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Beat Migs! No seriously, you're gonna love her sweet treats.

Beat Migs! Tune in to find out who… or what our Grand Marshall will be!

S9 E11 New Season, No Name – Shortest Episode Ever – Comfort and Hope Hey, good people! This message is short. In fact, it is dedicated to those people who are out there working through “big” things – the despairing ones… the big things that are hard to talk about or get through from day to day…this is for them (this also includes me)! Pull up a chair, let's sit down, and let's will for them together. Glad you are here, take a listen and maybe even share with a friend, today! BOOM! #heartsup Get. Your. Dose. …of The Midweek Muscle Podcast! Listen Now! #heartsup * Check it out! Rate and review on Amazon Music, Audible, Apple Podcasts, Spotify, or leave a comment on Soundcloud or Castbox or any of the SOCIALS! * What did you think of this week? Let US know: * The Midweek Muscle: jz@themidweekmuscle.com - or - Facebook and Instagram: @themidweekmuscle

Happy Tuesday rockaholics! Tune to hear about the ones we're going to get.

Beat Migs! Tune in to hear about more food and services you can find at the parade this Saturday!

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

Shortest month of the year, longest yap session ever. Lots of okay books and one I really needed to rant about. Everything I read or attempted to read in February.

Food, food, food! Tune in to hear about the tasty food we'll have set up.

Beat Migs! We chat with our Promotion's Director, Kaila, about the applications we've received.

Beat Migs! Tune for all the Irish details.

Mayor Sid Roberts joins us to chat all about the second annual Stanwood's Shortest St. Paddy's Day Parade happening on March 14th in Stanwood!

Nemos's Many Websites - Shortest Path to Greatest KnowledgeIf you appreciate the work we do and wish to support us, you can donate here >> https://www.nemosnewsnetwork.com/donateBitchute – Where We Don't Have To Watch Our Mouths!Click Here For Exclusive Deal and Remove all ads and secure your privacy!https://www.bitchute.com/affiliate/dustinnemosOn Sale Now - CarbonShield60 Oil Infusions 15% OFFGo to >> https://www.redpillliving.com/NEMOSCoupon Code: NEMOS(Coupon code good for one time use)Sleepy Joe Sleep Aidhttps://redpillliving.com/sleepIf you wish to support our work by donating - Bitcoin Accepted.✅ https://NemosNewsNetwork.com/Donate———————————————————————FALL ASLEEP FAST - Stay Asleep Longer... Without Negative Side Effects.✅ https://redpillliving.com/sleep———————————————————————For breaking news from one of the most over the target and censored names in the world join our 100% Free newsletter at www.NemosNewsNetwork.com/news———————————————————————Follow on Truth Socialhttps://truthsocial.com/@REALDUSTINNEMOSAlso follow us at Gabhttps://gab.com/nemosnewsnetworkJoin our Telegram chat: https://NemosNewsNetwork.com/chat———————————————————————

Matt Hougan, CIO of Bitwise, breaks down why we're still in a crypto winter, the truth about central bank gold buying, and why Bitcoin's revenue problem doesn't matter… yet. We dive into the Kevin Warsh Fed era, quantum risks, and the rise of AI agents. Get your tickets to OPNEXT 2026 before prices increase! Join us on April 16 in NYC for technical discussions, investor talks, and intimate conversation with the brightest minds in Bitcoin. Matt Hougan, CIO of Bitwise, joins us to talk about the current state of the crypto winter and when the bottom is finally in. We explore the digital gold narrative, explaining why central bank buying—not debasement—drove gold's recent surge. Matt details the institutional vs. retail divide, the impact of Fed Chair Kevin Warsh, and the looming debate over Bitcoin's security budget. Plus, we tackle the quantum discount and how AI agents could 1000x on-chain activity. Subscribe to the newsletter! https://newsletter.blockspacemedia.com Notes: * Altcoins like Sui and Aptos fell 70%+ in 2025. * Institutions might end the winter by Q2 2026. * BTC volatility capped at 50-60% drawdowns. * Gold price surge driven by central bank buys. Timestamps: 00:00 Start 03:22 Is it still "crypto winter"? 04:34 Why January? 06:36 Market segments 08:31 Gold 10:54 Central banks & Bitcoin 12:56 Causes of the crash 14:52 Kevin Warsh 16:58 Fed hawks become doves 17:34 Quantum... oh so scary! 19:59 Bitcoin Core 21:44 Revenue 24:37 Beyond "digital gold" narrative 26:44 AI

1️⃣ You can have a currency, passport, and flag - but forming your own personal nation won't keep you from paying taxes. 2️⃣ Most wars go on, well, forever. This week we look at a few that barely lasted the workday.Sources:https://www.worldatlas.com/articles/shortest-wars-in-human-history.htmlhttps://www.britannica.com/topic/micronationhttp://www.commutethepodcast.comFollow Commute:Instagram - instagram.com/commutethepodcast/Twitter - @PodcastCommuteFacebook - facebook.com/commutethepodcast

Shams Charania's Height Compared to NBA's Shortest Players by Jaggy Sports

Fun show this week! From Michigan's 48-minute Black Lake sturgeon season to a dramatic duck hunters rescue on a Maryland frozen River, to how real-world outdoor challenges rival the Winter Olympics, and what events we think could be added. Join radio hosts Rebecca Wanner aka ‘BEC' and Jeff ‘Tigger' Erhardt (Tigger & BEC) with the latest in Outdoors & Western Lifestyle News! Winter Olympics vs Real-World Outdoor Extremes, Michigan's 48-Minute Fishing Season & Maryland Duck Hunter Ice Rescue Winter Olympics vs Real-World Outdoor Activities Do you know how many events there are in the Winter Olympics? The answer, 16! Alpine Skiing Biathlon - 5 Shots from 50 meters away Bobsleigh - 93 miles per hours Cross Country Skiing Curling Figure Skating - Oldest winter Olympic sport Freestyle Skiing Ice Hockey Luge - 80 to 90 mph Nordic Combined Short Track Speed Skating Skeleton - forces up to 5 G's. 1G is the force you feel sitting still.  At 5 G's, a 150 pound person feels like they weigh 750 pounds Ski Jumping Ski Mountaineering - New Event for 2026, assent and descend, Skis, hike, ski down remove skins Snowboard Speed Skating Most Popular by viewership: Figure Skating, Snowboarding, Bobsled, Luge Least Popular: Alpine Skiing, Speed Skating, Ski Jumping Real-World Events to ADD to the Winter Olympics Skijoring:  Horse, rider, skier. Popular in "Cowboy States" that have winter a Cowboy gallops pulling another cowboy strapped with skies! Farmer/Rancher Olympics Speed Skating: wearing muck boots, Cow calves in a muddy slop, fling calf over shoulders run like hell. Replace Curling with... Chopping ice for livestock. Ice Hockey: when you pick up a bale from the hay stack and mice run. Everywhere. Bobsleighing: pull behind a truck on a scoop shovel... Way harder than it sounds! Alpine Skiing:  Hang onto truck while wearing cowboy boots. Biathlon:  Shooting coyotes... aka Predator Control! Michigan's Shortest Fishing Season Ends in Just 48 Minutes Michigan's 2026 Black Lake sturgeon fishing season came and went fast — really fast. The season opened at 8 a.m. on Saturday, Feb. 7, and wrapped up just 48 minutes later when the six-fish quota was reached in Cheboygan and Presque Isle counties. According to the Department of Natural Resources, anglers landed fish starting at 8:07 a.m., with the final sturgeon harvested right at 8:48. In total, 679 anglers were registered, all competing in what's known as the shortest fishing season in the state. The largest catch was a 67-inch female sturgeon weighing just over 79 pounds. The other five fish ranged from about 53 to 64 inches long, weighing between 40 and 78 pounds. Each angler was allowed to keep just one fish and had to report it immediately. The season automatically closed once the sixth fish was taken, with anglers alerted by text and by DNR staff on the ice. Black Lake's sturgeon season is famous for its speed. Last year it lasted only 17 minutes, while in 2023 it stretched to just over an hour. In 2024, the season was canceled entirely because of unsafe ice. Lake sturgeon are among the oldest fish species in the Great Lakes, and their numbers dropped sharply in the past due to overfishing and habitat loss. Strict regulations and decades of restoration work have helped rebuild the population, allowing Michigan to continue this tightly controlled, blink-and-you-miss-it fishing tradition. Reference: https://www.woodtv.com/news/michigan/2026-lake-sturgeon-season-takes-48-minutes-to-hit-limit/ Duck Hunters Rescued After Becoming Trapped in Frozen Maryland River A dramatic helicopter rescue occurred January 31 when six duck hunters became stranded in the frozen Nanticoke River in Maryland on the final day of duck season. Natural Resources Police and Wildlife and Heritage Service crews were called out around 6:30 p.m. after the hunters' boat became inoperable in icy conditions. Temperatures were in the teens and low 20s, with strong winds, and thick ice prevented local fire crews from reaching them by water or boat ramp. Officials believe the hunters had completed their hunt and were heading back when they ran into trouble — either mechanical issues or ice that moved in after the shoot. A helicopter crew was already nearby but decided it was too dangerous to hoist the hunters due to high winds. Instead, rescuers launched an airboat from a nearby campground. The river is about a half-mile wide at that location, a well-known but risky late-season duck hunting area. All six hunters were safely brought back in two trips, checked by EMS, and returned to their vehicles. While it's unclear what happened to their boat — or whether they harvested any ducks — officials say it's a last-day hunt the group won't forget, and one they were fortunate to survive. Reference: https://www.outdoorlife.com/hunting/duck-hunters-rescued-nanticote-river/ OUTDOORS FIELD REPORTS & COMMENTS We want to hear from you! If you have any questions, comments, or stories to share about bighorn sheep, outdoor adventures, or wildlife conservation, don't hesitate to reach out. Call or text us at 305-900-BEND (305-900-2363), or send an email to BendRadioShow@gmail.com. Stay connected by following us on social media at Facebook/Instagram @thebendshow or by subscribing to The Bend Show on YouTube. Visit our website at TheBendShow.com for more exciting content and updates! https://thebendshow.com/ https://www.facebook.com/thebendshow WESTERN LIFESTYLE & THE OUTDOORS Jeff ‘Tigger' Erhardt & Rebecca ‘BEC' Wanner are passionate news broadcasters who represent the working ranch world, rodeo, and the Western way of life. They are also staunch advocates for the outdoors and wildlife conservation. As outdoorsmen themselves, Tigger and BEC provide valuable insight and education to hunters, adventurers, ranchers, and anyone interested in agriculture and conservation. With a shared love for the outdoors, Tigger & BEC are committed to bringing high-quality beef and wild game from the field to your table. They understand the importance of sharing meals with family, cooking the fruits of your labor, and making memories in the great outdoors. Through their work, they aim to educate and inspire those who appreciate God's Country and life on the land. United by a common mission, Tigger & BEC offer a glimpse into the life beyond the beaten path and down dirt roads. They're here to share knowledge, answer your questions, and join you in your own success story. Adventure awaits around the bend. With The Outdoors, the Western Heritage, Rural America, and Wildlife Conservation at the forefront, Tigger and BEC live this lifestyle every day. To learn more about Tigger & BEC's journey and their passion for the outdoors, visit TiggerandBEC.com. https://tiggerandbec.com/

What is the shortest amount of time you've held a job?

Ah, February! Already one month into the New Year, and we've got so much to share with you! Professional spoken word artist Jim Weiss stops by the studio to spin some yarns and talk shop with Evan. Mr. Weiss has narrated countless stories from Tall Tales to Greek Mythology, and U.S. History to Classic Fables. You've probably heard his version of The Tortoise and the Hare - it's pretty epic!!! Plus, get ready for the most dramatic reading of a cereal box...maybe ever? Speaking of drama: steel your nerves and brace your tastebuds - it's another edition of Feeding Ben Stuff! This time, it's Nichole's turn. Tune in to find out what never-before-heard-of-flavor-combination they invent this time! Then, get ready for a real cool treat!!! Introducing: SNOW ICE CREAM! That's right, we go to our test kitchen (and our backyard) to bring you a wonderful wintertime recipe that's sure to be a new favorite! We have a Grandparent story from Blake in Cary, Illinois and his Grandma, who grew up on a farm in Kansas! And, get ready for one of the original supernatural mysteries as Cryptid Corner explores the treacherous Bermuda Triangle! Plus, we share a few tricks for remembering how many days are in each month. You know, because February! Not to mention hilarious jokes, a mind-bending riddle, and a fantastic favorite sound. So grab a snack, tell a friend, stay curious and, as always, keep it WILD!!!Parents: visit our website to help your kids contribute jokes or favorite sounds, or to send us a message.Timestamps for this episode are available below.00:00 - Episode 19 Intro01:35 - Jim Weiss Spins His Yarns11:58 - Animal Call!12:22 - How Many Days in a Month?15:02 - Riddle Clue15:29 - Favorite Sound16:21 - Call for Submissions!16:48 - Feeding Ben Stuff Part III: Nichole's Turn29:08 - Animal Call Reprise29:57 - Grandparent Stories: Blake's Grandma33:47 - Animal Call Reprise Part II34:28 - Joke Time!35:25 - Snow Ice Cream!40:34 - Animal Call REVEAL41:11 - Cryptid Corner: The Bermuda Triangle46:10 - Riddle Answer46:36 - Preview of Episode 2046:49 - Credits + Calls for Reviews + Word of Mouth!47:22 - Bloopers!***To hear more of Jim Weiss's storytelling, head to:jimweiss.com & welltrainedmind.comAnimal Call samples clips from the Cornell Lab of Ornithology | Macaulay Library, by Allen, Gunn, Johnson, Maia, and Patterson; and "Intergalactic" by The Beastie Boys, © Capitol Records and Beastie Boys, 1999.wildinterest.com

Guest host Sen. Benton Sawrey, a Johnston Co Republican, and co-host Brian Lewis team up to break down a wintry week in #ncpol. From icy politics to the Governor making yet another budget pitch, the latest John Locke Foundation poll, fresh primary chatter, a heartbreaking tragedy in Cabarrus County, House oversight fireworks, #TOTW, and more. The episode also features a conversation with Rep. Tim Longest, a Raleigh Democrat with possibly the shortest commute to the General Assembly. Longest talks about his unique path to being appointed to the House, the lasting influence of former Governors Jim Hunt and Terry Sanford, and why he believes getting more young people involved is essential to the future of politics in North Carolina. The Do Politics Better podcast is sponsored by New Frame, the NC Travel Industry Association, the NC Beer & Wine Wholesalers Association, the NC Pork Council, the NC Realtors, and the NC Healthcare Association.

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A man from Kewlona, British Columbia was pulled over by police when they saw him behind the wheel with a pipe in his mouth. He told them it was marijuana (still illegal) but it turned out to be crack (more illegal).See omnystudio.com/listener for privacy information.

It's the first *new episode of 2026. Yes, I know we're well past the New Year salutations but alas. This was the perfect type of film to start off the year and a new mood. The Daytrippers have been on my list for a while and it really scratched that itch when it comes to a quirky 90s comedy. I talk about the realistic and aspirational fashion of Parker posey, the many quotes and hijinks that ensue on this caper of madness, and the many roadblocks during the behind the scenes of this film.--Get BONUS episodes on 90s TV and culture (Freaks & Geeks, My So Called Life, Buffy, 90s culture documentaries, and more...) and to support the show join the  Patreon! Host: Lauren @lauren_melanie Follow Fashion Grunge Podcast Find more Fashion Grunge on LinktreeJoin me on Substack:  The Lo Down: a Fashion Grunge blog/newsletter

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The regular season comes to a close with a forgettable game against an opponent who will be watching the playoffs from their couches. The playoff time and opponent is now set - the Packers take on the Bears on Sat in Soldier Field.

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Angel Studios https://Angel.com/HermanJoin the Angel Guild today where you can stream Thank You, Dr. Fauci and be part of the conversation demanding truth and accountability.  Renue Healthcare https://Renue.Healthcare/ToddYour journey to a better life starts at Renue Healthcare. Visit https://Renue.Healthcare/Todd Bulwark Capital https://KnowYourRiskPodcast.comBe confident in your portfolio with Bulwark! Schedule your free Know Your Risk Portfolio review. Go to KnowYourRiskPodcast.com today. Alan's Soaps https://www.AlansArtisanSoaps.comUse coupon code TODD to save an additional 10% off the bundle price.Bonefrog https://BonefrogCoffee.com/ToddThe new GOLDEN AGE is here! Use code TODD at checkout to receive 10% off your first purchase and 15% on subscriptions.LISTEN and SUBSCRIBE at:The Todd Herman Show - Podcast - Apple PodcastsThe Todd Herman Show | Podcast on SpotifyWATCH and SUBSCRIBE at: Todd Herman - The Todd Herman Show - YouTubeWhat Is The Cure of Trump Derangement Syndrome? // Common Sense on SNAP Is Literally Hitler // A Divine Loop: the Longest and Shortest Books in The BibleEpisode Links:NEW: Psychotherapist Jonathan Alpert says that 75% of the patients he sees have a deep hatred for Trump and are "hyper fixated" on him.  - "They can't sleep, they feel traumatized by Mr. Trump."LAWFARE: Obama Judge Boasberg blocked Trump admin CDL restrictions meant to prevent tragedies like the Florida crash where an illegal migrant trucker killed three people. His ruling keeps 190,000 noncitizen CDL holders on US roads. Another Obama judge undermines safety.Lis Smith just admitted on CNN that the 34 felony charges against President Trump weren't honest legal cases at all — they were part of the Democrats' coordinated “resistance strategy” to take him down. Jaw. On. The. Floor.Dr. Oz, Medicare & Medicaid Administrator, didn't mince words regarding this topic,What Does God's Word Say?Psalm 119:105, 111–11 John 3.

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The hardest moments don't just test our faith—they rewrite it. Author Elizabeth Harris sits with us to share how grief, motherhood, and the daily work of love turned her from religious motions to a living relationship with God. After losing her grandfather, she began writing letters to heaven, a humble practice that shifted from ink on a page to prayer with a pulse. Those pages became a map out of despair, teaching her to feel what is real, name it without shame, and surrender what she couldn't fix.Our talk moves from the silence of loss to the music of nature. Elizabeth describes standing in a tropical grove as wind changed tone across different trees, a simple moment that revealed a language of the Spirit—one breath expressed a thousand ways. That insight fueled her choice to blend poetry and prose, because some truths need the space of a line break and others need the steadiness of narrative. We also walk through her unexpected path into late motherhood and the seismic shift of raising a son with autism and cognitive delay. Denial gave way to an honest, gut-level lament that cleared room for peace. Along the way, she learned to see people who wound us as carrying their own special needs of the heart, and to live from the inside out instead of performing for the room.Elizabeth now describes herself as a heartist, offering prayerful Reiki as gentle care that smooths stress and pours love without fanfare. Her throughline is disarmingly simple: be the child of God you are, and the rest finds its place. If you've been navigating grief, faith deconstruction, autism parenting, or the fear of sharing vulnerable work, this conversation offers practical hope and thoughtful perspective. Listen, breathe, and consider what love this moment is asking of you.If this resonated, follow the show, share it with a friend who needs courage, and leave a short review—it helps more people find these stories. Find the book HERESupport the showElsa's AMAZON STORE Elsa's FAITH & FREEDOM MERCH STORE Elsa's BOOKSElsa Kurt: You may know her for her uncanny, viral Kamala Harris impressions & conservative comedy skits, but she's also a lifelong Patriot & longtime Police Wife. She has channeled her fierce love and passion for God, family, country, and those who serve as the creator, Executive Producer & Host of the Elsa Kurt Show with Clay Novak. Her show discusses today's topics & news from a middle class/blue collar family & conservative perspective. The vocal LEOW's career began as a multi-genre author who has penned over 25 books, including twelve contemporary women's novels. Clay Novak: Clay Novak was commissioned in 1995 as a Second Lieutenant of Infantry and served as an officer for twenty four years in Mechanized Infantry, Airborne Infantry, and Cavalry units . He retired as a Lieutenant Colonel in 2019. Clay is a graduate of the U.S. Army Ranger School and is a Master Rated Parachutist, serving for more th...

Trevor Harris & the dunkin dad recap eagles raiders, all the nfl news and noteworth, they talk some hockey and so much more.

The ultimate definition of favour is a life that is surrendered and aligned to the will of God for the season

In this episode of the Discover Strength Podcast, Luke Carlson sits down with Ulrich Dempfle, CEO and co-founder of Carol Bike, to discuss how Reduced Exertion High-Intensity Interval Training (REHIT) is transforming the world of cardio. Built on cutting-edge scientific research, REHIT protocols deliver remarkable improvements in VO2 max and metabolic health with workouts as short as 5 minutes.Ulrich explains how Carol Bike was designed from the ground up using lab-validated protocols and integrated AI to create an efficient, automated workout that eliminates excuses like lack of time and complexity. They explore the science behind the two 20-second sprint model, how it compares to traditional cardio and HIIT, and why shorter, more intense efforts may be more effective for both longevity and adherence.Learn more about CAROL and the most efficient workout.Discover Strength offers free Introductory Workouts at any location across the United States. You can schedule your free Introductory Workout HERE !

Do you want to know the shortcut to favour

In Psalm 117, the shortest chapter in the Bible, God commands us to praise Him. But as Brett shows us from this Psalm, it is reasonable for God to do this... not egotistical.

Anthony Yarde has to be the best managed boxer in recent British boxing history. The young man is a millionaire. He's fought for world titles three times against three people who will definitely be on the ballot for the Boxing Hall of Fame and he's been able to secure endorsement deals and hopefully secure future for himself and his family But none of that should mask over the fact that this weekend is revealed how poor the standard of British Boxing actually is we are in no position to call ourselves of global force when it comes to Boxing.

2025 Rerun Notes: In anticipation of this month's incoming C1E99: "Listener Picks - vol 3", we are rerunning both previous installments of the Listener Picks trilogy this month!  Today's rerun is the second installment, from December of 2021 And it is less of a sequel per se, and more of an omake (that is, more of an "outtakes" episode). While vol 1 was 40 tracks long and selected by 18 contributors, their total body of contributions was not 40, but instead, an absolutely insane 100!! Well, even in 2025, we'd never do an episode 100 tracks long! Such a mixtape could possibly hit 5hrs long, which is too long even for St. John! :-D  So, what I did instead in 2018 was take the 100 and narrow it down to 40, with the 60 track remainder kept in reserve, intended for a Channel F "F-isode" to immediately follow as a bonus and feature the remaining 60. This bonus was to feature Trey Johnson of the NintenDomain and W.A.R.T. Radio podcasts as co-host, and be in the original format of W.A.R.T. Radio as a "return the favor" tribute to Trey in return for W.A.R.T. changing formats to match the NNR format. It was also going to feature an interview with a composer, spearheaded by Trey. But schedules did not align, and so the F-isode never happened! Today's rerun, eventually released years later in 2021 as a numbered "official" Ch 1 episode is essentially what that F-isode would've been - only with no interview (scheduling conflicts). Trey would still go on to co-host with me, though. Lastly, as always: all the usual caveats about how much worse my production quality was back in 2021 than it is today, and not to judge the current state of NNR production quality by this rerun. If you are new, and this is your first exposure to NNR, and you enjoyed the content, but were put off by the production, either go back and listen to a recent episode, such as C1E98 or C1E96....or perhaps even better, keep your eyes peeled for C1E99, which is basically this all over again, but at 2025's far improved production quality standards! In fact, in this case, the situation is even worse! My side of the recording session with Trey was lost, and so we had to fallback on his side of the Zoom call for my voice, where I was using a super cheap wireless headset. So my voice quality sounds especially terrible. My apologies if any of that detracts from this otherwise excellent and joyous outing! And with that, please enjoy the very non-standard-formatted - Listener Picks - vol 2, thanks again to Trey for lending his voice and talents in joining me to make this one happen, and please keep an eye out for the trilogy's incoming 3rd (and final) installment! Cheers! -------------------------------------------------------------- Original Show Notes:   Today's Broadcast is C1E60, for Theme Thursday, December 23rd, 2021 - our final episode of our very non-standard two-year long “Season 4”. So it is fitting that we'd end such a wildly non-standard season - filled with primarily wildly non-standard content already - with such a dramatically non-standard Channel 1 episode. Today's episode abandons the customary Channel 1 “great big music block” mixtape format for a modified take on the original W.A.R.T. Radio format, featuring Trey Johnson of Nintendomain / W.A.R.T. Radio and St. John. Today's episode is also a “Lost Level”, as it was originally intended to be a Channel F bonus “F-isode” to supplement “C1E40 - Listener Picks - vol. 1” from December 2018, and was intended to release right after it, in a nearly identical presentation to what you receive today. As such, today's broadcast shall be “Listener Picks - vol. 2”. All music, other than the background music for the speaking portions was curated by listeners of the show, and are the roughly 60 remaining unused tracks from the pool of roughly 100 that were offered up for C1E40 in 2018, of which only 40 were used.    p.s. We apologize for the uncharacteristically poor audio quality on St. John's speaking voice. Details available upon request, but the short version is that John had technical difficulties on his end of the recording with "the good mic", but fortunately, we had a lower-quality backup recording on Trey's end over Zoom using St. John's built-in laptop mic. The sound quality is diminished, but the content is still preserved.     Note: All Speaking Portions originally produced in December 2021 by St. John     01: Intro     Timestamps: 00:00:00 - 00:05:18  Runtime: 05:18  Emceed by: Trey and St. John     02: Phillip Vaughn Music Block     Timestamps (Including Introduction): 00:05:18 - 00:24:00  Runtime (including introduction): 18:42  Timestamps (Music Block-Only): 00:07:30 - 00:24:00  Runtime (Music Block-Only): 16:30  Number of Tracks: 8  Emceed by: Trey  Intro Runtime: 02:12  Track Selection  by: Phillip Vaughn  Produced by: St. John  Run-Order by: St. John  Originally Produced in: 2018     Intro - 00:05:18  a)Title – TMNT – NES – JunFunahashi -  00:07:30  b)Final Dungeon – Zelda II – NES – Akita Nakatsuka - 00:09:19 c) Title Screen – Aero the Acrobat – SNES – Fox Productions - 00:10:32 d)Zombie Panic – Zombies Ate my Neighbors – SNES – Joe McDermott - 00:12:11 e)Fool's Play (Puppet Show) – Secret of Evermore – SNES – Jeremy Soule - 00:14:22 f)The Ancient Battleground – King's Field 2 - PS1 – Sound Kids Corp. - 00:16:39 g)The East Village – King's Field - PS1 – Koji Endo - 00:18:20 h)Decisive Battle with Magus – Chrono Trigger – SNES – Yasunori Mitsuda and/or Nobuo Uematsu - 00:21:15    03: Eric Barks Music Block     Timestamps (Including Introduction): 00:24:01 - 00:39:45  Runtime (including introduction): 15:44  Timestamps (Music Block-Only): 00:27:00 - 00:39:45  Runtime (Music Block-Only): 12:45  Number of Tracks: 2 (Fewest of the Day)  Emceed by: St. John  Intro Runtime: 02:59  Track Selection by: Eric Barks  Produced by: St. John  Run-Order by: St. John  Originally Produced in: 2018     Intro - 00:24:01  a)Hellwalker– DOOM (2016) – Multi – Mick Gordon - 00:27:00  b)Cyberdemon - DOOM (2016) – Multi – Mick Gordon - 00:32:04     04: Chris Randazzo Music Block     Timestamps (Including Introduction): 00:39:43 - 00:48:12  Runtime (including introduction): 08:29  Timestamps (Music Block-Only): 00:41:15 - 00:48:12  Runtime (Music Block-Only): 06:58 (Shortest of the Day)  Number of Tracks: 3  Emceed by: Trey  Intro Runtime: 01:31  Track Selection by: Kris Randazzo  Produced by: St. John  Run-Order by: St. John  Originally Produced in: 2018     Intro - 00:39:43  a)Chapter 2 – PAC PIX – DS – Yoshinori Kawamoto - 00:41:15 b)Goin Across Town – Tin Star – SNES – Chris Jojo, Matthew Cannon and/orSuddi Raval - 00:43:33  c)Drifting Brother – Balloon Kid -GameBoy – Hirukazu "Hip" Tanaka - 00:45:43     05: Adam Huisman Music Block      Timestamps (Including Introduction): 00:48:11 - 01:05:20  Runtime (including introduction): 17:09  Timestamps (Music Block-Only): 00:50:41 - 01:05:20  Runtime (Music Block-Only): 14:38  Number of Tracks: 6  Emceed by: St. John  Intro Runtime: 02:31  Track Selection by: Adam Huisman  Produced by: St. John  Run-Order by: St. John  Originally Produced in: 2018      Intro - 00:48:11  a)Blood Dragon Theme – Far Cry 3: Blood Dragon – PC / PS3 / XB360 - Power Glove -  00:50:41 b)Roller Mobster – Hotline Miami – Multi - Carpenter Brut - 00:53:41 c)Hills of Destiny (Past) – Messenger – Multi –Rainbowdragoneyes - 00:57:13  d)Hills of Destiny (Future) - Messenger – Multi –Rainbowdragoneyes - 00:58:36  e)Positive Force – VVVVVVV –  Multi - Magnus Pålsson -  00:59:59 f)Kyoto – Tree of Knowledge – PC98 –Yogurtbox -  01:02:46     06: Michael "Nestrogen" Raisner Music Block     Timestamps (Including Introduction): 01:05:19 - 01:15:44  Runtime (including introduction): 10:25  Timestamps (Music Block-Only): 01:07:51 - 01:15:44  Runtime (Music Block-Only): 07:52  Number of Tracks: 9  Emceed by: Trey  Intro Runtime: 02:33  Track Selection by: Nestrogen  Produced by: St. John  Run-Order by: Nestrogen  Originally Produced in: 2019     Intro - 01:05:19  a)Title Screen – Super Hyperactive Ninja – Multi –Nestrogen - 01:07:51  b)Story Theme – Super Hyperactive Ninja  - Multi –Nestrogen - 01:08:23  c)Level Select – Super Hyperactive Ninja – Multi –Nestrogen - 01:08:53  d)Main Boss Theme – Super Hyperactive Ninja – Multi –Nestrogen - 01:09:17  e)Tower 4 Hyperactive – Super Hyperactive Ninja – Multi –Nestrogen - 01:10:36  f)Tower 5 Main – Super Hyperactive Ninja – Multi –Nestrogen - 01:11:32  g)Tower 6 Main – Super Hyperactive Ninja – Multi –Nestrogen - 01:12:35  h)Final Boss Theme – Super Hyperactive Ninja – Multi –Nestrogen - 01:13:37  i)Game Clear Theme – Super Hyperactive Ninja – Multi –Nestrogen - 01:15:03     07: Jeshua Lack Music Block     Timestamps (Including Introduction): 01:15:44 - 01:40:07  Runtime (including introduction): 24:23  Timestamps (Music Block-Only): 01:19:12 - 01:40:07  Runtime (Music Block-Only): 20:55  Number of Tracks: 10  Emceed by: St. John  Intro Runtime: 03:28  Track Selection by: Jeshua Lack  Produced by: St. John  Run-Order by: St. John  Originally Produced in: 2018     Intro - 01:15:44  a)Ending – Sonic 2 – Genesis – Masato Nakamura –  01:19:12 b)In-Game Theme – Adventures of Lolo – NES – HidekiKanazashi – 01:20:25  c)Stage Theme 1 – Dino Riki – NES – Takeaki Kunimoto – 01:22:17 d)Bridge 05 – Hack Sign – PS2 –Norikatsu Fukuda – 01:25:10  e)Spider Dance – Undertale –  multi – Toby Fox – 01:25:54 f)Prologue – Shining Force – Genesis – Masahiko Yoshimura – 01:29:46 g)Save Room – Resident Evil 2 – PS1 – Masami Ueda – 01:31:00 h)Primal Eyes – Parasite Eve – PS1 – Yoko Shimomura – 01:32:50 i)Time's Scar – Chrono Cross – PS1 – Yasunori Mitsuda – 01:34:57 j)Casino – Sonic 2 – Genesis – MasatoNakmura – 01:37:18     08: Electric Boogaloo Music Block     Timestamps (Including Introduction): 01:40:07 - 02:20:42  Runtime (including introduction): 40:35  Timestamps (Music Block-Only): 01:44:13 - 02:20:42  Runtime (Music Block-Only): 36:29  Number of Tracks: 13 (Most of the Day)  Emceed by: Trey  Intro Runtime: 04:06  Track Selection by: Electric Boogaloo  Produced by: St. John  Run-Order by: St. John  Originally Produced in: 2018      Intro - 01:40:07  a)Paint Dance (Menu Music 4) – NBA Live 98 – Multi –Traz Damji - 01:44:13  b)Try 2 Luv U – DDRMAX2 - PS2 – Sota Fujimori - 01:47:15 c)Introducing Challenge – Cosmic Smash – Arcade / Dreamcast –  Kazunori Ito, Todd Okawa, Toshi Masuda, and/orKeitarou Hanada – 01:48:31  d)Ruined Paths – Gravity Rush – PS4 /PSVita – Kohei Tanaka - 01:50:56  e)Freezing Moment – Hover Racing – PS1 – Hiroaki Omori and/or Tooru Kawakami - 01:54:20 f)Valley of Autumn – Rapid River – Arcade – Yoshie Arakawa - 01:56:16 g)Prime #5 –Echochrome – PSP / PS3 – Hideki Sakamoto - 01:59:16  h)Eternal Move –Spindizzy II – X68000 – Toshiya Yamanaka and/or Tetsuya Nakano - 02:02:31  i)BGM 5 –Blockout – Arcade – Unknown - 02:07:13  j)Kinchu(Main Menu) – Hot Shots Golf – PS1 – Motoi Sakuraba - 02:09:35  k)Hanglider– Pilotwings 64 – N64 – Dan Hess - 02:12:59  l)Reach for the Top (Clay Court) – Windjammers – Neo Geo CD –Seiichi Hamada, Tomoyoshi Sato, and/or Masaki Iwasaki - 02:15:54 m)Girl of Power - Border Down – Arcade / Dreamcast – Yasuhisa Watanabe - 02:18:07    09: Amber Pearey Music Block      Timestamps (Including Introduction): 02:20:41 - 03:01:34  Runtime (including introduction): 40:53  Timestamps (Music Block-Only): 02:24:19 - 03:01:34  Runtime (Music Block-Only): 37:15 (Longest of the Day)  Number of Tracks: 9  Emceed by: St. John  Intro Runtime: 03:38  Track Selection by: Amber Pearey  Produced by: St. John  Run-Order by: St. John  Originally Produced in: 2018     Intro - 02:20:41  a)Got Well Soon – Life Is Strange – Multi - Breton - 02:24:19 b)Build that Wall (Zia) – Bastion – Multi – Darren Korb - 02:29:07 c)Mother, I'm Here (Zulf) – Bastion – Multi – Darren Korb - 02:34:28 d)Mt Moon –Pokemon Red / Blue / Yellow – Gameboy – Junichi Masuda - 02:36:41  e)Lavender Town –Pokemon Red / Blue / Yellow – Gameboy – Junichi Masuda - 02:39:36  f) Koe – Fatal Frame 3 – PS2 – Ayako Toyoda - 02:42:30 g)Chou – Fatal Frame 2 –XBox – Ayako Toyoda - 02:47:56  h)Obstacles – Life Is Strange – Multi – Syd Matters - 02:53:34 i)To All of You – Life is Strange – Multi – Syd Matters - 02:56:55    10: Trey Johnson Music Block     Timestamps (Including Introduction / Outro…duction?): 03:01:34 - 03:20:16  Runtime (including introduction etc): 18:42  Timestamps (Music Block-Only): 03:03:23 - 03:19:28  Runtime (Music Block-Only): 16:05  Number of Tracks: 5  Emceed by: Trey [and “Deku Scrub”]  Intro 1 Runtime: 01:20  Intro 2 Runtime: 00:27  Outro Runtime: 00:50  Total Intro/outro Runtime: 02:37  Track Selection by: Trey Johnson  Produced by: St. John  Run-Order by: Trey Johnson  Originally Produced in: 2018     Intro 1 - 03:01:34  Intro 2 - 03:02:55  a)To Break the Curse (Past) – The Messenger – Multi –Rainbowdragoneyes -  03:03:23  b)Signs of Love – Shin Megami Tensei Persona 4 – PS2 –Shouji Meguro - 03:07:08  c)Battle –Pokemon Sun and Moon – 3DS -  Hitomi Sato, Go Ichinose, and/or GAME FREAK - 03:10:03  d)Section 2 BGM – Silver Surfer – NES – Tim and/or Geoff Follin - 03:12:45 e)Sunshine Coastline – Ys VIII:Lacrimosa of Dana – Multi – Hayato Sonoda, and/or Takahiro Unisuga - 03:16:15  Outro - 03:19:25     11: Outro     Timestamps: 03:20:16 - 03:30:06  Runtime: 09:50  Emceed by: Trey and St. John     12: Blooper Reel     Timestamps: 03:30:04 - 03:39:08  Runtime: 09:04  Featuring: Trey and St. John      Total Episode Runtime: 03:39:08     ------------------------------------------------------------------------------------------------------     Background Music – during speaking portions (tracks selected and extended by St. John in 2020):      01 Intro: In-Game Theme – Lunar Battle – iOS / Android – Unknown    02 Vaughn: 5AM – Animal Crossing: New Horizons – Switch -    Yasuaki Iwata, Yumi Takahashi, Shinobu Nagata, Sayako Doi, and/or Masato Ohashi   03 Barks: Kara Kara Bazaar (Desert Oasis) – LoZ: Breath of the Wild – WiiU / Switch – Hajime Wakai, Manaka Kataoka, and/or Yasuaki Iwata   04 Randazzo: Shinto Shrine – Tobal No. 1 – PS1 – Masashi Hamauzu    05 Huisman: Ninja Theme 4 – 198X – Multi – Yuzo Koshiro    06 Nestrogen: Sector 4 (AQA): Aquatic Level Control Zone – Metroid Fusion – GBA – Minako Hamano and/or Akira Fujiwara    07 Lack: Overflow – Streets of Rage 4 – Multi – Groundislava    08 Boogaloo: Jungle – Wolfchild – Genesis – c: Martin Iveson / a: Matt Furniss    09 Peary: Sakado Shops – Zelda: Wand of Gamelon – CD-i – William Havlicek and/or Tony Trippi   10 Johnson: Legacy [Episode 3 Town Square Edit] – Saturday Morning RPG – Multi – Vince DiCola    11 Outro: Results Theme – Metroid Prime – GameCube – Kenji Yamamoto     --------------------------------------------------------------------------------------------------------------------------     A very special thanks to Trey Johnson of Nintendomain and W.A.R.T. Radio for joining me for this very special episode! You can find Trey and the gang's shows at www.nintendomainpodcast.com, nintendomain.libsyn.com, or https://podcasts.apple.com/us/podcast/nintendomain/id1055861408, as well as on Facebook, Twitter, and Instagram.    Final Production produced using Ardour 6 / Audacity 2.42 in Ubuntu Studio 21.10. Elements produced before April 2020 produced instead in GarageBand on macOS, and 2020 production elements produced using earlier versions of Ardour and Ubuntu Studio.    NOTICE: The "Nerd Noise Radio - RERUNS!" feed will be going away after December of 2021, and consolidating its output with the main feed. However, in the meanwhile, it will remain active with rerun content, and can be found here:     https://www.buzzsprout.com/77944/    or here    https://itunes.apple.com/us/podcast/nerd-noise-radios-podcast/id1191400767    You can also find all of our audio episodes on Archive.org as well as the occasional additional release only available there, such as remixes of previous releases and other content.    Our YouTube Channel, for the time being is in dormancy, but will be returning with content, hopefully, in 2021. Meanwhile, all the old stuff is still there, and can be found here:     https://www.youtube.com/user/NerdNoiseRadio    Our episodes (and occasionally, other content, including expanded show notes) can be found on our blog here:    nerdnoiseradio.blogspot.com.    Nerd Noise Radio is also available on The Retro Junkies Network at www.theretrojunkies.com, and is a member of the VGM Podcast Fans community at     https://www.facebook.com/groups/VGMPodcastFans/    Or, if you wish to connect with us directly, we have two groups of our own:     Nerd Noise Radio - Easy Mode: https://www.facebook.com/groups/276843385859797/ for sharing tracks, video game news, or just general videogame fandom.    Nerd Noise Radio - Expert Mode: https://www.facebook.com/groups/381475162016534/ for going deep into video game sound hardware, composer info, and/or music theory.    You can also follow us on Twitter at @NerdNoiseRadio. And we are also now on Spotify, TuneIn, Pandora, iHeartRadio, Stitcher, and Vurbl.    Thanks for listening! Join us again next week for C2R1 – Best of Season 1, our first Channel 2 Retrospective, with Hugues Johnson and St. John. Tasty VGM and talk on Nerd Noise Radio....and wherever you are....Fly the N!!!    Cheers! 

Title: A 52-Week Plan to Get the Most Amount of Referrals in the Shortest Amount of Time WITHOUT Spending a Dime Host: Michael J. Maher Guest: Sheri Maher Description: In this powerful and practical episode, Michael and Sheri break down one of the most misunderstood — and most important — distinctions in real estate success: the difference between a traditional business plan and an appreciation plan. You'll learn why a business plan sets your direction, but an appreciation plan fuels your referrals… and your results. They also dive into how to grade your database, who truly deserves more of your time, and why chasing strangers is the fastest way to burnout — while communicating with friends is the fastest path to referrals. PLUS, Michael drops an early leak of our Black Friday special that will transform your 2026 before it even starts. (7L) Referral Strategies Podcast Topics: YAPS, Grade your database Special Offer: Michael reveals our Black Friday special EARLY on this episode! Get all the details — and lock in an entire year of leadership and coaching from Michael for less than $1,000 — at www.YAPSworkshop.com This special gives you a full year of guidance on building your 2026 plan, choosing the right events, implementing a real buyer process, mastering networking for referrals, and so much more.

Welcome to the Jeep Life Podcast Presented by Armorlite, The Toughest Flooring on the Trail!! We are All Jeeps, all the Time. You should listen live!! In this episode of the Jeep Life Podcast, Terry announces a partnership with New Jersey Jeep Invasion hosted by BlinkerFluid Productions. Beginning in December, we will be giving away passes to the Invasion each month. Be active in our Live recordings, email the show with ideas, post a review, tell a friend to be entered to win. The New Jersey Jeep Invasion is July 10th-12th, 2026 in Wildwood, NJ!!! It's the show on the beach. Buy your tickets and guarantee your spot at https://www.blinkerfluidproductions.com/newjerseyjeepinvasionTag us in your IG feed or FB. Give us a review and share us out…we'll even try to read it on air. Please tell your friends about us… heck, you can even tell your enemies. Here's a big Jeep wave to you!!!DISCOUNT CODESExclusive Armorlite discount “jeeplifepodcast10” for a complete Armorlite system at goarmorlite.com15% Off at oraclelights.com using code “JEEPINTERRY”Exclusive Powertank discount “jeeplifepod15” for a complete system at checkout powertank.comPypes is offering free shipping on their systems to our listeners “jeeplife” at pypesexhaust.com“JEEPLIFE15” 15% discount at tyrioffroad.comOUR LINKShttps://linktr.ee/JeepLifePodcastinfo@jeeplifepodcast.comhttps://www.patreon.com/user?u=49836045

In James 2:1-7, James showed us why faith is incompatible with partiality: It dishonors God when we judge each other's value using any external standard in place of Christ. Instead, if we love Christ deeply, we must love each other completely. James helps us understand what that looks like in 2:8-13. Join us this week as we continue our study in James 2. Having already taught us how we can never think about each other (with partiality), this week we will learn how we must always see each other. Loving Christ deeply means loving each other completely!

TTO-235 New Cat, Dan Guest, Wu Tang is for the Children, Kids Hot Pot Piss, 3I/Atlas Comet or Aliens, Homo Sapiens Skull, 1 Million Year Old, Pickle Egg Jar, 2 Eggs Sausage Luke's Tavern, Friendsgiving Bird Goose, Dick Chenney, Larry Silverstein, John's New Lady, Gym Goofy, Last Call Pool Game, Lift Drops Her, Culminate the Story, Meets Girl Get Culture Points, Wyoming Tensleep, Spiderweb, Male Kegels, Pee Wee Herman, Charlie Sheen, John Candy, Age of Disclosure, Anti Tail, Heavy Metals Copper Nickel Alloy, Peru Mummies Alien, Weapons Movie, Witcher New Season, Largest Spiderweb, Frankenstein, New Lord of the Rings…..

After a cheerio from Lehmo's mother, Hev kicks us off with the All Sports Report - including an unbelievably low cricket score in the Queensland Premier League. Channel 7 Chief Foty Reporter Mitch Cleary is in studio to talk Wildcard Round, Opening Round, and the four big agents that will be available after next season. Topics Lehmo wants to know about your first childhood sporting hero, as we hear some classic audio from Hev's hero. Carlton AFLW stars Erone Fitzpatrick and Dayna Finn are in studio ahead of their semi-final with Hawthorn, Lehmo's List is the 5 shortest celebrity marriages, and Supercars Bathurst winner Matt Payne is in studio ahead of this weekend's Sandown 500. Finally, we ask you "What's For Dinner?"See omnystudio.com/listener for privacy information.

[00:30] Israel Derangement Syndrome (44 minutes) President Donald Trump considers himself the peace president, but violence continues worldwide in places like Sudan. Meanwhile, prominent conservative figures and organizations are giving anti-Semites a platform to disseminate their Jew-hating views. Our leaders will engage in dialogue with anyone except God. [44:00] Look to God (11 minutes) 1 Thessalonians 5 provides warning and encouragement for these last days. True religion always points people to God.

After weeks of paperwork, physical exams, training & onboarding, I lasted 1 whole day at my latest place of employment. To quit after one day, especially after 10 months of unemployment, must mean it was QUITE the sh*t day. And it was!

In professional networking, trust is everything. Learn how a simple smile can break barriers, build rapport, and spark meaningful professional relationships. For more great insight on professional relationships and business networking contact Frank Agin at frankagin@amspirit.com.

How did the Saints' brief time in Far West shape the future of the Restoration and the present? Dr. Alexander Baugh explores the founding of Far West, the official naming of the Church, and the significance of Adam-ondi-Aham amid the trials of 1838 Missouri.SHOW NOTES/TRANSCRIPTS English: https://tinyurl.com/podcastDC242EN French: https://tinyurl.com/podcastDC242FR German: https://tinyurl.com/podcastDC242DE Portuguese: https://tinyurl.com/podcastDC242PT Spanish: https://tinyurl.com/podcastDC242ESYOUTUBE: https://youtu.be/TXKS2FSCY28ALL EPISODES/SHOW NOTESfollowHIM website: https://www.followHIM.co2021 Episode Doctrine & Covenants 115-120 Part 1https://youtu.be/-j_I2ljmPloFREE PDF DOWNLOADS OF followHIM QUOTE BOOKSNew Testament: https://tinyurl.com/PodcastNTBookOld Testament: https://tinyurl.com/PodcastOTBookBook of Mormon: https://tinyurl.com/PodcastBMBook  WEEKLY NEWSLETTER https://tinyurl.com/followHIMnewsletter  SOCIAL MEDIA Instagram: https://www.instagram.com/followHIMpodcast Facebook: https://www.facebook.com/followhimpodcastTIMECODE:00:00 Part 1 - Dr. Alex Baugh01:56 Episode Teaser06:46 Alex Baugh Bio08:52 Shortest section in the D&C12:57 Come, Follow Me Manual16:40 Additional counselors in the First Presidency20:09 First Presidency requirements24:31 The name of the Church30:19 Historical names vs. name of the Church34:02 Church will rise36:51 Why is Far West significant?40:54 The Far West cornerstones 48:24 Far West Temple design51:23 Numbers of Saints56:24 Adam-ondi-Ahman1:00:16 W. W. Phelps poem at Adam-ondi-Ahman1:04:21 Great Council Meeting1:06:05 End of Part 1 - Dr. Alex BaughThanks to the followHIM team:Steve & Shannon Sorensen: Cofounder, Executive Producer, SponsorDavid & Verla Sorensen: SponsorsDr. Hank Smith: Co-hostJohn Bytheway: Co-hostDavid Perry: ProducerKyle Nelson: Marketing, SponsorLisa Spice: Client Relations, Editor, Show NotesWill Stoughton: Video EditorKrystal Roberts: Translation Team, English & French Transcripts, WebsiteAriel Cuadra: Spanish TranscriptsAmelia Kabwika: Portuguese TranscriptsHeather Barlow: Communications DirectorSydney Smith: Social Media, Graphic Design "Let Zion in Her Beauty Rise" by Marshall McDonaldhttps://www.marshallmcdonaldmusic.com

There are over 900 stairways in San Franciso. Some are simple wooden stairs, others beautiful climbs covered in mosaics, or utilitarian concrete steps. It's incredibly charming and a delightful surprise to many visitors. Bay Curious listener George Krause fell in love withe stairways between photo shoots and wanted to know which are the shortest, longest and steepest stairways in the city. Many of you are stair-curious too! Additional Resources: Stairways Crisscross the Hills of San Francisco. Here's Why People Love Them Read the transcript for this episode How the Filbert Steps Came to Be an Oasis in San Francisco Where Did the Wild Parrots of San Francisco Come From? Sign up for our newsletter Enter our Sierra Nevada Brewing Company monthly trivia contest Got a question you want answered? Ask! Your support makes KQED podcasts possible. You can show your love by going to https://kqed.org/donate/podcasts This story was reported by Gabriela Glueck. Bay Curious is made by Katrina Schwartz, Gabriela Glueck and Christopher Beale. Additional support from Olivia Allen-Price, Jen Chien, Katie Sprenger, Maha Sanad, Alana Walker, Holly Kernan and everyone on Team KQED.

The Rich Zeoli Show- Full Episode (09/04/2025): 3:00pm- Will this be the shortest episode of The Rich Zeoli Show ever? Not quite—though, it's only 30-minutes long due to preemption for the Philadelphia Phillies on 1210 WPHT. 3:05pm- On Thursday, Health and Human Services Secretary Robert F. Kennedy Jr. testified before the Senate Finance Committee—answering questions about the Trump Administration's plan to Make America Healthy Again. The hearing resulted in several heated exchanges, most memorably with Sec. Kennedy noting that Sen. Elizabeth Warren has taken nearly $1 million in campaign contributions from pharmaceutical companies. 3:25pm- Malcolm Gladwell reaches his “Tipping Point” with biological males competing in women's sports 3:30pm- Go Eagles! The defending Super Bowl Champion Philadelphia Eagles kickoff their season tonight against the Dallas Cowboys.

Distractible has officially set the record for World's Best Dad, World's Baldest, and World's Shortest. Shopping. Streaming. Savings. It's on Prime. Visit Amazon.com/prime to get more out of whatever you're into. Visit www.rocketmoney.com/Distractible Learn more about your ad choices. Visit podcastchoices.com/adchoices