Podcasts about Grove

Teddy Killerz - Chemical Explosion Teej, Umbra, Ellis Esco - Take You Away Marcus Visionary - The Need In Me DJ Trace - Sonar (Mark System Revision) J Plates x DJ Paradise - Dance Tonight Kemal - Animation (Silent Extent Remix) Kuttin Edge - 7 Stars OZ - Go Monika - Back to the Studio Ziz - Sigma Array Ritual & Polaris - Cascade Marcus Visionary - It's Energy dBridge - Inner Disbelief S.P.Y - Breathing Underwater Marcus Intalex, Jubei - Lubbly Jubbly RISC - Past Due Bungle - Asymmetric Molecular, Carasel - The Funk Out M-Zine - Obverse Molecular - Culture Medok - Melting Pot Noisia, The Upbeats - Shibuya Pet Store Malux - Extraction NC-17, Dauntless - Microchip Convention Atlantic Connection - Fidget (A-Audio Remix) Singular Mind - Stand By Me Polaris - All I Need Command Strange and Surreal - Sundown Monika - Call It Done Tyke, Prestige - The Tao Craze - Go Go Hugh Hardie, Blocksberg, Unglued, Azotix - Make It Right Makoto, MC Conrad - Golden Girl Hoax - Right Now Jayjax - Boddicker Doktor, Flava D, Unglued - This Is A Roller M8 Sub Focus, Katy B - Push The Tempo (K Motionz Extended Mix) Serum, Voltage - Satan's Alley Rider Shafique, Grove, OKO UK - Been Busy Speaker Louis, G-Class - Run It Red SiLi - TRONCE (VIP) Trex - What We Wear Clearance - Cork (Crystal Clear Remix) Logan_olm, The Sauce - We Run Things Hoax - Goose Chase L-Side - So Ruff A Sides - Chances Dynamic Stab - Contrast Shower SpectraSoul - Always (Flava D Remix) Joel Sevin - Set Me Free Broma - I Remember Bungle - Daylight nCamargo - Somebody Is Here Sorza - Does it hurt me (Rueben Remix) Netsky - Remember Anais, Hunjiya - bringmedown

In this deeply meaningful episode of Interviews with Innocence, we welcome Brooke Grove—a complex trauma survivor-thriver, near-death experiencer, former psychotherapist, author, and multidisciplinary integrative healer working in co-creation with Spirit. Brooke's journey bridges both the scientific and spiritual worlds. With advanced degrees in Clinical Psychology, Marital and Family Therapy, and Clinical Art Therapy, she spent years working within traditional psychotherapy before being called into a more expansive path of healing that integrates consciousness, energy medicine, and spiritual guidance. Her work today draws from an extraordinary range of training and experience, including Shamanic Energy Medicine, Quantum Fieldwork, Transpersonal Neuroscience, trauma-informed psychedelic therapy, and psychedelic-assisted integration. Through this multidimensional approach, Brooke helps people explore, transmute, and transform deeply rooted emotional and energetic patterns. During our conversation, Brooke shares how profound life experiences—including trauma and a near-death experience—expanded her understanding of consciousness and opened the door to a deeper partnership with Spirit in her healing work. We also explore the emerging field of psychedelic-assisted healing and the importance of ethical guidance, integration, and spiritual awareness when navigating expanded states of consciousness. In a very personal moment during the episode, I share how Brooke supported me during the passing of my beloved labradoodle, Daisy. Her compassion, presence, and spiritual perspective brought comfort during a tender and emotional time, reminding me that healing and connection often appear when we need them most. This episode is a beautiful exploration of resilience, spiritual awakening, and the ways we can transform life's most challenging moments into opportunities for growth, compassion, and deeper connection. Brooke's upcoming memoir, The Beauty in the Broken Glass, shares her powerful story of trauma, transcendence, and the journey toward healing and light.

Today, we are joined by Felipe Gomez, a keynote pianist and business leader. His powerful keynotes provide an immersive and multi-sensory experience, inspiring organizations to unleash individual and collective virtuosity. Using his piano to highlight poignant topics, Felipe and Mike discuss the power of music, how to create tension and release in leadership, and how to incorporate musical principles into your personal and professional life.   Step beyond the ordinary at Caribe Royale Orlando, where Color Outside the Lines isn't just a tagline—it's a way of doing meetings differently. This AAA Four Diamond all-suite resort offers 1,337 contemporary suites and villas, 260,000 sq. ft. of versatile meeting space, and flexible outdoor venues like The Grove. Dining highlights include the luxurious Venetian Chop House and interactive Stadium Club®, blending elevated cuisine with unforgettable group experiences. Every detail is designed to inspire creativity, spark connection, and elevate your meetings to extraordinary.

After a stroke and kidney failure diagnosis, Drew Grove decided it was time to change his life. Returning to UW-Green Bay at 38, he pursued a psychology degree while balancing family, health challenges, and a drive to prove to himself he could succeed. Drew joins the podcast to talk about second chances, mentorship, burnout, and the powerful “aha” moments that come with learning—and helping others learn.

 Worship Pastor, John StegemertenWednesday March 11, 2026"Payday Someday" by R.G. Lee

Student Discipleship Pastor, Nick GentiliWednesday March 11, 2026 

Post‑Leverkusen (A) UCL R16 L1 / Pre‑Everton (H)Hotel Rooms, Red Bulls & a Ropey 1–1Recorded the morning after Arsenal's Champions League Round of 16 first leg in Leverkusen, Tabs and Mos deliver a very different episode — live from a Cologne hotel room, running on limited sleep, too much caffeine, and the emotional hangover of a frustrating 1–1 draw.We relive the entire away‑day experience: travel disasters, train strikes, last‑minute flights, Red Bull‑fuelled insomnia, and the surreal vibe of watching Arsenal in Germany for the first time. On the pitch, they break down a performance that felt flat, disjointed, and strangely passive. Saka struggled, Eze drifted, Martinelli couldn't get going, and even Saliba and Gabriel looked shaky. Tabs and Mos dig into why Arsenal never found rhythm, how Leverkusen controlled phases without creating much, and why Odegaard's absence left a glaring “O‑zone” hole in midfield.There were positives: Noni Madueke's impact off the bench, Havertz's ice‑cold penalty, and the fact that Arsenal leave Germany level — a result that looks a lot better when compared to the other English clubs' first‑leg disasters.The episode wraps with a look ahead to Everton at home: the lineup questions, the fitness concerns, and why Arsenal need to snap back into gear quickly with the season entering its decisive stretch.Key Talking PointsChaos in Cologne: travel nightmares, caffeine overdoses, and hotel‑room podcastingThe BayArena experience: friendly staff, easy access, and a strange “friendly‑match” vibe early onSaka's off‑day, Eze's nonchalance, Martinelli's struggles, and an off defensive displayNoni Madueke's directness vs Saka's stop‑start styleHavertz's penalty narrative and composureLeverkusen's control vs Arsenal's lack of intensityThe away‑end infighting and negativityChampions League context: a draw that might age wellEverton preview: selection dilemmas, fatigue, and the need to resetFollow, rate, and subscribe on your favourite podcast app.Find us on socials: @thegroveafcThis is The Grove, and everyone is welcome. COME ON YOU GUNNERS!----Follow, rate, and subscribe to The Grove Podcast on Spotify, Apple Podcasts, and YouTube @thegroveafcFind us on BlueSky, Threads, TikTok, Instagram and YouTube: @thegroveafcEmail us here: thegrovepodcast@outlook.com

On this episode of Agency Nation Radio, we meet Marissa Winkelman, managing partner of Webb + Winkelman in Grove, Oklahoma. Winkelman entered the insurance industry in 2012 as a receptionist at Webb Insurance and quickly realized the role wasn't the right fit. After transitioning to a back-office position, she focused on learning the business and working her way up. By 2023, Winkelman became a managing partner of the rebranded Webb + Winkelman Insurance Company, aiming to build a culture where women can thrive. Two years later, she earned the Outstanding Female Agency Principal honor in the Liberty Mutual 2025 Agent for the Future Awards. “I'm hoping to change the standard for working moms in our industry,” Winkelman says. “That's really the goal in an industry that used to be so male-led and male-centered.” Throughout the episode, Winkelman discusses her agency's maternity program, what they have planned for Women's History Month and how they give back to their community. Agency Nation Radio is where insurance professionals turn on the mic and share unscripted stories about leadership, technology, marketing, success and failure—stories that helped make them the professionals they are today. From Main Street USA to the pages of Independent Agent magazine—we've got the stories you want to hear. For more, catch Agency Nation Radio on your favorite streaming platform or visit iamagazine.com/podcasts. Winkelman was also featured in the March issue of Independent Agent. Check out her interview or read the full issue online.

In this episode, we talk about how the Mayan hieroglyph code was cracked by archaeologists and linguists, and why it took such a long time.WARNING: This episode of The Raven's Grove features the following Triggers:Blood & Gore mentionsSelf-harm mentionsHuman sacrifice mentionsNazi mentionsSoviet mentionsFascism mentionsCommunism mentionsBullying mentionsDeath mentionsSo, if any of those are an issue for you, PLEASE GIVE THIS EPISODE A MISS.

Chris Stanley is escaping the law, but we have KP Burke filling in for our big EXCLUSIVE interview with Baphomet. On this first stop of his PR tour, we get in to morality, ancient religions, being fashionable as a goat man, life on the Island and in the Grove, capitalism, and so much more!Air Date 3/5/26 DON'T FORGET TO WATCH FAGA'S NEW SPECIAL "BURN AFTER SAYING" ON THE HSR YOUTUBE PAGE! ⁠⁠https://www.youtube.com/watch?v=TxIHJU2LotU⁠⁠ Support Our Sponsors! Body Brain Coffee: https://bodybraincoffee.com/ - Grab A Bag of Body Brain Coffee with Promo Code HSR20 to get 20% off! YoKratom - https://yokratom.com/3rd Mic Harrington: https://3rdmicharrington.com/ High Society Radio is 2 native New Yorkers who started from the bottom and didn't raise up much. That's not the point, if you enjoy a sideways view on technology, current events, or just an in depth analysis of action movies from 2006 this is the show for you.Chris Stanley is the on air producer for Bennington on Sirius XM.Chris Faga is a lifelong street urchin, a former head chef, county comitteman and supposed comedian. Twitter: https://twitter.com/ChrisFromBklyn Instagram: https://www.instagram.com/chrisfrombklyn Engineer: Dom Executive Producer: Jorge See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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

You're not calm — you're bracing.If “I'm fine” is your default but your jaw is tight, your breath is shallow, and your body never fully relaxes, this episode is for you.In this episode of Gettin' in the Grove, we're talking about the hidden cost of performing calm. So many women look composed on the outside while their nervous systems are stuck in quiet over-control on the inside. If you've ever been called the calm one, the easy one, or the one who always holds it together, but your body feels tense, tired, and constantly “on,” this conversation will hit home.We break down what performing calm actually is, how to recognize the body signs of bracing, why this pattern makes so much sense, and what you can do in the moment to soften the pressure.Inside this episode:the difference between calm and compression3 signs you're performing calm instead of actually feeling safewhy this pattern often forms around connection, conflict, and self-protectiona simple 60-second reset using tongue softening and a 4/6 breaththe next step if you're ready to stop living in hidden tension and over-controlIf you're done white-knuckling your way through stress, this episode is your invitation to go deeper.Ready to stop carrying pressure in your body? Grab the $97 Pressure Release Toolkit.Also mentioned in this episode: the Unclench Quiz and the FREE Unclench Club.

Did you know that there was an amusement park and hotel resort in Lawrence Park at the turn of the 20th century?  We found out all about the The Stories of Grove House Park and Four Mile Creek Park with author Christine Lorraine Morgan and President of the Lawrence Park Historical Society Anna Mae Van Dyne,

She shot her husband five times in the face and never spoke another word. Today, we're unpacking the shocking twists of The Silent Patient by Alex Michaelides!Join Uncle AK, TZ, Barbara, and Nora on the Stick in the Middle (SITM) podcast as we go full spoiler mode into one of the most talked-about psychological thrillers. We discuss the deeply unreliable narration of Theo Faber, the symbolism behind Alicia's silence and her final painting "Alcestis," the questionable ethics of Christian at The Grove, and of course, that jaw-dropping timeline twist. Whether you read it in one sitting or are just looking to make sense of the ending, grab a drink and join the debate.Timestamps- Intro, Setup & Spoiler Warning - First Reactions & Reading Experience - Characters, Trust & Unreliable Narration - The Grove & Christian's Ethics - The Dual Timeline & The Twist - Who is to Blame for Gabriel? - Final Ratings (Out of 10) - Next Book Reveal (Year of Yes) & OutroDon't forget to like, subscribe, and drop your book rating out of 10 in the comments below!_______Panel: @uncleak_⁠⁠⁠⁠⁠ ⁠⁠⁠⁠ ⁠⁠⁠⁠|⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@barbie_taku⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠| ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@terez_of_the_most_high ⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠| @NoraKong **************************************** Email: palmwinecentral@gmail.com | sitmpodcast237@gmail.com | Website: www.sitmpodcast.com | Instagram & Twitter: @pwccast  @SitMPplatform ​

Why is it so easy to see the flaws in other people and so hard to see them in ourselves? In Matthew 7, Jesus exposes a hidden pattern in our relationships that quietly puts us in a role we were never meant to play.

With the chasm behind them and their goal almost in sight, Oisin and his weary kin make camp in the shadow of the Dark Woods. But rest offers no refuge. The Rot twists memories, turning comfort into torment, and old wounds bleed anew and ghosts of the past begin to walk the forest. As the corruption spreads and tensions rise, can they hold together long enough to face what lies ahead?Would you be so kind as to leave a review/comment/thumbs up wherever you're listening to the show!Join our ⁠Discord⁠ for more shenanigans, content and meet others in the D8Dungeon community  - ⁠Linktree⁠CastDungeon Master -⁠ ⁠⁠Declan⁠⁠Oisin Meadowmoon - ⁠⁠Apollo⁠⁠Old Screech - ⁠⁠Nuno⁠⁠Cosain Foxglove - ⁠⁠Dread ⁠⁠Bréagan - ⁠⁠Dylan⁠⁠Title Card Art by ⁠DeclanCheck out Romancing the Dungeon on Spotify

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Senior Pastor, Clint Pressley Wednesday, March 4, 2026"Sinners In The Hands Of An Angry God" by Jonathan Edwards  

 Discipleship Pastor, Dr. Blake MaxwellWednesday, March 4, 2026

In this episode of The Grove Podcast, Shelley Gigilo sits down with her friend and longtime Grove girl, Jennie Lusko. Jennie Lusko is a best-selling author, podcast host, wife, mom of five, and she pastors Fresh Life Church alongside her husband, Levi. Shelley and Jennie have a heartfelt conversation about becoming the women God designed us to be.  Together they reflect on the surprising ways God prepares us for our callings long before we understand them, and how flourishing often comes through seasons of difficulty, perseverance, and small acts of obedience. Jennie shares candidly about marriage, motherhood, loss, and the slow, steady growth that happens when we plant ourselves in community. Shelley offers wisdom on practicing obedience, cultivating awareness, and fighting the good fight of faith — even when we don't feel it. Their conversation is full of encouragement for women who are in the in-between seasons, waiting for fruit, longing for clarity, or navigating the tensions of real life. It's a reminder that God is faithful in every step, and that we flourish best when we walk together. The Grove is an extension of all God is doing at Passion City Church in Atlanta, Georgia. To learn more, follow us on Instagram @pcc_thegrove or visit thegroveonline.com to get connected. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

A new MP3 sermon from Alpha and Omega Ministries is now available on SermonAudio with the following details: Title: More from the Salt Lake Debate, then, Joseph Smith's Sermon in the Grove Subtitle: The Dividing Line 2026 Speaker: Dr. James White Broadcaster: Alpha and Omega Ministries Event: Podcast Date: 3/3/2026 Length: 63 min.

Continued listening to the Jacob Hansen/Joe Heschmeyer debate, this time starting Joe's examination of Jacob. Then transitioned into a review of the final major sermon of Joseph Smith, delivered only 11 days before his death in 1844, the "Sermon in the Grove" on the plurality of gods.

Jeff Latture serves as Executive Vice President at Barnhart Crane and Rigging and as chairman of Strategic Resource Group, but his journey into collaborative generosity began long before boardrooms and grant strategies. Growing up in Arkansas, he watched his parents come to genuine faith, yet it was later in Dallas through a vibrant church community and a pivotal sermon from Bill Bright, that his faith became personal. A simple conversation with his future wife about missions planted an early vision: if they could not go, perhaps they could send. God reshaped that vision when He closed the door to starting their own business and instead led Jeff to Barnhart, a company committed to investing its profits in the Great Commission. Over three decades, Jeff has helped cultivate GROVE, Barnhart's internal collaborative giving team, and advance a mutual fund model of ministry through the Strategic Resource Group. He has learned that wise generosity requires shared mission, deep relationships, patient trust, and a willingness to surrender control. Collaborative structures, clear strategy, and long-term partnerships have multiplied Kingdom impact across frontier regions. This conversation offers a thoughtful vision for pursuing obedience, discernment, and deeper partnership in your own stewardship journey. Major Topics Include: Give collaboratively, not independently Build trust through long-term relationships Shifting from transactions to partnerships Organize giving around focused teams Leveraging business wisdom for Kingdom impact Investing in ministry capacity and health How to balance metrics with Spirit-led discernment Surrendering control in stewardship QUOTES TO REMEMBER “What I really wanted in starting a business was to be in control. And God wasn't going to let me have that.” “He said, I'll let you serve the ones in control, but I'm not going to let you be the ultimate steward.” “We would never have thought ever that we would have the viewpoint that we have for what God's doing around the world. But it just started one relationship and one gift at a time.” “Giving together is way better than trying to do it on your own.” “You just learn faster in a group than you can by yourself.” “It's our secret sauce is doing things together and getting the thinking of many people pointing the same direction.” “A good collaborative will cost you something. You have to give up some rights for a collaborative to work.” “Knowing the heart of the leader is the most important thing.” “It's very relational. We like to measure things. We're a bunch of engineers. But it's really the relationships that drive us.” “If we'll go to God first and really lean in to listening to what Scripture says and what the Holy Spirit is saying before we make those funding decisions, somehow it comes out with a better result.” “My personal experience over 30 years, He will do far more than you can ever imagine with the things that He's given you.” LINKS FROM THE SHOW Alan Barnhart (see our past interview here) When Helping Hurts (see our interview with coauthor Brian Fikkert) Mission Increase Strategic Resource Group The India Alliance IllumiNations Bible Translation Alliance (see our interview with Todd Peterson or John Chesnut) MacLellan Foundation (see our interview with Director of Generosity, John Cortines) Mergon Doug Cobb, Founder of The Finishing Fund (see our past interview here) Achieve Alliance BIBLE REFERENCES FROM THE SHOW Matthew 28:19–20 | The Great Commission “Go therefore and make disciples of all nations, baptizing them in the name of the Father and of the Son and of the Holy Spirit, teaching them to observe all that I have commanded you. And behold, I am with you always, to the end of the age.” Esther 4:14 | For Such a Time as This “For if you keep silent at this time, relief and deliverance will rise for the Jews from another place, but you and your father's house will perish. And who knows whether you have not come to the kingdom for such a time as this?” TAKE A STEP DEEPER On the Finish Line podcast, we are all about stories, seeing how God draws us into generosity over a lifetime.  But sometimes these stories can leave us thinking, “What's that next step look like for me?” That's exactly why we've launched a whole new podcast called Applied Generosity which explores the full landscape of the generous life across 7 different dimensions of generosity.  Applied Generosity helps make sense of the hundreds of stories we've shared on the Finish Line Podcast to help you find that best next step. If you've been inspired by these stories and want to take things to the next level, check out Applied Generosity anywhere you listen to podcasts or at appliedgenerosity.com.

Exodus 20:17; 1Timothy 6: 6-10; James 4: 1-4Senior Pastor, Clint PressleySunday, March 1, 2026 

A giant mushroom and a fetid feast - how did Nikoli plan to fit these into our adaptation of Out of the Abyss?   We present ARCHIVE! A companion series where Nikoli & Amy sit down and discuss the DM notes for each episode of Abyss as it happens. This will include recaps of the previous Abyss episode, Nikoli's outline for the next episode and some details of how this compares to what the source material originally planned. Hopefully Archive will satisfy the "behind the scenes" cravings we know some fans have for our DM notes and reasoning behind what we changed and why.   Original episode: https://www.penancerpg.com/shows/abyss10Final/ Originally, only one episode of Archive was on Libsyn, with the rest released each week to our $3+ Patreon supporters. If you enjoy it, consider joining our Patreon! Learn more at Penancerpg.com Support us on Ko fi and Patreon Come talk with us on Twitter, Facebook or Instagram Visit our Teespring store Listen on Google Play, Libsyn, Stitcher, Youtube, Podchaser, Podcast Addict Affiliates: @DnDiceUK 10% @GemhammerGaming 20% Use "Penancerpg" at checkout for % off your order at DnDice.co.uk & https://shop.gemhammer.com?ref:penancerpg

Worry feels normal, almost responsible. But when Jesus asks, “Why do you worry?” it sounds out of touch… unless He knows something we don't. This message exposes worry as misplaced trust and invites you into a freer way to live under God's care.

Fluent Fiction - Japanese: Blossoms of Friendship: Finding Hope in Kyoto's Bamboo Grove Find the full episode transcript, vocabulary words, and more:fluentfiction.com/ja/episode/2026-03-01-23-34-02-ja Story Transcript:Ja: 竹林は静かだった。En: The takeyabu was quiet.Ja: 優雅な竹がそよ風に揺れ、早春の陽射しが青々とした地面に光を落としていた。En: The elegant bamboo swayed in the gentle breeze, and the early spring sunlight cast its rays on the lush green ground.Ja: 京都の嵐山竹林は、まるで別世界のようである。En: The Kyoto Arashiyama bamboo grove felt like another world.Ja: そこに、プラム色の桜の花が静かに咲いていた。En: There, plum-colored cherry blossoms bloomed quietly.Ja: ハルトは絵を描くためのインスピレーションを探していた。En: Haruto was searching for inspiration for his paintings.Ja: 彼はスケッチブックを持って竹林を歩いたが、自信がなくて、何を描けばいいかわからなかった。En: He walked through the bamboo grove with his sketchbook in hand, but, lacking confidence, he didn't know what to draw.Ja: ハルトは新しい友達を作ることに不安を感じていたし、今はただ一人になりたかった。En: Haruto felt anxious about making new friends and just wanted to be alone at the moment.Ja: そのとき、ハルトは女の子に出会った。En: That's when Haruto met a girl.Ja: ミユキという名前の明るい笑顔の学生だった。En: Her name was Miyuki, a student with a bright smile.Ja: 彼女はカメラを持って、桜の写真を熱心に撮っていた。En: She was enthusiastically taking photos of the cherry blossoms with her camera.Ja: しかし、彼女のカメラが突然故障した。En: However, her camera suddenly broke down.Ja: 「どうしよう…」とミユキは呟いた。En: "What should I do..." Miyuki murmured.Ja: その言葉を聞いて、ハルトは勇気を出して声をかけた。En: Hearing those words, Haruto summoned his courage and spoke up.Ja: 「手伝いましょうか？En: "Can I help?"Ja: 」ハルトの申し出にミユキは驚いたが、嬉しそうに微笑んだ。En: Haruto's offer surprised Miyuki, but she smiled happily.Ja: 二人は一緒にカメラを見て、色々と話しながらカメラを直そうとした。En: Together, they examined the camera, trying to fix it while chatting.Ja: 不思議なことに、ハルトはミユキと話していると緊張がほぐれていくのを感じた。En: Strangely enough, Haruto felt his tension ease as he talked with Miyuki.Ja: その後、ミユキはカメラを一旦下ろし、ハルトと一緒に竹林や桜をじっくりと見つめた。En: Afterwards, Miyuki set her camera aside and quietly gazed at the bamboo grove and cherry blossoms with Haruto.Ja: 「竹林は素晴らしいですね」とミユキが言った。En: "The bamboo grove is amazing," Miyuki said.Ja: 「この美しい瞬間をただ感じるのもいいですね。En: "Sometimes it's nice to just feel the beauty of this moment."Ja: 」ハルトは頷き、ミユキの言葉に励まされた。En: Haruto nodded, encouraged by Miyuki's words.Ja: 彼らは桜の下でじっくりと話をし、互いに世界の美しさを共有した。En: They talked under the cherry blossoms, sharing the beauty of the world with each other.Ja: 一瞬一瞬が大切だということを二人は感じた。En: They both realized that every moment is precious.Ja: 「また、一緒にここに来ましょう」とミユキが提案した。En: "Let's come here together again," Miyuki suggested.Ja: ハルトは微笑んで頷き、スケッチブックを広げた。En: Haruto smiled and nodded, opening his sketchbook.Ja: ミユキが隣にいてくれて、彼は新しい絵のインスピレーションを感じた。En: With Miyuki by his side, he felt inspired for a new drawing.Ja: 桜の花と竹の中で、新しい友情と可能性が芽生えた。En: Amidst the cherry blossoms and bamboo, a new friendship and possibilities began to sprout.Ja: ハルトは今、より自信を持って、絵を通じて人々と繋がることができるような気がした。En: Haruto now felt more confident, feeling like he could connect with others through his art.Ja: ミユキもまた、レンズを超えて瞬間を生き生きと捉えることの意味を学んだ。En: Miyuki also learned the value of capturing moments vividly beyond the lens.Ja: 桜の下、二人はそっと微笑み合い、新しい旅の始まりを感じながら穏やかにその場を離れた。En: Under the cherry blossoms, they smiled gently at each other, feeling the beginning of a new journey as they quietly left the place. Vocabulary Words:breeze: そよ風elegant: 優雅lush: 青々としたgrove: 竹林rays: 光plum-colored: プラム色inspiration: インスピレーションanxious: 不安enthusiastically: 熱心にmurmured: 呟いたsummoned: 出してcourage: 勇気examined: 見てtension: 緊張ease: ほぐれていくencouraged: 励まされたprecious: 大切suggested: 提案したamidst: 中でsprout: 芽生えたfriendship: 友情journey: 旅capture: 捉えるvividly: 生き生きとpossibilities: 可能性felt: 感じたquietly: 静かにstudent: 学生examined: 見てdiscouraged: 自信がなくて

In Season 2, Episode 4, Rizz and Tim step into one of the most infamous locations in modern conspiracy culture: Bohemian Grove — the secluded Northern California retreat long rumored to host secret meetings of the world's most powerful men.Often dismissed as pure conspiracy or exaggerated folklore, Bohemian Grove turns out to be far more complicated — and historically significant — than most people realize. From its origins as a private club for influential figures to its strict culture of secrecy, ritual, and symbolism, this episode examines who actually attends, what happens behind the gates, and why the Grove has fascinated critics and skeptics for decades. By separating documented history from speculation, Stupiracy explores how power, privacy, and myth intersect — and how one of the most consequential moments of the 20th century may have quietly taken shape far from public view.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In Season 2, Episode 4, Rizz and Tim step into one of the most infamous locations in modern conspiracy culture: Bohemian Grove — the secluded Northern California retreat long rumored to host secret meetings of the world's most powerful men.Often dismissed as pure conspiracy or exaggerated folklore, Bohemian Grove turns out to be far more complicated — and historically significant — than most people realize. From its origins as a private club for influential figures to its strict culture of secrecy, ritual, and symbolism, this episode examines who actually attends, what happens behind the gates, and why the Grove has fascinated critics and skeptics for decades. By separating documented history from speculation, Stupiracy explores how power, privacy, and myth intersect — and how one of the most consequential moments of the 20th century may have quietly taken shape far from public view.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

The Alan Cox ShowSee omnystudio.com/listener for privacy information.

The Alan Cox Show

The UNBELIEVABLE Truth About Bohemian GroveBecome a supporter of this podcast: https://www.spreaker.com/podcast/missing-persons-mysteries--5624803/support.

 Senior Pastor, Clint PressleyWednesday, February 25, 2026

 HGCS Head of School, Dr. Jimmie QuesinberryWednesday, February 25, 2026

ALSO: Bill to Ban Cell Phones in Schools Awaits Governor's Signature... Another Step Toward Luring Chicago Bears to IndianaSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

ALSO: Traffic Stop Leads to Meth Arrests in Steuben County... Indy Car Racer Visits Peyton Manning Children's HospitalSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

…ON TODAYS PROGRAM…   FERNANDO AND THE HONDA CURSE, LAWRENCE STROLL SELLS ASTON MARTIN NAMING RIGHTS FOR 50 MILLION POUNDS. FERRARI ON THE OTHER HAND SHOW OFF NEW SPINNING REAR WING AND, LOOK VERY COMPETITIVE ! MCLAREN AND MERCEDES ARE NOT FAR BEHIND… RED BULL IS STILL A QUESTION MARK?…AND FERNANDO WILL NEED HIS CAMPING CHAIR AS THE GP2 ENGINE THAT FAILED HIM AT MCLAREN, THAT WENT KABLAMO IN THE INDY 500 AND LOOKS TO HAUNT ALONSO FOR ANOTHER LONG SEASON!! STAY TUNED FOR SOME GREAT ONE LINERS FROM MACHISMO… THIS WEEK'S NASIR HAMEED CORNER…MORE VINTAGE BANTER BETWEEN THE HOST AND NASIR…THIS WEEKS SPECIAL GUEST: MARCUS ERICSSON, MARTIN BRUNDLE, AND MIKI MONRAS DE ESPANA…! Indianapolis 500 Veteran Hucul Dies at 79   INDIANAPOLIS (Friday, Feb. 20, 2026) – Canadian driver Cliff Hucul, a veteran of three Indianapolis 500 starts in the late 1970s, died Feb. 17 on his farm in his native Prince George, British Columbia. He was 79. Hucul made three consecutive starts in “The Greatest Spectacle in Racing” from 1977-79. His best finish came as a rookie in 1977, 22nd in the No. 29 Team Canada McLaren/Offenhauser that Hucul bought after Johnny Rutherford drove it to victory in the 1976 “500.” Hucul completed 72 laps before being sidelined by gearbox problems. He qualified on Bump Day for that race despite touching the wall in practice the previous day and suffering two engine failures during the Month of May, a significant pitfall for his low-budget team. Hucul's best qualifying spot was 18th in 1979, his final “500” start. The small-town driver from northern British Columbia learned his craft by racing stock cars and modified sprint cars at local tracks. He then began racing modifieds and supermodifieds in the Pacific Northwest against drivers that included eventual Indianapolis 500 winner and INDYCAR SERIES champion Tom Sneva and his brother Jerry Sneva. Hucul made 24 total USAC and CART starts between 1977-81, with eight top-10 finishes. Hucul's best finish in the standings was 11th in 1979, when he started the season by placing fifth at Ontario Motor Speedway and a career-best fourth at Texas World Speedway. In 1996, Hucul became a paraplegic after an automobile accident when crossing black ice on a highway in British Columbia. Despite being confined to a wheelchair, Hucul remained active, managing his farm and mentoring many drivers in the area. He was inducted into the Prince George Sports Hall of Fame for his lifetime contributions to auto racing. Hucul is survived by his son, Kelly, and daughter-in-law, Sylvie; daughter, Michele, and many grandchildren. 2026 BAHRAIN TESTING - WEEK 1, DAY 3 MAX VERSTAPPEN “Looking at the test overall, the Team got in a good number of laps on the first day so we were happy with that. We completed a lot of things that we wanted to test with the new Power Unit and the car in general. Today it was a continuation of that plus also trying to explore a little bit more with the car; you go through so many test items that it continues to change and evolve with everything that you are testing. In general, it is all so new that we are still learning a lot, but the car was good. We also have new tyres, so we spent some time looking at different sets and understanding what we need to improve and be better at. With the power unit, looking at the laps we got on the board, the start that we have had is good. That's exactly what we wanted to do and it was not a given. Whether it will be enough to win races, we don't know, we will just focus on ourselves and try to do the best we can, but there is still massive room for improvement. Finally, with the car, we learnt a lot about what worked and what didn't. Our runs also gave us even more ideas for the afternoon with Isack and then for next week, where we can continue to try new things and different set ups.” ISACK HADJAR “The first week here in Bahrain has gone well. Of course, I had to wait a little before getting in the car after Barcelona, but once I did, we were able to put it to the test and really work through what we need ahead of next week and Melbourne. There are so many things to look at, but we're staying on track with our programme so far. True performance and pace are always hard to judge in pre-season, but we can be happy with the reliability we've had from the power unit this week. There are still things to work on in terms of balance and tyre management, but that's completely normal for this time of year. We're working through it together as a Team to get where we want to be for Australia. I've known the people here for a while now, but it's great to be working with them again in an environment like this." ASTON MARTIN The Aston Martin Aramco Formula One™ Team concluded its testing programme at the Bahrain International Circuit today, with Lance Stroll returning to the cockpit of the AMR26 for the final time before the Australian Grand Prix. Lance did not get on track until late in the morning session due to a battery-related issue that had impacted Fernando's running yesterday. Honda carried out simulations on the test bench at HRC Sakura before the car returned to the track. Due to a shortage of power unit parts, the run plan was very limited and consisted only of short stints. Lance Stroll “It's been a challenging couple of weeks here in Bahrain, and today's limited running wasn't the way we wanted to finish the second test. It's clear the car isn't where we want it to be performance-wise, and we know there's a lot of work ahead in the coming weeks and months. There's a long season ahead, and we'll keep pushing flat out to unlock more performance. I want to say a big thank you to everyone trackside and back at the AMRTC for the work that's gone in so far. It's not where we want to be right now, but I know how determined this team is. We'll stick together, rise to the challenge and keep working until we deliver the performance we are looking for.” WILLIAMS F1 2026 Bahrain pre-season testing – Day 3 James Vowles, Team Principal: Another solid day of running and mileage. It's great to see that across the last six days of testing, we've been predominantly tyre and time limited, and able to complete the full programme that we wanted. That's just a testament to the hard work of the teams, both here and in Grove, making sure that we made up for lost time. 
 No one truly knows where all the performance lies. That's what Melbourne is all about, so I can't wait to go there, to gain a further understanding of where we are. What I know for sure, though, is we have work to do. There's no doubt about it. We've put ourselves on the back foot. But my assurance to everyone is that we have an aggressive programme lining up in front of us in order to make sure that we extract as much performance in this car as possible over the forthcoming months. Carlos Sainz: The past six days of testing in Bahrain has been one of the most interesting and challenging tests that I've been part of, given the new regulations and number of things we had to learn. The progress from day one has been significant, although there are still going to be things to understand and solve at the start of the season. We go into the first half of the year with lower expectations than 2025 knowing that we'll be starting slightly on the back foot. However, I'm really looking forward to getting started and focusing on improving the cars through the year to become more competitive. Bring on Melbourne! Alex Albon: It's been a relatively smooth test here in Bahrain. We got some good mileage under our belts and tested everything we wanted to get out of the car, so I'm feeling more ready for Melbourne. There's still a lot we need to understand and plenty of performance left on the table that we need to extract, but I'm glad the tests went to plan. It's now all about maximising the next few days to prepare for the first race of the year! THIS WEEK'S INTERVIEW WITH MIKI MONRAS... Miki Monrás on battling Bottas and Ricciardo in the late 2000s and the rising cost of junior racing In the late 2000s, Miki Monrás was one of Spain's brightest prospects on the junior single-seater ladder, trading blows with the likes of Daniel Ricciardo, Valtteri Bottas and António Félix da Costa in Formula Renault and GP3. But while his rivals pushed on towards F1 or careers in GTs, the Spaniard's single-seater journey came to an abrupt halt in 2011. Feeder Series caught up with Monrás to reflect on the times he rubbed shoulders with greatness, the challenges of racing in the post–financial crisis era, and life beyond motorsport. By Anabelle Bremner Back in the noughties, the path from karting to Formula 1 looked nothing like it does today. There was no standardised Formula 4, no carefully managed ladder – just a patchwork of championships that rewarded those brave enough, and wealthy enough, to dive straight in. Eurocup Formula Renault 2.0 was as deep as it got: 40-car grids stacked with future stars, the proving ground where Pierre Gasly, Nyck de Vries and Lando Norris would come to cut their teeth. But before all of them, it was Monrás in the thick of it. He made his single-seater debut in late 2007, the result of years spent chasing speed. His first taste of racing, in fact, came on two wheels – on a motocross bike, inspired by his father, who had raced professionally in Spain and Europe. At the age of eight, Monrás joined a motocross camp, and it wasn't long before karting came calling. “After the first race, I really enjoyed it,” he recalls. “I remember it was Christmastime and I asked for a motocross scooter and for a go-kart. So I finally got the go-kart, and that's the way I started. Then I started racing in Catalonia, and I just moved through Spain and Europe and all the world championships until formula.” Single-seater racing, however, would prove a unique beast. Shortly before turning 16, Monrás moved straight from karting into Formula Renault 2.0, in which the competition was fierce. “Normally at that age you'd go before to a category not straight to 2.0,” he said. “My first year I was racing with Bottas, I was racing with Ricciardo, I was racing with [Andrea] Caldarelli – really good drivers.… I was racing against people that were already racing for two years in single-seaters. That was a big difference.”His first Eurocup campaign, in 2008, proved a challenging one. He was scoreless for his first five rounds with the Hitech Junior Team (no relation to the current Hitech) before a switch to SG Formula brought him six points in the final two rounds. Valtteri Bottas, then of Motopark Academy, went on to claim that year's title after a close fight involving Ricciardo, Caldarelli and Roberto Merhi. The next year brought Monrás a decidedly better season and three podiums with SG Formula, owned by Mercedes Junior Team advisor Stéphane Guerin. He wound up fifth overall in a season dominated by a fierce three-way fight between Félix da Costa, Jean-Éric Vergne and Albert Costa – the last of whom ultimately took the title. Racing against so much talent at such a young age left Monrás with plenty of perspective on what might have been. “Ricciardo was my teammate. Jean-Éric Vergne was my teammate. I raced with Da Costa, Bottas, with Magnussen, so many people that have been racing each other and winning races,” he said. “[I] think if I changed something at that point, maybe I would be in Formula 1, but who knows. Maybe yes, maybe no. “But at that time, it was really difficult times because it was 2010, '11, '12, where there was also a big crisis in the world, especially in Europe. It was really difficult for Spanish drivers to get the sponsors and the money to race.” The financial squeeze triggered by the 2008 global financial crisis left Monrás and many of his peers in a precarious position. Several teams, such as SG Formula, shut their doors in the wake of the crisis amidst an already shifting landscape in junior racing. “It's been changing a lot from that time until now. When I was racing Eurocup 2.0, one time we were like 48 drivers, I remember. 2008 at Spa. It was a massive level and so many drivers wanted to go in,” he said. “Eurocup was really high level, I would say maybe [comparable] to Formula 4 about the car and the lap times. “Motorsport has changed a lot in the last few years. It's more expensive. At that time, Eurocup was also expensive, but I think Formula 4 is around €700,000 more or less, maybe more now. It's quite expensive. Back then, I think Eurocup was around €300,000 or €250,000, so there was a massive difference. A lot more people could race at that time.” After two and a half years competing in various Formula Renault series, Monrás stepped up to GP3 in 2010. The inaugural season, won by eventual F1 driver Esteban Gutiérrez, came with another steep learning curve. Monrás managed two podiums and a 10th-place finish in the standings, but the step up exposed the limits of what talent alone could achieve in a field packed with hungry, well-backed drivers. “When I raced GP3, that was the first year of the championship, so it was a new championship for all of the teams. I also raced with Arden, which was a new team in the category, so it made it a bit difficult,” he said. “During testing, I remember I was flying in GP3, and then suddenly in some races there was such a huge difference with some other cars and drivers. It was difficult sometimes. … I think this is always present in motorsport in all categories. You will find some kind of differences within cars and teams. It just will always be there.” Challenging as it was, that season had its highs for Monrás. A recovery drive in Spa's characteristic rain remains a fond memory for the Spaniard. “I had a really bad qualifying because there were some yellow flags,” he explained. “Because there were 30 cars, it was easy to find yellow flags if you're waiting for the last minutes in qualifying. I finished [ninth in] race one, and in race two it started raining really heavily after five laps. I went from P10 to P3, nearly fighting for the win in the last lap against Rossi and Tambay. That was a really good race.” After a season in GP3, Monrás moved up a rung on the ladder to Formula Two. At the time, the feeder series landscape was fragmented. GP2 and Formula Renault 3.5 offered established paths to Formula 1, while the MotorSport Vision's FIA Formula Two Championship, which first ran in 2009, aimed to do the same with a more affordable package. “Formula Two at that point was very competitive, economically speaking,” Monrás said. “It was a lot cheaper to race in Formula Two than race in GP2 at that moment or 3.5 because it was like all one team. All the cars were one team with different engineers, and that made it low cost for the time. “A lot of drivers went to it because of that. They were racing in the best tracks, same as World Series and similar to GP2, and the car was competitive. Maybe not as competitive as GP2 or 3.5 because it was a bit slower, but it was really competitive and really fast, on the straight especially.”  “In that time, what they were saying was it was very equal. You had one engineer for three cars, you were sharing data with these three cars, and it was all under the same team. You can always find differences in motorsport. Maybe not a difference to make one car win and one car P15, but you can still always find two-tenths difference in similar cars, and two tenths, sometimes it's a lot of time,” he said. “The cars were on the same team, but each engineer was doing the set-up for his driver. The set-up I was using and maybe the set-up Bortolotti was using, he had won the championship maybe from our different set-ups. Every race, you changed engineers. Every weekend, you were rotating engineers so at the end of the season, everybody worked with everyone.” By 2012, the funding had dried up. Monrás was left sponsorless and unable to compete in Formula Two. He sampled GT racing in the Blancpain Endurance Series and tested with both Audi Sport and Atech GP, but no program materialised. From there, Monrás transitioned into driver coaching and team management – mostly with the AV Formula team owned by his manager, Adrian Vallés – and eventually “moved on” from motorsport around 2017. “I was working also with McLaren Automotive, but it was not motorsport. It was automotive, developing road cars, really competitive cars. After that I decided to stop because I wanted to follow a new career professionally, and I moved onto real estate which I have always been [involved with] because of my family, so that's why I decided to move over,” he said. “I now work in a real estate company which I own with some partners, and that's my day-to-day nowadays.” After years climbing the ladder in lockstep with some of the sport's future stars, Monrás has found a new rhythm – one that's decidedly less fast, but no less his own. Yet his career remains a reminder of the talent that defined an era: a Spaniard who went wheel to wheel with the likes of Ricciardo, Bottas, and Vergne, racing in some of the deepest junior grids of the 2000s and 2010s. In the story of that generation, Monrás may no longer be on track, but he's never far from the memory of it all.

 Exodus 20:16, Matthew 5:33-37Senior Pastor, Clint PressleySunday, February 22, 2026

Celebration of life for Beech Grove officer shot in the  line of duty. Hundreds of ICE protestors joined a cold, Sunday evening march on Indianapolis's north side. The Indiana House of Representatives has passed a bill allowing syringe services programs to continue five more years. Local Author Leah Johnson opened Loudmouth Books to make restricted and banned books more available. There is not enough affordable housing in Indiana. Indianapolis Metropolitan Police Department officers shot two juvenile suspects and injured another on the far eastside Saturday night. Residents of Indianapolis' Near Westside, an industry hub for over a century, have experienced higher rates of lung disease for years. The Marion County Sheriff urges state lawmakers to walk back a portion of an immigration bill. Want to go deeper on the stories you hear on WFYI News Now? Visit wfyi.org/news and follow us on social media to get comprehensive analysis and local news daily. Subscribe to WFYI News Now wherever you get your podcasts. WFYI News Now is produced by Zach Bundy, with support from News Director Sarah Neal-Estes.

All week long, you're being shaped by what you keep in front of you, what you scroll, watch, listen to, and replay in your mind. Little by little, it shapes what you believe, what you fear, and what you feel like you have to chase, so here's the real question: who's your teacher?

The 47 year-old was formally charged Friday, Feb. 20 with the following counts, according to online court records: Murder Attempted murder Criminal confinement while armed with a deadly weapon Domestic battery by means of a deadly weapon Battery by means of a deadly weapon Pointing a firearm at another See omnystudio.com/listener for privacy information.

(00:00-11:30) Hit Me Baby One More Time. No post game show for Gabe last night. Is Jackson going to get on Grove 23 today? Lisa is such a gem.(11:38-12:50) Equal time, it's the right thing to do. Playing a little catch up.(13:00-19:29) And the winner of the Design Aire Heating & Cooling EMOTD is...See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

A beautiful night last night honoring and remembering fallen Beech Grove officer Brian Elliott. See omnystudio.com/listener for privacy information.

We majorly fangirled with our guest today: please welcome Elizabeth Day to the podcast! She's a bestselling author and host of "How to Fail with Elizabeth Day" podcast, where she's turned life's fails into powerful lessons. Her latest book, "One of Us", releases next week on February 24th, which we've had the opportunity to read and it's a page turner from start to finish. But not just that, she's also a Bravo superfan and shares all of her hot takes about our favorite shows. We could have talked to her forever. We hope you enjoy this as much as we did! Come judge with us!You can find Elizabeth:Instagram: @elizabdayTikTok: @elizabdayPodcast: How to Fail with Elizabeth DayPre-order "One of Us" on www.elizabethday.orgIf you're in the LA area, on 2/26 at 7:00pm Elizabeth will be at Barnes & Noble at The Grove to discuss and sign "One of Us".You can find us:Podcast: ACast, iTunes, Spotify, wherever you listen!Instagram & Threads: @twojudgeygirlsTikTok: @marytwojudgeygirls // @courtneytjgFacebook: www.facebook.com/twojudgeygirlsMerch: www.etsy.com/shop/twojudgeygirlsPatreon: www.patreon.com/twojudgeygirls LTK: @marytwojudgeygirls // @courtneytjg Hosted on Acast. See acast.com/privacy for more information.

In this episode of The Grove Podcast, Shelley Giglio sits down with her dear friend and a long-time Grove girl, Courtney Pray Duke, to celebrate the release of Courtney's book And She Got Up : Shattered by Loss, Restored by Jesus and to trace the journey that shaped it. Courtney shares how everything changed in her life the day Andrew died in a bicycle accident — an instant that turned a bright day into “the darkest night of the soul.”With honesty and tenderness, Courtney recounts the disorienting fog of grief, the fight to keep going for her three young children, and the unexpected ways God met her in the lowest moments. From a pivotal encounter with God at Passion 2013 to the daily practice of anchoring her life in scripture, Courtney unpacks how faith can be tested in the fire — and how God's presence can become most real in the valley.Shelley and Courtney also talk about the power of community, learning to speak truth out loud, and the long obedience of writing the story down. Ultimately, this conversation is an invitation: if Jesus brought life to her story, He can bring life to yours too. And She Got Up releases on February 24, but you can pre-order your copy today. Learn more at AndSheGotUp.com and keep up with Courtney on her Instagram @CourtneyPrayDuke.The Grove is an extension of all God is doing at Passion City Church in Atlanta, Georgia. To learn more, follow us on Instagram @pcc_thegrove or visit thegroveonline.com to get connected. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Mayor Coffman calls-in to talk about how the city of Beech Grove is coming together to support the family of fallen Officer Brian Elliott. See omnystudio.com/listener for privacy information.

Chief Maurice & FOP President Rick Snyder joined us in-studio to talk about Officer Brian Elliott who was shot and killed in the line of duty Monday, 2/16. You can donate to the family here In Memory of Beech Grove Officer Brian Elliott | Central IN Police FoundationSee omnystudio.com/listener for privacy information.

33 year old Beech Grove Police Dept Officer Brian Elliott died in the line of duty last night responding to a domestic call. He dies of a gunshot wound. Another officer was shot and will recover. See omnystudio.com/listener for privacy information.

Nestled in the heart of Somers, New York, about one hour north of Manhattan, Honeybee Grove is a cozy little flower farm offering cut-your-own flowers, small events, workshops, retail pop-ups, and more. As owner Sarah Coldwell enters her fifth season, she joined me to share her story and discuss the benefits of planning a full […] The post Episode 756: Sarah Coldwell of Honeybee Grove Flower Farm – on building a destination floral enterprise on U-Pick, farmers' and makers' markets, and seasonal flower festivals appeared first on Slow Flowers Podcast with Debra Prinzing.

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