Podcasts about Sparks

Hey BillOReilly.com Premium and Concierge Members, welcome to the No Spin News for Tuesday March 17, 2026. Stand Up for Your Country.  Talking Points Memo: Bill goes over the top stories relating to Iran, including the resignation of Joe Kent, a top U.S. counterterrorism official, and President Trump saying the U.S. asked China to delay a meeting due to the war. Airports are in chaos as TSA agents go unpaid during the Department of Homeland Security shutdown. RealClearPolitics contributor and Chairman & CEO of SMI Group LLC, Kenin Spivak, joins the No Spin News to talk about Marxism within the Democratic Party and explain the basis of today's antisemitism. Kristi Noem faces a criminal referral from congressional Democrats. Will anything come of it? Final Thought: Bill shares what happens during White House events. Learn more about your ad choices. Visit megaphone.fm/adchoices

Timothée Chalamet entered the 98th Academy Awards as one of the most talked-about nominees, but insiders say his loss to Michael B. Jordan was simple — voters just didn’t warm to him. Meanwhile, Prince Harry and Meghan Markle are blasting “deranged” claims in a new royal tell-all, and Zendaya has the internet buzzing after crashing a Las Vegas wedding and flashing a ring that reignited Tom Holland marriage rumors. Rob’s latest exclusives and insider reporting can be found at robshuter.substack.com His forthcoming novel, It Started With A Whisper, is now available for pre-orderSee omnystudio.com/listener for privacy information.

A terrifying attack at a Michigan synagogue is stopped before explosives detonate. The panel debates whether it should be called terrorism, the rise in attacks on Jewish communities, and fears about sleeper cells, immigration policy, and growing global tensions spilling into the U.S.

When life feels busy or overwhelming, connection is often the first thing we unintentionally reduce. In this episode, Tina introduces the idea of tiny social sparks, those small, low-pressure moments of human connection that can increase feelings of safety, belonging, and energy. Through simple, everyday interactions, this invitation reminds us that even brief social moments can gently regulate our nervous systems and soften hard days. For episode resources, see https://www.tinaboogren.com/. Music: Happy Clappy Ukulele by Shane Ivers - https://www.silvermansound.com. 

Seth takes a closer look at the Trump administration and Republicans saying the Iran war is both a short excursion and a longer war. Then, Kristin Chenoweth talks about how she already had roots in the cheer community before working on her new show "Stumble," recalls being a sore loser in beauty pageants and shares her love for live theater.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Ken Carman shares a story about a legendary "Trojan Horse" prank between Akron and Kent State students. John then makes the case for the Cleveland Browns drafting quarterback Ty Simpson, citing his pre-existing relationship with Todd Monken. They analyze Simpson's interview comments and debate his viability as a draft target.

A recent change to Texas law now requires local law enforcement to cooperate with federal immigration enforcement.Driverless cabs are making headlines in Austin for all the wrong reasons. What this might mean for Waymo’s plans to expand statewide.Politics v.s. pragmatism in West Texas, long known for its oil, now making a sometimes-begrudging shift to solar […] The post Waymo expansion sparks safety concerns in Texas cities appeared first on KUT & KUTX Studios -- Podcasts.

Craig Carton and Chris McMonigle break down the craziest sports moments this week! From LeBron James demanding a self-honoring NBA patch to a heated discussion about Geno Smith's future with the Jets, nothing is off-limits. Plus, epic Beatles and guitar auction stories, family basketball rivalries, and Big Mac's hilarious take on men's fashion! You won't believe what went down.

This episode is a wake-up call for women tired of overthinking and playing small. Learn how tiny, strategic leaps can transform doubts into unstoppable momentum and unlock extraordinary success. Perfect for women entrepreneurs and leaders ready to stop waiting and start doing. Tune in now to turn hesitation into action and step into your fullest potential.Want to deepen your leadership journey?You'll find two FREE mini-courses designed to elevate your leadership skills and a powerful leadership quiz to help you understand how you show up in the world, personally and professionally. Explore now: www.wilempowered.com, www.wilempowered.com/free-mini-course/ 

Sen. Jim Risch voted to advance Steve Pearce to lead the Bureau of Land Management, igniting debate in Idaho over the future of the state's public lands.

NEW YORK, NY - There was some confusion re the new Major League Rugby refereeing system, despite legendary ref Nigel Owens offering his thoughts from a bubble bath. MLR Director of Rugby Brandon Sparks looks to "clean things up" with host MLR Weekly host Matt McCarthy. WHAT'S INSIDE AND WHEN:

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Fluent Fiction - Catalan: Castell de Montjuïc Sparks Romance In Barcelona's Springtime Find the full episode transcript, vocabulary words, and more:fluentfiction.com/ca/episode/2026-03-12-22-34-01-ca Story Transcript:Ca: El sol primaveral brillava sobre Barcelona mentre Jordi es dirigia cap al Castell de Montjuïc.En: The spring sun shone over Barcelona as Jordi made his way to the Castell de Montjuïc.Ca: Estava emocionat.En: He was excited.Ca: Amava la història i s'havia inscrit a una visita guiada al castell amb l'esperança de conèixer algú que compartís la seva passió.En: He loved history and had signed up for a guided tour of the castle with the hope of meeting someone who shared his passion.Ca: Quan va arribar, un grup de persones ja esperava, entre elles una noia amb un somriure càlid: Laia.En: When he arrived, a group of people was already waiting, among them a girl with a warm smile: Laia.Ca: La Laia era viatgera i estava a Barcelona buscant històries per al seu blog de viatges.En: Laia was a traveler and was in Barcelona looking for stories for her travel blog.Ca: El guia turístic, Martí, era carismàtic i ple de coneixement.En: The tour guide, Martí, was charismatic and full of knowledge.Ca: Va començar la visita amb històries del castell, parlant de la seva importància en la història catalana.En: He began the tour with stories of the castle, talking about its importance in Catalan history.Ca: Jordi estava fascinat, però no deixava de mirar la Laia.En: Jordi was fascinated but couldn't stop looking at Laia.Ca: Quan el grup es va aturar en un dels jardins, Jordi va decidir parlar-li.En: When the group stopped in one of the gardens, Jordi decided to speak to her.Ca: "Hola, em dic Jordi.En: "Hello, my name is Jordi.Ca: T'agrada la història?En: Do you like history?"Ca: " va preguntar amb una veu suau.En: he asked in a gentle voice.Ca: Laia va somriure i va dir: "Molt.En: Laia smiled and said: "Very much.Ca: M'encanta descobrir com la gent vivia abans.En: I love discovering how people lived before.Ca: I tu?En: And you?"Ca: ""També.En: "So do I.Ca: De fet, m'agradaria compartir més sobre la història de Barcelona amb algú que ho apreciï.En: In fact, I would like to share more about the history of Barcelona with someone who appreciates it.Ca: I tu sembles ser aquella persona," va respondre Jordi amb timidesa però sinceritat.En: And you seem like that person," replied Jordi with shyness but sincerity.Ca: La conversa va fluir fàcilment mentre caminaven darrere del grup.En: The conversation flowed easily as they walked behind the group.Ca: Jordi va explicar-li com a Barcelona se celebrava el Dia de Sant Jordi.En: Jordi explained to her how Barcelona celebrated Dia de Sant Jordi.Ca: "Aquí, el 23 d'abril, la gent regala llibres i roses.En: "Here, on April 23rd, people give books and roses.Ca: És una tradició preciosa que uneix la cultura i l'amor," va dir entusiasmat.En: It's a beautiful tradition that unites culture and love," he said enthusiastically.Ca: Amb el sol posant-se sobre l'horitzó, el grup va arribar a un mirador del castell.En: With the sun setting on the horizon, the group arrived at a viewpoint of the castle.Ca: Jordi va veure la bellesa dels colors del cel reflectits en els ulls de Laia i va sentir una onada de valentia.En: Jordi saw the beauty of the sky's colors reflected in Laia's eyes and felt a wave of courage.Ca: Amb el cor bategant ràpidament, va treure una rosa de la seva motxilla i li va donar.En: With his heart beating rapidly, he took out a rose from his backpack and gave it to her.Ca: "Aquesta és per tu, Laia.En: "This is for you, Laia.Ca: Una mica avançada per a Sant Jordi.En: A bit early for Sant Jordi.Ca: No volia esperar," va dir amb un somriure indubtablement nerviós.En: I didn't want to wait," he said with a smile that was undoubtedly nervous.Ca: Laia va acceptar la rosa amb un somriure radiant i va dir: "Gràcies, Jordi.En: Laia accepted the rose with a radiant smile and said: "Thank you, Jordi.Ca: És preciós.En: It's beautiful.Ca: M'encantaria passar el dia de Sant Jordi amb tu.En: I would love to spend Dia de Sant Jordi with you."Ca: "Es van acomiadar amb la promesa de veure's de nou, i Jordi es va sentir més segur d'ell mateix i dels seus sentiments.En: They said goodbye with the promise of meeting again, and Jordi felt more confident in himself and his feelings.Ca: La Laia, per la seva banda, va pensar que havia trobat una història perfecta per al seu blog i, possiblement, una raó per quedar-se més temps a Barcelona.En: Laia, on her part, thought she had found a perfect story for her blog and, possibly, a reason to stay longer in Barcelona.Ca: Amb el castell de Montjuïc com a testimoni, aquella primavera havia portat una nova amistat, una nova història.En: With Castell de Montjuïc as a witness, that spring had brought a new friendship, a new story.Ca: I així va començar una nova època per a tots dos, plena de llibres, roses i noves aventures.En: And so a new era began for both of them, full of books, roses, and new adventures. Vocabulary Words:the spring sun: el sol primaveralexcited: emocionatto sign up: inscriure'sthe group: el grupwarm smile: somriure càlidthe traveler: el/la viatger/athe tour guide: el guia turísticcharismatic: carismàticfascinated: fascinatthe garden: el jardígentle voice: veu suauto discover: descobrirshyness: timidesato appreciate: apreciarthe tradition: la tradicióenthusiastically: entusiasmatthe horizon: l'horitzóthe viewpoint: el miradorto reflect: reflectirwave of courage: onada de valentiato beat rapidly: bategar ràpidamentthe backpack: la motxillaundoubtedly nervous: indubtablement nerviósto feel confident: sentir-se segurthe feelings: els sentimentsthe witness: el testimonithe friendship: l'amistatthe adventure: l'aventurato promise: prometrethe era: l'època

University Capacity Crisis Sparks Calls for Parliamentary Inquiry by Radio Islam

Tara blasts major media outlets for how they reported on a bombing incident outside New York City's mayoral residence. She argues the coverage downplayed the seriousness of the attack and framed the suspects in sympathetic terms rather than clearly labeling the act as terrorism. Tara says the reaction highlights deeper concerns about political bias in media coverage and the willingness of outlets to soften language depending on the ideology of the suspects. SEGMENT SUMMARY: Tara reacts to a controversial media report about two suspects arrested after throwing homemade explosive devices during a protest outside the residence of New York City's mayor. She criticizes coverage from CNN and other outlets that initially described the suspects in neutral or sympathetic terms, arguing that the language minimized the seriousness of the alleged attack. According to Tara, the reporting focused on details such as the suspects traveling into the city and the weather that day, rather than emphasizing the act of throwing explosive devices. Tara claims the coverage demonstrates a double standard in media narratives about violence and extremism. She argues that the press was quick to speculate about right-wing motives early in the story but walked back those claims once more information surfaced. The segment also explores how social media quickly challenged early reports and forced corrections from major outlets. Tara says the situation reveals growing distrust between traditional media organizations and audiences who increasingly rely on alternative platforms for breaking information. She concludes by questioning how narratives surrounding domestic extremism and terrorism are shaped, and whether media outlets apply consistent standards when describing politically motivated violence. KEY TOPICS: Media framing and language in crime reporting Alleged bombing incident outside a New York mayoral residence Public backlash to news coverage The role of social media in correcting breaking news narratives Debates about media bias and political double standards SOCIAL MEDIA POST:

Bam Adebayo's 83 Points LIGHT UP Gil's Arena as Gilbert Arenas & The Gil's Arena Crew react to Bam Adebayo dropping 83 points in the Miami Heat's win over the Washington Wizards and give their take on Bam passing Kobe Bryant for the 2nd most points scored in a game in NBA History. They discuss Bam's historic night including how the superstar center reached the mark with an NBA record 43 free throws and debate if Kobe Bryant fans deserve to be upset after Bam shattered the Black Mamba's record. Next, they break down the potential NBA Finals preview between the San Antonio Spurs & Boston Celtics where Victor Wembanyama & The Spurs took down the Celtics and give their take on Jaylen Brown's controversial double technical that got the Celtics' best player ejected before Gilbert Arenas finally gets a chance to defend his take on Jayson Tatum's return after the Superstar has looked solid in his first few games back since tearing his achilles. They then discuss the Los Angeles Clippers historic turnaround as Kawhi Leonard has carried the Clippers back to .500 and debate if moving on from James Harden was the right move to get this team back in the hunt for an NBA Championship. Finally, they react to the Los Angeles Lakers sweeping the season series against the Minnesota Timberwolves where the team improved to 10-2 in games where Luka Doncic & Austin Reaves play without LeBron James, fueling the narrative that the team is better with the King on the bench and give their savage takes on the NBA cancelling the Atlanta Hawks' Magic City promotion. PLEASE Give Us A LIKE & SUBSCRIBE!!!! Today's Gil's Arena Crew : Gilbert Arenas, Josiah Johnson, Nick Young, Brandon Jennings & Rashad McCants Gil's Arena premieres every Wednesday & Thursday at 11:30am PT / 2:30pm ET. Sign up for Underdog HERE with promo code GIL and play $5 to get $75 in bonus funds or bonus entries https://play.underdogfantasy.com/p-gi... If prescribed, new sexual health patients get $15 off their first order of Sparks on a recurring plan. Connect with a provider at https://ro.co/arena to find out if prescription Ro Sparks are right for you. SUBSCRIBE:    / @thearena0   Join the Underdog discord for access to exclusive giveaways and promos!   / discord   Must be 18+ (19+ in AL, NE; 19+ in CO for some games; 21+ in AZ & MA) and present in a state where Underdog Fantasy operates. Terms apply. Concerned with your play? Call 1-800-GAMBLER or visit www.ncpgambling.org; NY: Call the 24/7 HOPEline at 1-877-8-HOPENY or Text HOPENY (467369) Show Start 0:00:00 Bam Adebayo Drops 83 Points 0:03:07 Spurs Take Down The Celtics 1:21:10 Gil Will Not Apologize For Being Wrong On Tatum 1:28:45 Does Wemby Deserve More MVP Love? 1:50:37 Learn more about your ad choices. Visit megaphone.fm/adchoices

Bouncing back from a buggy recap episode, the crew returns to the SS Sparks & Rec only to discover a couple more bugs still lingering in the hold. Also among the stowaways are a pair of new cards that have slipped into the Dungeons Promos market deck, along with perhaps the stealthiest change of all – a sneaky buff to War Blessing. The main topic of the show centers on Tuff's tear through the queue with the latest meta menace (Elf Thief) following the most recent balance update.And of course, all your other favorite segments. Thanks for listening. WWYD: 8:34Bugs, new cards, and stealth buff: 26:54Elf Thief Discussion: 52:29Hero Realms Summary emails: 1:32:03Community Round-up: 1:44:52Taps, Scraps, Good-byes: 1:58:51Hero Realms is a fantasy-themed expandable deckbuilding game from Wise Wizard Games.Hosts: Chris "DblDubz" Walberg, Cooper "Filtrophobe" Fitzpatrick, and John "Tuff" LabellaProducer: Chris WalbergHero Helper: https://hero-helper.com/Realms Rising: https://www.realmsrising.comYou can find the WWYD screenshots for this episode here: https://www.realmsrising.com/podcast/sparks-and-recreation-96-bugs-balance-and-breakthroughsPatreon: https://patreon.com/sparksandrecHyperGeometric Calculator: https://aetherhub.com/Apps/HyperGeometricCommunity Tournaments & Events Primer (+ signup links): https://www.realmsrising.com/community-events/Realms Rising Discord: https://discord.gg/8pTxKqzFDcContact S&R: contact@sparks-and-recreation.comSupport Sparks & Rec: https://hero-helper.com/support-usSparks & Recreation Website: https://www.realmsrising.com/sparks-and-recreation/Thank you so much to Level 12 Hero Sarah T., Warden Slayer, as well as Level 7 Hero Nudeltulpe!Specific songs used in this episode were:Intro/Outro Music: "Uplifting Orchestra Pack" by GoodBunny. (Under the Music Standard License)Licensed under Creative Commons BY Attribution 4.0 License Hosted on Acast. See acast.com/privacy for more information.

The first episode of Season 3 is now available to watch.In this conversation, Alisa Sparks, Founder and CEO of Linden Creek, shares how she turned a side-hustle home staging business into a 20-location luxury franchise. Her journey from managing multi-million-dollar defense budgets to building a luxury design brand is a powerful story of vision, courage, and leadership.We talk about what success really means beyond titles and money, and how growth, resilience, and intentional leadership play a role in building something meaningful over time.In this episode we discuss: • Scaling a business from a side hustle to a national brand • Redefining success as a lifelong journey • Leadership and building a purpose-driven company • The courage it takes to pursue a bigger visionIf you're an entrepreneur, leader, or someone looking to redefine success on your own terms, this episode is worth the watch.Connect with Alisa Sparks & Linden Creek:Website: www.linden-creek.comInstagram: @lindencreek_Instagram: @Alisa_Sparks_LinkedIn (Company): www.linkedin.com/company/linden-creekLinkedIn (Alisa Sparks): www.linkedin.com/in/alisasparkslc/YouTube: www.youtube.com/@LindenCreekConnect with Phil Portman:Website: https://www.philportman.comFacebook: https://www.facebook.com/philportmanInstagram: https://www.instagram.com/phil.portmanLinkedIn: https://www.linkedin.com/in/philportmanYouTube: https://www.youtube.com/@successispodcast

Why love what you will lose? There is nothing else to love. “From the Japanese” by Louise Gluck

True Crime Tuesday presents: Hooked: A Deadly Drug With Deadlier Intentions with Journalist/Author, Caitlin Rother!When investigative reporter Katrina Chopin and surfing homicide detective Ken Goode lock eyes, there's an immediate attraction. Sparks fly as they bond over cocktails, sharing their common experiences of being orphans and losing loved ones to suicide.But the next time they meet, it's from opposing sides of a high-profile case. Two biotech execs, whose company is developing a groundbreaking sexual enhancement drug, turn up dead in the wealthy seaside enclave of La Jolla Farms, where Goode can readily see that the forensic evidence doesn't add up.As they work their own angles, sometimes together and sometimes at odds, their growing attraction threatens to cost them their jobs—and their lives. As Katrina and Goode pursue answers behind these mysterious events, a secret stalker taunts Katrina with details of her tragic past, which takes her to the brink of death. But once the duo rips the mask away from this beautiful paradise, the corrupt underbelly behind all that glitters is revealed.On today's TCT, Caitlin Rother returns to discuss how she blends her real-life experiences in newsrooms and as a reporter with her fictional character, Katrina Chopin. Caitlin also addresses setting things ahead in the future, from when she was in the business, and the challenge of getting certain things right for this intriguing edge-of-your-seat thriller!  We also delve into her opinions on the state of the media these days, and more!  Get your copy of "Hooked: A Thriller..." here:  https://bit.ly/46PRgVBCheck out Caitlin Rother here:  https://www.caitlinrother.com/PLUS AN ALL-NEW DUMB CRIMES/STUPID CRIMINALS WITH JESSICA FREEBURG!Check out Jessica Freeburg's website and get tickets to her events here:  https://jessicafreeburg.com/upcoming-events/and check out Jess on TikTok:  https://www.tiktok.com/@jessicafreeburgwritesFor the first time, get ALL NEW TRUE CRIME TUESDAY GEAR!  Represent your favorite true crime podcast in style! There are new and different (and really cool) items all the time in the Darkness Radio Online store at our website! . Check out the Darkness Radio Store!   https://www.darknessradioshow.com/store/Make sure you update your Darkness Radio Apple Apps!and subscribe to the Darkness Radio You Tube page:  https://www.youtube.com/@DRTimDennis#crime #truecrime #truecrimepodcasts #truecrimetuesday #caitlinrother #hookedathriller #katrinaandgoodebook1 #katrinachopin #kengoode #victoriafontaine #vitaleron #lajolla #california #simonfontaine #mantabulis #femtastica #pharmaceuticalcompanies #drugapprovalprocess #serialkiller #deathbydrugging #murder #eroticasphyxia #dumbcrimesstupidcriminals #TimDennis #jessicafreeburg #paranormalauthor #ghoststoriesink  #floridaman #drugcrimes #foodcrimes #stupidcrimes #funnycrimes #sexcrimes #airplanecrimes 

In this episode, host Adam Stoker sits down with Allison Yamamoto Sparks, the Director of San Juan County Tourism, to discuss the complexities of managing a destination the size of New Jersey with only 15,000 residents. Allison shares her 17-year journey through leadership shifts and how she brokered rare, fast-tracked collaborations with federal agencies to protect Utah's "Canyon Country". Subscribe to our ⁠⁠⁠⁠newsletter⁠⁠⁠⁠! The ⁠⁠⁠⁠Destination Marketing Podcast⁠⁠⁠⁠ is a part of the ⁠⁠⁠⁠Destination Marketing Podcast Network⁠⁠⁠⁠. It is hosted by Adam Stoker and produced by Brand Revolt. If you are interested in any of Brand Revolt's services, please email ⁠⁠⁠⁠adam@thebrandrevolt.com⁠⁠⁠⁠ or visit ⁠⁠⁠⁠www.thebrandrevolt.com⁠⁠⁠⁠. To learn more about the Destination Marketing Podcast network and to listen to our other shows, please visit ⁠⁠⁠⁠www.thedmpn.com⁠⁠⁠⁠. If you are interested in joining the network, please email ⁠⁠⁠⁠adam@thebrandrevolt.com⁠⁠⁠⁠.

Paul Pierce Says the Lakers Should Ship LeBron “To the Moon,” Reggie Miller Sparks Frenzy Ranking Kobe and Jordan Above Him, the NBA World Reacts to Adam Silver Canceling Hawks “Magic City” Night, and Chris Broussard Says LeBron Won't Sacrifice for LA Learn more about your ad choices. Visit megaphone.fm/adchoices

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

The world could face one of the most severe shocks to energy markets since the 1970s as we enter week two of the war in the Middle East.The strait of Hormuz, the artery for 20 per cent of the world's oil and gas, has been effectively shut down. Qatar, which makes up one fifth of the world's liquefied natural gas exports, has stopped production of LNG after Iran struck two of its sites. In the aftermath natural gas prices spiked in Asia and Europe.Jim Krane, a fellow in Middle East Energy Studies at Rice University's Baker Institute for Public Policy, is here to talk through the high stakes. Jim also reported for the Associated Press in the Middle East for years.For transcripts of Front Burner, please visit: https://www.cbc.ca/radio/frontburner/transcripts

Reproduced from ‪@garlandn‬ with thanks. • IMPERIALISM: DECADENT & DOOMED W/JOTI BRAR... This week I talked with Garland Nixon about the illegal and aggressive war that has been launched by US imperialism and its Israeli zionist proxies against Iran. What are the wider ramifications for the politics and economics of the middle east? What could it mean for workers in Europe and the west? Apparently, strategists in the White House have been ‘surprised' by the Iranian people's robust response to this latest attempt to destroy their independence, integrity and sovereignty. Yet anyone paying attention for the last year knew well what was coming if the imperialists restarted their aggression of last June. The longer the war continues, the more the economic and military structures of Anglo-American control over the middle east – air and naval bases, embassies, intelligence structures, corporate and oil infrastructure, money-laundering facilities and tech machinery and the entire zionist settler-colony – will come under fire. And the more that continues, the more the oppressed populations of the region will be motivated to rise up against the illegitimate stooges who rule over them to join with the already-existing Axis of Resistance in their existential fight for the liberation and sovereignty not only of Iran but of all the peoples of west Asia. Workers in the west are in for a rude awakening if they think this war will leave them unscathed. We must draw the correct conclusions – that imperialism, not the Iranian people, is our real enemy, and that our trade unions and antiwar movement must be remodelled to stand up for our interests against the bloodsucking, warmongering British imperialist financier class. Subscribe! Donate! Join us in building a bright future for humanity! www.thecommunists.org www.lalkar.org www.redyouth.org Telegram: t.me/thecommunists Twitter: twitter.com/cpgbml Soundcloud: @proletarianradio Rumble: rumble.com/c/theCommunists Odysee: odysee.com/@proletariantv:2 Facebook: www.facebook.com/cpgbml Online Shop: https://shop.thecommunists.org/ Education Program: https://thecommunists.org/education-programme/ Each one teach one! www.londonworker.org/education-programme/ Join the struggle www.thecommunists.org/join/ Donate: www.thecommunists.org/donate/

Join host Roxie Rush on Biography Flash as she covers three major MrBeast developments from early 2026: the dramatic reveal of Colin winning the $1 million Salesforce Super Bowl puzzle, Beast Industries' expansion into financial services, and the controversy sparked by Jimmy Donaldson's comments on traditional education. Roxie breaks down how these stories signal MrBeast's evolution from YouTube creator to business mogul and cultural commentator.Loved this episode? Discover more original shows from the Quiet Please Network at QuietPlease.ai, explore our curated favorites here amzn.to/42YoQGI, and catch just a slice of our AI hosts in action on Instagram at instagram.com/claredelish and YouTube at youtube.com/@DIYHOMEGARDENTVThis content was created in partnership and with the help of Artificial Intelligence AI

Zendaya stepped out at Paris Fashion Week wearing rings on her left hand, reigniting speculation that she may have secretly married Tom Holland. Also, Cher sparked marriage chatter after sporting a large diamond ring at son Chaz Bono's wedding. Rihanna was seen leaving Los Angeles on a private flight a day after a woman allegedly fired shots at her home. Plus, Dak Prescott and fiancée Sarah Jane Ramos have called off their wedding and ended their relationship just one month before their planned ceremony. Hosts: Charlie Cotton, Antonio Smith Learn more about your ad choices. Visit podcastchoices.com/adchoices

True Crime Tuesday presents: Hooked: A Deadly Drug With Deadlier Intentions with Journalist/Author, Caitlin Rother!When investigative reporter Katrina Chopin and surfing homicide detective Ken Goode lock eyes, there's an immediate attraction. Sparks fly as they bond over cocktails, sharing their common experiences of being orphans and losing loved ones to suicide.But the next time they meet, it's from opposing sides of a high-profile case. Two biotech execs, whose company is developing a groundbreaking sexual enhancement drug, turn up dead in the wealthy seaside enclave of La Jolla Farms, where Goode can readily see that the forensic evidence doesn't add up.As they work their own angles, sometimes together and sometimes at odds, their growing attraction threatens to cost them their jobs—and their lives. As Katrina and Goode pursue answers behind these mysterious events, a secret stalker taunts Katrina with details of her tragic past, which takes her to the brink of death. But once the duo rips the mask away from this beautiful paradise, the corrupt underbelly behind all that glitters is revealed.On today's TCT, Caitlin Rother returns to discuss how she blends her real-life experiences in newsrooms and as a reporter with her fictional character, Katrina Chopin. Caitlin also addresses setting things ahead in the future, from when she was in the business, and the challenge of getting certain things right for this intriguing edge-of-your-seat thriller!  We also delve into her opinions on the state of the media these days, and more!  Get your copy of "Hooked: A Thriller..." here:  https://bit.ly/46PRgVBCheck out Caitlin Rother here:  https://www.caitlinrother.com/PLUS AN ALL-NEW DUMB CRIMES/STUPID CRIMINALS WITH JESSICA FREEBURG!Check out Jessica Freeburg's website and get tickets to her events here:  https://jessicafreeburg.com/upcoming-events/and check out Jess on TikTok:  https://www.tiktok.com/@jessicafreeburgwritesFor the first time, get ALL NEW TRUE CRIME TUESDAY GEAR!  Represent your favorite true crime podcast in style! There are new and different (and really cool) items all the time in the Darkness Radio Online store at our website! . Check out the Darkness Radio Store!   https://www.darknessradioshow.com/store/Make sure you update your Darkness Radio Apple Apps!and subscribe to the Darkness Radio You Tube page:  https://www.youtube.com/@DRTimDennis#crime #truecrime #truecrimepodcasts #truecrimetuesday #caitlinrother #hookedathriller #katrinaandgoodebook1 #katrinachopin #kengoode #victoriafontaine #vitaleron #lajolla #california #simonfontaine #mantabulis #femtastica #pharmaceuticalcompanies #drugapprovalprocess #serialkiller #deathbydrugging #murder #eroticasphyxia #dumbcrimesstupidcriminals #TimDennis #jessicafreeburg #paranormalauthor #ghoststoriesink  #floridaman #drugcrimes #foodcrimes #stupidcrimes #funnycrimes #sexcrimes #airplanecrimes 

Pastor Paul Kolander, from The Springs Lutheran Church in Sparks, leads us today as our guest preacher as we study John 11, where Jesus dramatically reveals himself to be the resurrection and the life for his people.

Health campaigners in Clare have expressed "anger and deep frustration" following the announcement that a site has been identified for a new hosptial campus for the Midwest. Health Minister Jennifer Carroll MacNeill has approved the acquisition of a 43-acre site in Raheen in Limerick. The Friends of Ennis Hospital claims 130,000 people in Clare along with a further 80,000 in Tipperary will see limited benefit from the hospital being located in the city. Chairperson Angel Coll says while investment in Midwest is positive, she believes it's incredibly disappointing that the site will be located so close to University Hospital Limerick.

Gerry warns America has forgotten the lessons of 9/11 as new terror scares erupt across the country. Two teens from Pennsylvania allegedly plot a bombing outside New York's Gracie Mansion during an anti-Islam protest. The NYC mayor sparks outrage by blaming “white supremacy” instead of addressing Islamic extremism. Media coverage is slammed for downplaying terrorism and shifting blame onto protesters. Gerry argues rising threats and political denial show the country has let its guard down since 9/11. Today's podcast is sponsored by : BOLL & BRANCH COMFORT SHEETS - Discover linen softness beyond your wildest dreams with Boll & Branch. Get 15% off your first set of sheets plus free shipping at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://BollAndBranch.com/GERRY⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ with promo code GERRY   QUINCE CLOTHING - Refresh your wardrobe with Quince.  Go to http://Quince.com/GERRY for free shipping on your order and 365-day returns.   Listen to Newsmax LIVE and see our entire podcast lineup at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://Newsmax.com/Listen⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Make the switch to NEWSMAX today! Get your 15 day free trial of NEWSMAX+ at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://NewsmaxPlus.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Looking for NEWSMAX caps, tees, mugs & more? Check out the Newsmax merchandise shop at: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://nws.mx/shop⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Follow NEWSMAX on Social Media:             • Facebook: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://nws.mx/FB⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠             • X/Twitter: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://nws.mx/twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠            • Instagram: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://nws.mx/IG⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠            • YouTube: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://youtube.com/NewsmaxTV⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠             • Rumble: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://rumble.com/c/NewsmaxTV⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠             • TRUTH Social: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://truthsocial.com/@NEWSMAX⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠            • GETTR: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://gettr.com/user/newsmax⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠            • Threads: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://threads.net/@NEWSMAX⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠             • Telegram: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://t.me/newsmax⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠              • BlueSky: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://bsky.app/profile/newsmax.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠            • Parler: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://app.parler.com/newsmax⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

BUY CAST BREW COFFEE TO SUPPORT THE SHOW - https://castbrew.com/ Become A Member And Protect Our Work at http://www.timcast.com Host: Tim Pool @Timcast (everywhere) Guest: My Second Channel - https://www.youtube.com/timcastnews Podcast Channel - https://www.youtube.com/TimcastIRL For advertising inquiries please email sponsorships@rumble.com

Sparks fly when 9-year-old pianist Alexander Zhou takes the keys. Orli Shaham hosts this episode where we also hear from a teenage violist performing Rebecca Clarke's beautiful viola Sonata.To manage podcast ad preferences, review the links below:See pcm.adswizz.com for information about our collection and use of personal data for sponsorship and to manage your podcast sponsorship preferences.Learn more about sponsor message choices: podcastchoices.com/adchoicesNPR Privacy Policy

In Episode 237 of Theology In Particular, Pastor Joe Anady and Dr. Daniel Scheiderer are joined by Dr. Drew Sparks as he explains the concept of habit in light of his upcoming course on Ethics and Reformed Moral Theology.    Contact: For information about International Reformed Baptist Seminary, go to irbsseminary.org. For feedback, questions, or suggestions, email Joe Anady at tip@irbsseminary.org.

Most companies overlook a crucial factor in mastering AI-driven change: the human side. In this episode, Anna, Chief People and Culture Officer at Mentimeter, reveals how fostering curiosity, humility, and leadership agility is the real secret to thriving in a fast-evolving digital landscape. She shares surprising insights from her journey—from pivoting into HR, leading with heart and bravery, to reimagining education for the future of work.

Iran names a new supreme leader — and within hours, missiles and drones fly again across the region. Plus, oil markets react to the escalation. Drivers in the U.S. begin seeing the impact at the pump. And an explosive device is thrown near the home of New York City Mayor Zohran Mamdani over the weekend. Two men are now under arrest. These stories and more highlight your Unbiased Updates for Monday, March 9, 2026.

Acclaimed short fiction writers Sarah Hall, Jonathan Escoffery, and Niamh Mulvey on building immersive worlds in compressed spaces, grounding stories in real human stakes, and writing openings and endings that transform both character and reader.   Timestamps: 00:01:06 Sarah Hall (from Episode 161) 00:14:43 Jonathan Escoffery (from Episode 56) 00:26:42 Niamh Mulvey (previously unreleased conversation) You'll learn: Sarah Hall's “keyhole” approach to short stories — and how the unseen world beyond the scene gives a story its depth. Why trusting your preoccupations beats forcing a theme, and how over-awareness of your own subject can kill the fiction. A technique for thickening a thin first draft: telescope into your character's childhood, then out to their future. Why Jonathan Escoffery believes stories without real-world stakes will lose to equally crafted stories that engage with the world, every time. How Escoffery pairs imagination with lived emotional experience to make unfamiliar settings resonate — and why personal growth feeds artistic growth. What choosing a linked story collection over a novel taught Escoffery about pacing, pause, and propulsive energy. Why Niamh Mulvey thinks showing off your best writing in an opening is a mistake — and what to do instead (start specific, name a character, put two people in relation). A prompt for finding your story's urgency: ask “why this moment?” and aim for the energy of really good gossip. How character desire shapes place and plot at the same time, so setting becomes what your character wants rather than backdrop. Mulvey's “third element” — a character, object, or event seeded early that can emerge later to unlock your ending. Resources & Links: Join our LWS community! Sarah's full episode and notes Jonathan's full episode and notes If I Survive You by Jonathan Escoffery Hearts and Bones: Love Songs for Late Youth by Niamh Mulvey The Amendments by Niamh Mulvey Sombrero Fallout by Richard Brautigan   About Sarah Hall: Sarah Hall is one of the UK's most talented authors. Twice nominated for the Man Booker Prize, the first and only writer to win the BBC National Short Story Award twice, she has written ten highly acclaimed novels and short story collections. About Jonathan Escoffery: Jonathan Escoffery is the author of the linked story collection If I Survive You, a New York Times and Booklist Editor's Choice, an IndieNext Pick, and a National Bestseller. His stories have appeared in The Paris Review, Oprah Daily, Electric Literature, Zyzzyva, AGNI, Pleiades, American Short Fiction, Prairie Schooner, Passages North, and elsewhere. About Niamh Mulvey: Niamh Mulvey is from Kilkenny, Ireland. Her short fiction has been published in The Stinging Fly, Banshee and Southword and was shortlisted for the Seán O'Faoláin Prize for Short Fiction 2020. Her short story collection Hearts and Bones: Love Songs for Late Youth was published by Picador. The Amendments is her first novel. For show notes, transcripts and to attend our live podcasts visit: podcast.londonwriterssalon.com.For free writing sessions, join free Writers' Hours: writershour.com.*FOLLOW LONDON WRITERS' SALONTwitter: twitter.com/​​WritersSalonInstagram: instagram.com/londonwriterssalonFacebook: facebook.com/LondonWritersSalonIf you're enjoying this show, please rate and review this show!

Get a copy of his book here:https://www.amazon.com/dp/1963701771?ref=cm_sw_r_ffobk_cp_ud_dp_F4TK9V852NSRWE47V31D&ref_=cm_sw_r_ffobk_cp_ud_dp_F4TK9V852NSRWE47V31D&social_share=cm_sw_r_ffobk_cp_ud_dp_F4TK9V852NSRWE47V31D&bestFormat=true Hosted on Acast. See acast.com/privacy for more information.

After Her Cheat, Skinny Dipping Sparks the Cruel RevengeBecome a supporter of this podcast: https://www.spreaker.com/podcast/true-cheating-wives-and-girlfriends-stories-2026-true-cheating-stories-podcast--5689182/support.

JJ Redick Gets Philosophical After Lakers Loss to Denver, Wembanyama Crowned Face of the NBA, Shannon Sharpe Melts Down Over Jordan Debate, Kobe vs LeBron Sparks Fan War, Sharpe Disses Kobe on Nightcap, Broussard Checks Nick Wright Over Jordan Hate Learn more about your ad choices. Visit megaphone.fm/adchoices

Cathy Mehan reveals how Trump's glyphosate executive order strips your legal protection - and why the same liability shield destroyed accountability in 1986 and is doing it again right now. Chapters: 00:00 - Intro: Glyphosate, Roundup & Trump's Executive Order 02:10 - Meet Kathy Meehan: Medical Freedom Advocate & Meehan MD 03:30 - Informed Consent, Jim Meehan's Legacy & Launching Mindset Kids 05:00 - The 1986 National Childhood Vaccine Injury Act & Corporate Liability 06:30 - Trump's 2026 Glyphosate Act - Chess Move or Sellout? 08:24 - The Infamous Patrick Moore "Drink Roundup" Clip 10:30 - How Closed-Minded Thinking Infects the Medical World 12:53 - Consumers Are the Real Change Agents - Voting With Their Dollars 16:29 - Disease Management vs. Functional Medicine: The Parallel Medical System 19:05 - Brian's 385-Pound Journey & the Time Preference Problem 22:54 - Leading By Example: Kathy's 90-Day Transformation Challenge 25:23 - Informed Consent in Practice - You CAN Fire Your Doctor 27:40 - The Parallel Economy of Alternative Health & the Need for Critical Thinking 30:27 - Censorship, Covid, & Why Platforms Like Rumble Matter 32:36 - Kathy's Final Resources: Mindset Kids, Vax Facts & An Inconvenient Study LINKS: Mehan MD (Adult Telemedicine): https://mehanmd.comMindset Kids (Pediatric Telemedicine): https://mindsetkids.comCardio Miracle (Sponsor): https://cardiomiracle.com/TBNSAn Inconvenient Study / VAX Facts / Vaccines and the Diseases They Target: https://mindsetkids.com/resources ❤️ Order Cardio Miracle (CardioMiracle.com/TBNS) for 15% off and take a step towards better heart health and overall well-being!

 As administrators revisit tenure policy, teaching professors say the review raises questions about stability, hiring and the future of their roles.  

The MLR has created a whole new replay and review system that replaces TMO. RRS (Referee Review System) seeks to place the power back into the hands of the head official. The intent is to speed up reviews and create a more transparent process designed to enhance rugby for all supporters to enjoy.Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

Tune in live every weekday Monday through Friday from 9:00 AM Eastern to 10:15 AM.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Buy our NFT⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Join our Discord⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Check out our Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Check out our YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠DISCLAIMER: The views shared on this show are the hosts' opinions only and should not be taken as financial advice. This content is for entertainment and informational purposes.

House Judiciary Committee oversight hearings are intended to hold federal agencies accountable. But the latest session involving Homeland Security Secretary Kristi Noem has become a flashpoint in the debate over immigration enforcement. While Noem received strong support from Republicans on the committee, Democratic lawmakers pressed her on several controversial issues, including the shooting deaths of two Americans during a federal operation and allegations that the Department of Homeland Security obstructed oversight investigations. USA TODAY National News Reporter Lauren Villagran joins The Excerpt to share her insights.Let us know what you think of this episode by sending an email to podcasts@usatoday.com. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Send a textWhat if the real AI edge isn't another tool, but a new way of working? We sit down with author and entrepreneur Bryan Cassady to break the habit of “prompt and pray” and replace it with a teammate mindset that turns AI into a collaborator you can brief, challenge, and iterate with. Instead of shiny demos, we get into the gritty, day-to-day shifts that drive measurable results.We start by naming the core failure pattern: teams deploy AI without clear objectives or a system to absorb its output. Bryan lays out how a generative organization creates new value from existing assets by designing simple loops—plan, do, study—then placing AI where it augments human judgment. He draws a sharp line between using AI like a vending machine and working with AI like a colleague, complete with context, constraints, and feedback. You'll hear a practical cold-email example that shows why context, not clever wording, is the real differentiator.Bryan shares SPARKS, a compact framework to level up results: Speak your thoughts to clarify context, Pivot so AI asks you questions, Ask for more with regeneration and feedback, Reframe the brief from new angles, Keep going past the obvious, and Stop to think before accepting answers. We explore custom instructions, red teaming, and confidence scoring to raise quality. And we dig into myths: innovation isn't a lightbulb moment, and “human in the loop” isn't always better—what matters is the order of handoffs between humans and models.You'll also hear a surprising publishing experiment: removing the paywall and adding AI tools to Bryan's book increased usage and sales. The deeper lesson for leaders is clear—reduce friction to understanding and practice, and adoption grows. Whether you're a founder, marketer, or team lead, you'll leave with concrete ways to make AI a partner in strategy, copy, research, and review. If this conversation sparks an idea, share it with a colleague, subscribe for more like this, and leave a quick review to help others find the show.This episode was recorded through a Descript call on February 3, 2026. Read the blog article and show notes here: https://webdrie.net/stop-using-ai-and-start-working-with-it..........................................................................Metricool is a new official podcast partner of Web3 CMO Stories in 2026. Metricool helps marketers and creators bring structure, clarity, and consistency to their social media workflows through analytics, planning, and reporting. Listeners can try Metricool Premium for free for 30 days using the coupon code JOERI..........................................................................

ARN Media, the radio company behind KIIS and Gold FM, has seen its share price jump over 5% after the fallout of The Kyle and Jackie O show. Audible, Amazon's audiobook giant, has launched a cheaper subscription plan for the first time as it faces a major threat from Spotify. Australia's major airports are made over $400 million in profit from carparking alone in 2025. _ Download the free app (App Store): http://bit.ly/FluxAppStore Download the free app (Google Play): http://bit.ly/FluxappGooglePlay Daily newsletter: https://bit.ly/fluxnewsletter Flux on Instagram: http://bit.ly/fluxinsta Flux on TikTok: https://www.tiktok.com/@flux.finance —- The content in this podcast reflects the views and opinions of the hosts, and is intended for personal and not commercial use. We do not represent or endorse the accuracy or reliability of any opinion, statement or other information provided or distributed in these episodes.__See omnystudio.com/listener for privacy information.

Episode 791: Neal and Toby give an update on the Iran war and its impact on the stock market, causing traders to move with caution. Then, ticket seller giant Live Nation goes on trial to face accusations of being a monopoly. And, with the purchase of Warner Bros. Discovery, Skydance plans to merge Paramount+ with HBO into one big app to challenge Netflix. Meanwhile, Sweetgreen used to be the darling of Wall Street. Now it's wilting under sagging sales.  Learn more about Bland AI at bland.ai/mbd Join us for trivia! https://mbdtrivianight-march2026.splashthat.com/ Subscribe to Morning Brew Daily for more of the news you need to start your day. Share the show with a friend, and leave us a review on your favorite podcast app. Listen to Morning Brew Daily Here:⁠ ⁠⁠https://www.swap.fm/l/mbd-note⁠⁠⁠  Watch Morning Brew Daily Here:⁠ ⁠⁠https://www.youtube.com/@MorningBrewDailyShow⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

The conversation continues with a deep dive into Tarik Skubal's decision to throw just one 55-pitch outing in the World Baseball Classic before heading back to camp. The guys agree his injury concerns make sense, but question the optics of flying in, pitching once, and leaving. Is that smart workload management, or does it make the tournament feel like an All-Star Game?

At least 24 African countries have signed controversial bilateral health agreements with the United States under Donald Trump's new aid strategy, while others, including Zimbabwe, have rejected it. Supporters say it gives governments more control over their health systems, but critics question accountability, data protection and continued US influence. We unpack what the deal means and why it's dividing opinion across the continent.And as the world marks World Hearing Day, we turn to the 40 million people across Africa living with hearing loss. With sign language officially recognised in only four countries- South Africa, Uganda, Kenya and Zimbabwe, we head to Nairobi, where a young tech startup is using AI to translate spoken and written English into sign language in real time.Presenter: Nkechi Ogbonna Producer: Keikantse Shumba and Dingindaba Buyoya Technical Producer: Jonathan Mwangi Senior Producers: Bella Twine and Blessing Aderogba Editors: Samuel Murunga and Maryam Abdalla