Podcasts about surprised

Date: Wednesday, March 18, 2026 Scriptures: Matthew 9:18-22 (NKJV)Speaker: Apostle Stephen A. Davis- STAY CONNECTED -https://StephenADavis.orgBishop Stephen A. Davis Instagram: https://www.instagram.com/bishopstephendavis/Bishop Stephen A. Davis Facebook: https://www.facebook.com/bishopstephenadavis/Refresh Family Church Instagram: https://www.instagram.com/RefreshFamilyChurch/Refresh Family Church Facebook: https://www.facebook.com/refreshfamilychurchVisit Our Website: https://refreshfamily.church/

Brock and Salk discuss if they are surprised by the lack of name brands the Seahawks have brought in so far and the potential price of a trade for Maxx Crosby or De'Von Achane. They then go through the No. 6 player on their most intriguing Mariners list, counting down from 10 to 1, this time highlighting Randy Arozarena. In Blue 88, Brock dives in on the increased trade activity in the NFL, the NFL flexing their officials union and how the Seahawks chase margins in a way that their peers don't.

Robert Mays joined Baskin and Phelps and shared his thoughts on the Browns' moves this off season, and why he thinks Andrew Berry completely mishandled the entire offensive line becoming free agents. He also talked about the quarterback situation and whether or not either Deshaun Watson or Shedeur Sanders could be an answer, why he thinks the Browns are likely looking to 2027 for quarterback solutions, and what he thinks the best case scenario will be for Todd Monken as the head coach.

KSTP-TV political reporter Tom Hauser joins with the highlights from Governor Walz's supplemental budget proposal unveiled yesterday and more from things happening this week in St. Paul.

If you've ever felt completely lost when it comes to dating, desire, or keeping the spark alive in a long-term relationship, you're not doing it wrong — you're just missing the conversation. Whether it's an office crush you can't read, a sexual awakening at 48 that's putting your 20-year relationship in crisis, or a partner whose needs feel totally out of sync with yours, the answer almost always comes back to the same thing: talking about it. In this episode, I'm taking live calls and listener questions on some of the messiest, most real situations in sex and relationships — and giving you the clarity to actually move forward. In this episode, you'll learn: • How to stop overthinking and finally make a move — whether it's an office crush, a first date, or reconnecting with someone from your past • What to do when your long-term partner's needs and yours no longer match up, including mismatched sex drives, resentment around morning sex, and the conversation most couples are too scared to have • How to talk to your kids about sex and bodies starting at age four — without shame, without awkwardness, and in a way that actually sticks More Dr. Emily:  • Shop With Emily! Explore Emily's favorite toys, pleasure accessories, bedroom essentials, and more — designed to support your pleasure and confidence. Free shipping on orders $99+ (some exclusions apply).5 • Interested in 1:1 Coaching with Emily? Go to sexwithemily.com/coaching to apply!  • Sex With Emily Guides: Explore pleasure, deepen connections, and enhance intimacy using these Sex With Emily downloadable guides. • The only sex book you'll ever need: Smart Sex: How to Boost Your Sex IQ and Own Your Pleasure • Want more? Visit the Sex With Emily Website • Let's get social: Instagram | X | Facebook | TikTok | Threads | YouTube • Let's text: Sign up here • Want me to slide into your email inbox? Sign Up Here for sex tips on the regular. Chapters: 0:00 - Introduction 0:55 - How to Tell If Someone's Into You 6:01 - Avoiding the Friend Zone on a First Date 9:38 - When You're Surprised by Your Partner's Body During Sex 16:20 - Should You Act on Your Partner's Fantasy? 18:55 - Resentment Around Morning Sex & Low Libido 22:35 - Sexually Frustrated in a Long-Term Relationship 26:47 - How to Talk to Your Kids About Sex Without Shame Learn more about your ad choices. Visit megaphone.fm/adchoices

Coach Jimmy Patsos, a basketball analyst for Monument Sports Network, joined Sports Talk. Coach Patsos broke down the 2026 NCAA Tournament, highlighting the McNeese Cowboys, the First Four matchups, and the top seeds in the bracket.

We had a realization mid-recording: phones are basically raising a generation and most parents aren't ready for it. In this episode, we're unpacking what your child's device habits actually reveal about their sleep, mood, and mental health, and why understanding those patterns is your new parenting superpower. We're also shifting the conversation from "no phones" to building real digital self-control because rules without awareness don't stick. We dive into how tools like Aura Parents are helping families decode their kids' digital lives, from screen pickups to offline time, so you can parent with data, not just gut instinct. If you're tired of guessing, this one's for you. Hosted on Acast. See acast.com/privacy for more information.

In this message, we look at 2 Corinthians 3:16–18 and the process of being transformed into the likeness of Christ. In a culture that values quick results and visible success, following Jesus often feels slower and more difficult than we expect. Through Paul's words, we are reminded that the Holy Spirit is actively at work in us, shaping our lives from one degree of glory to another. Even in seasons of pressure, anxiety, weakness, or grief, God meets us in the process and uses those moments to form us more deeply into the image of Christ.

Date: Sunday, March 15, 2026 Scriptures: Matthew 9:18-22 (NKJV)Speaker: Apostle Stephen A. Davis- STAY CONNECTED -https://StephenADavis.orgBishop Stephen A. Davis Instagram: https://www.instagram.com/bishopstephendavis/Bishop Stephen A. Davis Facebook: https://www.facebook.com/bishopstephenadavis/Refresh Family Church Instagram: https://www.instagram.com/RefreshFamilyChurch/Refresh Family Church Facebook: https://www.facebook.com/refreshfamilychurchVisit Our Website: https://refreshfamily.church/

Forty days. No suspect. No arrest. Cadaver dogs stood down. The DNA has dead-ended twice. And the desert keeps its secrets.This isn't pessimism — it's the evidence. After forty days with no named suspect, no viable DNA profile, and a biological clock that has long since run out for an 84-year-old woman with a cardiac condition, the Hidden Killers monologue goes where the cable coverage won't: straight into what the facts are actually saying.The glove DNA traced back to an unconnected restaurant worker. The mixed crime scene DNA is too complex to extract a usable profile. Nothing in CODIS matched. Six weeks in, investigators cannot identify the masked suspect's clothing. The unidentified car on the Ring camera 2.5 miles away is being reviewed alongside, in the sheriff's own words, hundreds of thousands of other vehicles. The FBI is still knocking on doors asking about internet disruptions from the night she disappeared.And then there's the number that reframes everything: 600,000. That's how many people go missing in America every year. Roughly 87 percent of those cases close within 30 days. Nancy Guthrie is past 40. She is statistically inside the universe of cases that don't resolve — high profile or not. The FBI carried over 97,000 unresolved missing persons cases in a single year. Those weren't household names. Fame doesn't change the math. It just changes the audience watching the math happen.In 2024, only 293 missing persons entries were coded as stranger abductions nationwide. They are the hardest cases to crack — because there's no connection between victim and perpetrator to triangulate. No shared history. No thread.Add the Sonoran Desert. Add forty days.Join Our SubStack For AD-FREE ADVANCE EPISODES & EXTRAS!: https://hiddenkillers.substack.com/Want to comment and watch this podcast as a video? Check out our YouTube Channel. https://www.youtube.com/channel/UC8-vxmbhTxxG10sO1izODJg?sub_confirmation=1Instagram https://www.instagram.com/hiddenkillerspod/Facebook https://www.facebook.com/hiddenkillerspod/Tik-Tok https://www.tiktok.com/@hiddenkillerspodX Twitter https://x.com/TrueCrimePodThis publication contains commentary and opinion based on publicly available information. All individuals are presumed innocent until proven guilty in a court of law. Nothing published here should be taken as a statement of fact, health or legal advice.#NancyGuthrie #SavannahGuthrie #TucsonKidnapping #MissingPersons #CadaverDogs #DNAEvidence #FBIInvestigation #HiddenKillers #TrueCrime #StrangerAbduction

Browns legend and Hall of Famer Joe Thomas joins Afternoon Drive on The Fan. He talks about the Browns offensive line additions in free agency, Joel Bitonio's future in Cleveland, the team's quarterback situation, and more.

"Once we start seeing free-flowing oil again," Wall Street will set the foundation for its rebound, argues Kevin Mahn. That said, he says "I'm surprised markets haven't pulled back even more," a "helpful" sign for stock market strength. Kevin talks about key defense and nuclear power-centric stocks he likes, from L3Harris (LHX) and Kratos (KTOS) to Huntington Ingalls Industries (HII). ======== Schwab Network ========Empowering every investor and trader, every market day.Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – / schwabnetwork Follow us on Facebook – / schwabnetwork Follow us on LinkedIn - / schwab-network About Schwab Network - https://schwabnetwork.com/about

Like a birth doula, a death doula accompanies a person in a milestone physical transition by lending practical, emotional and even spiritual support to a dying person and their family. Laurel Nicholson is a "death and resurrection" doula. She shares with us stories and wisdom from companioning people from life into eternal life.Additional resources:Laurelnicholson.com International Fellowship Cafe (via Laurel's website)Surprised by Hope--N.T. Wright"Holy Saturday"--Malcolm Guite-- from his book, Waiting on the Word: a Poem a Day for Advent, Christmas, and Epiphany

Joe DeCamara stands firm that Monday was a bad day for the Eagles and that they got worse after losing Reed Blankenship, Jaelan Phillips, Nakobe Dean and Jahan Dotson. Jon Ritchie thinks it's too soon to tell what effects this will have on the 2026 season and says to trust Howie Roseman's plan.

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

Draft expert Ian Cummings joined Baskin and Phelps and shared his latest mock draft, who he thinks would be the best choice for the Browns with their number 6 pick, and if he thinks there are any top QBs in this year's draft outside of Fernando Mendoza. He also talked about whether or not the Browns should trade back, who they could pick if they do, and what needs they can fill with this year's rookie class, as well as where he thinks Ohio State players are going to land.

Over the centuries, the meaning of happiness has traveled a long way. Today we speak of the pursuit of happiness, but it used to be that the word happiness suggested something that occurs only by chance–something that simply… happens. Plus, the joys and challenges of learning a new language in adulthood. And: Ready for an adventure? Then prepare for some boondocking. Or wallydocking. Or maybe even some crackerdocking. You'll want to know those terms and more if you travel in an RV. Plus, stinky slinky, mishap, fubsy, meckle, dogwalkers' slang, a consonant-heavy puzzle, som plommen i egget, collect the pearls, Genussstille, companionable silence, gassers, coffee soup, sliding pond vs. slide, duffel bag, and lots more. Hear hundreds of free episodes and learn more on the A Way with Words website: https://waywordradio.org. Be a part of the show: call or text 1 (877) 929-9673 toll-free in the United States and Canada; elsewhere in the world, call or text +1 619 800 4443. Send voice notes or messages via WhatsApp 16198004443. Email words@waywordradio.org. Copyright Wayword, Inc., a 501(c)(3) corporation. Learn more about your ad choices. Visit megaphone.fm/adchoices

I was surprised by doubt in the middle of my college years. Thankfully, God didn't give up on me and invited me 4 times back to himself. Some of us need 4 times. A favorite professor helped me out. Listen in.   Back story: Around age ten I fell in love with the Christian education pastor at our church. He was happily married—which was a good thing. I didn't tell anyone about my crush—which was also a good thing. But when I went off to college, I thought I might major in being a pastor's wife. I was surprised to find out they didn't have that major—nor did any aspiring pastor ask me. At least not anyone I wanted to say yes to. I was even more surprised to discover sometime in the middle of my second year that I'd lost my faith. More than a surprise, it was a shock. I awoke one morning and thought: Is Christianity actually true? Close to panic, I wondered, Does God even exist? Have I been duped? In school, no one spoke about doubt, not in daily chapel, never in class. Surrounded by godly professors, my friends and I took Bible courses alongside our majors and enjoyed the scholarship as well as the spiritual stimulation. But not one person asked: “So how much do you believe in God today, Sue?” (I wish they had—I would've been honest. I may have cried.) No one ever preached in chapel: “You May Doubt Your Faith One Day and You Will Be Okay.” (I wish they had. I would've taken notes.) One ordinary morning, doubts slipped in unnoticed and unwanted and rattled my cage of comfort and certainty. The fact remained: I no longer believed. I had lost my faith. I felt like I was living on the edge of crazy. Do you have a friend who needs to hear they are not alone in their doubts? Share this podcast episode with them today. You can help bring them back from the edge of crazy. Read more from Never Alone: Stories of Invitation and Connection    ~~~ Do you prefer watching while listening?  We are on YouTube:     Welcome Heart: Knowing & Showing the Heart of God  

We're carrying a lot of emotion right now, but not much surprise, and that matters because surprise is what you feel when your system expects safety, predictability, and repair. In this episode, Vanessa Bennett, LMFT explores the difference between shock and recognition, how collective and generational trauma live in the body, and why so many women experience harm as familiarity rather than disbelief. We also name why “not all men” is so activating, how the “good guy” archetype can turn defensiveness into avoidance, and why allyship isn't enough anymore. The invitation now is intervention: choosing repair over exemption, and being willing to risk comfort and privilege to protect women and children.Additional ResourcesExplore: VanessaBennett.comBook: The Motherhood MythCommunity: Inner Compass CollectiveTraining: Inner Compass AcademyConnect with Inner CompassFollow on InstagramConnect with Vanessa Bennett:Follow on InstagramFollow on TikTokLearn more on SubstackConnect with Vanessa Bennett on LinkedInSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Encounters with clients with open portals in their bodies and their long term illnesses got me thinking ... it there a connection? In this episode, you get an indepth understanding of why portals – energetic doorways that are constantly open in a person's mind or body can affect their mind and body function and possibly cause illness that can't be defined by medical practitioners. We look at:Actions that can open portalsWhere portals can openThe effects open portals have on your mind and bodyMY YOUTUBE PORTAL CLOSING VIDEO FOR HOMES:- https://www.youtube.com/watch?v=ENyGdtp4FOwMY YOUTUBE VIDEO FOR ENERGY FIELD REPAIR: https://www.youtube.com/watch?v=_T8JwdDYNpI&t=8s Send a textTRANSCRIPT AVAILABLE: https://perfectlyparanormal.buzzsprout.com/2126749Click on the link above, choose your episode & click on transcript, enjoy :)LIKE THIS EPISODE? Follow and leave a review on Apple Podcasthttps://podcasts.apple.com/us/podcast/perfectly-paranormal/id1669474568SHARE YOUR PARANORMAL STORY: Email Anna: spiritualbeing44@gmail.com and your stories can be included in my podcast. Names are changed to protect your privacy. PARANORMAL AND FULL HOUSE CLEANSING:Visit my website: https://www.spiritualbe-ing.com.au/services/house-healing/MORE PARANORMAL INFORMATIONMy Youtube Channel playlist: The Spooky Stuff @paranormalspecialistMY BOOK - THE DARKNESS AROUND USA definitive guide to understanding dark beings & why they are here: Available on Amazon.com.au - type - The Darkness Around Us Anna SchmidtINTRO AND OUTRO MUSIC: Pixabay.com - Deep in the dell by Geoff Harvey, Creepy whispering by Raspberry Tickle Creepy music box by Modification1089, Terror...

N. T. Wright is perhaps the most influential New Testament scholar of our generation. He is an Anglican bishop, having served as the Bishop of Durham and as a Lord Spiritual in the UK Parliament. He then became a research professor of New Testament and Early Christianity at St Mary's College at the University of St Andrews in Scotland, and later a senior research fellow at Wycliffe Hall at Oxford.Bishop Wright is the author of over seventy books, many of which are highly regarded as top academic scholarship. But his influence on regular run-of-the-mill Christians is greatest through his many books written at a more popular level, including the three books Simply Christian, Simply Jesus, and After You Believe, which guide readers in faith and Christian living.And, of course, Surprised by Hope: Rethinking Heaven, the Resurrection, and the Mission of the Church. In that groundbreaking book, Tom Wright dismantled the narrative we all assumed was the gospel story: that we are saved in order to go to heaven. He wrote that our hope for the future is our physical resurrection to live with God in the New Heavens and New Earth.This new book, God's Homecoming: The Forgotten Promise of Future Renewal (HarperOne, 2025), almost serves as a sequel to that. He returns to the grand narrative of the Bible and explains that God's promise has always been that he would dwell with humans in a renewed creation. God's home has been, and always will be, with us.Thanks for listening!If you enjoyed this podcast, please share it with your friends!Your hosts are Dr. Bob Robinson and David Loughney. For further resources on reintegrating all of life with God's mission, go to re-integrate.org.Support independent booksellers! Please consider purchasing Tom Wright's books from Byron and Beth Borger at Hearts & Minds Bookstore. They are eager to serve God's people with great books. Order online through their secure server or call 717-246-3333. Ask for 20% OFF by mentioning that you heard about these books on the Reintegrate Podcast! Get full access to Bob Robinson's Substack at bobrobinsonre.substack.com/subscribe

Cristopher Sanchez. Kyle Schwarber. Bryce Harper. Trea Turner. The list doesn't stop there. ESPN's ranking of the top 100 players in baseball has a surprisingly large number of Phillies in it. Their ranking will surprise you! Also on this edition of Hittin' Season, powered by WHYY in Philadelphia, host John Stolnis of The Good Phight provides an update on how Aaron Nola and others are progressing as we near the midway point of spring training. John also speaks with MLB.com's Mike Petriello about two recent articles concerning the Phillies. Which NL East rotation has the chance to flame out more spectacularly, and where does Mike rank the Phillies in his Tiers of 30 MLB teams? Subscribe on Spotify here: https://open.spotify.com/show/6fMSJlk... Follow all WHYY podcasts here: https://whyy.org/radio-podcasts/ Read John at The Good Phight: https://www.thegoodphight.com Read Mike's Ranking of all 30 MLB Teams in Tiers here: https://www.mlb.com/news/tiers-of-2026-mlb-contenders Read Mike's NL East rotation story here: https://www.mlb.com/news/2026-nl-east-could-be-a-4-team-race

The team shifts into pop‑culture buzz as DJ Akademiks defends Stefon Diggs amid rumors that he cheated on Cardi B — a claim that’s been circulating across social media, following their public breakup and the Patriots’ decision to release Diggs after one season. See omnystudio.com/listener for privacy information.

This episode kicks off with a dramatic global headline as the U.S. submarine strike that sank Iran’s IRIS Dena warship near Sri Lanka sparks international outrage, with at least 80–100 sailors reported dead and dozens more rescued. The show breaks down how officials described it as the first torpedo sinking of an enemy vessel since World War II, heightening tensions across the region. From there, the team shifts into pop‑culture buzz as DJ Akademiks defends Stefon Diggs amid rumors that he cheated on Cardi B — a claim that’s been circulating across social media, following their public breakup and the Patriots’ decision to release Diggs after one season. The episode takes a powerful turn when defense attorney and author Jared Adams joins the show to discuss his book Redeeming Justice, sharing how he went from being wrongfully convicted at 17 to becoming an exoneree‑turned‑lawyer fighting for criminal justice reform. His story echoes the same narrative found in his published memoir, which highlights a decade spent learning the law in prison before ultimately helping others fight wrongful convictions. The conversation wraps on a lighter note as the crew dives into Applebee’s new collaboration with Snoop Dogg and Dr. Dre, featuring two limited‑edition cocktails — “Young, Wild & Free Fruit Punch” and “Rollin' On the Beach” — crafted with the duo’s Still G.I.N. brand and served with collectible temporary tattoos. Website: https://www.urban1podcasts.com/rickey-smiley-morning-show See omnystudio.com/listener for privacy information.

In the final hour, Leila Rahimi and Mark Grote were joined by longtime NFL receiver Allen Robinson to react to the Bears trading receiver DJ Moore to the Bills. After that, Rahimi and Grote continued to take calls from Score listeners who shared their opinions on the Bears' trade of Moore.

Leila Rahimi and Mark Grote were joined by longtime NFL receiver Allen Robinson to react to the Bears trading receiver DJ Moore to the Bills.

Dan Wiederer and Mark Grote discuss how they initially reacted to Bears center Drew Dalman suddenly retiring. To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy Learn more about your ad choices. Visit https://podcastchoices.com/adchoices

Before opening up all-church prayer Pastor JD takes time to share what God ministered to him during the 5-months he was out of the pulpit caring for his wife before her home coming, specific to, how often times we're surprised when God answers prayer.

Before opening up all-church prayer Pastor JD takes time to share what God ministered to him during the 5-months he was out of the pulpit caring for his wife before her homegoing, specific to how often times we're surprised when God answers prayer. Social MediaMobile & TV Apps: https://subsplash.com/calvarychapelkaneohe/appProphecy Website: http://jdfarag.orgChurch Website: http://www.calvarychapelkaneohe.comTwitter: https://twitter.com/JDFaragFacebook: https://www.facebook.com/JDFaragInstagram: https://www.instagram.com/JDFarag

David Syvertsen joined Baskin and Phelps and shared his takeaways from the NFL Scouting Combine and talked about which players stood out the most both on the field and in their interviews. He explained why he thinks the 2027 draft will have a lot more talent than this year's draft, where in the draft he thinks this year's quarterbacks will land outside of Fernando Mendoza, as well as who he thinks the Browns should take with their number 6 and 24 picks.

The Atlanta Falcons have a pretty big decision to make at quarterback, mostly because they have no idea if Michael Penix Jr will be ready for week one. But as Abe Gordon elaborates on, the Falcons don't necessarily even have to remain loyal to Penix Jr.

Rob and Jeremy took some time from Wednesday's BBMS to discuss the moves around the NFL as the league's tag deadline passed. Any surprises?

From its very beginning, Community of Christ has looked to continuing revelation for guidance and direction for the path ahead.  And, we have not been disappointed. Surprised at times...yes. Disappointed … no. As those called to be a prophetic people, it is important for us to discern … to patiently listen to God's leadings as we seek to fulfill Christ's mission in the world. Join host Wendy Brian as she leads us in patient listening through the practice of centering prayer. Original post date: March 5, 2024Listen to more episodes in the Awaken to God's Presence series. Download TranscriptThanks for listening to Faith Unfiltered!Follow us on Facebook and Instagram!Intro and Outro music used with permission: “For Everyone Born,” Community of Christ Sings #285. Music © 2006 Brian Mann, admin. General Board of Global Ministries t/a GBGMusik, 458 Ponce de Leon Avenue, Atlanta, GA 30308. copyright@umcmission.org “The Trees of the Field,” Community of Christ Sings # 645, Music © 1975 Stuart Dauerman, Lillenas Publishing Company (admin. Music Services). All music for this episode was performed by Dr. Jan Kraybill, and produced by Chad Godfrey. NOTE: The series that make up Faith Unfiltered explore the unique spiritual and theological gifts Community of Christ offers for today's world. Although Faith Unfiltered is a Ministry of Community of Christ. The views and opinions expressed in this episode are those speaking and do not necessarily reflect the official policy or position of Community of Christ.

You cannot come from Akwatia and expect to win in Nima; I won't be surprised if Yussif Baba Ali beats Baba Jama to win the Ayawaso East by-election. - Nana B, National Organiser of NPP.

Florida Hockey Now Panthers insider, George Richards, discusses the Cats slim chances to salvage their season and their options with the trade deadline looming.

We take KDE Linux for a spin and push it a little too far. Plus, a friend of the show stops by with a fresh tool: Nebula Commander.Sponsored By:Jupiter Party Annual Membership: Put your support on automatic with our annual plan, and get one month of membership for free! Managed Nebula: Meet Managed Nebula from Defined Networking. A decentralized VPN built on the open-source Nebula platform that we love. Support LINUX UnpluggedLinks:

Mike Johnson, Beau Morgan, and Ali Mac talk continue to talk about what they think the Atlanta Falcons might do with the 48th overall pick in this year's NFL Draft, talk about how their need for a big interior defensive tackle is too glaring to not address it with the 48th pick, and explain why they think the Falcons could also draft an offensive tackle with one of their first three draft picks

Surprised By Grace | Acts 15 | Pastor Ben Spalink by GraceChurchNJ

Guest: Dr Carolyn Weber, author of "Surprised by Oxford" | Host: Julian Gibb, Executive Director, Harvest Foundation Dr Weber continues telling her faith journey, her ongoing relationship with the man who would become her husband, and the movie project "Surprised by Oxford".See omnystudio.com/listener for privacy information.

Secrets Baby Beach VLOG: https://www.youtube.com/watch?v=C7Z79H0uC7ASandals Royal Curacao VLOG: https://www.youtube.com/watch?v=ORTpYllcxCU✈️ For Travel Quotes & Info:

Daniel Oyefusi of ESPN joins Afternoon Drive on The Fan. He talks about what he learned about the Browns from the NFL Combine, what fans can expect this offseason, how he would fix this offense, and more.

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Segment 1 • A popular teaching claims Christians become “little gods”—but what does Scripture actually say? • Todd exposes how modern theology elevates man while diminishing God's exclusive glory. • Why confusing your created nature with God's uncreated, divine nature leads to catastrophic spiritual consequences. Segment 2 • A shocking confrontation reveals how moral outrage is now directed at the wrong targets. • Todd explains how Romans 1 warns us of the collapse of moral reasoning—and why we're seeing it so frequently today. • The real question: How do you reach people whose thinking is fundamentally broken by sin? Segment 3 • Why modern political outrage often ignores genuine evil while obsessing over symbolism and seemingly insignificant details. • Todd exposes the inconsistency between public virtue signaling and true moral contradictions on a deeper level. • What happens when cultural compassion and morality lose their grounding in God's truth? Segment 4 • Most gospel presentations today may be missing a critical—and biblical—element. • Paul Washer's prison sermon reveals what people must understand before grace makes sense. • Todd confronts a sobering possibility: Have Christians softened the gospel too much? ___ Thanks for listening! Wretched Radio would not be possible without the financial support of our Gospel Partners. If you would like to support Wretched Radio we would be extremely grateful. VISIT https://fortisinstitute.org/donate/ If you are already a Gospel Partner we couldn't be more thankful for you if we tried!

Is The Greatest Shift in Christian Theology Going From Heaven to Earth?   Heaven isn't the point of the gospel—and N.T. Wright challenges the "accept Jesus and escape earth" narrative of Christianity. Curtis Chang talks with Wright, leading theologian and prolific author, about New Creation and his latest book God's Homecoming: The Forgotten Promise of Future Renewal, asking whether the Bible's promise is the Kingdom of God on earth—or simply going to heaven when you die. They examine the "royal priesthood" calling, what this means for life after death and suffering now, and the true purpose of Christian faith.   Sign up for the Good Faith Newsletter Learn more about George Fox Talks Register for the Illuminate Arts + Faith Conference   03:43 - The Continuity Between Old and New Testaments 05:05 - Reject Platonism and Embracing New Creation? 08:04 - A Vision More Demanding Than The "Ticket To Heaven" Gospel 13:48 - What Does This Mean For Grace, Works, and Human Vocation? 19:53 - Divergence on the Meaning of The Kingdom of God 27:24 - The Problem of Evil and the "Now and Not Yet" 34:59 - A Pastoral Response to Heaven-Focused Theology 40:41 - How Are Heaven and Earth Interlocking Realities? 47:59 - The Royal Priesthood: Humanity's Biblical Mandate 51:47 - Tom Wright's Future Projects and Reflections   Scriptures: Revelation 5:9-10 (ESV) - kingdom + priests reign on the earth Exodus 19:6; Deuteronomy 7:6; 1 Peter 2:9 (ESV) - royal priesthood Genesis 1-2 (ESV) - creation "very good"; humanity's vocation Revelation 21–22 (ESV) - new heaven/new earth; God dwelling with humanity Romans 12:2 (ESV) - renewing of the mind Romans 8:21–23 (ESV) - creation set free; redemption of bodies Malachi 3:1 + Isaiah 40:3 (ESV) - prepare the way; the Lord coming to his temple Psalm 8 (ESV) - humanity crowned with glory/honor; vocation Ephesians 4 (ESV) - new humanity; community ethics   Mentioned in This Episode: N.T. Wright's book God's Homecoming: The Forgotten Promise of Future Renewal N.T. Wright's book Surprised by Hope What is the Bar Kokhba Revolt? What is the Mishnah? "Teach Me, My God and King" (George Herbert / "The Elixir")  Tom Holland's book Dominion: How the Christian Revolution Remade the World C.S. Lewis' book Miracles Scot McKnight's book Reading Romans Backwards: A Gospel of Peace in the Midst of Empire   More from N.T. Wright: N.T. Wright Online N.T. Wright's Speaking engagements N.T. Wright's books (Amazon)   Past Conversations with N.T. Wright: Good Faith ep. 207: N.T. Wright Explains Ephesians: The Church, Christian Nationalism, & the Armor of God Good Faith ep. 128: The Unseen Spiritual Powers Shaping Our World (with N.T. Wright)   Follow Us: Good Faith on Instagram Good Faith on X (formerly Twitter) Good Faith on Facebook   The Good Faith Podcast is a production of a 501(c)(3) nonpartisan organization that does not engage in any political campaign activity to support or oppose any candidate for public office. Any views and opinions expressed by any guests on this program are solely those of the individuals and do not necessarily reflect the views or positions of Good Faith.

Send a textRebecca, Joanna, and I are pulling back the curtain on what went into making the Love & Respect docuseries — including the things that didn't make the final cut.From the bizarre Nazi torture illustration Emerson used to keep women in bad marriages, to the genuinely heartbreaking story of a little boy watching his father abuse his mother, this episode gets raw and honest about why we've been fighting this battle for seven years. We also share the stunning survey results from a church in Florida that show exactly what happens when love-and-respect-style teaching takes root in a community. And we end with a word of real hope: healthy churches exist, better books are being written, and the tide is turning.THANKS TO OUR SPONSOR:To Heal or Harm: Scripture's Use as Poison or Medicine for Abuse Survivors by Dr. Steven Tracy. How to refute it when Bible verses are weaponized! https://amzn.to/4rSYkZuTO SUPPORT US: Join our Patreon for as little as $5 a month to support our workAnd check out our Merch, or any of our courses!Give to the Good Fruit Faith Initiative of the Bosko FoundationJoin our email list!LINKS MENTIONED: Watch the Love & Respect Docuseries! Episode 1, Episode 2, and Episode 3Our Love & Respect hub (links to all Love & Respect articles 7 resources at bottom)The Substack from the Florida womanSubscribe to Good Fruit Faith on YouTubeSupport the showJoin Sheila at Bare Marriage.com!Check out her books: The Great Sex Rescue She Deserves Better The Marriage You Want and the Study Guide The Good Girl's Guide to Great Sex and The Good Guy's Guide to Great Sex And she has an Orgasm Course and a Libido course too!Check out all her courses, FREE resources, social media, books, and so much more at Sheila's LinkTree.

Matt Spiegel and Laurence Holmes detailed how Illinois lawmakers were surprised and upset after seeing the Bears take a meaningful step Thursday toward building a new stadium in Hammond, Indiana.

David Haugh and Ruthie Polinsky were joined by Leila Rahimi and Marshall Harris for the daily transition segment.

First Take is live from Disneyland with ALL of the Super Bowl storylines. Find out if Stephen A. was surprised by the Seahawks dominance. (0:00) Then, Sam Darnold moved from bust, to champion in a matter of years. Should we look at him as an elite QB from now on? (23:55) And, do the Patriots coaches deserve most of the blame? (36:00) Learn more about your ad choices. Visit podcastchoices.com/adchoices

Al, Zach, John Luke, and Christian wrestle with why intimacy feels so difficult for American men—both with God and in marriage. Following along with C.S. Lewis's Surprised by Joy, they explore how knowledge alone can't produce real closeness, and why desire and longing shape the way men actually live. The guys challenge the idea that faith is about mastering concepts instead of participating in a relationship. They point toward a hopeful vision of intimacy that isn't forced or performed, but rediscovered through joy, presence, and learning to live inside God's story rather than observing it from a distance. Today's conversation is about Lesson 3-4 of C.S. Lewis on Christianity taught by visiting Hillsdale professor Michael Ward. Take the course with us at no cost to you! Sign up at http://unashamedforhillsdale.com/. More about C.S. Lewis on Christianity: Encounter the faith & wisdom of C.S. Lewis C.S. Lewis's writings bring the great questions of the Christian faith to life. Through his imaginative and invigorating style, Lewis answers these questions in ways that are compelling to those outside Christianity and energizing to those within the Christian faith. In this free, seven-lecture course, Professor Michael Ward—a leading scholar of C.S. Lewis—will explore Lewis's: argument for objective moral value in response to the rise of modern subjectivism; bittersweet path to conversion and the role of enjoyment in the Christian life; advice regarding the proper way to pray and read the Bible; teachings concerning the purpose of pain and how to confront suffering and loss; insights about the nature of heaven and hell. This course examines these fundamental topics not only through his classic works—including Mere Christianity, The Screwtape Letters, and The Abolition of Man—but also through Lewis's personal experiences with doubt, conversion, suffering, grief, and joy. Through this course, students will discover Lewis's core lessons regarding the truth and goodness of the Christian faith and how to apply those lessons to one's life.  Join us today in discovering C.S. Lewis's enduring lessons about the meaning and practice of Christianity. Sign up at ⁠http://unashamedforhillsdale.com/ Check out At Home with Phil Robertson, nearly 800 episodes of Phil's unfiltered wisdom, humor, and biblical truth, available for free for the first time! Get it on Apple, Spotify, Amazon, and anywhere you listen to podcasts! https://podcasts.apple.com/us/podcast/at-home-with-phil-robertson/id1835224621 Listen to Not Yet Now with Zach Dasher on Apple, Spotify, iHeart, or anywhere you get podcasts. Chapters: 00:00 Why This C.S. Lewis Lecture Is Tough 03:02 When the Philosophy Gets Heavy 06:42 The Inklings & Writing Under Critique 11:06 Why Lewis's Conversion Feels Underwhelming 15:26 Conversion Isn't Always a Moment 20:08 Why Desire Drives Our Actions 25:26 The Beam of Light Explained 31:12 Joy as Longing, Not Satisfaction 36:58 From Holding the Garden to Living in It 42:26 Conversion as Intimacy, Not Performance 47:12 Final Reflections on Living the Story — Learn more about your ad choices. Visit megaphone.fm/adchoices

On today's Views Podcast, David talks about being surprised by Steve Willdoit with a brand new Ferrari including: what it cost, how it went down and the regret David felt immediately after. Also, Jason's son works on an album, China comes up with robot pregancies, John cleans the garage and David wonder who gets driveway parking privileges at the house. Also, things that we do now that will soon be outlawed, what David got paid on a TV show and Natalie wishes for a Valentine's Day date. Listen to Jason's podcast here: https://open.spotify.com/episode/49ilGbxlOCxjiWDBuNLGtF?si=MJdYZU7VReext-vUX-pNPA Learn more about your ad choices. Visit megaphone.fm/adchoices