.Et murmur multum erat in turba de eo. Quidam enim dicebant : Quia bonus est. Alii autem dicebant : Non, sed seducit turbas. 13 Yet no man spoke openly of him, for fear of the Jews.Nemo tamen palam loquebatur de illo propter metum Judaeorum.

Chas & Dr Dave discuss Big Stack Bullies, Excursion Crimes, and The World's Luckiest Make A Wish Kid WARNING: This episode of PEP may contain explicit language.   Timestamps: 0:00 - Introducing: Dr Dave 2:12 - Grateful (Tigers, Internet Reviewed) 9:12 - Updates (Tariffs, Corruption) 19:21 - Not Normal 46:21 - Markwayne Mullin Confirmation 1:04:28 - Iran: Updates, Mines 1:43:55 - Iran: Allies + NATO 2:44:42 - Unleashed (Iran Thin Skin, Joe Kent)   Homework: * Mullin Classified Mission Questioning - https://www.youtube.com/watch?v=1SJmhLGQ1A8   SHOW LINKS: *Chat with the PEPpers on the Discord Server: https://discord.com/invite/WxDD2PPvaW   THE (UPDATED) DR DAVE BOOK CLUB MASTERLIST: Connie Willis - Doomsday Book & To Say Nothing of the Dog (Mentioned 4:26, Ep 244) Richard Yates - Revolutionary Road (Mentioned 1:48:45, Ep 240) Michael Lewis - Who Is Government? (Mentioned 2:19:59, Ep 235) Orlando Whitfield - All That Glitters (Mentioned 2:34:37, Ep 232) John Lyons - Balcony Over Jerusalem (Mentioned 2:45:26, Ep 231) Yukio Mishima - Spring Snow (Mentioned 2:35:12, Ep 227) John Steinbeck - Cannery Row (Mentioned 02:39, Ep 226) David Simon & Ed Burns - The Corner: A Year in the Life of an Inner-City Neighborhood (Mentioned 2:21:40, Ep 225) William Appleman Williams - The Tragedy of American Diplomacy (Mentioned 2:11:23, Ep 222) Mahmood Mamdani - Good Muslim, Bad Muslim (Mentioned 2:07:14, Ep 220) Carlo Rovelli - The Order Of Time (Mentioned 06:36, Ep 220) Carlo Rovelli - Reality Is Not What It Seems (Mentioned 06:36, Ep 220) Ryszard Kapuściński - Shah of Shahs (Mentioned 2:21:27, Ep 217) Ervand Abrahamian - Khomeinism (Mentioned 2:23:19, Ep 217) Anthony Seldon - Truss at 10 (Mentioned 1:36:09, Ep 215) Steven Teles - The Conservative Legal Movement (Mentioned 2:12:12, Ep 215) Amin Maalouf - The Crusades Through Arab Eyes (Mentioned 4:32, Ep 214) Geoffrey Blainey - The Causes Of War (Mentioned 43:49, Ep 198) Margaret Levi - Of Rule And Revenue (Mentioned 1:11:16, Ep 195) Margaret Levi - Consent, Dissent, and Patriotism (Mentioned 1:11:16, Ep 195) Sayaka Murata - Convenience Store Woman (Mentioned 2:14, Ep 194) Sid Meier - Sid Meier's Memoir! (Mentioned 16:30, Ep 178) David Simon & Ed Burns - The Corner (Mentioned 8:40, Ep 178) Maurice O. Wallace - King's Vibrato (Mentioned 14:26, Ep 164) Edward S. Herman and Noam Chomsky - Manufacturing Consent - (Mentioned 32:12, Ep 164) Robert Plunket - My Search For Warren Harding (Mentioned 1:49:12, Ep 158) Ian Lambot & Greg Girard - City of Darkness Revisited (Mentioned 39:25, Ep 157) Max Chafkin - The Contrarian (Mentioned 32:18, Ep 155) Claire Conner - Wrapped In The Flag (Mentioned 31:42, Ep 155) Rita Abrahamsen, Mike Williams et al - Global Right (Mentioned 31:12, Ep 155) Philip Gorski and Samuel Perry - The Flag And The Cross (Mentioned 30:49, Ep 155) Cynthia Miller-Idriss - Hate In The Homeland (Mentioned 30:10, Ep 155) Cory Doctorow & Rebecca Giblin - Chokepoint Capitalism (Mentioned 34:55, Ep 150) Elizabeth Ingleson - Made In China (Mentioned 31:50, Ep 150) John Corrigan - Religious Intolerance, America, and the World (Mentioned 1:16:18, Ep 141) Gérard Prunier - From Genocide to Continental War (Mentioned 48:18, Ep 141) Liu Cixin, - The Three Body Trilogy (Mentioned 1:11:04, Ep 136) Tilman Allert - The Hitler Salute (Mentioned 22:03, Ep 134) Philip Roth - Nemesis (Mentioned 1:56, Ep 133) Joshua Cohen - The Netanyahus Zeke Faux - Number Go Up Michael Paul Rogin - The Intellectuals and McCarthy Cathy Kramer - The Politics of Resentment Naomi Klein - Doppelganger Maria Bamford - Sure, I'll Join Your Cult Wendy Brown - States Of Injury Corey Robin. - The Reactionary Mind Patricia Lockwood - No One Is Talking About This David Cay Johnston - The Making of Donald Trump Jane Mayer - Dark Money Harry Frankfurt - On Bullshit Stephen King - The Dead Zone Elle Hardy - Beyond Belief Federico Finchelstein - From Fascism to Populism in History Robert Jervis - Why Intelligence Fails Alex Haley and Malcolm X - The Autobiography of Malcolm X Jonathan Haidt - The Righteous Mind David Graeber - Debt: The First 5000 Years Jerry L. Mashaw - Creating The American Administrative Constitution Brian Balogh - A Government Out of Sight Paul Connerton - How Societies Remember Paul Connerton - How Modernity Forgets Catherine Green and Sarah Catherine Gilbert - Vaxxers John Zaller - The Nature and Origins of Mass Opinion Matthew Karp - This Vast Southern Empire Robert Fatton - The Guise of Exceptionalism Anatol Lievin - Climate Change and the Nation State: The Realist Case James Alfred Aho - The Politics of Righteousness The substack that Dr Dave apparently plagiarises liberally from! https://luke.substack.com/ James Beverley - God's Man in the White House Jane Chi Hyun Park - Yellow Future Matthias Gardell - In The Name of Elijah Muhammad Gosta Esping-Andersen - The Three Worlds of Welfare Capitalism Suzanne Mettler - The Submerged State Brendon O'Connor - Anti-Americanism and American Exceptionalism James Morone - Hellfire Nation Nathan Kalmoe - With Ballots and Bullets Winnifred Fallers Sullivan - The Impossibility of Religious Freedom Mary L. Trump - Too Much And Never Enough Richard Cooke - Tired of Winning Jon Ronson - So You've Been Publicly Shamed Rodney Tiffen, Ross Gittins, Anika Gauja, David Smith, Brendon O'Connor - How America Compares Tony Horwitz - Confederates In the Attic Ghassan Hage - White Nation George Lakoff - Women, Fire and Dangerous Things George Lakoff - Metaphors We Live By Michelle Alexander - The New Jim Crow Alex S. Vitale - The End of Policing Dave Cullen - Parkland: Birth of a Movement Thomas Sugrue - The Origins of the Urban Crisis Rick Pearlstein - The Invisible Bridge Rick Pearlstein - Before the Storm Rick Pearlstein - Nixonland Brian Doherty - Radicals for Capitalism Leon Festinger, Henry W. Riecken, Stanley Schachter - When Prophecy Fails Nancy L. Rosenblum & Russell Muirhead - A Lot Of People Are Saying Benjamin Moffitt - The Global Rise of Populism Jon Krakauer - Missoula   THANK YOU FOR YOUR ATTENTION TO THIS MATTER!

Listen Now to 002 WTFuture  Watch 002 WTFuture  On this show we feature a spirited conversation about emerging technologies and scientific discoveries interspersed with metaphysical interpretations. We celebrate the arrival of Joby Aviation’s electric air taxis in the Bay Area, highlighting how these humming bird flying machines will revolutionize urban commuting. We then discuss an analysis of the asteroid Ryugu, noting that the presence of all five nitrogenous bases suggests life’s building blocks may indeed originate in space!  We then go more into esoteric territory as we explore Bobby’s telepathic contact with interstellar object  3I/ATLAS and the potential for real cosmic energy to activate human DNA. For our techie fix, we look how Meta’s smart glasses are getting people embarrassed, and show a video on a wearable exoskeleton designed to enhance physical mobility. We conclude by touching on  Elon Musk’s “Macrohard” (as opposed to ‘Microsoft’) project and its potential to automate ENTIRE organizational structures. Enjoy!!

“The sea is everything. It covers seven tenths of the terrestrial globe. Its breath is pure and healthy. It is an immense desert, where man is never lonely, for he feels life stirring on all sides. The sea is only … VOODOO LOPEZ – NEMO Read More » The post VOODOO LOPEZ – NEMO first appeared on Dogglounge Deep House Radio | Streaming Deep House 24/7.

1 And Jesus went unto mount Olivet.Jesus autem perrexit in montem Oliveti : 2 And early in the morning he came again into the temple, and all the people came to him, and sitting down he taught them.et diluculo iterum venit in templum, et omnis populus venit ad eum, et sedens docebat eos. 3 And the scribes and the Pharisees bring unto him a woman taken in adultery: and they set her in the midst,Adducunt autem scribae et pharisaei mulierem in adulterio deprehensam : et statuerunt eam in medio, 4 And said to him: Master, this woman was even now taken in adultery.et dixerunt ei : Magister, haec mulier modo deprehensa est in adulterio. 5 Now Moses in the law commanded us to stone such a one. But what sayest thou?In lege autem Moyses mandavit nobis hujusmodi lapidare. Tu ergo quid dicis? 6 And this they said tempting him, that they might accuse him. But Jesus bowing himself down, wrote with his finger on the ground.Hoc autem dicebant tentantes eum, ut possent accusare eum. Jesus autem inclinans se deorsum, digito scribebat in terra. 7 When therefore they continued asking him, he lifted up himself, and said to them: He that is without sin among you, let him first cast a stone at her.Cum ergo perseverarent interrogantes eum, erexit se, et dixit eis : Qui sine peccato est vestrum, primus in illam lapidem mittat. 8 And again stooping down, he wrote on the ground.Et iterum se inclinans, scribebat in terra. 9 But they hearing this, went out one by one, beginning at the eldest. And Jesus alone remained, and the woman standing in the midst.Audientes autem unus post unum exibant, incipientes a senioribus : et remansit solus Jesus, et mulier in medio stans. 10 Then Jesus lifting up himself, said to her: Woman, where are they that accused thee? Hath no man condemned thee?Erigens autem se Jesus, dixit ei : Mulier, ubi sunt qui te accusabant? nemo te condemnavit? 11 Who said: No man, Lord. And Jesus said: Neither will I condemn thee. Go, and now sin no more.Quae dixit : Nemo, Domine. Dixit autem Jesus : Nec ego te condemnabo : vade, et jam amplius noli peccare.The guilty woman. Clemency of Our Lord Jesus Christ.

Send a textHoy, en el estreno de la séptima temporada de este podcast, hablaremos de una categoría muy partiuclar de videos: aquellos en los que aparentemente no pasa absolutamente nada, pero que tienen sonidos que relajan a algunas personas. Ese será el punto de partida para hablar de un lugar muy particular, uno que se ha convertido en un cementerio espacial. Support the show

Join Kyle, Nader, Vibhu, and swyx live at NVIDIA GTC next week!Now that AIE Europe tix are ~sold out, our attention turns to Miami and World's Fair!The definitive AI Accelerator chip company has more than 10xed this AI Summer:And is now a $4.4 trillion megacorp… that is somehow still moving like a startup. We are blessed to have a unique relationship with our first ever NVIDIA guests: Kyle Kranen who gave a great inference keynote at the first World's Fair and is one of the leading architects of NVIDIA Dynamo (a Datacenter scale inference framework supporting SGLang, TRT-LLM, vLLM), and Nader Khalil, a friend of swyx from our days in Celo in The Arena, who has been drawing developers at GTC since before they were even a glimmer in the eye of NVIDIA:Nader discusses how NVIDIA Brev has drastically reduced the barriers to entry for developers to get a top of the line GPU up and running, and Kyle explains NVIDIA Dynamo as a data center scale inference engine that optimizes serving by scaling out, leveraging techniques like prefill/decode disaggregation, scheduling, and Kubernetes-based orchestration, framed around cost, latency, and quality tradeoffs. We also dive into Jensen's “SOL” (Speed of Light) first-principles urgency concept, long-context limits and model/hardware co-design, internal model APIs (https://build.nvidia.com), and upcoming Dynamo and agent sessions at GTC.Full Video pod on YouTubeTimestamps00:00 Agent Security Basics00:39 Podcast Welcome and Guests07:19 Acquisition and DevEx Shift13:48 SOL Culture and Dynamo Setup27:38 Why Scale Out Wins29:02 Scale Up Limits Explained30:24 From Laptop to Multi Node33:07 Cost Quality Latency Tradeoffs38:42 Disaggregation Prefill vs Decode41:05 Kubernetes Scaling with Grove43:20 Context Length and Co Design57:34 Security Meets Agents58:01 Agent Permissions Model59:10 Build Nvidia Inference Gateway01:01:52 Hackathons And Autonomy Dreams01:10:26 Local GPUs And Scaling Inference01:15:31 Long Running Agents And SF ReflectionsTranscriptAgent Security BasicsNader: Agents can do three things. They can access your files, they can access the internet, and then now they can write custom code and execute it. You literally only let an agent do two of those three things. If you can access your files and you can write custom code, you don't want internet access because that's one to see full vulnerability, right?If you have access to internet and your file system, you should know the full scope of what that agent's capable of doing. Otherwise, now we can get injected or something that can happen. And so that's a lot of what we've been thinking about is like, you know, how do we both enable this because it's clearly the future.But then also, you know, what, what are these enforcement points that we can start to like protect?swyx: All right.Podcast Welcome and Guestsswyx: Welcome to the Lean Space podcast in the Chromo studio. Welcome to all the guests here. Uh, we are back with our guest host Viu. Welcome. Good to have you back. And our friends, uh, Netter and Kyle from Nvidia. Welcome.Kyle: Yeah, thanks for having us.swyx: Yeah, thank you. Actually, I don't even know your titles.Uh, I know you're like architect something of Dynamo.Kyle: Yeah. I, I'm one of the engineering leaders [00:01:00] and a architects of Dynamo.swyx: And you're director of something and developers, developer tech.Nader: Yeah.swyx: You're the developers, developers, developers guy at nvidia,Nader: open source agent marketing, brev,swyx: and likeNader: Devrel tools and stuff.swyx: Yeah. BeenNader: the focus.swyx: And we're, we're kind of recording this ahead of Nvidia, GTC, which is coming to town, uh, again, uh, or taking over town, uh, which, uh, which we'll all be at. Um, and we'll talk a little bit about your sessions and stuff. Yeah.Nader: We're super excited for it.GTC Booth Stunt Storiesswyx: One of my favorite memories for Nader, like you always do like marketing stunts and like while you were at Rev, you like had this surfboard that you like, went down to GTC with and like, NA Nvidia apparently, like did so much that they bought you.Like what, what was that like? What was that?Nader: Yeah. Yeah, we, we, um. Our logo was a chaka. We, we, uh, we were always just kind of like trying to keep true to who we were. I think, you know, some stuff, startups, you're like trying to pretend that you're a bigger, more mature company than you are. And it was actually Evan Conrad from SF Compute who was just like, you guys are like previousswyx: guest.Yeah.Nader: Amazing. Oh, really? Amazing. Yeah. He was just like, guys, you're two dudes in the room. Why are you [00:02:00] pretending that you're not? Uh, and so then we were like, okay, let's make the logo a shaka. We brought surfboards to our booth to GTC and the energy was great. Yeah. Some palm trees too. They,Kyle: they actually poked out over like the, the walls so you could, you could see the bread booth.Oh, that's so funny. AndNader: no one else,Kyle: just from very far away.Nader: Oh, so you remember it backKyle: then? Yeah I remember it pre-acquisition. I was like, oh, those guys look cool,Nader: dude. That makes sense. ‘cause uh, we, so we signed up really last minute, and so we had the last booth. It was all the way in the corner. And so I was, I was worried that no one was gonna come.So that's why we had like the palm trees. We really came in with the surfboards. We even had one of our investors bring her dog and then she was just like walking the dog around to try to like, bring energy towards our booth. Yeah.swyx: Steph.Kyle: Yeah. Yeah, she's the best,swyx: you know, as a conference organizer, I love that.Right? Like, it's like everyone who sponsors a conference comes, does their booth. They're like, we are changing the future of ai or something, some generic b******t and like, no, like actually try to stand out, make it fun, right? And people still remember it after three years.Nader: Yeah. Yeah. You know what's so funny?I'll, I'll send, I'll give you this clip if you wanna, if you wanna add it [00:03:00] in, but, uh, my wife was at the time fiance, she was in medical school and she came to help us. ‘cause it was like a big moment for us. And so we, we bought this cricket, it's like a vinyl, like a vinyl, uh, printer. ‘cause like, how else are we gonna label the surfboard?So, we got a surfboard, luckily was able to purchase that on the company card. We got a cricket and it was just like fine tuning for enterprises or something like that, that we put on the. On the surfboard and it's 1:00 AM the day before we go to GTC. She's helping me put these like vinyl stickers on.And she goes, you son of, she's like, if you pull this off, you son of a b***h. And so, uh, right. Pretty much after the acquisition, I stitched that with the mag music acquisition. I sent it to our family group chat. Ohswyx: Yeah. No, well, she, she made a good choice there. Was that like basically the origin story for Launchable is that we, it was, and maybe we should explain what Brev is andNader: Yeah.Yeah. Uh, I mean, brev is just, it's a developer tool that makes it really easy to get a GPU. So we connect a bunch of different GPU sources. So the basics of it is like, how quickly can we SSH you into a G, into a GPU and whenever we would talk to users, they wanted A GPU. They wanted an A 100. And if you go to like any cloud [00:04:00] provisioning page, usually it's like three pages of forms or in the forms somewhere there's a dropdown.And in the dropdown there's some weird code that you know to translate to an A 100. And I remember just thinking like. Every time someone says they want an A 100, like the piece of text that they're telling me that they want is like, stuffed away in the corner. Yeah. And so we were like, what if the biggest piece of text was what the user's asking for?And so when you go to Brev, it's just big GPU chips with the type that you want withswyx: beautiful animations that you worked on pre, like pre you can, like, now you can just prompt it. But back in the day. Yeah. Yeah. Those were handcraft, handcrafted artisanal code.Nader: Yeah. I was actually really proud of that because, uh, it was an, i I made it in Figma.Yeah. And then I found, I was like really struggling to figure out how to turn it from like Figma to react. So what it actually is, is just an SVG and I, I have all the styles and so when you change the chip, whether it's like active or not it changes the SVG code and that somehow like renders like, looks like it's animating, but it, we just had the transition slow, but it's just like the, a JavaScript function to change the like underlying SVG.Yeah. And that was how I ended up like figuring out how to move it from from Figma. But yeah, that's Art Artisan. [00:05:00]Kyle: Speaking of marketing stunts though, he actually used those SVGs. Or kind of use those SVGs to make these cards.Nader: Oh yeah. LikeKyle: a GPU gift card Yes. That he handed out everywhere. That was actually my first impression of thatNader: one.Yeah,swyx: yeah, yeah.Nader: Yeah.swyx: I think I still have one of them.Nader: They look great.Kyle: Yeah.Nader: I have a ton of them still actually in our garage, which just, they don't have labels. We should honestly like bring, bring them back. But, um, I found this old printing press here, actually just around the corner on Ven ness. And it's a third generation San Francisco shop.And so I come in an excited startup founder trying to like, and they just have this crazy old machinery and I'm in awe. ‘cause the the whole building is so physical. Like you're seeing these machines, they have like pedals to like move these saws and whatever. I don't know what this machinery is, but I saw all three generations.Like there's like the grandpa, the father and the son, and the son was like, around my age. Well,swyx: it's like a holy, holy trinity.Nader: It's funny because we, so I just took the same SVG and we just like printed it and it's foil printing, so they make a a, a mold. That's like an inverse of like the A 100 and then they put the foil on it [00:06:00] and then they press it into the paper.And I remember once we got them, he was like, Hey, don't forget about us. You know, I guess like early Apple and Cisco's first business cards were all made there. And so he was like, yeah, we, we get like the startup businesses but then as they mature, they kind of go somewhere else. And so I actually, I think we were talking with marketing about like using them for some, we should go back and make some cards.swyx: Yeah, yeah, yeah. You know, I remember, you know, as a very, very small breadth investor, I was like, why are we spending time like, doing these like stunts for GPUs? Like, you know, I think like as a, you know, typical like cloud hard hardware person, you go into an AWS you pick like T five X xl, whatever, and it's just like from a list and you look at the specs like, why animate this GP?And, and I, I do think like it just shows the level of care that goes throughout birth and Yeah. And now, and also the, and,Nader: and Nvidia. I think that's what the, the thing that struck me most when we first came in was like the amount of passion that everyone has. Like, I think, um, you know, you talk to, you talk to Kyle, you talk to, like, every VP that I've met at Nvidia goes so close to the metal.Like, I remember it was almost a year ago, and like my VP asked me, he's like, Hey, [00:07:00] what's cursor? And like, are you using it? And if so, why? Surprised at this, and he downloaded Cursor and he was asking me to help him like, use it. And I thought that was, uh, or like, just show him what he, you know, why we were using it.And so, the amount of care that I think everyone has and the passion, appreciate, passion and appreciation for the moment. Right. This is a very unique time. So it's really cool to see everyone really like, uh, appreciate that.swyx: Yeah.Acquisition and DevEx Shiftswyx: One thing I wanted to do before we move over to sort of like research topics and, uh, the, the stuff that Kyle's working on is just tell the story of the acquisition, right?Like, not many people have been, been through an acquisition with Nvidia. What's it like? Uh, what, yeah, just anything you'd like to say.Nader: It's a crazy experience. I think, uh, you know, we were the thing that was the most exciting for us was. Our goal was just to make it easier for developers.We wanted to find access to GPUs, make it easier to do that. And then all, oh, actually your question about launchable. So launchable was just make one click exper, like one click deploys for any software on top of the GPU. Mm-hmm. And so what we really liked about Nvidia was that it felt like we just got a lot more resources to do all of that.I think, uh, you [00:08:00] know, NVIDIA's goal is to make things as easy for developers as possible. So there was a really nice like synergy there. I think that, you know, when it comes to like an acquisition, I think the amount that the soul of the products align, I think is gonna be. Is going speak to the success of the acquisition.Yeah. And so it in many ways feels like we're home. This is a really great outcome for us. Like we you know, I love brev.nvidia.com. Like you should, you should use it's, it's theKyle: front page for GPUs.Nader: Yeah. Yeah. If you want GP views,Kyle: you go there, getswyx: it there, and it's like internally is growing very quickly.I, I don't remember You said some stats there.Nader: Yeah, yeah, yeah. It's, uh, I, I wish I had the exact numbers, but like internally, externally, it's been growing really quickly. We've been working with a bunch of partners with a bunch of different customers and ISVs, if you have a solution that you want someone that runs on the GPU and you want people to use it quickly, we can bundle it up, uh, in a launchable and make it a one click run.If you're doing things and you want just like a sandbox or something to run on, right. Like open claw. Huge moment. Super exciting. Our, uh, and we'll talk into it more, but. You know, internally, people wanna run this, and you, we know we have to be really careful from the security implications. Do we let this run on the corporate network?Security's guidance was, Hey, [00:09:00] run this on breath, it's in, you know, it's, it's, it's a vm, it's sitting in the cloud, it's off the corporate network. It's isolated. And so that's been our stance internally and externally about how to even run something like open call while we figure out how to run these things securely.But yeah,swyx: I think there's also like, you almost like we're the right team at the right time when Nvidia is starting to invest a lot more in developer experience or whatever you call it. Yeah. Uh, UX or I don't know what you call it, like software. Like obviously NVIDIA is always invested in software, but like, there's like, this is like a different audience.Yeah. It's aNader: widerKyle: developer base.swyx: Yeah. Right.Nader: Yeah. Yeah. You know, it's funny, it's like, it's not, uh,swyx: so like, what, what is it called internally? What, what is this that people should be aware that is going on there?Nader: Uh, what, like developer experienceswyx: or, yeah, yeah. Is it's called just developer experience or is there like a broader strategy hereNader: in Nvidia?Um, Nvidia always wants to make a good developer experience. The thing is and a lot of the technology is just really complicated. Like, it's not, it's uh, you know, I think, um. The thing that's been really growing or the AI's growing is having a huge moment, not [00:10:00] because like, let's say data scientists in 2018, were quiet then and are much louder now.The pie is com, right? There's a whole bunch of new audiences. My mom's wondering what she's doing. My sister's learned, like taught herself how to code. Like the, um, you know, I, I actually think just generally AI's a big equalizer and you're seeing a more like technologically literate society, I guess.Like everyone's, everyone's learning how to code. Uh, there isn't really an excuse for that. And so building a good UX means that you really understand who your end user is. And when your end user becomes such a wide, uh, variety of people, then you have to almost like reinvent the practice, right? Yeah. You haveKyle: to, and actually build more developer ux, right?Because the, there are tiers of developer base that were added. You know, the, the hackers that are building on top of open claw, right? For example, have never used gpu. They don't know what kuda is. They, they, they just want to run something.Nader: Yeah.Kyle: You need new UX that is not just. Hey, you know, how do you program something in Cuda and run it?And then, and then we built, you know, like when Deep Learning was getting big, we built, we built Torch and, and, but so recently the amount of like [00:11:00] layers that are added to that developer stack has just exploded because AI has become ubiquitous. Everyone's using it in different ways. Yeah. It'sNader: moving fast in every direction.Vertical, horizontal.Vibhu: Yeah. You guys, you even take it down to hardware, like the DGX Spark, you know, it's, it's basically the same system as just throwing it up on big GPU cluster.Nader: Yeah, yeah, yeah. It's amazing. Blackwell.swyx: Yeah. Uh, we saw the preview at the last year's GTC and that was one of the better performing, uh, videos so far, and video coverage so far.Awesome. This will beat it. Um,Nader: that wasswyx: actually, we have fingersNader: crossed. Yeah.DGX Spark and Remote AccessNader: Even when Grace Blackwell or when, um, uh, DGX Spark was first coming out getting to be involved in that from the beginning of the developer experience. And it just comes back to what youswyx: were involved.Nader: Yeah. St. St.swyx: Mars.Nader: Yeah. Yeah. I mean from, it was just like, I, I got an email, we just got thrown into the loop and suddenly yeah, I, it was actually really funny ‘cause I'm still pretty fresh from the acquisition and I'm, I'm getting an email from a bunch of the engineering VPs about like, the new hardware, GPU chip, like we're, or not chip, but just GPU system that we're putting out.And I'm like, okay, cool. Matters. Now involved with this for the ux, I'm like. What am I gonna do [00:12:00] here? So, I remember the first meeting, I was just like kind of quiet as I was hearing engineering VPs talk about what this box could be, what it could do, how we should use it. And I remember, uh, one of the first ideas that people were idea was like, oh, the first thing that it was like, I think a quote was like, the first thing someone's gonna wanna do with this is get two of them and run a Kubernetes cluster on top of them.And I was like, oh, I think I know why I'm here. I was like, the first thing we're doing is easy. SSH into the machine. And then, and you know, just kind of like scoping it down of like, once you can do that every, you, like the person who wants to run a Kubernetes cluster onto Sparks has a higher propensity for pain, then, then you know someone who buys it and wants to run open Claw right now, right?If you can make sure that that's as effortless as possible, then the rest becomes easy. So there's a tool called Nvidia Sync. It just makes the SSH connection really simple. So, you know, if you think about it like. If you have a Mac, uh, or a PC or whatever, if you have a laptop and you buy this GPU and you want to use it, you should be able to use it like it's A-A-G-P-U in the cloud, right?Um, but there's all this friction of like, how do you actually get into that? That's part of [00:13:00] Revs value proposition is just, you know, there's a CLI that wraps SSH and makes it simple. And so our goal is just get you into that machine really easily. And one thing we just launched at CES, it's in, it's still in like early access.We're ironing out some kinks, but it should be ready by GTC. You can register your spark on Brev. And so now if youswyx: like remote managed yeah, local hardware. Single pane of glass. Yeah. Yeah. Because Brev can already manage other clouds anyway, right?Vibhu: Yeah, yeah. And you use the spark on Brev as well, right?Nader: Yeah. But yeah, exactly. So, so you, you, so you, you set it up at home you can run the command on it, and then it gets it's essentially it'll appear in your Brev account, and then you can take your laptop to a Starbucks or to a cafe, and you'll continue to use your, you can continue use your spark just like any other cloud node on Brev.Yeah. Yeah. And it's just like a pre-provisioned centerswyx: in yourNader: home. Yeah, exactly.swyx: Yeah. Yeah.Vibhu: Tiny little data center.Nader: Tiny little, the size ofVibhu: your phone.SOL Culture and Dynamo Setupswyx: One more thing before we move on to Kyle. Just have so many Jensen stories and I just love, love mining Jensen stories. Uh, my favorite so far is SOL. Uh, what is, yeah, what is S-O-L-S-O-LNader: is actually, i, I think [00:14:00] of all the lessons I've learned, that one's definitely my favorite.Kyle: It'll always stick with you.Nader: Yeah. Yeah. I, you know, in your startup, everything's existential, right? Like we've, we've run out of money. We were like, on the risk of, of losing payroll, we've had to contract our team because we l ran outta money. And so like, um, because of that you're really always forcing yourself to I to like understand the root cause of everything.If you get a date, if you get a timeline, you know exactly why that date or timeline is there. You're, you're pushing every boundary and like, you're not just say, you're not just accepting like a, a no. Just because. And so as you start to introduce more layers, as you start to become a much larger organization, SOL is is essentially like what is the physics, right?The speed of light moves at a certain speed. So if flight's moving some slower, then you know something's in the way. So before trying to like layer reality back in of like, why can't this be delivered at some date? Let's just understand the physics. What is the theoretical limit to like, uh, how fast this can go?And then start to tell me why. ‘cause otherwise people will start telling you why something can't be done. But actually I think any great leader's goal is just to create urgency. Yeah. [00:15:00] There's an infiniteKyle: create compelling events, right?Nader: Yeah.Kyle: Yeah. So l is a term video is used to instigate a compelling event.You say this is done. How do we get there? What is the minimum? As much as necessary, as little as possible thing that it takes for us to get exactly here and. It helps you just break through a bunch of noise.swyx: Yeah.Kyle: Instantly.swyx: One thing I'm unclear about is, can only Jensen use the SOL card? Like, oh, no, no, no.Not everyone get the b******t out because obviously it's Jensen, but like, can someone else be like, no, likeKyle: frontline engineers use it.Nader: Yeah. Every, I think it's not so much about like, get the b******t out. It's like, it's like, give me the root understanding, right? Like, if you tell me something takes three weeks, it like, well, what's the first principles?Yeah, the first principles. It's like, what's the, what? Like why is it three weeks? What is the actual yeah. What's the actual limit of why this is gonna take three weeks? If you're gonna, if you, if let's say you wanted to buy a new computer and someone told you it's gonna be here in five days, what's the SOL?Well, like the SOL is like, I could walk into a Best Buy and pick it up for you. Right? So then anything that's like beyond that is, and is that practical? Is that how we're gonna, you know, let's say give everyone in the [00:16:00] company a laptop, like obviously not. So then like that's the SOL and then it's like, okay, well if we have to get more than 10, suddenly there might be some, right?And so now we can kind of piece the reality back.swyx: So, so this is the. Paul Graham do things that don't scale. Yeah. And this is also the, what people would now call behi agency. Yeah.Kyle: It's actually really interesting because there's a, there's a second hardware angle to SOL that like doesn't come up for all the org sol is used like culturally at aswyx: media for everything.I'm also mining for like, I think that can be annoying sometimes. And like someone keeps going IOO you and you're like, guys, like we have to be stable. We have to, we to f*****g plan. Yeah.Kyle: It's an interesting balance.Nader: Yeah. I encounter that with like, actually just with, with Alec, right? ‘cause we, we have a new conference so we need to launch, we have, we have goals of what we wanna launch by, uh, by the conference and like, yeah.At the end of the day, where isswyx: this GTC?Nader: Um, well this is like, so we, I mean we did it for CES, we did for GT CDC before that we're doing it for GTC San Jose. So I mean, like every, you know, we have a new moment. Um, and we want to launch something. Yeah. And we want to do so at SOL and that does mean that some, there's some level of prioritization that needs [00:17:00] to happen.And so it, it is difficult, right? I think, um, you have to be careful with what you're pushing. You know, stability is important and that should be factored into S-O-L-S-O-L isn't just like, build everything and let it break, you know, that, that's part of the conversation. So as you're laying, layering in all the details, one of them might be, Hey, we could build this, but then it's not gonna be stable for X, y, z reasons.And so that was like, one of our conversations for CES was, you know, hey, like we, we can get this into early access registering your spark with brev. But there are a lot of things that we need to do in order to feel really comfortable from a security perspective, right? There's a lot of networking involved before we deliver that to users.So it's like, okay. Let's get this to a point where we can at least let people experiment with it. We had it in a booth, we had it in Jensen's keynote, and then let's go iron out all the networking kinks. And that's not easy. And so, uh, that can come later. And so that was the way that we layered that back in.Yeah. ButKyle: It's not really about saying like, you don't have to do the, the maintenance or operational work. It's more about saying, you know, it's kind of like [00:18:00] highlights how progress is incremental, right? Like, what is the minimum thing that we can get to. And then there's SOL for like every component after that.But there's the SOL to get you, get you to the, the starting line. And that, that's usually how it's asked. Yeah. On the other side, you know, like SOL came out of like hardware at Nvidia. Right. So SOL is like literally if we ran the accelerator or the GPU with like at basically full speed with like no other constraints, like how FAST would be able to make a program go.swyx: Yeah. Yeah. Right.Kyle: Soswyx: in, in training that like, you know, then you work back to like some percentage of like MFU for example.Kyle: Yeah, that's a, that's a great example. So like, there's an, there's an S-O-L-M-F-U, and then there's like, you know, what's practically achievable.swyx: Cool. Should we move on to sort of, uh, Kyle's side?Uh, Kyle, you're coming more from the data science world. And, uh, I, I mean I always, whenever, whenever I meet someone who's done working in tabular stuff, graph neural networks, time series, these are basically when I go to new reps, I go to ICML, I walk the back halls. There's always like a small group of graph people.Yes. Absolute small group of tabular people. [00:19:00] And like, there's no one there. And like, it's very like, you know what I mean? Like, yeah, no, like it's, it's important interesting work if you care about solving the problems that they solve.Kyle: Yeah.swyx: But everyone else is just LMS all the time.Kyle: Yeah. I mean it's like, it's like the black hole, right?Has the event horizon reached this yet in nerves? Um,swyx: but like, you know, those are, those are transformers too. Yeah. And, and those are also like interesting things. Anyway, uh, I just wanted to spend a little bit of time on, on those, that background before we go into Dynamo, uh, proper.Kyle: Yeah, sure. I took a different path to Nvidia than that, or I joined six years ago, seven, if you count, when I was an intern.So I joined Nvidia, like right outta college. And the first thing I jumped into was not what I'd done in, during internship, which was like, you know, like some stuff for autonomous vehicles, like heavyweight object detection. I jumped into like, you know, something, I'm like, recommenders, this is popular. Andswyx: yeah, he did RexiKyle: as well.Yeah, Rexi. Yeah. I mean that, that was the taboo data at the time, right? You have tables of like, audience qualities and item qualities, and you're trying to figure out like which member of [00:20:00] the audience matches which item or, or more practically which item matches which member of the audience. And at the time, really it was like we were trying to enable.Uh, recommender, which had historically been like a little bit of a CP based workflow into something that like, ran really well in GPUs. And it's since been done. Like there are a bunch of libraries for Axis that run on GPUs. Uh, the common models like Deeplearning recommendation model, which came outta meta and the wide and deep model, which was used or was released by Google were very accelerated by GPUs using, you know, the fast HBM on the chips, especially to do, you know, vector lookups.But it was very interesting at the time and super, super relevant because like we were starting to get like. This explosion of feeds and things that required rec recommenders to just actively be on all the time. And sort of transitioned that a little bit towards graph neural networks when I discovered them because I was like, okay, you can actually use graphical neural networks to represent like, relationships between people, items, concepts, and that, that interested me.So I jumped into that at [00:21:00] Nvidia and, and got really involved for like two-ish years.swyx: Yeah. Uh, and something I learned from Brian Zaro Yeah. Is that you can just kind of choose your own path in Nvidia.Kyle: Oh my God. Yeah.swyx: Which is not a normal big Corp thing. Yeah. Like you, you have a lane, you stay in your lane.Nader: I think probably the reason why I enjoy being in a, a big company, the mission is the boss probably from a startup guy. Yeah. The missionswyx: is the boss.Nader: Yeah. Uh, it feels like a big game of pickup basketball. Like, you know, if you play one, if you wanna play basketball, you just go up to the court and you're like, Hey look, we're gonna play this game and we need three.Yeah. And you just like find your three. That's honestly for every new initiative that's what it feels like. Yeah.Vibhu: It also like shows, right? Like Nvidia. Just releasing state-of-the-art stuff in every domain. Yeah. Like, okay, you expect foundation models with Nemo tron voice just randomly parakeet.Call parakeet just comes out another one, uh, voice. TheKyle: video voice team has always been producing.Vibhu: Yeah. There's always just every other domain of paper that comes out, dataset that comes out. It's like, I mean, it also stems back to what Nvidia has to do, right? You have to make chips years before they're actually produced.Right? So you need to know, you need to really [00:22:00] focus. TheKyle: design process starts likeVibhu: exactlyKyle: three to five years before the chip gets to the market.Vibhu: Yeah. I, I'm curious more about what that's like, right? So like, you have specialist teams. Is it just like, you know, people find an interest, you go in, you go deep on whatever, and that kind of feeds back into, you know, okay, we, we expect predictions.Like the internals at Nvidia must be crazy. Right? You know? Yeah. Yeah. You know, you, you must. Not even without selling to people, you have your own predictions of where things are going. Yeah. And they're very based, very grounded. Right?Kyle: Yeah. It, it, it's really interesting. So there's like two things that I think that Amed does, which are quite interesting.Uh, one is like, we really index into passion. There's a big. Sort of organizational top sound push to like ensure that people are working on the things that they're passionate about. So if someone proposes something that's interesting, many times they can just email someone like way up the chain that they would find this relevant and say like, Hey, can I go work on this?Nader: It's actually like I worked at a, a big company for a couple years before, uh, starting on my startup journey and like, it felt very weird if you were to like email out of chain, if that makes [00:23:00] sense. Yeah. The emails at Nvidia are like mosh pitsswyx: shoot,Nader: and it's just like 60 people, just whatever. And like they're, there's this,swyx: they got messy like, reply all you,Nader: oh, it's in, it's insane.It's insane. They justKyle: help. You know, Maxim,Nader: the context. But, but that's actually like, I've actually, so this is a weird thing where I used to be like, why would we send emails? We have Slack. I am the entire, I'm the exact opposite. I feel so bad for anyone who's like messaging me on Slack ‘cause I'm so unresponsive.swyx: Your emailNader: Maxi, email Maxim. I'm email maxing Now email is a different, email is perfect because man, we can't work together. I'm email is great, right? Because important threads get bumped back up, right? Yeah, yeah. Um, and so Slack doesn't do that. So I just have like this casino going off on the right or on the left and like, I don't know which thread was from where or what, but like the threads get And then also just like the subject, so you can have like working threads.I think what's difficult is like when you're small, if you're just not 40,000 people I think Slack will work fine, but there's, I don't know what the inflection point is. There is gonna be a point where that becomes really messy and you'll actually prefer having email. ‘cause you can have working threads.You can cc more than nine people in a thread.Kyle: You can fork stuff.Nader: You can [00:24:00] fork stuff, which is super nice and just like y Yeah. And so, but that is part of where you can propose a plan. You can also just. Start, honestly, momentum's the only authority, right? So like, if you can just start, start to make a little bit of progress and show someone something, and then they can try it.That's, I think what's been, you know, I think the most effective way to push anything for forward. And that's both at Nvidia and I think just generally.Kyle: Yeah, there's, there's the other concept that like is explored a lot at Nvidia, which is this idea of a zero billion dollar business. Like market creation is a big thing at Nvidia.Like,swyx: oh, you want to go and start a zero billion dollar business?Kyle: Jensen says, we are completely happy investing in zero billion dollar markets. We don't care if this creates revenue. It's important for us to know about this market. We think it will be important in the future. It can be zero billion dollars for a while.I'm probably minging as words here for, but like, you know, like, I'll give an example. NVIDIA's been working on autonomous driving for a a long time,swyx: like an Nvidia car.Kyle: No, they, they'veVibhu: used the Mercedes, right? They're around the HQ and I think it finally just got licensed out. Now they're starting to be used quite a [00:25:00] bit.For 10 years you've been seeing Mercedes with Nvidia logos driving.Kyle: If you're in like the South San Santa Clara, it's, it's actually from South. Yeah. So, um. Zero billion dollar markets are, are a thing like, you know, Jensen,swyx: I mean, okay, look, cars are not a zero billion dollar market. But yeah, that's a bad example.Nader: I think, I think he's, he's messaging, uh, zero today, but, or even like internally, right? Like, like it's like, uh, an org doesn't have to ruthlessly find revenue very quickly to justify their existence. Right. Like a lot of the important research, a lot of the important technology being developed that, that's kind ofKyle: where research, research is very ide ideologically free at Nvidia.Yeah. Like they can pursue things that they wereswyx: Were you research officially?Kyle: I was never in research. Officially. I was always in engineering. Yeah. We in, I'm in an org called Deep Warning Algorithms, which is basically just how do we make things that are relevant to deep warning go fast.swyx: That sounds freaking cool.Vibhu: And I think a lot of that is underappreciated, right? Like time series. This week Google put out time. FF paper. Yeah. A new time series, paper res. Uh, Symantec, ID [00:26:00] started applying Transformers LMS to Yes. Rec system. Yes. And when you think the scale of companies deploying these right. Amazon recommendations, Google web search, it's like, it's huge scale andKyle: Yeah.Vibhu: You want fast?Kyle: Yeah. Yeah. Yeah. Actually it's, it, I, there's a fun moment that brought me like full circle. Like, uh, Amazon Ads recently gave a talk where they talked about using Dynamo for generative recommendation, which was like super, like weirdly cathartic for me. I'm like, oh my God. I've, I've supplanted what I was working on.Like, I, you're using LMS now to do what I was doing five years ago.swyx: Yeah. Amazing. And let's go right into Dynamo. Uh, maybe introduce Yeah, sure. To the top down and Yeah.Kyle: I think at this point a lot of people are familiar with the term of inference. Like funnily enough, like I went from, you know, inference being like a really niche topic to being something that's like discussed on like normal people's Twitter feeds.It's,Nader: it's on billboardsKyle: here now. Yeah. Very, very strange. Driving, driving, seeing just an inference ad on 1 0 1 inference at scale is becoming a lot more important. Uh, we have these moments like, you know, open claw where you have these [00:27:00] agents that take lots and lots of tokens, but produce, incredible results.There are many different aspects of test time scaling so that, you know, you can use more inference to generate a better result than if you were to use like a short amount of inference. There's reasoning, there's quiring, there's, adding agency to the model, allowing it to call tools and use skills.Dyno sort came about at Nvidia. Because myself and a couple others were, were sort of talking about the, these concepts that like, you know, you have inference engines like VLMS, shelan, tenor, TLM and they have like one single copy. They, they, they sort of think about like things as like one single copy, like one replica, right?Why Scale Out WinsKyle: Like one version of the model. But when you're actually serving things at scale, you can't just scale up that replica because you end up with like performance problems. There's a scaling limit to scaling up replicas. So you actually have to scale out to use a, maybe some Kubernetes type terminology.We kind of realized that there was like. A lot of potential optimization that we could do in scaling out and building systems for data [00:28:00] center scale inference. So Dynamo is this data center scale inference engine that sits on top of the frameworks like VLM Shilling and 10 T lm and just makes things go faster because you can leverage the economy of scale.The fact that you have KV cash, which we can define a little bit later, uh, in all these machines that is like unique and you wanna figure out like the ways to maximize your cash hits or you want to employ new techniques in inference like disaggregation, which Dynamo had introduced to the world in, in, in March, not introduced, it was a academic talk, but beforehand.But we are, you know, one of the first frameworks to start, supporting it. And we wanna like, sort of combine all these techniques into sort of a modular framework that allows you to. Accelerate your inference at scale.Nader: By the way, Kyle and I became friends on my first date, Nvidia, and I always loved, ‘cause like he always teaches meswyx: new things.Yeah. By the way, this is why I wanted to put two of you together. I was like, yeah, this is, this is gonna beKyle: good. It's very, it's very different, you know, like we've, we, we've, we've talked to each other a bunch [00:29:00] actually, you asked like, why, why can't we scale up?Nader: Yeah.Scale Up Limits ExplainedNader: model, you said model replicas.Kyle: Yeah. So you, so scale up means assigning moreswyx: heavier?Kyle: Yeah, heavier. Like making things heavier. Yeah, adding more GPUs. Adding more CPUs. Scale out is just like having a barrier saying, I'm gonna duplicate my representation of the model or a representation of this microservice or something, and I'm gonna like, replicate it Many times.Handle, load. And the reason that you can't scale, scale up, uh, past some points is like, you know, there, there, there are sort of hardware bounds and algorithmic bounds on, on that type of scaling. So I'll give you a good example that's like very trivial. Let's say you're on an H 100. The Maxim ENV link domain for H 100, for most Ds H one hundreds is heus, right?So if you scaled up past that, you're gonna have to figure out ways to handle the fact that now for the GPUs to communicate, you have to do it over Infin band, which is still very fast, but is not as fast as ENV link.swyx: Is it like one order of magnitude, like hundreds or,Kyle: it's about an order of magnitude?Yeah. Okay. Um, soswyx: not terrible.Kyle: [00:30:00] Yeah. I, I need to, I need to remember the, the data sheet here, like, I think it's like about 500 gigabytes. Uh, a second unidirectional for ENV link, and about 50 gigabytes a second unidirectional for Infin Band. I, it, it depends on the, the generation.swyx: I just wanna set this up for people who are not familiar with these kinds of like layers and the trash speedVibhu: and all that.Of course.From Laptop to Multi NodeVibhu: Also, maybe even just going like a few steps back before that, like most people are very familiar with. You see a, you know, you can use on your laptop, whatever these steel viol, lm you can just run inference there. All, there's all, you can, youcan run it on thatVibhu: laptop. You can run on laptop.Then you get to, okay, uh, models got pretty big, right? JLM five, they doubled the size, so mm-hmm. Uh, what do you do when you have to go from, okay, I can get 128 gigs of memory. I can run it on a spark. Then you have to go multi GPU. Yeah. Okay. Multi GPU, there's some support there. Now, if I'm a company and I don't have like.I'm not hiring the best researchers for this. Right. But I need to go [00:31:00] multi-node, right? I have a lot of servers. Okay, now there's efficiency problems, right? You can have multiple eight H 100 nodes, but, you know, is that as a, like, how do you do that efficiently?Kyle: Yeah. How do you like represent them? How do you choose how to represent the model?Yeah, exactly right. That's a, that's like a hard question. Everyone asks, how do you size oh, I wanna run GLM five, which just came out new model. There have been like four of them in the past week, by the way, like a bunch of new models.swyx: You know why? Right? Deep seek.Kyle: No comment. Oh. Yeah, but Ggl, LM five, right?We, we have this, new model. It's, it's like a large size, and you have to figure out how to both scale up and scale out, right? Because you have to find the right representation that you care about. Everyone does this differently. Let's be very clear. Everyone figures this out in their own path.Nader: I feel like a lot of AI or ML even is like, is like this. I think people think, you know, I, I was, there was some tweet a few months ago that was like, why hasn't fine tuning as a service taken off? You know, that might be me. It might have been you. Yeah. But people want it to be such an easy recipe to follow.But even like if you look at an ML model and specificKyle: to you Yeah,Nader: yeah.Kyle: And the [00:32:00] model,Nader: the situation, and there's just so much tinkering, right? Like when you see a model that has however many experts in the ME model, it's like, why that many experts? I don't, they, you know, they tried a bunch of things and that one seemed to do better.I think when it comes to how you're serving inference, you know, you have a bunch of decisions to make and there you can always argue that you can take something and make it more optimal. But I think it's this internal calibration and appetite for continued calibration.Vibhu: Yeah. And that doesn't mean like, you know, people aren't taking a shot at this, like tinker from thinking machines, you know?Yeah. RL as a service. Yeah, totally. It's, it also gets even harder when you try to do big model training, right? We're not the best at training Moes, uh, when they're pre-trained. Like we saw this with LAMA three, right? They're trained in such a sparse way that meta knows there's gonna be a bunch of inference done on these, right?They'll open source it, but it's very trained for what meta infrastructure wants, right? They wanna, they wanna inference it a lot. Now the question to basically think about is, okay, say you wanna serve a chat application, a coding copilot, right? You're doing a layer of rl, you're serving a model for X amount of people.Is it a chat model, a coding model? Dynamo, you know, back to that,Kyle: it's [00:33:00] like, yeah, sorry. So you we, we sort of like jumped off of, you know, jumped, uh, on that topic. Everyone has like, their own, own journey.Cost Quality Latency TradeoffsKyle: And I, I like to think of it as defined by like, what is the model you need? What is the accuracy you need?Actually I talked to NA about this earlier. There's three axes you care about. What is the quality that you're able to produce? So like, are you accurate enough or can you complete the task with enough, performance, high enough performance. Yeah, yeah. Uh, there's cost. Can you serve the model or serve your workflow?Because it's not just the model anymore, it's the workflow. It's the multi turn with an agent cheaply enough. And then can you serve it fast enough? And we're seeing all three of these, like, play out, like we saw, we saw new models from OpenAI that you know, are faster. You have like these new fast versions of models.You can change the amount of thinking to change the amount of quality, right? Produce more tokens, but at a higher cost in a, in a higher latency. And really like when you start this journey of like trying to figure out how you wanna host a model, you, you, you think about three things. What is the model I need to serve?How many times do I need to call it? What is the input sequence link was [00:34:00] the, what does the workflow look like on top of it? What is the SLA, what is the latency SLA that I need to achieve? Because there's usually some, this is usually like a constant, you, you know, the SLA that you need to hit and then like you try and find the lowest cost version that hits all of these constraints.Usually, you know, you, you start with those things and you say you, you kind of do like a bit of experimentation across some common configurations. You change the tensor parallel size, which is a form of parallelismVibhu: I take, it goes even deeper first. Gotta think what model.Kyle: Yes, course,ofKyle: course. It's like, it's like a multi-step design process because as you said, you can, you can choose a smaller model and then do more test time scaling and it'll equate the quality of a larger model because you're doing the test time scaling or you're adding a harness or something.So yes, it, it goes way deeper than that. But from the performance perspective, like once you get to the model you need, you need to host, you look at that and you say, Hey. I have this model, I need to serve it at the speed. What is the right configuration for that?Nader: You guys see the recent, uh, there was a paper I just saw like a few days ago that, uh, if you run [00:35:00] the same prompt twice, you're getting like double Just try itagain.Nader: Yeah, exactly.Vibhu: And you get a lot. Yeah. But the, the key thing there is you give the context of the failed try, right? Yeah. So it takes a shot. And this has been like, you know, basic guidance for quite a while. Just try again. ‘cause you know, trying, just try again. Did you try again? All adviceNader: in life.Vibhu: Just, it's a paper from Google, if I'm not mistaken, right?Yeah,Vibhu: yeah. I think it, it's like a seven bas little short paper. Yeah. Yeah. The title's very cute. And it's just like, yeah, just try again. Give it ask context,Kyle: multi-shot. You just like, say like, hey, like, you know, like take, take a little bit more, take a little bit more information, try and fail. Fail.Vibhu: And that basic concept has gone pretty deep.There's like, um, self distillation, rl where you, you do self distillation, you do rl and you have past failure and you know, that gives some signal so people take, try it again. Not strong enough.swyx: Uh, for, for listeners, uh, who listen to here, uh, vivo actually, and I, and we run a second YouTube channel for our paper club where, oh, that's awesome.Vivo just covered this. Yeah. Awesome. Self desolation and all that's, that's why he, to speed [00:36:00] on it.Nader: I'll to check it out.swyx: Yeah. It, it's just a good practice, like everyone needs, like a paper club where like you just read papers together and the social pressure just kind of forces you to just,Nader: we, we,there'sNader: like a big inference.Kyle: ReadingNader: group at a video. I feel so bad every time. I I, he put it on like, on our, he shared it.swyx: One, one ofNader: your guys,swyx: uh, is, is big in that, I forget es han Yeah, yeah,Kyle: es Han's on my team. Actually. Funny. There's a, there's a, there's a employee transfer between us. Han worked for Nater at Brev, and now he, he's on my team.He wasNader: our head of ai. And then, yeah, once we got in, andswyx: because I'm always looking for like, okay, can, can I start at another podcast that only does that thing? Yeah. And, uh, Esan was like, I was trying to like nudge Esan into like, is there something here? I mean, I don't think there's, there's new infant techniques every day.So it's like, it's likeKyle: you would, you would actually be surprised, um, the amount of blog posts you see. And ifswyx: there's a period where it was like, Medusa hydra, what Eagle, like, youKyle: know, now we have new forms of decode, uh, we have new forms of specula, of decoding or new,swyx: what,Kyle: what are youVibhu: excited? And it's exciting when you guys put out something like Tron.‘cause I remember the paper on this Tron three, [00:37:00] uh, the amount of like post train, the on tokens that the GPU rich can just train on. And it, it was a hybrid state space model, right? Yeah.Kyle: It's co-designed for the hardware.Vibhu: Yeah, go design for the hardware. And one of the things was always, you know, the state space models don't scale as well when you do a conversion or whatever the performance.And you guys are like, no, just keep draining. And Nitron shows a lot of that. Yeah.Nader: Also, something cool about Nitron it was released in layers, if you will, very similar to Dynamo. It's, it's, it's essentially it was released as you can, the pre-training, post-training data sets are released. Yeah. The recipes on how to do it are released.The model itself is released. It's full model. You just benefit from us turning on the GPUs. But there are companies like, uh, ServiceNow took the dataset and they trained their own model and we were super excited and like, you know, celebrated that work.ZoomVibhu: different. Zoom is, zoom is CGI, I think, uh, you know, also just to add like a lot of models don't put out based models and if there's that, why is fine tuning not taken off?You know, you can do your own training. Yeah,Kyle: sure.Vibhu: You guys put out based model, I think you put out everything.Nader: I believe I know [00:38:00]swyx: about base. BasicallyVibhu: without baseswyx: basic can be cancelable.Vibhu: Yeah. Base can be cancelable.swyx: Yeah.Vibhu: Safety training.swyx: Did we get a full picture of dymo? I, I don't know if we, what,Nader: what I'd love is you, you mentioned the three axes like break it down of like, you know, what's prefilled decode and like what are the optimizations that we can get with Dynamo?Kyle: Yeah. That, that's, that's, that's a great point. So to summarize on that three axis problem, right, there are three things that determine whether or not something can be done with inference, cost, quality, latency, right? Dynamo is supposed to be there to provide you like the runtime that allows you to pull levers to, you know, mix it up and move around the parade of frontier or the preto surface that determines is this actually possible with inference And AI todayNader: gives you the knobs.Kyle: Yeah, exactly. It gives you the knobs.Disaggregation Prefill vs DecodeKyle: Uh, and one thing that like we, we use a lot in contemporary inference and is, you know, starting to like pick up from, you know, in, in general knowledge is this co concept of disaggregation. So historically. Models would be hosted with a single inference engine. And that inference engine [00:39:00] would ping pong between two phases.There's prefill where you're reading the sequence generating KV cache, which is basically just a set of vectors that represent the sequence. And then using that KV cache to generate new tokens, which is called Decode. And some brilliant researchers across multiple different papers essentially made the realization that if you separate these two phases, you actually gain some benefits.Those benefits are basically a you don't have to worry about step synchronous scheduling. So the way that an inference engine works is you do one step and then you finish it, and then you schedule, you start scheduling the next step there. It's not like fully asynchronous. And the problem with that is you would have, uh, essentially pre-fill and decode are, are actually very different in terms of both their resource requirements and their sometimes their runtime.So you would have like prefill that would like block decode steps because you, you'd still be pre-filing and you couldn't schedule because you know the step has to end. So you remove that scheduling issue and then you also allow you, or you yourself, to like [00:40:00] split the work into two different ki types of pools.So pre-fill typically, and, and this changes as, as model architecture changes. Pre-fill is, right now, compute bound most of the time with the sequence is sufficiently long. It's compute bound. On the decode side because you're doing a full Passover, all the weights and the entire sequence, every time you do a decode step and you're, you don't have the quadratic computation of KV cache, it's usually memory bound because you're retrieving a linear amount of memory and you're doing a linear amount of compute as opposed to prefill where you retrieve a linear amount of memory and then use a quadratic.You know,Nader: it's funny, someone exo Labs did a really cool demo where for the DGX Spark, which has a lot more compute, you can do the pre the compute hungry prefill on a DG X spark and then do the decode on a, on a Mac. Yeah. And soVibhu: that's faster.Nader: Yeah. Yeah.Kyle: So you could, you can do that. You can do machine strat stratification.Nader: Yeah.Kyle: And like with our future generation generations of hardware, we actually announced, like with Reuben, this [00:41:00] new accelerator that is prefilled specific. It's called Reuben, CPX. SoKubernetes Scaling with GroveNader: I have a question when you do the scale out. Yeah. Is scaling out easier with Dynamo? Because when you need a new node, you can dedicate it to either the Prefill or, uh, decode.Kyle: Yeah. So Dynamo actually has like a, a Kubernetes component in it called Grove that allows you to, to do this like crazy scaling specialization. It has like this hot, it's a representation that, I don't wanna go too deep into Kubernetes here, but there was a previous way that you would like launch multi-node work.Uh, it's called Leader Worker Set. It's in the Kubernetes standard, and Leader worker set is great. It served a lot of people super well for a long period of time. But one of the things that it's struggles with is representing a set of cases where you have a multi-node replica that has a pair, right?You know, prefill and decode, or it's not paired, but it has like a second stage that has a ratio that changes over time. And prefill and decode are like two different things as your workload changes, right? The amount of prefill you'll need to do may change. [00:42:00] The amount of decode that you, you'll need to do might change, right?Like, let's say you start getting like insanely long queries, right? That probably means that your prefill scales like harder because you're hitting these, this quadratic scaling growth.swyx: Yeah.And then for listeners, like prefill will be long input. Decode would be long output, for example, right?Kyle: Yeah. So like decode, decode scale. I mean, decode is funny because the amount of tokens that you produce scales with the output length, but the amount of work that you do per step scales with the amount of tokens in the context.swyx: Yes.Kyle: So both scales with the input and the output.swyx: That's true.Kyle: But on the pre-fold view code side, like if.Suddenly, like the amount of work you're doing on the decode side stays about the same or like scales a little bit, and then the prefilled side like jumps up a lot. You actually don't want that ratio to be the same. You want it to change over time. So Dynamo has a set of components that A, tell you how to scale.It tells you how many prefilled workers and decoded workers you, it thinks you should have, and also provides a scheduling API for Kubernetes that allows you to actually represent and affect this scheduling on, on, on your actual [00:43:00] hardware, on your compute infrastructure.Nader: Not gonna lie. I feel a little embarrassed for being proud of my SVG function earlier.swyx: No, itNader: wasreallyKyle: cute. I, Iswyx: likeNader: it's all,swyx: it's all engineering. It's all engineering. Um, that's where I'mKyle: technical.swyx: One thing I'm, I'm kind of just curious about with all with you see at a systems level, everything going on here. Mm-hmm. And we, you know, we're scaling it up in, in multi, in distributed systems.Context Length and Co Designswyx: Um, I think one thing that's like kind of, of the moment right now is people are asking, is there any SOL sort of upper bounds. In terms of like, let's call, just call it context length for one for of a better word, but you can break it down however you like.Nader: Yeah.swyx: I just think like, well, yeah, I mean, like clearly you can engage in hybrid architectures and throw in some state space models in there.All, all you want, but it looks, still looks very attention heavy.Kyle: Yes. Uh, yeah. Long context is attention heavy. I mean, we have these hybrid models, um,swyx: to take and most, most models like cap out at a million contexts and that's it. Yeah. Like for the last two years has been it.Kyle: Yeah. The model hardware context co-design thing that we're seeing these days is actually super [00:44:00] interesting.It's like my, my passion, like my secret side passion. We see models like Kimmy or G-P-T-O-S-S. I'm use these because I, I know specific things about these models. So Kimmy two comes out, right? And it's an interesting model. It's like, like a deep seek style architecture is MLA. It's basically deep seek, scaled like a little bit differently, um, and obviously trained differently as well.But they, they talked about, why they made the design choices for context. Kimmy has more experts, but fewer attention heads, and I believe a slightly smaller attention, uh, like dimension. But I need to remember, I need to check that. Uh, it doesn't matter. But they discussed this actually at length in a blog post on ji, which is like our pu which is like credit puswyx: Yeah.Kyle: Um, in, in China. Chinese red.swyx: Yeah.Kyle: It's, yeah. So it, it's, it's actually an incredible blog post. Uh, like all the mls people in, in, in that, I've seen that on GPU are like very brilliant, but they, they talk about like the creators of Kimi K two [00:45:00] actually like, talked about it on, on, on there in the blog post.And they say, we, we actually did an experiment, right? Attention scales with the number of heads, obviously. Like if you have 64 heads versus 32 heads, you do half the work of attention. You still scale quadratic, but you do half the work. And they made a, a very specific like. Sort of barter in their system, in their architecture, they basically said, Hey, what if we gave it more experts, so we're gonna use more memory capacity.But we keep the amount of activated experts the same. We increase the expert sparsity, so we have fewer experts act. The ratio to of experts activated to number of experts is smaller, and we decrease the number of attention heads.Vibhu: And kind of for context, what the, what we had been seeing was you make models sparser instead.So no one was really touching heads. You're just having, uh,Kyle: well, they, they did, they implicitly made it sparser.Vibhu: Yeah, yeah. For, for Kimmy. They did,Kyle: yes.Vibhu: They also made it sparser. But basically what we were seeing was people were at the level of, okay, there's a sparsity ratio. You want more total parameters, less active, and that's sparsity.[00:46:00]But what you see from papers, like, the labs like moonshot deep seek, they go to the level of, okay, outside of just number of experts, you can also change how many attention heads and less attention layers. More attention. Layers. Layers, yeah. Yes, yes. So, and that's all basically coming back to, just tied together is like hardware model, co-design, which isKyle: hardware model, co model, context, co-design.Vibhu: Yeah.Kyle: Right. Like if you were training a, a model that was like. Really, really short context, uh, or like really is good at super short context tasks. You may like design it in a way such that like you don't care about attention scaling because it hasn't hit that, like the turning point where like the quadratic curve takes over.Nader: How do you consider attention or context as a separate part of the co-design? Like I would imagine hardware or just how I would've thought of it is like hardware model. Co-design would be hardware model context co-designKyle: because the harness and the context that is produced by the harness is a part of the model.Once it's trained in,Vibhu: like even though towards the end you'll do long context, you're not changing architecture through I see. Training. Yeah.Kyle: I mean you can try.swyx: You're saying [00:47:00] everyone's training the harness into the model.Kyle: I would say to some degree, orswyx: there's co-design for harness. I know there's a small amount, but I feel like not everyone has like gone full send on this.Kyle: I think, I think I think it's important to internalize the harness that you think the model will be running. Running into the model.swyx: Yeah. Interesting. Okay. Bash is like the universal harness,Kyle: right? Like I'll, I'll give. An example here, right? I mean, or just like a, like a, it's easy proof, right? If you can train against a harness and you're using that harness for everything, wouldn't you just train with the harness to ensure that you get the best possible quality out of,swyx: Well, the, uh, I, I can provide a counter argument.Yeah, sure. Which is what you wanna provide a generally useful model for other people to plug into their harnesses, right? So if youKyle: Yeah. Harnesses can be open, open source, right?swyx: Yeah. So I mean, that's, that's effectively what's happening with Codex.Kyle: Yeah.swyx: And, but like you may want like a different search tool and then you may have to name it differently or,Nader: I don't know how much people have pushed on this, but can you.Train a model, would it be, have you have people compared training a model for the for the harness versus [00:48:00] like post training forswyx: I think it's the same thing. It's the same thing. It's okay. Just extra post training. INader: see.swyx: And so, I mean, cognition does this course, it does this where you, you just have to like, if your tool is slightly different, um, either force your tool to be like the tool that they train for.Hmm. Or undo their training for their tool and then Oh, that's re retrain. Yeah. It's, it's really annoying and like,Kyle: I would hope that eventually we hit like a certain level of generality with respect to training newswyx: tools. This is not a GI like, it's, this is a really stupid like. Learn my tool b***h.Like, I don't know if, I don't know if I can say that, but like, you know, um, I think what my point kind of is, is that there's, like, I look at slopes of the scaling laws and like, this slope is not working, man. We, we are at a million token con

Prezident Petr Pavel ve Sněmovně vytkl vládě stagnující výdaje na obranu v době konfliktu na Ukrajině a v Íránu. Kritizoval také škrty, které se dotknou neziskových organizací. Už dříve ale řekl, že rozpočet s rekordním schodkem 310 miliard korun nechce vetovat. „Mělo by to symbolický význam i ekonomické dopady. Schválení by to posunulo o měsíc či dva a úroky by byly ještě vyšší než 4,5 procenta. Ani nechci spekulovat o kolik,“ říká v Interview Plus komentátor Petr Holub.

Botox in the forehead: intradermal > intramuscular -Isotretinoin for sebaceous hyperplasia?!?!? -Add platelet-rich fibrin to your microneedling for acne scars -Nemo AEs - Chemical peels for melasma - Check out Luke's Urticaria CME experience! aaaaicsu.gathered.com/invite/KQe1wPZbJY Learn more about the U of U Dermatology ECHO model! physicians.utah.edu/echo/dermatology-primarycare Want to donate to the cause? Do so here!Donate to the podcast: ⁠uofuhealth.org/dermasphere⁠Check out our video content on YouTube:⁠www.youtube.com/@dermaspherepodcast⁠and VuMedi!: ⁠www.vumedi.com/channel/dermasphere/⁠The University of Utah's DermatologyECHO: ⁠⁠physicians.utah.edu/echo/dermatology-primarycare⁠ -⁠ Connect with us!- Web: ⁠⁠dermaspherepodcast.com/⁠⁠ - Twitter: @⁠DermaspherePC⁠- Instagram: dermaspherepodcast- Facebook: ⁠www.facebook.com/DermaspherePodcast/⁠- Check out Luke and Michelle's other podcast,SkinCast! ⁠⁠healthcare.utah.edu/dermatology/skincast/⁠⁠ Luke and Michelle report no significant conflicts of interest… BUT check out our friends at:- ⁠Kikoxp.com ⁠(a social platform for doctors to share knowledge)- ⁠⁠www.levelex.com/games/top-derm⁠⁠ (A free dermatology game to learn more dermatology!

Send a textJoin all 5 of us plus very special guest Scott Samo AKA Nemo from the Modelgeeks joins in the fun. We talk about the upcoming 2026 Edition of the 48 in 48 Global Group Build and fundraiser to benefit Models for Heroes the weekend of March 20, 2026. We also get serious and do a deep dive into each of the hosts "why" - why this hobby? What keeps each of us coming back to it over other pursuits.JB and Scott have a terrific interview with Boyd Brown, AKA the Quiet Corner Modeler, and we cover a wide range of topics and just generally have a great time! If you would like to become a Posse Outrider, and make a recurring monthly donation of $ 1 and up, visit us at www.patreon.com/plasticpossepodcast .Plastic Posse Podcast on Facebook: https://www.facebook.com/PlasticPossePlastic Posse Group on Facebook: https://www.facebook.com/groups/302255047706269Plastic Posse Podcast MERCH! : https://plastic-posse-podcast.creator-spring.com/Plastic Posse Podcast on YouTube:https://www.youtube.com/channel/UCP7O9C8b-rQx8JvxFKfG-KwOrion Paintworks (TJ): https://www.facebook.com/orionpaintworksJB-Closet Modeler (JB): https://www.facebook.com/closetmodelerThree Tens' Modelworks (Jensen): https://www.facebook.com/ThreeTensModelWorksRocky Mountain Expo: https://rockymtnhobbyexpo.com/SPONSORS:Tankraft: https://tankraft.com/AK Interactive: https://ak-interactive.com/Tamiya USA: https://www.tamiyausa.com/Micro World Games: https://mwg-hobbies.com/Bases By Bill: https://basesbybill.com/?srsltid=AfmBOoojwgAlnXwsJcB_SlYzeclVt9ZuIX3Fd18Ig9k5f4vyIYmihobbSupport the showSupport the show

In this special Valentine's episode, we are joined by Kolby Reddish (a rando on the internet), Nemo the Mormon, Carah Burrell (from Nuancehoe), Julia Sanders from Analyzing Mormonism and John Dehlin for a conversation that might surprise you.Yes - We are critics of Mormonism.Yes - We've experienced pain, disillusionment, and deep deconstruction.And yet… we can hold two different truths at once.In this episode, we model something that feels almost taboo in exMormon spaces: expressing gratitude for the things Mormonism gave us –while still being honest about its harm. In this episode we discuss:- Rituals that shaped our identities- Community and why it's hard to leave- Awe, wonder, and valuing the body- Agency and free will as an act of faith- Why compassion and justice often lead people OUT of the church- Whether we wish to destroy the church or make it betterThere are so many good people inside the Mormon church. The people are often beautiful while the system is complicated. As Richard Rohr once said: “Nobody does first half of life better than Mormons” –and we all share deep gratitude for that first half. This episode does not erase the negative things about the church. It doesn't minimize harm. But it DOES ask whether we can be mature enough to acknowledge the good without surrendering our integrity.Please purchase the book ⁠here⁠.To support this series please donate ⁠here⁠. One half of all donations will go to Dr. Turner for as long as he is participating in the series.___________________YouTubeShow NotesAt Mormon Stories we explore, celebrate, and challenge Mormon culture through in-depth stories told by members and former members of The Church of Jesus Christ of Latter-day Saints as well as scholars, authors, LDS apologists, and other professionals.  Our overall mission is to: 1. Facilitate informed consent amongst LDS Church members, investigators, and non-members regarding Mormon history, doctrine, and theology2. Support Mormons (and members of other high-demand religions) who are experiencing a religious faith crisis3. Promote healing, growth and community for those who choose to leave the LDS Church or other high demand religions

Hello, and welcome to the MGPC Episode 117!  In this episode, Nemo hosts the Geeks with a full house, including a special guest host, Mr. Rudy Cline from LionHeart Hobby.  We chat about the latest and greatest in everyone's model world and get caught up with what's happening in the hobby.  The mail bag was full of awesome emails for this episode, so we run through the listener email and deep dive a few.  We also discuss our favorite listener gallery submissions.  Please keep the emails and gallery pics coming and we can't wait to see your work, discuss them on the podcast, and present them on our website.For the main topic, we discuss trends in the hobby, especially the resurgence of the brick and mortar hobby shops.  Rudy shares his thoughts on the hobby shop boom and notes a few specific contributors.  We also discuss a few notable positive and negative trends in the hobby, with a focus on the positive side.  It's a great topic so we hope you all give it a listen.Please feel free to interact with us through social media, Facebook, Instagram, and email:  contact@modelgeekspodcast.comBe sure to check out our website: www.modelgeekspodcast.com.Make sure you check out our new group / community on Facebook, The ModelGeeks Model ShackWe also want to thank each of our sponsors for their support. We are very lucky to have their support. When you have the time, pay a visit to their web sites, and have a look at their fine products.Detail and ScaleFurball Aero-DesignTamiya USABases by BillLionHeart HobbyHypersonic ModelsMatters of ScaleKotare Models Also, if you're interested in the model shows, click the link below!IPMS USA Events PageWe are very fortunate to be able to join the scale modeling podcast community and are in the company of several other really GREAT podcasts. Hopefully, someday we'll earn our wings and be able to keep up with those guys!  Please check them all out at Scale Model Podcasts.Blogs:The Kit BoxSprue Pie with FretsModel Airplane Maker Well, that's it for this episode.  Thanks again for all your support and we hope to see you all this year.  Just remember, be excellent to each other, and get out there and build something!  Take care everyone, out from the Geeks!Support the showModel Geeks Podcast