Podcasts about HQ

Support the D.A.W.G.Z. @ patreon.com/MSsecretpod Support Mike & Tim @ https://www.patreon.com/dadmeatpodcast Mike @ https://www.patreon.com/getinsomehead Tim @ https://www.patreon.com/timbutterly Go See Matt Live @ mattmccusker.com/dates Go See Shane Live @ shanemgillis.com Go See Tim Live @ https://linktr.ee/timbutterly Go See Lemaire Lee Live @ https://lemairelee.fun/ Go See Shawn Gardini Live if you want  @  https://www.shawngardini.com/live yo0o0ooo. What's up guys. Got the day 1 broskis in matt HQ for the cast this week. We love Mike and Tim very much - please check out everything they're doing. Check out Dad Meat, Tim Butterly's Show, Get in Some Head, and Lil Stinkers. Also go check out gay.com. Please enjoy. God Bless. Visit https://prizepicks.onelink.me/DRENCHED and use code DRENCHED and get $50 in lineups when you play your first $5 lineup! This video is sponsored by BetterHelp. Visit BetterHelp.com/MSSP Learn more about your ad choices. Visit podcastchoices.com/adchoices

Starbucks founder Howard Schultz is moving from the Seattle area to Miami Florida. Also Starbucks corp is gradually moving its HQ to Tennessee.The state of Washington just approved a 9.9% income tax aimed at their people making over $1 million per year. They already have a death tax on estates. Florida has neither.Expect many other Seattle region high earners to exit this year.Texas man Curtis Lee Daniels faces up to 10 years in prison after allegedly cheating in a fishing tournament by placing weights inside his largemouth bass.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Starbucks founder Howard Schultz is moving from the Seattle area to Miami Florida. Also Starbucks corp is gradually moving its HQ to Tennessee.The state of Washington just approved a 9.9% income tax aimed at their people making over $1 million per year. They already have a death tax on estates. Florida has neither.Expect many other Seattle region high earners to exit this year.Texas man Curtis Lee Daniels faces up to 10 years in prison after allegedly cheating in a fishing tournament by placing weights inside his largemouth bass.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

On this week's show, Patrick Gray, Adam Boileau and James WIlson discuss the week's cybersecurity news. They cover: The Coruna exploits were L3 Harris, but it seems Triangulation… was not! Iran's cyber HQ hit by Israeli (kinetic) strikes Trump's cyber “strategy” is … well, all we've got is jokes cause there's no serious content NSA and CyberCom finally get a leader after Lt Gen Joshua Rudd gets Senate nod DOGE (remember them?!) employee walked a social security database out on a USB stick This episode is sponsored by open source cloud security scanner Prowler. Creator and CEO Toni de la Fuente talks to Pat about some of the enterprise features Prowler is growing, while remaining true to its open source roots. This episode is also available on Youtube. Show notes Inside Coruna: Reverse Engineering a Nation-State iOS Exploit Kit From JavaScript GitHub - matteyeux/coruna: deobfuscated JS and blobs US military contractor likely built iPhone hacking tools used by Russian spies in Ukraine APT36: A Nightmare of Vibeware State-linked actors targeted US networks in lead-up to Iran war Iranian cyber warfare HQ allegedly hit by Israel Last 2 names of 6 US soldiers who died in Kuwait attack identified by the Pentagon Signal, WhatsApp users face Russian phishing push, Dutch warn Samuel Bendett on X: "Russian military told it couldn't use Telegram messaging app" FBI investigating ‘suspicious' cyber activities on critical surveillance network Risky Bulletin: New White House EO prioritizes fight against scams and cybercrime President Trump's CYBER STRATEGY for America Fact Sheet: President Donald J. Trump Combats Cybercrime, Fraud, and Predatory Schemes Against American Citizens UK plans to shift fraud fight onto telecoms, tech companies Trump to hit Anthropic with executive order to remove "woke" AI Claude Anthropic launches code review tool to check flood of AI-generated code CrowdStrike reports record quarter amid investor concerns about AI impact Critical defect in Java security engine poses serious downstream security risks Gen. Joshua Rudd confirmed as NSA, Cyber Command head Plankey's nomination as CISA director now in jeopardy DOGE employee stole Social Security data and put it on a thumb drive, report says Taming Agentic Browsers: Vulnerability in Chrome Allowed Extensions to Hijack New Gemini Panel Cel mai mare exportator român de carne, deținătorul brandului Cocorico, a intrat în restructurări, alături de Casa de Insolvență Transilvania

Welcome to WORK!! Today we're clocking in for a content therapy meeting chatting about ALL things social media, content creation, growing in 2026, mental health, success, sharing your personal life & more!! Special Xero offer: Get 90% off for 6 months using this link. Terms & Conditions apply.* https://referrals.xero.com/p9bgvx98mnw20:00 Intro3:56 How to start from scratch on social media in 2026? 10:28 How do I stay consistent when my mental health isn't?15:49 How do I re-brand without losing followers? 18:47 When are you successful as a creator & how to stay content when you're so far away from your goals? 23:37 What do I do when I don't like the product a brand sent me? 25:03 How to post more when I want to spend less time on social media?27:33 How to deal with cringe when people I know follow me? 29:33 How to grow on social media when my life is boring? 32:44 How to grow a personal brand without sharing my personal life? 36:44 How to deal with comparison as a content creator? 39:25 How to make a series unselfish? 42:06 HQ pricing update!!

Every February, the Japan Sake and Shochu Makers Association holds the Sake and Shochu Academy, a week-long course that teaches students everything they need to know about Japan’s national beverages. Think Hogwarts for sake. The teachers are not wizards in a literal sense, but are top representatives from various official sake industry and research bodies, the equivalent of wizards in the sake world perhaps. The students are an elite group of professionals from different corners of the alcoholic beverage industry. For the last four years, Chris and Miho have been working as interpreters at the academy. Set up to train future ambassadors of the beverages in Japan, the academy is now in its 10th year. It's an extremely popular course, with this year seeing over 50 entries, and with such a high standard of entries it must have been a challenge to whittle that down to the 14 spaces available. This year's lineup appeared to be mainly focused on people working in importers or suppliers, but there was a real mix of nationalities. Most of the course is held in the old HQ of the National Research and Institute of Brewing, the old red brick brewing building in Oji, Tokyo. But the last day consists mainly of brewery visits, a sake-focused one and a shochu-focused one. Join Chris on the bus on his way to the first brewery where he took the opportunity to find a bit more out about some of this year's students and get some feedback about the course. Thanks to the interviewees: Maciej Skrzypkowski (@Mcj_skr), sole proprietor, sake events, courses, and tour leader; Froukje Betten (@Yoigokochi), Yoigokochi Sake Importers; Ana Cristina Abreu Camacho (@acacamacho), Beverage Director of LYD; Shu Yi Ho (@chewieho), Freelance marketing with Suiraku SG and Kurara SG. As always, if you have questions or comments, please do share them with us at questions@sakeonair.com or send us a message on our Instagram, Facebook, or Substack!We'll be back very soon with plenty more Sake On Air. Until then, kampai!Sake On Air is made possible with the generous support of the Japan Sake & Shochu Makers Association and is broadcast from the Japan Sake & Shochu Information Center in Tokyo. Sake on Air was created by Potts K Productions and is produced by Export Japan. Our theme, “Younger Today Than Tomorrow,” was composed byforSomethingNew for Sake On Air.

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

Israel claims a strike on Iran's cyber warfare headquarters. The Trump administration releases a new national cyber strategy.  DHS shakes up its IT and cybersecurity leadership. Velvet Tempest uses ClickFix to drop loaders and RATs. Researchers uncover a Linux cryptocurrency clipboard hijacker. The DOJ brings a Ghanaian romance scammer to justice. Online advertising enables government tracking. Monday business breakdown. Our guest is Jon France, CISO from ISC2, sharing some insights and findings from their 2025 ISC2 Cybersecurity Workforce Study. An Apple II app gets audited by AI.  Remember to leave us a 5-star rating and review in your favorite podcast app. Miss an episode? Sign-up for our daily intelligence roundup, Daily Briefing, and you'll never miss a beat. And be sure to follow CyberWire Daily on LinkedIn. CyberWire Guest Joining us today is Jon France, CISO from ISC2, sharing some insights and findings from their 2025 ISC2 Cybersecurity Workforce Study. For further detail, you can also check out ISC2's just released Women in Cybersecurity report. Selected Reading Iranian cyber warfare HQ allegedly hit by Israel | brief (SC Media) Iran internet blackout reaches 6th day as rights groups call for end to digital shutdown (The Record) The long-awaited Trump cyber strategy has arrived (CyberScoop) DHS CISO, deputy CISO exit amid reported IT leadership overhaul (FedScoop) Termite ransomware breaches linked to ClickFix CastleRAT attacks (Bleeping Computer) ClipXDaemon: Autonomous X11 Clipboard Hijacker Delivered Via Bincrypter-Based Loader (Cyble) Ghanaian Pleads Guilty to Role in $100m Romance Scam (Infosecurity Magazine) The Government Uses Targeted Advertising to Track Your Location. Here's What We Need to Do. (Electronic Frontier Foundation) Zurich Insurance Group intends to acquire UK cyber insurer Beazley for approximately $11 billion. (N2K Pro Business Briefing) Microsoft Azure CTO says Claude found vulns in Apple II code (The Register) Share your feedback. What do you think about CyberWire Daily? Please take a few minutes to share your thoughts with us by completing our brief listener survey. Thank you for helping us continue to improve our show.   Want to hear your company in the show? N2K CyberWire helps you reach the industry's most influential leaders and operators, while building visibility, authority, and connectivity across the cybersecurity community. Learn more at sponsor.thecyberwire.com. The CyberWire is a production of N2K Networks, your source for strategic workforce intelligence. © N2K Networks, Inc. Learn more about your ad choices. Visit megaphone.fm/adchoices

The Hartford Business Journal's Greg Bordonaro joins us to discuss Major global fintech company (Revolut) choosing Stamford as its U.S. HQ, as it pursues a U.S. bank charter, Gregs take on the idea that CT should resist new taxes on high earners, and a major development in the city of Hartford's financial recovery as it heads to the bond market for new money for the first time since 2017.

Hoje temos Leonardo Vicente (o Buddy), Roberto Segundo, Gabi Franco, Giovanni Spinelli e Phillyp Leroy falando sobre a maior HQ da ninja da Marvel, Elektra: Assassina!Nos apoie no Catarse: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠catarse.me/falaanimal⁠⁠⁠⁠⁠⁠⁠Compre a HQ ⁠através do nosso link.⁠⁠Entre para nosso grupo de ofertas.⁠⁠⁠⁠Entre para nosso grupo aberto.Edição: Fred SantosVitrine: Roberto SegundoJabás:Site ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Fala, Animal!⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Fala, Animal! no ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ e ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠A Hora Suave no ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Youtube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Podcast ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Momento Suave⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Podcast ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Mansão Wayne⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Podcast ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Imagina se Pega no Olho⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Site ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Gibizilla⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Podcast ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Imagina se Pega no Ouvido⁠Nerd Vintage no ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠Haterzasso no⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Youtube⁠⁠⁠

In this riveting episode of Stories of Sacrifice: The Baron 52 MIA Mystery, titled “The Baron 52 Enigma: Captured in Laos – Signals of Survival But Buried by Bureaucracy,” we unravel the haunting 1973 shootdown of a U.S. Air Force EC-47Q spy plane over Laos, just days after the Paris Peace Accords promised an end to the Vietnam War. Through a chronological deep dive, hosts explore the mission's fateful night, the crash's immediate aftermath—including SAR efforts observing only partial remains—and the rapid KIA designation that left families reeling. We spotlight the families 50-year emotional battle for truth, from congressional advocacy with Sen. Bob Smith to frustrations with bureaucratic stonewalling.At the heart of the episode is lead researcher John Bear's groundbreaking work: decoding declassified NSA intercepts (REFNO 1983) hinting at the capture of four “pirates,” bolstered by NSA correlation studies tying them directly to Baron 52. Bear breaks down the Vinh Window SIGINT program, explaining how PAVN relays from southern Laos funneled signals to Vinh hubs for RC-135 interception—aligning with the 5.5-hour post-crash timeline. We map the PAVN order of battle, from Group 210 (210th AAA Regiment) and the 377th Air Defense Division to the 471st Division and Binh Tram 35 HQ at Tang Cat (Km 48), pinpointing its proximity to the crash site and Km 44 in the intercepts, raising survival odds to very high.The episode pulls no punches on dismissals: critiquing DIA analyst Robert Destatte's linguistic ambiguities, DPAA contractor Guy Bentz's 2016 review flaws (e.g., incorrect AOR, ignored correlations and forensics like buried revolvers implying egress), and DPAA's resource excuses. Insights from interviews with Dr. Roger Shields, Sen. Bob Smith, and Lt. Col. Lionel Blau, plus recent media coverage, reveal systemic failures. We conclude with calls for renewed probes, VNOSMP veteran interviews, and honoring the unfulfilled 1996 Wold pledge—because the truth can't stay buried forever.

Lambda lambda lambda, nerds! Sim, estamos de volta para mais um papo maluco sem qualquer compromisso com a pauta (além da diversão, conversa mole e opiniões fecais duvidosas!).  Neste NerdCast, Alottoni, Didi Braguinha, Sr. K, Pedro Duarte, Katiucha Barcelos e Tucano divagam do pagode brasileiro da década de 1990 ao "mamilaçogate" do Kratos live-action, passando pelo gosto musical elevado do nosso amado Fredola e até por TRAPAÇA em Olimpíada?! Oscar de Pijama e NerdStore Acompanhe a maior premiação do cinema com a gente! Dia 15 de março, no YouTube do Jovem Nerd: https://jovemnerd.short.gy/Oscar_Pijama_live NerdStore agora na LOLJA! Acesse o catálogo em: www.nerdstore.com.br Elo O cartão da torcida brasileira: https://jovemnerd.short.gy/elo_nc1 A Própria Carne Sessão de bate-papo e autógrafos da HQ e livro do filme dia 9 de março (segunda-feira), na Galeria Magalu (Avenida Paulista - São Paulo). Saiba mais: https://www.instagram.com/p/DVgl90Xkf23/ Magalu Cloud Ouça o Nerd na Cloud 23: https://jovemnerd.com.br/podcasts/nerd-na-cloud/green-it-o-futuro-da-sustentabilidade-na-nuvem CITADO NO PROGRAMA: Mamilaço do Kratos em God of War  CONFIRA OS OUTROS CANAIS DO JOVEM NERD E-MAILS Mande suas críticas, elogios, sugestões e caneladas para nerdcast@jovemnerd.com.br APP JOVEM NERD: Google Play Store | Apple App Store ARTE DA VITRINE: Randall Random Baixe a versão Wallpaper da vitrine EDIÇÃO COMPLETA POR RADIOFOBIA PODCAST E MULTIMÍDIA Learn more about your ad choices. Visit megaphone.fm/adchoices

Discussing WUTHERING HEIGHTS by Emily Brontë + three of its adaptations, Emerald Fennel's WUTHERING HEIGHTS (2026), the Filipino film HIHINTAYIN KITA SA LANGIT (I WILL WAIT FOR YOU IN HEAVEN) [1991年] and finally the original WUTHERING HEIGHTS (1939年). HQ episode only for patrons along with an exclusive episode of SIRENS: patreon.com/imsopopular

Wednesday 5pm Hour: On the DeRush-Hour, Jason goes "In Depth" with Chris Abbot, CEO of Pivot Bio, a billion-dollar Ag Tech company about why they're moving their HQ to Minnesota. Then Greg Swan joins the show for his monthly visit with a new AI application that may blow your mind.

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Tye Erskin is a stand-up comedian based in Columbus, Ohio!

In Japan, "engagement" is a loanword (エンゲージメント), which is a neat metaphor: the sound exists, but the meaning can feel fuzzy at work. Yet global surveys still measure it, and Japan often lands near the bottom — Gallup's recent Japan spotlight reporting puts engaged employees at about 7%.  So how do you lift engagement in a culture that's cautious with self-scoring, allergic to over-promising, and hyper-sensitive to responsibility? You stop chasing a Western definition and start building the three drivers that actually move hearts and behaviour in Japanese teams: manager trust, senior leadership credibility, and organisational pride — with one emotional trigger that lights the fuse: feeling valued by your boss. What does "employee engagement" actually mean in Japan? In Japan, engagement shows up less as loud enthusiasm and more as quiet commitment, discretionary effort, and loyalty to the team. If you use a US-style definition ("I love my company and I'll shout it from the rooftops"), you'll undercount people who are genuinely doing the work and protecting the brand. This is why Japan can look "low engagement" on dashboards while still delivering operational excellence at firms like Toyota, Panasonic, and major banks — effort is often expressed through endurance, quality, and risk reduction rather than overt positivity. Post-pandemic (2020–2025), hybrid work also reduced informal connection, which matters disproportionately in relationship-heavy cultures. Do now: Define engagement behaviours in your context (e.g., proactive problem-solving, collaboration, customer ownership) and measure those, not just imported survey language. Why do Gallup-style engagement surveys often score Japan so low? Japan often scores low because translation and culture collide with how questions are interpreted and how people self-rate. Gallup's Japan-focused reporting highlights that engagement is extremely low by global comparison, and that disengagement is widespread.  Two common traps: Translation nuance: Questions like "Would you recommend this company to friends/family?" carry responsibility risk in Japan. If the friend hates the job (or the company hates the friend), the recommender feels accountable. Perfectionism penalty: Japanese respondents frequently avoid top-box scores. Luxury and service sectors have long observed that Japanese satisfaction ratings can be systematically harsher than other markets (the "Japan factor"). Do now: Audit survey translations with bilingual leaders, add Japan-relevant behavioural questions, and interpret trends (up/down) more than raw global ranking. How do you measure engagement without getting fooled by the numbers? Use a "triangulation" approach: one survey, a few operational signals, and regular manager check-ins. In multinationals, HQ loves a single engagement score — but Japan needs a dashboard that respects context. Practical measurement mix (2024–2026 reality check): Survey pulse: Keep it short; use Gallup Q12-style consistency, but validate Japanese phrasing. Operational indicators: regretted attrition, internal mobility, absenteeism, safety incidents, quality defects, customer complaints, and project cycle time. Manager "meaning" rhythm: monthly 1:1s, quarterly career conversations, and team retrospectives (especially important in hybrid setups). Compare apples-to-apples: Japan vs. Japan (trend), not Japan vs. Denmark (culture). Do now: Pick 5 metrics max, publish them quarterly, and make every manager accountable for one engagement input (e.g., 2 meaningful 1:1s per month). What are the three strongest drivers of engagement in Japanese teams? The biggest levers are (1) satisfaction with the immediate manager, (2) belief in senior leadership, and (3) pride in the organisation. These drivers are universal, but they hit harder in Japan because trust, clarity, and belonging are the social glue. Immediate manager: People don't quit companies, they quit bosses — and in Japan, the boss is also the cultural translator. Gallup research often points to managers as a major factor in team engagement variance.  Senior leadership credibility: If the "why" is vague, Japanese employees assume hidden risk. Clear direction reduces anxiety and boosts execution. Organisational pride: Internal rivalries (Sales vs Marketing vs IT) kill pride. Strong leaders unite teams against external competitors (Rakuten vs Amazon, incumbents vs startups like Mercari, etc.). Do now: Run a 30-day leadership reset: manager 1:1 cadence, CEO "why" messaging, and a pride campaign celebrating customer impact and team wins. What's the emotional trigger that flips people from "showing up" to "leaning in"? Feeling valued by your boss is the fastest emotional accelerator of engagement. People don't guess they're valued — they need to hear it clearly, consistently, and specifically. In Japan, "valued" lands best when it's concrete and modest: "Your analysis prevented a customer escalation." "Because you coached the new hire, the team's cycle time improved." "I trust you with this client because your prep is world-class." Tie value to meaning: how the work helps customers, protects colleagues, or strengthens reputation. This is where confidence, enthusiasm, and ownership start to appear — without forcing extroversion. Do now: Every manager: give 2 pieces of specific recognition per person per month, linked to business impact (customer, quality, speed, risk, revenue). What should leaders in multinationals do when HQ demands Japan "fix engagement"? Push back with data, reframe expectations, and localise the playbook — without looking defensive. Global leaders often see Japan at the bottom and assume leadership failure; the smarter move is to explain the measurement context andshow your improvement plan. A practical HQ message: "Japan's baseline is structurally lower due to survey interpretation and scoring norms." "We'll improve trend lines via manager capability, leadership clarity, and organisational pride." "We'll report both engagement and behavioural indicators quarterly." Gallup's Japan spotlight materials reinforce that Japan's disengagement is economically meaningful — which gives you permission to act decisively.  Do now: Agree with HQ on a 12-month target focused on movement (e.g., +2–4 points) and manager behaviours, not a magical leap to US levels. Final wrap If you want engagement to rise in Japan, stop arguing about the katakana and start building the conditions where people feel safe, valued, and proud. Fix the immediate manager experience, make senior leadership's "why" painfully clear, and create pride by uniting teams against external competitors. The best part: these levers cost zero yen — but they do require leadership discipline. Optional FAQs Is there a Japanese word for "engagement" at work? Not a perfect one — that's why many firms keep エンゲージメント and define it behaviourally. Agree on what engagement looks like day-to-day, then measure those actions. Should Japan use the same engagement questions as the US? Not without localisation. Translate for meaning (not words), test with Japanese employees, and adjust "recommend to friends/family" style items carefully. What's the single fastest engagement improvement tactic? Manager behaviour. Increase high-quality 1:1s and specific recognition; managers are a major lever in engagement differences.  Why do Japanese teams avoid giving 10/10 scores? Perfectionism and modesty norms. Use trend-based targets and multiple indicators rather than chasing top-box scores. Author bio Dr. Greg Story, Ph.D. in Japanese Decision-Making, is President of Dale Carnegie Tokyo Training and Adjunct Professor at Griffith University. He is a two-time winner of the Dale Carnegie "One Carnegie Award" (2018, 2021) and recipient of the Griffith University Business School Outstanding Alumnus Award (2012). As a Dale Carnegie Master Trainer, Greg is certified to deliver globally across all leadership, communication, sales, and presentation programs, including Leadership Training for Results. Greg has written several books, including three best-sellers — Japan Business Mastery, Japan Sales Mastery, and Japan Presentations Mastery — along with Japan Leadership Mastery and How to Stop Wasting Money on Training. His works have been translated into Japanese, including Za Eigyō (ザ営業), Purezen no Tatsujin (プレゼンの達人), and others.

Seth and Sean talk about the Rockets' loss to the Heat on Saturday, Jeremiyah Love's 40 time ending the hope he might fall in the draft, react to Ian Rapoport saying an extension for Will Anderson Jr. could be coming sooner than everyone thinks, go through the day's Headlines, react to breaking news that the Texans are trading away OL Tytus Howard, give credit where it's due in Acknowledge Me, see what Vinnie Iyer of the Sporting News has the Texans doing with the 28th pick in today's Mock Draft Injection, circle back to the Texans trading away Tytus Howard, look at what else they may do along the O-Line, discuss if this all started with Tytus agitating for an extension, if an extension for Will Anderson could be coming soon-ish, if the Texans could/should flip the 5th round pick they got from trading Tytus for a player like David Montgomery, assess their thoughts on Aaron Wilson's post-combine Texans bullet points, discuss PenderPoll results indicating how Texans fans are feeling about the Tytus Howard trade, discuss the Texans new HQ's bodaciousness, and talk with Reggie and Lopez about the breaking news that the Texans have traded a 5th round pick for RB David Montgomery.

Seth and Sean assess their thoughts on Aaron Wilson's post-combine Texans bullet points, discuss PenderPoll results indicating how Texans fans are feeling about the Tytus Howard trade, discuss the Texans new HQ's bodaciousness, and talk with Reggie and Lopez about the breaking news that the Texans have traded a 5th round pick for RB David Montgomery.

Last year, Hope Darst joined us in person here at the MultiTracks.com HQ!Hope has written powerful songs like “Peace Be Still,” “If The Lord Builds the House,” and more recently, “Mighty Name of Jesus.” She speaks on her heart for the local church and her passionate for writing songs that help worship leaders lead from a place of integrity and authority. Enjoy this conversation and live recordings of songs from her latest record, In The Mighty Name of Jesus. Resources for Hope Darst: https://www.multitracks.com/artists/Hope-Darst/Follow us @multitracks // @multitracksgospel // @leadworshipwellwww.multitracks.com

00989B台新美國非投等債（本基金之配息來源可能為收益平準金且無保證收益及配息）用心挑選票息6.5%以上美國企業債採月配息機制，讓你掌握收益機會了解更多

Groove Radio's Official TOP 5 GROOVES Weekly Chart Hosted by Swedish Egil - Week of 03-02-26 01 SCRIPT - Headshake (Radio Edit) - Affairs 02 Sydney Blu - Never Let Me Down (ft. Erika Perry) - Mau5trap 03 Odd Mob - Never Alone (ft. Lizzy Land) (Radio Edit) - Experts Only 04 Trace - Good Time (Extended Mix) - 8Bit Records 05 SkiiTour - Lose Our Heads - Box of Cats -- About GROOVE RADIO Groove Radio is the Rhythm of the Future - always on in HQ audio with electronic dance music and DJ culture LIVE from Los Angeles. Curated by legendary radio programmer, Swedish Egil, Groove Radio celebrates 30+ years featuring iconic and emerging talent from the early classics of 90's techno and house music to the sounds of today's dance music festivals. -- For more info visit:  grooveradio.com c2026 Groove Radio. All rights reserved.

In this episode of the FocusCore Podcast, host David Sweet speaks with Brent Conkle (President and CEO) and Dan Ring of Global Leadership Solutions about the high cost of leadership mishires, especially their impact on morale, engagement, and turnover. They discuss Japan's tight talent market and introduce their Second Opinion Service (SOS), which uses the Garuda AS suite of assessments to measure universal leadership competencies, stress sensitivity, and role fit with reliable, evidence-based results that can be customized to company and local culture. The conversation covers common hiring biases (prestige, likability, referrals), the value of data to align local and HQ decisions, and how the same methodology can support selection for management programs, succession planning, and onboarding through transition coaching. They also discuss AI's role in hiring and share advice on making better critical hires.The 2026 FocusCore Salary Guide is here: 2026 Salary GuideIn this episode you will hear:The underestimated impact of leadership on team morale and engagementThe critical role of the Second Opinion Service in improving recruitment outcomesStrategies for successful onboarding and reducing turnoverThe relevance of stress sensitivity in high-pressure work environments like JapanThe future of strategic HR and how AI could reshape candidate assessmentAbout Brent:Brent Conkle is the President and CEO of Global Leadership Solutions Co., Ltd., bringing over 25 years of global experience in HR leadership, consulting, talent acquisition, and executive coaching across North America, Europe, and Asia. A certified HR professional and executive, leadership, and career coach, Brent is known for helping leaders cut through complexity, lead transformational change, and elevate performance with a strong focus on measurable ROI and long-term impact.Throughout his career, Brent has supported startups, corporate turnarounds, and major APAC transformation initiatives, consistently driving sustainable growth by enhancing employee engagement, retention, and organizational performance. His approach centers on developing stronger leaders and building highly engaged, high-performing workplaces.In addition to his role as CEO, Brent has served as a Regional Global Employment Advisor at the U.S. Department of State, where he supported foreign service officers and eligible family members with career strategy and professional development across international postings. He also works as a Transition & Executive Coach with Randstad RiseSmart, guiding professionals through strategic career transitions both within and beyond their organizations.Brent is the co-author of The Practical Leader: A Guide to Creating Highly-Engaged and High-Performing Organizations, offering practical tools and insights for workforce development. His mission is to coach global leaders to achieve outstanding results in their careers while creating organizations that are exceptional places to work.About Dan:Daniel Ring is an experienced Human Resources professional with over 12 years of expertise across Europe and Asia. He has a strong background in strategic HR initiatives, particularly in change management and talent development, and is passionate about leveraging technology to improve workplace practices and enhance employee experiences.In his role as a consultant with Global Leadership Solutions, Daniel works closely with organizations to support leadership development and address challenges such as organizational change and employee engagement. He focuses on equipping leaders with the tools and strategies needed to align people practices with business objectives.Daniel's career has included roles such as Senior HR Business Partner at Broadridge Financial Solutions and Head of HR at NatWest Markets Japan. In these positions, he helped implement global career frameworks, redesign leadership structures, and streamline HR operations. His regional experience has given him a broad understanding what it takes to deliver for diverse, international organizations.Daniel is committed to helping organizations and their leaders develop effective strategies for building strong teams and achieving sustainable success in today's evolving business landscape.Connect with Brent:LinkedIn: https://www.linkedin.com/in/brentconkle/Global Leadership Solutions: https://getglsjapan.com/Connect with Dan:LinkedIn: https://www.linkedin.com/in/danpring/Connect with David Sweet:LinkedIn: https://www.linkedin.com/in/drdavidsweet/Twitter: https://twitter.com/focuscorejpFacebook: :https://www.facebook.com/focuscoreasiaInstagram: https://www.instagram.com/focuscorejp/Website: https://www.japan.focuscoregroup.com/This podcast was proudly produced by Lisa Yasuda.“Doin' the Uptown Lowdown,” used by permission of Christopher Davis-Shannon. To find out more, check out www.thetinman.co. Support independent musicians and artists.

Dans l'actu des nouvelles technologies et de l'accessibilité cette semaine : Du côté des applications et du web Sortie de SuperNova Version 25, nouveautés. Paper2Audio - appli Android pour convertir du texte en voix HQ pour la lecture. Version iPhone. Firefox V148 : Prise en charge améliorée des lecteurs d'écran lors de la lecture de formules mathématiques dans des documents PDF intégrés. Emmabuntüs renforce l'accessibilité avec les versions Debian Édition 6 1.00 et 5 1.05. 2 nouveautés pour VoiceOver dans la version 26.4 beta 2 d'iOS. Visual Intelligence : comment Apple dessine sa nouvelle stratégie IA. Vision artificielle et compréhension des interface - Ferret-UI Lite, le modèle IA local d'Apple qui écrase des rivaux 24 fois plus gros. Théâtre Mogador de Paris, des outils numériques pour les DV. Astuce de François pour WhatsApp version iOS : ajouter des contacts au carnet d'adresse. L'accessibilité de l'application Mail d'Orange s'est très fortement dégradée. Le reste de l'actu Samsung présente les Galaxy S26, S26+ et S26 Ultra : voici les 3 grandes nouveautés. Foire Aux Questions Cette semaine une question de Anne-Sophie à propos de l'inaccessibilité de Pronote et Skolengo. Association APIDV. Remerciements Cette semaine, nous remercions Anne-Sophie, Caho97232, Dominique, Nicolas et Vincent pour leurs infos ou leur dons. Si vous souhaitez vous aussi nous envoyer de l'info ou nous soutenir : Pour nous contactez ou nous envoyez des infos, passez par le formulaire de contact sur la page oxytude.org/contact. Pour nous soutenir via Paypal, c'est sur la page paypal.me/oxytude. Pour vos achats sur Amazon, passez par notre lien affilié oxytude.org/amazon.. Pour animer cet épisode Cédric, François et Philippe.

You ever want to grab someone by the shoulders and say: “Why don't you see what I see?!”Because YOU can see it... so clearly!You can see the confidence, the money, the relief, the future version of them that feels free...And they're just… blinking at you.

In this episode, Johnny sits down with Otto Vazquez, Global Head of Talent Acquisition at Sartorius, to explore what it really means to take a scientific approach to hiring in 2026.From unifying global TA teams without forcing “HQ best practice,” to reducing agency spend from €3M to €333K, Otto shares how data, structure, and smart automation helped scale hiring capacity without increasing budget.Practical, grounded lessons for TA leaders navigating the AI era.

On this week's episode of the World's Greatest Action Sports Podcast, Chris and Todd are finally back together at Monday M.A.S.S. HQ for a solid episode where they talk about Olympic judging, the good the bad and the ugly in Italy, Red Bull Heavy Metal Boston, King & Queen of Corbet's 2026, Todd goes mega-rant, Matt Meola Surf Doc rips, North Shore floods, Kolohe Andino and family survive gnarly housefire, a bunch of sponsorship news, Ryan Sheckler randomly on Zero, Mexico drug war strands surfers and skaters, lots of questions answered, and so much more. Presented By:   Sun Bum @sunbum Odie's Pizza @odiespizza Mammoth Mountain @mammothmountain VEIA @veiasupplies New Greens @newgreens Spy Optic @spyoptic Hansen Surfboards @hansensurf Bachan's Japanese BBQ Sauce @trybachans Pannikin Coffee And Tea @pannikincoffeeandtea Bubs Naturals @bubsnaturals Mint Tours @minttours Die Cut Stickers @diecutstickersdotcom Vesyl Shipping @vesylapp   Camp Shred is coming! March 7-8 at San Elijo Campgrounds, Cardiff By The Sea, California.  

Twickenham. 2026.And England were dismantled.

Last time we spoke about General Zhukov's arrival to the Nomohan incident. The Kwantung Army's inexperienced 23rd Division, under General Komatsubara, suffered heavy losses in failed offensives, including Colonel Yamagata's assault and the annihilation of Lieutenant Colonel Azuma's detachment, resulting in around 500 Japanese casualties. Tensions within the Japanese command intensified as Kwantung defied Tokyo's restraint, issuing aggressive orders like 1488 and launching a June 27 air raid on Soviet bases, destroying dozens of aircraft and securing temporary air superiority. This provoked Moscow's fury and rebukes from Emperor Hirohito. On June 1, Georgy Zhukov, a rising Red Army tactician and tank expert, was summoned from Minsk. Arriving June 5, he assessed the 57th Corps as inadequate, relieved Commander Feklenko, and took charge of the redesignated 1st Army Group. Reinforcements included mechanized brigades, tanks, and aircraft. Japanese intelligence misread Soviet supply convoys as retreats, underestimating Zhukov's 12,500 troops against their 15,000. By July, both sides poised for a massive clash, fueled by miscalculations and gekokujo defiance.   #190 Zhukov Unleashes Tanks at Nomohan Welcome to the Fall and Rise of China Podcast, I am your dutiful host Craig Watson. But, before we start I want to also remind you this podcast is only made possible through the efforts of Kings and Generals over at Youtube. Perhaps you want to learn more about the history of Asia? Kings and Generals have an assortment of episodes on history of asia and much more  so go give them a look over on Youtube. So please subscribe to Kings and Generals over at Youtube and to continue helping us produce this content please check out www.patreon.com/kingsandgenerals. If you are still hungry for some more history related content, over on my channel, the Pacific War Channel where I cover the history of China and Japan from the 19th century until the end of the Pacific War. At 4:00 a.m. on July 1, 15,000 heavily laden Japanese troops began marching to their final assembly and jump-off points. The sun rose at 4:00 a.m. and set at 9:00 p.m. that day, but the Japanese advance went undetected by Soviet/MPR commanders, partly because the June 27 air raid had temporarily cleared Soviet reconnaissance from the skies. On the night of July 1, Komatsubara launched the first phase. The 23rd Division, with the Yasuoka Detachment, converged on Fui Heights, east of the Halha River, about eleven miles north of its confluence with the Holsten. The term "heights" is misleading here; a Japanese infantry colonel described Fui as a "raised pancake" roughly one to one-and-a-half miles across, about thirty to forty feet higher than the surrounding terrain. For reasons not fully explained, the small Soviet force stationed on the heights was withdrawn during the day on July 1, and that night Fui Heights was occupied by Komatsubara's forces almost unopposed. This caused little stir at Zhukov's headquarters. Komatsubara bided his time on July 2.   On the night of July 2–3, the Japanese achieved a brilliant tactical success. A battalion of the 71st Infantry Regiment silently crossed the Halha River on a moonless night and landed unopposed on the west bank opposite Fui Heights. Recent rains had swollen the river to 100–150 yards wide and six feet deep, making crossing difficult for men, horses, or vehicles. Combat engineers swiftly laid a pontoon bridge, completing it by 6:30 a.m. on July 3. The main body of Komatsubara's 71st and 72nd Infantry Regiments (23rd Division) and the 26th Regiment (7th Division) began a slow, arduous crossing. The pontoon bridge, less than eight feet wide, was a bottleneck, allowing only one truck at a time. The attackers could not cross with armored vehicles, but they did bring across their regimental artillery, 18 x 37-mm antitank guns, 12 x 75-mm mountain guns, 8 x 75-mm field guns, and 4 x 120-mm howitzers, disassembled, packed on pack animals, and reassembled on the west bank. The crossing took the entire day, and the Japanese were fortunate to go without interception. The Halha crossing was commanded personally by General Komatsubara and was supported by a small Kwantung Army contingent, including General Yano (deputy chief of staff), Colonel Hattori, and Major Tsuji from the Operations Section. Despite the big air raid having alerted Zhukov, the initial Japanese moves from July 1–3 achieved complete tactical surprise, aided by Tsuji's bold plan. The first indication of the major offensive came when General Yasuoka's tanks attacked predawn on July 3. Yasuoka suspected Soviet troops south of him attempting to retreat across the Halha to the west bank, and he ordered his tanks to attack immediately, with infantry not yet in position. The night's low clouds, no moon, and low visibility—along with a passing thunderstorm lighting the sky—made the scene dramatic. Seventy Japanese tanks roared forward, supported by infantry and artillery, and the Soviet 149th Infantry Regiment found itself overwhelmed. Zhukov, hearing of Yasuoka's assault but unaware that Komatsubara had crossed the Halha, ordered his armor to move northeast to Bain Tsagan to confront the initiative. There, Soviet armor clashed with Japanese forces in a chaotic, largely uncoordinated engagement. The Soviet counterattacks, supported by heavy artillery, halted much of the Japanese momentum, and by late afternoon Japanese infantry had to dig in west of the Halha. The crossing had been accomplished without Soviet reconnaissance detecting it in time, but Zhukov's counterattacks, the limits of Japanese armored mobility across the pontoon, and the heat and exhaustion of the troops constrained the Japanese effort. By the afternoon of July 3, Zhukov's forces were pressing hard, and the Japanese momentum began to stall. Yasuoka's tanks, supported by a lack of infantry and the fatigue and losses suffered by the infantry, could not close the gap to link with Komatsubara's forces. The Type 89 tanks, designed for infantry support, were ill-suited to penetrating Soviet armor, especially when faced with BT-5/BT-7 tanks and strong anti-tank guns. The Type 95 light tanks were faster but lightly armored, and suffered heavily from Soviet fire and air attacks. Infantry on the western bank struggled to catch up with tanks, shot through by Soviet artillery and armor, while the 64th Regiment could not keep pace with the tanks due to the infantry's lack of motorized transport. By late afternoon, Yasuoka's advance stalled far short of the river junction and the Soviet bridge. The infantry dug in to withstand Soviet bombardment, and the Japanese tank regiments withdrew to their jump-off points by nightfall. The Japanese suffered heavy losses in tanks, though some were recovered and repaired; by July 9, KwAHQ decided to withdraw its two tank regiments from the theater. Armor would play no further role in the Nomonhan conflict. The Soviets, by contrast, sustained heavier tank losses but began to replenish with new models. The July offensive, for Kwantung Army, proved a failure. Part of the failure stemmed from a difficult blend of terrain and logistics. Unusually heavy rains in late June had transformed the dirt roads between Hailar and Nomonhan into a mud-filled quagmire. Japanese truck transport, already limited, was so hampered by these conditions that combat effectiveness suffered significantly. Colonel Yamagata's 64th Infantry Regiment, proceeding on foot, could not keep pace with or support General Yasuoka's tanks on July 3–4. Komatsubara's infantry on the west bank of the Halha ran short of ammunition, food, and water. As in the May 28 battle, the main cause of the Kwantung Army's July offensive failure was wholly inadequate military intelligence. Once again, the enemy's strength had been seriously underestimated. Moreover, a troubling realization was dawning at KwAHQ and in the field: the intelligence error was not merely quantitative but qualitative. The Soviets were not only more numerous but also far more potent than anticipated. The attacking Japanese forces initially held a slight numerical edge and enjoyed tactical surprise, but the Red Army fought tenaciously, and the weight of Soviet firepower proved decisive. Japan, hampered by a relative lack of raw materials and industrial capacity, could not match the great powers in the quantitative production of military materiel. Consequently, Japanese military leaders traditionally emphasized the spiritual superiority of Japan's armed forces in doctrine and training, often underestimating the importance of material factors, including firepower. This was especially true of the army that had carried the tactic of the massed bayonet charge into World War II. This "spiritual" combat doctrine arose from necessity; admitting material superiority would have implied defeat. Japan's earlier victories in the Sino-Japanese War, Russo-Japanese War, the Manchurian incident, and the China War, along with legendary medieval victories over the Mongol hordes, seemed to confirm the transcendent importance of fighting spirit. Only within such a doctrine could the Imperial Japanese Army muster inner strength and confidence to face formidable enemies. This was especially evident against Soviet Russia, whose vast geography, population, and resources loomed large. Yet what of its spirit? The Japanese military dismissed Bolshevism as a base, materialist philosophy utterly lacking spiritual power. Consequently, the Red Army was presumed to have low morale and weak fighting effectiveness. Stalin's purges only reinforced this belief. Kwantung Army's recent experiences at Nomonhan undermined this outlook. Among ordinary soldiers and officers alike, from the 23rd Division Staff to KwAHQ—grim questions formed: Had Soviet materiel and firepower proven superior to Japanese fighting spirit? If not, did the enemy possess a fighting spirit comparable to their own? To some in Kwantung Army, these questions were grotesque and almost unthinkable. To others, the implications were too painful to face. Perhaps May and July's combat results were an aberration caused by the 23rd Division's inexperience. Nevertheless, a belief took hold at KwAHQ that this situation required radical rectification. Zhukov's 1st Army Headquarters, evaluating recent events, was not immune to self-criticism and concern for the future. The enemy's success in transporting nearly 10,000 men across the Halha without detection—despite heightened Soviet alert after the June 27 air raid—revealed a level of carelessness and lack of foresight at Zhukov's level. Zhukov, however, did not fully capitalize on Komatsubara's precarious position on July 4–5. Conversely, Zhukov and his troops reacted calmly in the crisis's early hours. Although surprised and outnumbered, Zhukov immediately recognized that "our trump cards were the armored detachments, and we decided to use them immediately." He acted decisively, and the rapid deployment of armor proved pivotal. Some criticized the uncoordinated and clumsy Soviet assault on Komatsubara's infantry on July 3, but the Japanese were only a few hours' march from the river junction and the Soviet bridge. By hurling tanks at Komatsubara's advance with insufficient infantry support, Mikhail Yakovlev (11th Tank Brigade) and A. L. Lesovoi (7th Mechanized Brigade) incurred heavy losses. Nonetheless, they halted the Japanese southward advance, forcing Komatsubara onto the defensive, from which he never regained momentum. Zhukov did not flinch from heavy casualties to achieve his objectives. He later told General Dwight D. Eisenhower that if the enemy faced a minefield, their infantry attacked as if it did not exist, treating personnel mine losses as equal to those that would have occurred if the Germans defended the area with strong troops rather than minefields. Zhukov admitted losing 120 tanks and armored cars that day—a high price, but necessary to avert defeat. Years later, Zhukov defended his Nomonhan tactics, arguing he knew his armor would suffer heavy losses, but that was the only way to prevent the Japanese from seizing the bridge at the river confluence. Had Komatsubara's forces advanced unchecked for another two or three hours, they might have fought through to the Soviet bridge and linked with the Yasuoka detachment, endangering Zhukov's forces. Zhukov credited Yakovlev, Lesovoi, and their men with stabilizing the crisis through timely and self-sacrificing counterattacks. The armored car battalion of the 8th MPR Cavalry Division also distinguished itself in this action. Zhukov and his tankmen learned valuable lessons in those two days of brutal combat. A key takeaway was the successful use of large tank formations as an independent primary attack force, contrary to then-orthodox doctrine, which saw armor mainly as infantry support and favored integrating armor into every infantry regiment rather than maintaining large, autonomous armored units. The German blitzkrieg demonstrations in Poland and Western Europe soon followed, but, until then, few major armies had absorbed the tank-warfare theories championed by Basil Liddell-Hart and Charles de Gaulle. The Soviet high command's leading proponent of large-scale tank warfare had been Marshal Mikhail Tukhachevsky. His execution in 1937 erased those ideas, and the Red Army subsequently disbanded armored divisions and dispersed tanks among infantry, misapplying battlefield lessons from the Spanish Civil War. Yet Zhukov was learning a different lesson on a different battlefield. The open terrain of eastern Mongolia favored tanks, and Zhukov was a rapid learner. The Russians also learned mundane, but crucial, lessons: Japanese infantry bravely clambering onto their vehicles taught Soviet tank crews to lock hatch lids from the inside. The BT-5 and BT-7 tanks were easily set aflame by primitive hand-thrown firebombs, and rear deck ventilation grills and exhaust manifolds were vulnerable and required shielding. Broadly, the battle suggested to future Red Army commander Zhukov that tank and motorized troops, coordinated with air power and mobile artillery, could decisively conduct rapid operations. Zhukov was not the first to envision combining mobile firepower with air and artillery, but he had rare opportunities to apply this formula in crucial tests. The July offensive confirmed to the Soviets that the Nomonhan incident was far from a border skirmish; it signaled intent for further aggression. Moscow's leadership, informed by Richard Sorge's Tokyo network, perceived Japan's renewed effort to draw Germany into an anti-Soviet alliance as a dangerous possibility. Stalin and Vyacheslav Molotov began indicating to Joachim von Ribbentrop and Adolf Hitler that Berlin's stance on the Soviet–Japanese conflict would influence Soviet-German rapprochement considerations. Meanwhile, Moscow decided to reinforce Zhukov. Tens of thousands of troops and machines were ordered to Mongolia, with imports from European Russia. Foreign diplomats traveling the Trans-Siberian Railway reported eastbound trains jammed with personnel and matériel. The buildup faced a major bottleneck at Borzya, the easternmost railhead in the MPR, about 400 miles from the Halha. To prevent a logistics choke, a massive truck transport operation was needed. Thousands of trucks, half-tracks, gun-towing tractors, and other vehicles were organized into a continuous eight-hundred-mile, five-day shuttle run. The Trans-Baikal Military District, under General Shtern, supervised the effort. East of the Halha, many Japanese officers still refused to accept a failure verdict for the July offensive. General Komatsubara did not return to Hailar, instead establishing a temporary divisional HQ at Kanchuerhmiao, where his staff grappled with overcoming Soviet firepower. They concluded that night combat—long a staple of Japanese infantry tactics—could offset Soviet advantages. On July 7 at 9:30 p.m., a thirty-minute Japanese artillery barrage preceded a nighttime assault by elements of the 64th and 72nd Regiments. The Soviet 149th Infantry Regiment and supporting Mongolian cavalry were surprised and forced to fall back toward the Halha before counterattacking. Reinforcements arrived on both sides, and in brutal close-quarters combat the Japanese gained a partial local advantage, but were eventually pushed back; Major I. M. Remizov of the 149th Regiment was killed and later posthumously named a Hero of the Soviet Union. Since late May, Soviet engineers had built at least seven bridges across the Halha and Holsten Rivers to support operations. By July 7–8, Japanese demolition teams destroyed two Soviet bridges. Komatsubara believed that destroying bridges could disrupt Soviet operations east of the Halha and help secure the border. Night attacks continued from July 8 to July 12 against the Soviet perimeter, with Japanese assaults constricting Zhukov's bridgehead while Soviet artillery and counterattacks relentlessly pressed. Casualties mounted on both sides. The Japanese suffered heavy losses but gained some positions; Soviet artillery, supported by motorized infantry and armor, gradually pushed back the attackers. The biggest problem for Japan remained Soviet artillery superiority and the lack of a commensurate counter-battery capability. Japanese infantry had to withdraw to higher ground at night to avoid daytime exposure to artillery and tanks. On the nights of July 11–12, Yamagata's 64th Regiment and elements of Colonel Sakai Mikio's 72nd Regiment attempted a major assault on the Soviet bridgehead. Despite taking heavy casualties, the Japanese managed to push defenders back to the river on occasion, but Soviet counterattacks, supported by tiresome artillery and armor, prevented a decisive breakthrough. Brigade Commander Yakovlev of the 11th Armored, who led several counterattacks, was killed and later honored as a Hero of the Soviet Union; his gun stands today as a monument at the battlefield. The July 11–12 action marked the high-water mark of the Kwantung Army's attempt to expel Soviet/MPR forces east of the Halha. Komatsubara eventually suspended the costly night attacks; by that night, the 64th Regiment had suffered roughly 80–90 killed and about three times that number wounded. The decision proved controversial, with some arguing that he had not realized how close his forces had come to seizing the bridge. Others argued that broader strategic considerations justified the pause. Throughout the Nomonhan fighting, Soviet artillery superiority, both quantitative and qualitative, became painfully evident. The Soviet guns exacted heavy tolls and repeatedly forced Japanese infantry to withdraw from exposed positions. The Japanese artillery, in contrast, could not match the Red Army's scale. By July 25, Kwantung Army ended its artillery attack, a humiliating setback. Tokyo and Hsinking recognized the futility of achieving a decisive military victory at Nomonhan and shifted toward seeking a diplomatic settlement, even if concessions to the Soviet Union and the MPR were necessary. Kwantung Army, however, opposed negotiations, fearing it would echo the "Changkufeng debacle" and be read by enemies as weakness. Tsuji lamented that Kwantung Army's insistence on framing the second phase as a tie—despite heavy Soviet losses, revealed a reluctance to concede any territory. Differences in outlook and policy between AGS and Kwantung Army—and the central army's inability to impose its will on Manchukuo's field forces—became clear. The military establishment buzzed with stories of gekokujo (the superiority of the superior) within Kwantung Army and its relations with the General Staff. To enforce compliance, AGS ordered General Isogai to Tokyo for briefings, and KwAHQ's leadership occasionally distanced itself from AGS. On July 20, Isogai arrived at General Staff Headquarters and was presented with "Essentials for Settlement of the Nomonhan Incident," a formal document outlining a step-by-step plan for Kwantung Army to maintain its defensive position east of the Halha while diplomatic negotiations proceeded. If negotiations failed, Kwantung Army would withdraw to the boundary claimed by the Soviet Union by winter. Isogai, the most restrained member of the Kwantung Army circle, argued against accepting the Essentials, insisting on preserving Kwantung Army's honor and rejecting a unilateral east-bank withdrawal. A tense exchange followed, but General Nakajima ended the dispute by noting that international boundaries cannot be determined by the army alone. Isogai pledged to report the General Staff's views to his commander and take the Essentials back to KwAHQ for study. Technically, the General Staff's Essentials were not orders; in practice, however, they were treated as such. Kwantung Army tended to view them as suggestions and retained discretion in implementation. AGS hoped the Essentials would mollify Kwantung Army's wounded pride. The August 4 decision to create a 6 Army within Kwantung Army, led by General Ogisu Rippei, further complicated the command structure. Komatsubara's 23rd Division and nearby units were attached to the 6 Army, which also took responsibility for defending west-central Manchukuo, including the Nomonhan area. The 6 Army existed largely on paper, essentially a small headquarters to insulate KwAHQ from battlefield realities. AGS sought a more accountable layer of command between KwAHQ and the combat zone, but General Ueda and KwAHQ resented the move and offered little cooperation. In the final weeks before the last battles, General Ogisu and his small staff had limited influence on Nomonhan. Meanwhile, the European crisis over German demands on Poland intensified, moving into a configuration highly favorable to the Soviet Union. By the first week of August, it became evident in the Kremlin that both Anglo-French powers and the Germans were vying to secure an alliance with Moscow. Stalin knew now that he would likely have a free hand in the coming war in the West. At the same time, Richard Sorge, the Soviet master spy in Tokyo, correctly reported that Japan's top political and military leaders sought to prevent the escalation of the Nomonhan incident into an all-out war. These developments gave the cautious Soviet dictator the confidence to commit the Red Army to large-scale combat operations in eastern Mongolia. In early August, Stalin ordered preparations for a major offensive to clear the Nomonhan area of the "Japanese samurai who had violated the territory of the friendly Outer Mongolian people." The buildup of Zhukov's 1st Army Group accelerated still further. Its July strength was augmented by the 57th and 82nd Infantry Divisions, the 6th Tank Brigade, the 212th Airborne Brigade, numerous smaller infantry, armor, and artillery units, and two Mongolian cavalry divisions. Soviet air power in the area was also greatly strengthened. When this buildup was completed by mid-August, Zhukov commanded an infantry force equivalent to four divisions, supported by two cavalry divisions, 216 artillery pieces, 498 armored vehicles, and 581 aircraft. To bring in the supplies necessary for this force to launch an offensive, General Shtern's Trans-Baikal Military District Headquarters amassed a fleet of more than 4,200 vehicles, which trucked in about 55,000 tons of materiel from the distant railway depot at Borzya. The Japanese intelligence network in Outer Mongolia was weak, a problem that went unremedied throughout the Nomonhan incident. This deficiency, coupled with the curtailment of Kwantung Army's transborder air operations, helps explain why the Japanese remained ignorant of the scope of Zhukov's buildup. They were aware that some reinforcements were flowing eastward across the Trans-Siberian Railway toward the MPR but had no idea of the volume. Then, at the end of July, Kwantung Army Intelligence intercepted part of a Soviet telegraph transmission indicating that preparations were under way for some offensive operation in the middle of August. This caused a stir at KwAHQ. Generals Ueda and Yano suspected that the enemy planned to strike across the Halha River. Ueda's initial reaction was to reinforce the 23rd Division at Nomonhan with the rest of the highly regarded 7th Division. However, the 7th Division was Kwantung Army's sole strategic reserve, and the Operations Section was reluctant to commit it to extreme western Manchukuo, fearing mobilization of Soviet forces in the Maritime Province and a possible attack in the east near Changkufeng. The Kwantung Army commander again ignored his own better judgment and accepted the Operations Section's recommendation. The main strength of the 7th Division remained at its base near Tsitsihar, but another infantry regiment, the 28th, was dispatched to the Nomonhan area, as was an infantry battalion from the Mukden Garrison. Earlier, in mid-July, Kwantung Army had sent Komatsubara 1,160 individual replacements to make up for casualties from earlier fighting. All these reinforcements combined, however, did little more than replace losses: as of July 25, 1,400 killed (including 200 officers) and 3,000 wounded. Kwantung Army directed Komatsubara to dig in, construct fortifications, and adopt a defensive posture. Colonel Numazaki, who commanded the 23rd Division's Engineer Regiment, was unhappy with the defensive line he was ordered to fortify and urged a slight pullback to more easily defensible terrain. Komatsubara, however, refused to retreat from ground his men had bled to take. He and his line officers still nourished hope of a revenge offensive. As a result, the Japanese defensive positions proved to be as weak as Numazaki feared. As Zhukov's 1st Army Group prepared to strike, the effective Japanese strength at Nomonhan was less than 1.5 divisions. Major Tsuji and his colleagues in the Operations Section had little confidence in Kwantung Army's own Intelligence Section, which is part of the reason why Tsuji frequently conducted his own reconnaissance missions. Up to this time it was gospel in the Japanese army that the maximum range for large-scale infantry operations was 125–175 miles from a railway; anything beyond 200 miles from a railway was considered logistically impossible. Since Kwantung Army had only 800 trucks available in all of Manchukuo in 1939, the massive Soviet logistical effort involving more than 4,200 trucks was almost unimaginable to the Japanese. Consequently, the Operations Staff believed it had made the correct defensive deployments if a Soviet attack were to occur, which it doubted. If the enemy did strike at Nomonhan, it was believed that it could not marshal enough strength in that remote region to threaten the reinforced 23rd Division. Furthermore, the 7th Division, based at Tsitsihar on a major rail line, could be transported to any trouble spot on the eastern or western frontier in a few days. KwAHQ advised Komatsubara to maintain a defensive posture and prepare to meet a possible enemy attack around August 14 or 15. At this time, Kwantung Army also maintained a secret organization codenamed Unit 731, officially the Epidemic Prevention and Water Purification Department of the Kwantung Army. Unit 731 specialized in biological and chemical warfare, with main facilities and laboratories in Harbin, including a notorious prison-laboratory complex. During the early August lull at Nomonhan, a detachment from Unit 731 infected the Halha River with bacteria of an acute cholera-like strain. There are no reports in Soviet or Japanese accounts that this attempted biological warfare had any effect. In the war's final days, Unit 731 was disbanded, Harbin facilities demolished, and most personnel fled to Japan—but not before they gassed the surviving 150 human subjects and burned their corpses. The unit's commander, Lieutenant General Ishii Shiro, kept his men secret and threatened retaliation against informers. Ishii and his senior colleagues escaped prosecution at the Tokyo War Crimes Trials by trading the results of their experiments to U.S. authorities in exchange for immunity. The Japanese 6th Army exerted some half-hearted effort to construct defensive fortifications, but scarcity of building materials, wood had to be trucked in from far away—helped explain the lack of enthusiasm. More importantly, Japanese doctrine despised static defense and favored offense, so Kwantung Army waited to see how events would unfold. West of the Halha, Zhukov accelerated preparations. Due to tight perimeter security, few Japanese deserters, and a near-absence of civilian presence, Soviet intelligence found it hard to glean depth on Japanese defensive positions. Combat intelligence could only reveal the frontline disposition and closest mortar and artillery emplacements. Aerial reconnaissance showed photographs, but Japanese camouflage and mock-ups limited their usefulness. The new commander of the 149th Mechanized Infantry Regiment personally directed infiltration and intelligence gathering, penetrating Japanese lines on several nights and returning crucial data: Komatsubara's northern and southern flanks were held by Manchukuoan cavalry, and mobile reserves were lacking. With this information, Zhukov crafted a plan of attack. The main Japanese strength was concentrated a few miles east of the Halha, on both banks of the Holsten River. Their infantry lacked mobility and armor, and their flanks were weak. Zhukov decided to split the 1st Army Group into three strike forces: the central force would deliver a frontal assault to pin the main Japanese strength, while the northern and southern forces, carrying the bulk of the armor, would turn the Japanese flanks and drive the enemy into a pocket to be destroyed by the three-pronged effort. The plan depended on tactical surprise and overwhelming force at the points of attack. The offensive was to begin in the latter part of August, pending final approval from Moscow. To ensure tactical surprise, Zhukov and his staff devised an elaborate program of concealment and deception, disinformation. Units and materiel arriving at Tamsag Bulak toward the Halha were moved only at night with lights out. Noting that the Japanese were tapping telephone lines and intercepting radio messages, 1st Army Headquarters sent a series of false messages in an easily decipherable code about defensive preparations and autumn-winter campaigning. Thousands of leaflets titled "What the Infantryman Should Know about Defense" were distributed among troops. About two weeks before the attack, the Soviets brought in sound equipment to simulate tank and aircraft engines and heavy construction noises, staging long, loud performances nightly. At first, the Japanese mistook the sounds for large-scale enemy activity and fired toward the sounds. After a few nights, they realized it was only sound effects, and tried to ignore the "serenade." On the eve of the attack, the actual concentration and staging sounds went largely unnoticed by the Japanese. On August 7–8, Zhukov conducted minor attacks to expand the Halha bridgehead to a depth of two to three miles. These attacks, contained relatively easily by Komatsubara's troops, reinforced Kwantung Army's false sense of confidence. The Japanese military attaché in Moscow misread Soviet press coverage. In early August, the attaché advised that unlike the Changkufeng incident a year earlier, Soviet press was largely ignoring the conflict, implying low morale and a favorable prognosis for the Red Army. Kwantung Army leaders seized on this as confirmation to refrain from any display of restraint or doubt, misplaced confidence. There were, however, portents of danger. Three weeks before the Soviet attack, Colonel Isomura Takesuki, head of Kwantung Army's Intelligence Section, warned of the vulnerability of the 23rd Division's flanks. Tsuji and colleagues dismissed this, and General Kasahara Yukio of AGS also went unheeded. The "desk jockey" General Staff officers commanded little respect at KwAHQ. Around August 10, General Hata Yuzaburo, Komatsubara's successor as chief of the Special Services Agency at Harbin, warned that enemy strength in the Mongolian salient was very great and seriously underestimated at KwAHQ. Yet no decisive action followed before Zhukov's attack. Kwantung Army's inaction and unpreparedness prior to the Soviet offensive appear to reflect faulty intelligence compounded by hubris. But a more nuanced explanation suggests a fatalistic wishful thinking rooted in the Japanese military culture—the belief that their spiritual strength would prevail, leading them to assume enemy strength was not as great as reported, or that victory was inevitable regardless of resources. Meanwhile, in the rational West, the Nazi war machine faced the Polish frontier as Adolf Hitler pressed Stalin for a nonaggression pact. The German-Soviet Nonaggression Pact would neutralize the threat of a two-front war for Germany and clear the way for Hitler's invasion of Poland. If the pact was a green light, it signaled in both directions: it would also neutralize the German threat to Russia and clear the way for Zhukov's offensive at Nomonhan. On August 18–19, Hitler pressed Stalin to receive Ribbentrop in Moscow to seal the pact. Thus, reassured in the West, Stalin dared to act boldly against Japan. Zhukov supervised final preparations for his attack. Zhukov held back forward deployments until the last minute. By August 18, he had only four infantry regiments, a machine gun brigade, and Mongolian cavalry east of the Halha. Operational security was extremely tight: a week before the attack, Soviet radio traffic in the area virtually ceased. Only Zhukov and a few key officers worked on the plan, aided by a single typist. Line officers and service chiefs received information on a need-to-know basis. The date for the attack was shared with unit commanders one to four days in advance, depending on seniority. Noncommissioned officers and ordinary soldiers learned of the offensive one day in advance and received specific orders three hours before the attack.   Heavy rain grounded Japanese aerial reconnaissance from August 17 to midday on the 19th, but on August 19 Captain Oizumi Seisho in a Japanese scout plane observed the massing of Soviet forces near the west bank of the Halha. Enemy armor and troops were advancing toward the river in dispersed formations, with no new bridges but pontoon stocks spotted near the river. Oizumi sent a warning to a frontline unit and rushed back to report. The air group dispatched additional recon planes and discovered that the Japanese garrison on Fui Heights, near the northern end of Komatsubara's line, was being encircled by Soviet armor and mechanized infantry—observed by alarmed Japanese officers on and near the heights. These late discoveries on August 19 were not reported to KwAHQ and had no effect on the 6th Army and the 23rd Division's alertness on the eve of the storm. As is common in militaries, a fatal gap persisted between those gathering intelligence and those in a position to act on it. On the night of August 19–20, under cover of darkness, the bulk of the Soviet 1st Army Group crossed the Halha into the expanded Soviet enclave on the east bank.  I would like to take this time to remind you all that this podcast is only made possible through the efforts of Kings and Generals over at Youtube. Please go subscribe to Kings and Generals over at Youtube and to continue helping us produce this content please check out www.patreon.com/kingsandgenerals. If you are still hungry after that, give my personal channel a look over at The Pacific War Channel at Youtube, it would mean a lot to me. By August, European diplomacy left Moscow confident in a foothold against Germany and Britain, while Sorge's intelligence indicated Japan aimed to avoid a full-blown war. Stalin ordered a major offensive to clear Nomonhan, fueling Zhukov's buildup in eastern Mongolia. Kwantung Army, hampered by limited logistics, weak intelligence, and defensive posture, faced mounting pressure. 

Charlotte's next AD, Army West Point AD Tom Theodorakis' new deal, NCAA SVP Jenn Fraser on complaints & HQ reorganization and lots more.We would love to know what you think of the show and you can let us know on social media @D1ticker.If you are not subscribed to D1.ticker, you can and should subscribe at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.d1ticker.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.

Groove Radio's Official TOP 5 GROOVES Weekly Chart Hosted by Swedish Egil - Week of 02-23-26 01 Adriatique & Elderbrook - Lost In The Woods (Radio Edit) - X Recordings 02 Felix Cartal & Fionn - The Way (Radio Edit) - Physical Presents 03 Morpei - NenaFina (ft. Bonfi) (Original Mix) - Buriloop Records 04 Animal Trainer - Rain (Radio Edit) - Hive Audio 05 SAFARIS - Heaven (Radio Mix) - Enormous Vision -- About GROOVE RADIO Groove Radio is the Rhythm of the Future - always on in HQ audio with electronic dance music and DJ culture LIVE from Los Angeles. Curated by legendary radio programmer, Swedish Egil, Groove Radio celebrates 30+ years featuring iconic and emerging talent from the early classics of 90's techno and house music to the sounds of today's dance music festivals. -- For more info visit:  grooveradio.com c2026 Groove Radio. All rights reserved.

BACK in 2004. I took our kids back to Africa in 2004. Here's what happened. Due to a minor plane crash and having to make the trip overland, our kids went on into the Congo and I stayed behind with no plans for the week in the Central African Republic. THEN the invitations poured in! I happily taught many groups, pastors, deaconesses, school teachers, night watchmen and even high government officials! They were trilled at the positive news of Eden!NOW in 2026! We have two special events coming up! YOU are invited to our Event at the HQ of the American Bible Society on March 21 2026! We'll be presenting the Tru316 Medallion Award to ABS President Dr. Jennifer Holloran and our Keynote speaker will be Dr. Beverly Nyberg! Dr. Nyberg studied at the University of Nebraska and Trinity Evangelical Divinity School. she has been Adjunct Professor at The George Washington University and Senior Consultant at Common Root Consulting. At the U.S. President's Emergency Plan for AIDS Relief (PEPFAR) State Dept. she for 11 years she was responsible for the US Government global programs for children affect by HIV/AIDS. PEPFAR. She also had served with the Peace Corps in Africa and provided field leadership in DR Congo with The Evangelical Free Church Mission. The Tru316 Foundation (www.Tru316.com) is the home of The Eden Podcast with Bruce C. E. Fleming where we “true” the verse of Genesis 3:16. The Tru316 Message is that “God didn't curse Eve (or Adam) or limit woman in any way.” Once Genesis 3:16 is made clear the other passages on women and men become clear too. You are encouraged to access the episodes of Seasons 1-11 of The Eden Podcast for teaching on the seven key passages on women and men. Are you a reader? We invite you to get from Amazon the four books by Bruce C. E. Fleming in The Eden Book Series (Tru316.com/trubooks). Would you like to support the work of the Tru316 Foundation? You can become a Tru Partner here: www.Tru316.com/partner

AI tech giant Palantir moved its HQ from Denver to Miami this week, notifying the world via a single tweet. Was this abrupt relocation in response to ongoing protests outside its Denver office or Colorado's first-in-the-nation AI bill or something else entirely? Political commentator Adrian Felix joins producer Paul Karolyi and host Bree Davies to dig into the controversial company's departure, plus the uncertain future of Leven Supply after being seized for unpaid taxes, and our wins and fails of the week. What do you think about Palantir leaving town? We want to hear from you! Text or leave us a voicemail with your name and neighborhood, and you might hear it on the show: 720-500-5418 Adrian talked about the proposal to legalize prostitution, which we discussed earlier this week on the pod. Bree discussed the hand painted sign stolen from Duke's Good Sandwiches and Burgers and the local sign painters who created it. Paul mentioned RTD moving forward with its renaming of Civic Center Station despite pushback, Chad McWhinney and Kimbal Musk in the Epstein Files, and the Poetic Kinetics art installation coming to downtown this summer.  For more on Scott Bottoms' allegation of a “pedophile ring” at the Capitol, Mandy Connell pressed him on it on KOA yesterday.  After we recorded this episode, we heard back from AG Phil Weiser's office about Palantir and CO's AI law. His spokesperson says that they have not had any conversations with Palantir and that Weiser's position on the AI law remains unchanged since the CU Denver Artificial Intelligence Symposium last fall, when he said his office was going to “hold off on any rule making process to implement the law until after the 2026 legislative session concludes and the General Assembly has an opportunity to make substantive changes to the AI law. This approach will allow us to create the initial rules from a place of more certainty and stability in the underlying law as well as enable us to best use and conserve our limited law enforcement resources.” For even more news from around the city, subscribe to our morning newsletter at denver.citycast.fm. Watch clips from the show on YouTube: youtube.com/@citycastdenver or Instagram @citycastdenver Chat with other listeners on reddit: r/CityCastDenver Support City Cast Denver by becoming a member: membership.citycast.fm/Denver Looking to advertise on City Cast Denver? Check out our options for podcast and newsletter ads at citycast.fm/advertise

In the 6 AM Hour: Larry O’Connor and Patrice Onwuka discussed: WMAL GUEST 6:05 AM - INTERVIEW - SEAN KENNEDY - Virginians 4 Safer Communities SOCIAL MEDIA: https://x.com/VA4SafeComm TOPIC: INSANITY: Today, Fairfax Soros DA Steve Descano has declared MURDER *legal* in Fairfax. Premeditated killer Joshua Danehower who stalked & shot Gret Glyer in his bed will avoid prison & soon be released once he is deemed "sane" Labor secretary’s husband banned from HQ after 2 staffers accuse him of sexual assault DC mayor declares Potomac spill emergency, asks Trump for help How A Top Pentagon Contractor Enriches DC Insiders Using Law Intended To Help Eskimos Where to find more about WMAL's morning show: Follow the Show Podcasts on Apple podcasts, Audible and Spotify. Follow WMAL's "O'Connor and Company" on X: @WMALDC, @LarryOConnor, @Jgunlock, @patricepinkfile and @heatherhunterdc. Facebook: WMALDC and Larry O'Connor Instagram: WMALDC Show Website: https://www.wmal.com/oconnor-company/ How to listen live weekdays from 5 to 9 AM: https://www.wmal.com/listenlive/ Episode: Friday, February 20, 2026 / 6 AM Hour See omnystudio.com/listener for privacy information.

Michael welcomes Nicole back to discuss her new book, "Help Wanted," focused on finding “human magic” in hiring—going beyond technical skills and surface-level values fit to build teams and cultures that can withstand challenges. Nicole, a culture architect and founder of Banana Pepper HR, argues hospitality is at risk of becoming transactional and has an opportunity to re-center belonging and human connection. They critique standard, rushed recruitment as soulless and misaligned with brand promises, emphasizing “hospitality begins in-house” and that recruitment is a brand's first act of hospitality. Nicole highlights “super skills” often dismissed as soft skills—empathy, kindness, curiosity, creativity, vulnerability, resilience, and more—and explains how missing them can lead to poor service, brand damage, and commercial loss. Practical ideas include slowing down hiring, doing stronger reference checks (including peer references), interviewing for stories by creating psychological safety, and using a three-course interview framework (appetizer/entrée/dessert). Nicole shares why she chose 10 super skills, drawing inspiration from Danny Meyer's “HQ” and behavioral science (including Brené Brown). The episode ends with where to find Nicole and the book at bananapepperhr.com/book (and retailers such as Amazon, Barnes & Noble, and Waterstones).Connect with Nicole:https://www.linkedin.com/in/nicoleantoniogadsdon/https://www.bananapepperhr.com/Book:https://www.bananapepperhr.com/bookhttps://uk.bookshop.org/p/books/help-wanted-the-rule-breaking-guide-to-hiring-an-extraordinary-team-of-hospitality-alchemists-nicole-antonio-gadsdon/1f7ae8fc32978cb1?ean=9781781339558&next=tConnect with the podcastJoin the Hospitality Mavericks newsletterTune in via your favourite podcast platform - here More episodes for you to check out here A big thank you to our episode sponsor Monotree.They help hospitality operators strengthen operations and scale company culture by creating a "Branded Front Door" for your workforce.Head to their website to sign up.This podcast uses the following third-party services for analysis: Podcorn - https://podcorn.com/privacy

This week, we're back at HQ with another sky-high National Grid bill, and it might be time to seek alternative options for where we record this once-a-week-podcast. We're both wondering how Olympians snowboard with AirPods in, Jack walks back his hot take on my coffee with cream intake after the people's poll, tells us about an interesting exhibit in NYC with Clifton Park roots, and more.EPISODE NOTES: It's a big week for Netflix (0:54)…but Seinfeld will always be #1 (1:20)Opening this month's National Grid bill (7:10)Nobody Asked Me, But... (11:37)Where are all the halfpipes at? (20:35)Granny has nice cans (30:55)Jack's DINK dog dilemma (36:35)A Chat GPT redemption story (57:00)First delis, now local diners are down bad (1:08:00)My Macy's credit card got some exercise this week (1:14:53)If you're looking for a new ride without the hassle, discover why drivers across the Capital Region trust Mohawk Chevrolet. From Silverado trucks to family-friendly Equinox or Traverse SUVs and sleek EV options, their online inventory makes it easy to shop, compare, and schedule your test drive or service —all from the comfort of home. Together, let's drive.

The ATO raid on the Plymouth Brethren Christian Church's HQ took place 2 years ago, and since then, a series of consequences and related events has played out, some in public, and some behind closed doors. Like pieces of a jigsaw puzzle, the real picture is a mystery until all these pieces are assembled and that is what Get A Life does for you in this episode. What emerges is three names. Three extremely prominent PBCC leaders whose behavior screams of guilt, and a desperate attempt to evade accountability. We name and shame them.Then we move on to Bruce Hales in person – recordings of a recent fellowship meeting we have obtained, which we will play for you, and offer our commentary on his strange and contradictory ramblings. The profound mutterings of the MOG will be continued on Part 2 of this gripping episode that we have titled “THIEVES”.Link for Insiders- https://www.dropbox.com/scl/fi/t3y5gbssi5aflo6qvxa24/45000-162.mp4?rlkey=pyj6higznc5c2dgvvwhuegqid&st=etwr0zxp&dl=0Link to GOFUNDME for legal suit against Cheryl and the Get a Life podcast- https://gofund.me/e976c9d77Link to articles on ATO raid-https://www.smh.com.au/national/fleecing-the-flock-exclusive-brethren-businesses-raided-by-tax-office-20240321-p5fe6r.htmlhttps://bnnbreaking.com/world/australia/exclusive-brethren-under-tax-office-scrutiny-raid-reveals-potential-financial-misconductTo share your story or be a guest on the show, email info.getalife@proton.meGet a Life Paypal donations -https://www.paypal.me/getalifepodcastGet a Life GoFundMe-https://gofund.me/614bcd06Olive Leaf Network- https://oliveleaf.network/Thinking of Leaving Pamphlet and resources - https://oliveleaf.network/resources/Link to Anchor/Spotify- https://open.spotify.com/show/4GhNv1hZp6tjfLyA4s6PMu?si=Gs5euyWpT4y7lOS8OTe4XAPreston Down Trust Decision-https://www.gov.uk/government/news/commission-publishes-report-on-the-preston-down-trustAberdeen incident- https://drive.google.com/file/d/1riImgAqwaqGwjYq6vRQIr4_jscJA0eQN/view?usp=drive_linkIf we walk in the light letters-https://drive.google.com/file/d/14WlgJladl1r95YGxW0FbZ0prYfjlg7FU/view?usp=sharingAdmin/Legal email address:stouffvillelegal-gal@protonmail.comOffice address:22 Braid BendStouffville ONL4A 1R7#plymouthbrethrenchristianchurch #pbcc #abuse #church #cult #religion #trauma #religioustrauma #sexualabuse #mindcontrol #brainwashing #conversation #exmembers #exposingtruth #expose #exposure #whistleblower #getalifepodcast #getalife #podcast #rules #strict #exclusivebrethren #brucehales #BruceHales #BDH #BruceDHales #UniversalBusinessTeam #UBT #RRT #RapidReliefTeam #Aberdeen #OneSchoolGlobal #OSG #johnhales #shutup #withdrawnfrom #worldly #excommunicate #assemblydeath #christiansect #christiancult #canadiancult #canadiansect #sect #worldwidesect #worldwidecult #cultescape #cultescapestory #bully #bullying #brokenfamily #awareness #cultescape #cultandculturepodcast #cultescapee #cultescapeer #cultescapeeinterview #askingforhelp #unispace

Seth and Sean dive more into what Mike Tomon had to tell them about the Texans future new HQ or Toro District and what it could mean for the Texans and their fans.

Seth and Sean react to some crazy CJ Stroud takes from Chris Simms and Ryan Fitzpatrick, assess how they think the Texans should add a front line Running Back to the roster this offseason, and assess who's a lock to still be with the Texans when the new HQ opens sometime in 2029.

Seth and Sean react to the Texans announcing their plans for a new headquarters, grade the Rockets season so far, go through the day's Headlines, react to some crazy CJ Stroud takes from Chris Simms and Ryan Fitzpatrick, assess how they think the Texans should add a front line Running Back to the roster this offseason, assess who's a lock to still be with the Texans when the new HQ opens sometime in 2029, see if any of the worst takes of the week can dethrone Colin Cowherd, discuss Jonathan Alexander's 5 big questions about the Texans' offseason, assess if Marlon Humphrey attending the Seahawks SB parade is cool given he plays for another team. The guys are joined in studio by Texans President, Mike Tomon, to talk about the plans for their new headquarters the "Toro District" in Bridgeland, TX in Northwest Harris County, discuss takeaways from that conversation, try to figure out if we should all chill about the Rockets like Fred VanVleet says, and see what Reggie and Paul have for the question of the day.

Seth and Sean are joined by Texans President, Mike Tomon, to discuss their plans to build a new HQ in Bridgeland on the Northwest side, or the "Toro District" as it will be called.

Jody Fiess is the COO of Cerboni Financial Services, HQ'd in Houston, Texas. Cerboni is an all-in-one financial solution for restaurants. Cerboni Services was formed in 2017 to help independent restaurants manage their financials and lower costs through performance based metrics. Today, Cerboni helps around 800 restaurants nationwide.  Join RULibrary: www.restaurantunstoppable.com/RULibrary Join RULive: www.restaurantunstoppable.com/live Set Up your RUEvolve 1:1: www.restaurantunstoppable.com/evolve Subscribe on YouTube: https://youtube.com/restaurantunstoppable Subscribe to our email newsletter: https://www.restaurantunstoppable.com/ Today's sponsors: - Restaurant Technologies — the leader in automated cooking oil management. Their Total Oil Management solution is an end-to-end closed loop automated system that delivers, monitors, filters, collects, and recycles your cooking oil eliminating one of the dirtiest jobs in the kitchen.. Automate your oil and elevate your kitchen by visiting rti-inc.com or call 888-779-5314 to get started! - Restaurant Systems Pro - Lower your prime cost by $1,000, and get paid $1,000 with the Restaurant Systems Pro 30-Day Prime Cost Challenge. If you successfully improve your prime cost by $1,000 or more compared to the same 30-day period last year, Restaurant Systems Pro will pay you $1,000. It's a "reverse guarantee."  Let's make 2026 the year your restaurant thrives. - US Foods®. Running a restaurant takes MORE than great food—it takes reliable deliveries, quality products, and smart tools. US Foods® helps you make it. Ready to level up? Visit: usfoods.com/expectmore. - Guest contact info:  Website: https://cerboniservices.com Thanks for listening! Rate the podcast, subscribe, and share! 

In episode 2004, Jack and Miles are joined by poet, former public defender, co-founder and Executive Director of Partners for Justice, and author of The Price of Mercy: Unfair Trials, a Violent System, and a Public Defender's Search for Justice in America, Emily Galvin-Almanza, to discuss… MAGA Thinks Disney Deep Cuts Justify Trump’s Racist AI Post, That’s Weird... There Was A DOJ Press Release Announcing Epstein’s Death Drafted The Day Before He Was Actually Killed? Epstein Isn’t Secretly Alive, According To Fortnite, Kamala Harris Is Back – This Time With More Cringey Memes! Department Of Defense Deploys Military To Theaters Playing “Melania” and more! Trump takes down racist AI video of Barack and Michelle Obama as monkeys Republicans rarely criticize Trump in his second term. A racist post briefly changed that Troll Who Created Trump’s Racist Obama Video Was Behind Another Viral Outrage Trump’s Dangerous Diversionary Device: Using Race to Erase Discourse 'I Didn’t Make a Mistake’: Trump Declines to Apologize for Racist Video of Obamas Trump accused of role in Epstein’s death in explosive email sent to FBI, documents reveal Epstein Files Reveal Prosecutors’ Announcement Dated Before His Death Jeffrey Epstein is not actually alive and playing 'Fortnite,' Epic Games says 'Jeffrey Epstein still alive?': Truth behind viral photo amid Epstein files release Epstein confirmation of death dated one day before he was found discovered in files Harris relaunches her old ‘Kamala HQ’ account as an online organizing project Kamala Harris Reboots KamalaHQ as Headquarters, a ‘Progressive’ Media Hub Aimed at Gen Z Voters Kamala Harris' first post since election day sparks 2028 presidential bid speculation CNN just described the Kamala headquarters_67 account as cringe. Chillingly Vain’ ‘Melania’ Documentary Absolutely Savaged by Critics Military Pressured to See ‘Melania’ Against Their Will Amazon MGM Goes on Offense as ‘Melania’ Gets Sacked at Super Bowl Box Office LISTEN: Vamonos by Elkin & NelsonSee omnystudio.com/listener for privacy information.

Watch The X22 Report On Video No videos found (function(w,d,s,i){w.ldAdInit=w.ldAdInit||[];w.ldAdInit.push({slot:17532056201798502,size:[0, 0],id:"ld-9437-3289"});if(!d.getElementById(i)){var j=d.createElement(s),p=d.getElementsByTagName(s)[0];j.async=true;j.src="https://cdn2.decide.dev/_js/ajs.js";j.id=i;p.parentNode.insertBefore(j,p);}})(window,document,"script","ld-ajs");pt> Click On Picture To See Larger Picture The Fake News lost the narrative on the climate hoax. Trump bringing back the fishing industry in Maine. Everything is being reverse, jobs are coming back. Trump is moving the pieces on the board and preparing the country to move back to sound money and the is using the market as a weapon. The [DS] cannot keep the country divided anymore. The people are awake and they are seeing the true enemy through the fog. Trump is pushing everything to win the Midterms. We are watching the final countdown. Trump is exposing the system and the election cheating system to force the RINOS to pass the save act. Once this is done it is game over.   Economy https://twitter.com/ChrisMartzWX/status/2020341736896360591?s=20 (function(w,d,s,i){w.ldAdInit=w.ldAdInit||[];w.ldAdInit.push({slot:18510697282300316,size:[0, 0],id:"ld-8599-9832"});if(!d.getElementById(i)){var j=d.createElement(s),p=d.getElementsByTagName(s)[0];j.async=true;j.src="https://cdn2.decide.dev/_js/ajs.js";j.id=i;p.parentNode.insertBefore(j,p);}})(window,document,"script","ld-ajs");   foolishly reinstated them. Since Day One, I have taken historic action to END these disastrous policies and, today, I signed a Presidential Proclamation to UNLEASH Commercial Fishing in the Atlantic Ocean, advancing the America First Fishing Policy! I am restoring nearly 5,000 square miles of Fishing access off the Coast of New England, which will revitalize our Fishing Industry, and STRENGTHEN our Booming Economy. Congratulations to all of our Great Fishermen. Please remember I did this for you, against strong Democrat opposition, and VOTE REPUBLICAN IN THE MIDTERMS! PRESIDENT DONALD J. TRUMP  https://twitter.com/unusual_whales/status/2020181009124192563?s=20   https://twitter.com/Bobby1_x/status/2020284867708350837?s=20  house: 614 oz gold Now: 82 oz 1971 Car: 86 oz gold Now: 9 oz 1971 Harvard: 63 oz gold Now: 11 oz 1971 Gas: 1 oz gold = 113 gallons Now: 1 oz gold = 1736 gallons If you saved in dollars your value inflated away to almost nothing But if you saved in gold you INCREASED your real world purchasing power MASSIVELY You didn’t see inflation, you saw deflation And you never even had to do so much as sell as stock or learn about bonds and interest rates All you had to do was save in gold Gold is and always will be the ultimate store of value https://twitter.com/KobeissiLetter/status/2020229075487322323?s=20  By comparison, the 2020 high and 2012 peak were 40.9 million and 43.4 million, respectively. Meanwhile, ETFs of gold and other precious metals attracted +$4.39 billion in inflows in January, posting their 8th consecutive monthly intake. Furthermore, investors have invested a net +$3.62 billion in gold miner ETFs, the most since at least 2009. Demand for gold investments remains robust. https://twitter.com/MrPool_QQ/status/2020219515615793465?s=20  Reserve nominee if he doesn’t lower rates. “It was a joke.” No. It was a WARNING. The Fed’s days are numbered. MOVE 3: Pentagon CUT ALL TIES with Harvard. Military training. Fellowships. Programs. ALL GONE. The Ivy League pipeline to power is DEAD. MOVE 4: Launched TrumpRx. 43 medications. Ozempic included. Big Pharma’s monopoly: BROKEN. They charged you $1,000. He’s giving it for $300. MOVE 5: DHS funding expires February 13th. 6 days from now. Controlled shutdown incoming. Why? Because you can’t RESTRUCTURE what’s still running. Connect the dots: Iran tariffs = END of petrodollar Fed threat = END of central banking control Harvard cut = END of Deep State recruitment TrumpRx = END of Big Pharma monopoly DHS shutdown = RESTRUCTURING of homeland security This isn’t chaos. This is a DEMOLITION. Piece by piece. System by system. Pillar by pillar. The old world is being dismantled in REAL TIME. And the new one is being built while you watch.  DARK TO LIGHT   Political/Rights https://twitter.com/ICEgov/status/2019804241343234265?ref_src=twsrc%5Etfw%7Ctwcamp%5Etweetembed%7Ctwterm%5E2019804241343234265%7Ctwgr%5Ea4849f0e923af3c8c6337a4af454066151ac3a71%7Ctwcon%5Es1_c10&ref_url=https%3A%2F%2Fwww.thegatewaypundit.com%2F2026%2F02%2Fsupposedly-autistic-womans-tale-being-abused-arrested-ice%2F   the location, continued to impede our officers, and found out the hard way. 18 U.S.C. § 111 criminalizes impeding or interfering with federal officers. Team Trump Catches Gavin Newsom in a HUGE Lie During Back-and-Forth as California Governor Releases Thousands of Violent Criminal Illegals Back into Society https://twitter.com/KristiNoem/status/2019831108511158481?ref_src=twsrc%5Etfw%7Ctwcamp%5Etweetembed%7Ctwterm%5E2019831108511158481%7Ctwgr%5Ed4914c3e3e7d1872b32b0c54f58216356aecffd0%7Ctwcon%5Es1_c10&ref_url=https%3A%2F%2Fwww.thegatewaypundit.com%2F2026%2F02%2Fteam-trump-catches-gavin-newsom-huge-lie-during%2F https://twitter.com/CAgovernor/status/2019876274798567749?ref_src=twsrc%5Etfw%7Ctwcamp%5Etweetembed%7Ctwterm%5E2019876274798567749%7Ctwgr%5Ed4914c3e3e7d1872b32b0c54f58216356aecffd0%7Ctwcon%5Es1_c10&ref_url=https%3A%2F%2Fwww.thegatewaypundit.com%2F2026%2F02%2Fteam-trump-catches-gavin-newsom-huge-lie-during%2F https://twitter.com/USAttyEssayli/status/2019883966355107911?ref_src=twsrc%5Etfw%7Ctwcamp%5Etweetembed%7Ctwterm%5E2019883966355107911%7Ctwgr%5Ed4914c3e3e7d1872b32b0c54f58216356aecffd0%7Ctwcon%5Es1_c10&ref_url=https%3A%2F%2Fwww.thegatewaypundit.com%2F2026%2F02%2Fteam-trump-catches-gavin-newsom-huge-lie-during%2F   The law in question is the California Values Act (SB 54), signed into law in 2017 by then-Governor Jerry Brown. The legislation bars state and local resources from being used to assist federal immigratio Source: thegatewaypundit.com https://twitter.com/liz_churchill10/status/2020347917962473789?s=20 https://twitter.com/elonmusk/status/2020451356562096282?s=20 https://twitter.com/KanekoaTheGreat/status/2020249786017095995?s=20   https://twitter.com/Kimberlyrja8/status/2019799463129133362?s=20  , Savannah stated, “[Nancy] is full of kindness and knowledge. Talk to her, and you'll see.” Many have noticed that the phrasing is nearly identical to the line from the famous thriller, when Sen. Ruth Martin addresses the kidnapper of her daughter, Catherine, saying, “Catherine is very gentle and kind. Talk to her, and you'll see.” https://twitter.com/IENouwen/status/2020088584964125145?ref_src=twsrc%5Etfw%7Ctwcamp%5Etweetembed%7Ctwterm%5E2020088584964125145%7Ctwgr%5E35d5b78a17a39c8933cea82db5535043ef4b09ff%7Ctwcon%5Es1_c10&ref_url=https%3A%2F%2Fwww.thegatewaypundit.com%2F2026%2F02%2Fwatch-savannah-guthrie-echoed-iconic-silence-lambs-line%2F TAKE A LISTEN   https://twitter.com/RyanSaavedra/status/2019972293032833214?s=20 https://twitter.com/drawandstrike/status/2020283785451806956?s=20   is coming. Remember immediately after that last tranche of documents were released, all of a sudden our international elite class of baby-farming, baby-eating kid fucking criminals were in an increasingly untenable position, where some of ’em had to resign from important positions, and others were being forced into exceedingly awkward explanations/apologies? Well how do you stop the train? How do you arrest the progress of the exposure of your baby-eating/kid fucking activities? Wouldn’t you try to come up with a way to do damage control where you make as VERY PROMINENT PUBLIC WARNING to the mainstream media: You do NOT really want to GO THERE and keep asking us awkward questions. BACK THE FUCK OFF. It could be YOUR mother next…TAKE THE HINT… Now… Who is she? Who is she pictured with? Where was the picture taken? Will Bill Clinton be asked on February 28 who she is and why he was with her on Epstein’s plane? Stay tuned for developments. https://twitter.com/ByronYork/status/2020107433612288444?s=20   BREAKING: Pam Bondi Announces Arrest of Key Suspect in the 2012 Benghazi Attack (VIDEO)  Attorney General Pam Bondi announced on Friday morning that the FBI arrested one of the key players behind the deadly terrorist attack against the US Consulate in Benghazi. Islamic terrorists attacked the US Consulate in Benghazi on September 11, 2012, eleven years after the attacks on the World Trade Center. As noted previously, the Libyan nightmare was the result of a war that President Obama and Hillary Clinton started.  They never should have started the war in Libya, never should have placed Americans there unprotected, and when the Americans in Benghazi were under attack on 9-11, 2012 they should have provided help.  Instead, four Americans died in Benghazi as was famously portrayed in the movie 13 Hours. For days after the attack on Benghazi, President Obama and Hillary Clinton blamed the attack in Benghazi on a made up story about a US citizen who incited protests in Benghazi from a YouTube video about Islam. They continued with the story as the caskets of the four dead Americans, including Ambassador Chris Stevens, were shipped back to the US. Barack Obama and Hillary Clinton left the Consulate to fend for itself and never sent military support to rescue the men trapped at the Consulate. Attorney General Pam Bondi: On September 11th, 2012, Americans watched horrified as our embassy in Bengasi came under a vicious terror attack. We lost four American lives that day: Ambassador Chris Stevens, Sean Smith with the State Department, and two CIA contractors, Glenn Dordy and Tyrone Woods. We have never forgotten those heroes, and we have never stopped seeking justice for that crime against our nation. In fact, from day one, Cash and Dan would sit in meetings and say, We're going to get them, and they did. Today, I'm proud to announce that the FBI has arrested one of the key participants behind the Bengasi attack. Zubar Albaqash landed at Andrews Air Force Base at 03: 00 AM this morning. He is in our custody. He was greeted by Director Director Patel and US attorney Jeanine Piero. Source: thegatewaypundit.com   DOGE Geopolitical https://twitter.com/GuntherEagleman/status/2020137645339226362?s=20   supposed to GUARANTEE freedom, not RESTRICT it!” Poland standing tall against Brussels' Big Brother nonsense. This is what real leadership looks like. No bowing to globalist overlords. Poland remains a STRONG ally of the USA and a fighter for liberty.   Illegal Migrants and Gang Members out of the United States. We discussed many other issues, including Investment and Trade between our two Countries. He loves the people of Honduras, and is focused on their Health, Well-being, Education, and Economic Prosperity. I look forward to welcoming President Asfura back to the United States. Tito: Congratulations on your Great Victory! PRESIDENT DONALD J. TRUMP War/Peace https://twitter.com/BuzzPatterson/status/2020388749834965399?s=20 https://twitter.com/Osint613/status/2020238386108543128?s=20 Security Alert: Land Border Crossings (February 5, 2026) Location:  Iran, countrywide Event:  Increased security measures, road closures, public transportation disruptions, and internet blockages are ongoing. The Government of Iran continues to restrict access to mobile, landline, and national internet networks. Airlines continue to limit or cancel flights to and from Iran. U.S. citizens should expect continued internet outages, plan alternative means of communication, and, if safe to do so, consider departing Iran by land to Armenia or Türkiye. Actions to Take: Leave Iran now. Have a plan for departing Iran that does not rely on U.S. government help. Flight cancellations and disruptions are possible with little warning. Check directly with your airlines for updates. If you cannot leave, find a secure location within your residence or another safe building. Have a supply of food, water, medications, and other essential items. Avoid demonstrations, keep a low profile, and stay aware of your surroundings. Monitor local media for breaking news. Be prepared to adjust your plans. Keep your phone charged and maintain communication with family and friends to inform them of your status. Enroll in the Smart Traveler Enrollment Program (STEP)  to receive the latest updates on security in Iran. If You Plan to Leave Iran:  U.S.-Iranian dual nationals must exit Iran on Iranian passports.  The Iranian government does not recognize dual nationality  and will treat U.S.-Iranian dual nationals solely as Iranian citizens. U.S. nationals are at significant risk of questioning, arrest, and detention in Iran. Showing a U.S. passport or demonstrating connections to the United States can be reason enough for Iranian authorities to detain someone.  U.S. citizens who do not have a valid U.S. passport in their possession should apply for one at the nearest U.S. embassy or consulate after departing Iran. The U.S. government cannot guarantee your safety if you choose to depart using the following options. You should leave only if you believe it is safe to do so. As of Thursday, February 5:   Source:    Medical/False Flags China Bombshell: Patel says Biden-era FBI ‘buried' truth about CCP's ties to biolab on US soil  FBI Director Kash Patel says his agency has resumed an aggressive counterintelligence offensive against China and its Communist Party (CCP) that had been sidelined during the Biden presidency but is concerned the prior administration may have “buried” the truth about dangerous biolabs on U.S. soil tied to Beijing. The FBI boss said the renewed efforts have already resulted in a 40% increase in Chinese espionage arrests in the first year of the second Trump administration. Source: justthenews.com  [DS] Agenda ICE Humilates Far-Left Boston Mayor Michelle Wu in EPIC Fashion After She Signs Executive Order Barring Agency from Conducting “Unconstitutional and Violent” Operations ICE agents delivered a humiliating and richly deserved blow to Boston Mayor Michelle Wu's ego on Friday, one day after she tried to hamstring them for doing their jobs. As WHDH reported, Wu signed an “An Executive Order To Protect Bostonians From Unconstitutional and Violent Federal Operations.” Specifically, the order bans federal officials, including ICE, from using city property for immigration enforcement operations. Wu's office says the order is designed to “protect residents from illegal federal overreach, prioritizing de-escalation, and reaffirms that Boston will hold anyone accountable who commits violence, property damage, or any criminal conduct in the City, including federal officials.” Source: thegatewaypundit.com https://twitter.com/libsoftiktok/status/2020487139377443327?s=20 https://twitter.com/WallStreetApes/status/2019900883082031120?s=20   https://twitter.com/Badhombre/status/2019488291263823960?s=20    “People for the American Way” and Brian Tyler Cohen's “Chorus.” People for the American Way receives most of its funding from George Soros' Open Society Foundations. Brian Tyler Cohen @briantylercohen was recently exposed in a scandal for receiving dark money from the Sixteen Thirty Fund and paying up to $8,000 a month to influencers like Olivia Julianna, David Pakman, JoJo From Jerz, and Leigh “Politics Girl” McGowan to amplify coordinated content. The Sixteen Thirty Fund, managed by Arabella Advisors, receives its funding from three major sources: – Berger Action Fund (Swiss billionaire Hansjörg Wyss) – Open Society Policy Center (Hungarian Billionaire George Soros) – Democracy Fund Voice (French-born eBay founder Pierre Omidyar). Twelve people run the “HQ” account full-time. This is yet another coordinated propaganda campaign funded by leftist billionaires attempting to push their globalist agenda and sow division. Nothing organic or truly Gen-Z about it beyond the faces used to represent it. https://twitter.com/visegrad24/status/2020289816882024790?s=20 President Trump's Plan https://twitter.com/Rightanglenews/status/2020293934413680968?s=20 NBC CAUGHT IN ANOTHER LIE: VP Vance and Wife Were Not Booed at Olympics – It Was Quite the Opposite Vice President J.D. Vance, his with Usha and three children are representing the United States this week at the Winter Olympics.   J.D. was a hit at the Olympics venue.  On Friday night during the opening ceremonies NBC claimed the crowd was booing when J.D. Vance and his wife were pictured on the big screen. What disgusting people. Of course, this lie was quickly exposed by several fact-checkers online. Ovation Eddie 2 caught the media in their latest disgusting lie: https://twitter.com/EricLDaugh/status/2020155556158136778?ref_src=twsrc%5Etfw%7Ctwcamp%5Etweetembed%7Ctwterm%5E2020155556158136778%7Ctwgr%5Ed35db378d07d7f30cba1d9449c0da87c52040e2a%7Ctwcon%5Es1_c10&ref_url=https%3A%2F%2Fwww.thegatewaypundit.com%2F2026%2F02%2Fnbc-caught-another-lie-vp-vance-wife-were%2F   Remember: You can never trust a single word coming from the anti-Trump, Anti-American legacy media. Source: thegatewaypundit.com   https://twitter.com/MrAndyNgo/status/2020310461267202235?s=20   https://twitter.com/CynicalPublius/status/2020285717713453058?s=20   that out. Democrats Cry As Trump Makes It Easier to Fire Federal Workers The Trump administration is planning to make it easier to discipline—and potentially fire—career officials in senior positions across the government, a move that would affect roughly 50,000 federal workers. The U.S. Office of Personnel Management, which oversees the federal workforce, issued a final rule on Thursday that creates a category of worker for high-ranking career employees whose work focuses on executing the administration's policies. Workers who fall into that category would no longer be subject to rules that for decades have set a high bar for firing federal employees.  The Trump team, however, characterizes the move as one that gives the executive branch the ability to better shape the bureaucracy to help serve its agenda, instead of allowing it to clandestinely thwart it: The administration has been clear that the goal of the rule is to more easily fire workers they argue are hindering Trump policies — a nod to the president's claims of a “Deep State” within the federal government trying to undermine him. “This is not about people's views or ideas. This is about whether they are refusing to actually affect their duties on behalf of the American people consistent with the objectives of this administration,” said Scott Kupor, director of the Office of Personnel Management (OPM), which promulgated the rule.   Source: redstate.com https://twitter.com/drawandstrike/status/2020298873923567783?s=20   doesn’t agree with the 5th Circuit’s ruling. How in the world would you REINSTATE a policy where an illegal who successfully evaded detection at a port of entry has legal recourse to bond when those illegals detected at a port of entry do not? The 5th just rightfully found that NEITHER kind of illegal should have recourse to bond – whether they are detected at a port of entry or they successfully sneak into the country and are here for months/years before being caught. The fact this absurd situation persisted for decades shows you the system was rigged to allow human trafficking and to create a literal legal industry to facilitate it.      Trump can “legally” mass deport ALL illegals, whether they have committed a crime or not. “A federal appeals court ruled that Trump administration can lock up the vast majority of people it is seeking to deport without offering a chance for bond, even if they have no criminal records and have resided in the country for decades.        https://twitter.com/alexahenning/status/2020196173663867144?s=20 https://twitter.com/HansMahncke/status/2020253940374245522?s=20   https://twitter.com/DNIGabbard/status/2020227805976678574?s=20  control of the Whistleblower's complaint, so I obviously could not have “hidden” it in a safe. Biden-era IC Inspector General Tamara Johnson was in possession of and responsible for securing the complaint for months. – The first time I saw the whistleblower complaint was 2 weeks ago when I had to review it to provide guidance on how it should be securely shared with Congress. – As Vice Chair of the Senate Intelligence Committee, Senator Warner knows very well that whistleblower complaints that contain highly classified and compartmented intelligence—even if they contain baseless allegations like this one—must be secured in a safe, which the Biden-era Inspector General Tamara Johnson did and her successor, Inspector General Chris Fox, continued to do. After IC Inspector General Fox hand-delivered the complaint to the Gang of 8, the complaint was returned to a safe where it remains, consistent with any information of such sensitivity. – Either Senator Warner knows these facts and is intentionally lying to the American people, or he doesn't have a clue how these things work and is therefore not qualified to be in the U.S. Senate—and certainly not the Vice Chair of the Senate Intelligence Committee. Here is a detailed chronology of the situation: – June 2025, I became aware that a whistleblower made a complaint against me that after further investigation, neither Biden-era IC Inspector General Tamara Johnson nor current IC Inspector General Chris Fox found the complaint to be credible. – The complaint required special handling and storage in a safe because the complainant chose to include highly sensitive information within the complaint itself rather than referencing the sensitive reporting and leaving the complaint at a lower level of classification. – Security standards for complaints that include such sensitive intelligence required the Inspector General to keep the complaint and the intelligence referenced secured in a safe from the time the complaint was made, until now. – In June 2025 after Biden-era Inspector General Tamara Johnson completed her review of the complaint, no further oversight or investigative activity took place. – Biden-era Inspector General Johnson had communicated with me directly throughout the course of her investigation into this complaint, yet neither she nor anyone from her office informed me that the Whistleblower chose to send the complaint to Congress which would require me to issue security instructions. – When a complaint is not found to be credible, there is no timeline under the law for the provision of security guidance. The “21 day” requirement that Senator Warner alleges I did not comply with, only applies when a complaint is determined by the Inspector General to be both urgent AND apparently credible. That was NOT the case here. – I was made aware of the need to provide security guidance by IC Inspector General Chris Fox on December 4, 2025, which he detailed in his letter to Congress. – I took immediate action to provide the security guidance to the Intelligence Community Inspector General who then shared the complaint and referenced intelligence with relevant members of Congress last week. Senator Warner’s decision to spread lies and baseless accusations over the months for political gain, undermines our national security and is a disservice to the American people and the Intelligence Community. https://twitter.com/seanmdav/status/2020151219210137711?s=20   https://twitter.com/AlecLace/status/2019802427487027667?s=20 https://twitter.com/WallStreetMav/status/2020150184374681890?s=20 https://twitter.com/AlecLace/status/2019849309148311983?s=20 https://twitter.com/TheStormRedux/status/2019941561367191842?s=20 https://twitter.com/Rasmussen_Poll/status/2020183096667128211?s=20  2. ALL VOTERS MUST SHOW PROOF OF UNITED STATES CITIZENSHIP TO REGISTER FOR VOTING.   3. NO MAIL-IN BALLOTS (EXCEPT FOR ILLNESS, DISABILITY, MILITARY, OR TRAVEL!). https://twitter.com/WarClandestine/status/2020314452483342609?s=20     (function(w,d,s,i){w.ldAdInit=w.ldAdInit||[];w.ldAdInit.push({slot:13499335648425062,size:[0, 0],id:"ld-7164-1323"});if(!d.getElementById(i)){var j=d.createElement(s),p=d.getElementsByTagName(s)[0];j.async=true;j.src="//cdn2.customads.co/_js/ajs.js";j.id=i;p.parentNode.insertBefore(j,p);}})(window,document,"script","ld-ajs");

President Trump is delivering huge wins for everyday Americans. In this episode, we break down the massive launch of TrumpRx — officially slashing prescription drug prices and putting Big Pharma on notice. No more getting ripped off — families are saving big on lifesaving medications. Plus, Trump's powerful Trump Accounts get the Super Bowl spotlight with an epic ad promoting wealth-building for American families and kids. Promises made, promises kept — stronger wallets and a stronger America. Avi Loeb joins the show to dive into black holes and the latest on 3I/ATLAS — mind-blowing science from a true American innovator.We also cover: Pat issuing corrections on the disgraceful "F the Mormons" chant at BYU — enough with the hate. Trump calls for a national day of prayer and fasting — faith and freedom first. AOC rushing to defend Don Lemon — birds of a feather. Kamala Harris drops her “big announcement” — relaunching her old HQ as a youth organizing hub (more failed Democrat energy). Trailer drop for the new Michael Jackson documentary. Google co-founder's girlfriend pushing "obtainable" luxury like yacht yoga and caviar breakfasts — tone-deaf elite nonsense. Karoline Leavitt drops truth bombs: Four innocent Americans tragically killed by an illegal alien semi-truck driver — and zero illegal aliens released into the U.S. in the last nine months under Trump. Border security works. 00:00 Pat Gray UNLEASHED! 00:17 "F the Mormons" Update 01:43 Winter Olympic Games 04:00 JD Vance & Marco Rubio Attend the Winter Olympics 08:07 Trump Announces TrumpRx.gov 11:38 New Guidelines Protecting Prayer in Schools 12:25 Trump Calls for Unity & Prayer 15:12 America NEEDS Religion! 17:33 Trump Jokes about Sleeping in Planes 21:34 More Roadblocks in Minneapolis 23:05 Antifa Man Arrested in Minneapolis 24:40 AOC Praises Don Lemon for Storming the Church 28:23 Kamala Harris' New Announcement 31:17 CNN Mocks Kamala's Announcement 32:08 HQ 6-7 Becomes HQ 6-8 33:44 Fat Five 50:57 Breakdown of Trump Accounts 1:12:09 Professor Avi Loeb Talks Black Holes 1:27:03 Nancy Guthrie Update 1:32:56 Nancy Guthrie's Son Speaks to Kidnappers Learn more about your ad choices. Visit megaphone.fm/adchoices

Stay informed on current events, visit www.NaturalNews.com - Silver Market Volatility and Interview Preview (0:00) - Gold and Bitcoin Market Analysis (3:09) - Bitcoin's Transition to Digital Gold and Regulatory Challenges (6:09) - Health and Pharmaceutical Industry Critique (10:05) - Child Mutilation and Legal Action (13:56) - US Military Dominance and China's Technological Advancements (28:56) - China's Catal 5C Battery Breakthrough (31:42) - Decentralization and Off-Grid Living (1:04:33) - Quantum Radar and Stealth Aircraft Detection (1:07:04) - China's HQ-9 Air Defense System and Its Impact on US Military Strategy (1:24:12) - Thermal Emissions and Missile Capabilities (1:24:31) - US Military Vulnerability and Iran's Response (1:25:58) - China and Russia's Support for Iran (1:29:01) - US Military Dominance and Technological Lateness (1:34:49) - Economic and Social Implications (1:39:15) - Silver Market and Investment Strategies (1:49:15) - Industrial Demand and Supply Chain Issues (2:12:35) - Government Intervention and Strategic Metals (2:32:49) - Public Awareness and Self-Reliance (2:40:22) - Decentralization and Community Support (2:42:59) - Focus on Community and Preparedness (2:45:02) - Valentine's Day Sale Announcement (2:46:49) - Product Highlights and Support (2:48:20) - Final Remarks and Encouragement (2:50:00) Watch more independent videos at http://www.brighteon.com/channel/hrreport  ▶️ Support our mission by shopping at the Health Ranger Store - https://www.healthrangerstore.com ▶️ Check out exclusive deals and special offers at https://rangerdeals.com ▶️ Sign up for our newsletter to stay informed: https://www.naturalnews.com/Readerregistration.html Watch more exclusive videos here:

Things are fine if you just believe they are! This week we're talking about a lot of pervs (but not even the main ones from America's HQ) because I guess everyone is just like that!!!!!  14 min: Grammys Thoughts 21 min: Why Did the Safdie Bros Break Up   33 min: Griefbots 40 min: The RHONY reboot 50 min: Dump Dive - Tom Brady's Instagram, Danielle Bernstein's Breakup   60 min: Kesha vs. Dr. Luke  104 min: Caps off ___________________________________ Keep up with all the latest: https://www.goodnoticings.com/ Read our many musings on Substack: https://goodnoticings.substack.com/ Join the Patreon for new, exclusive episodes every Friday! https://www.patreon.com/c/goodnoticings Follow us on: TikTok- @goodnoticingspod Instagram- @goodnoticingspod Theme song by: Bri Connelly  ___________________________________ Kesha:  https://www.rollingstone.com/music/music-features/dr-luke-comeback-kesha-settlement-1234806919/ https://www.nytimes.com/2023/06/22/arts/music/kesha-dr-luke-settle-lawsuit.html https://www.vulture.com/article/timeline-keshas-legal-fight-against-dr-luke.html GriefBots:  https://www.theatlantic.com/ideas/2026/02/deadbots-ai-grief-obsolete/685811/ The Safdie Bros:  https://pagesix.com/2026/01/26/hollywood/the-teenage-sex-scene-that-sparked-safdie-brothers-infamous-rift/ RHONY Reboot: https://pagesix.com/2026/01/30/entertainment/original-rhony-cast-defects-from-bravo-with-new-show-for-rival-network/?utm_term=Autofeed&utm_campaign=pagesix&utm_medium=social&utm_source=twitter#Echobox=1769809407 Learn more about your ad choices. Visit podcastchoices.com/adchoices

What if the pain you're fighting isn't coming from your body at all, but from patterns wired deep inside your brain? In this powerful conversation, I sit down once again with one of the most impactful thinkers I know, Dr. Daniel Amen, to unpack a truth that changed how I see stress, pain, trauma, and healing. This is his fourth time on the show, and there's a reason you keep asking for him. Dr. Amen has helped millions of people understand their brains better, including me, and his newest work hit me harder than any book he's written before. We go deep into the idea that pain is not just a signal from your body, but a story your brain is telling. Whether it shows up as back pain, anxiety, depression, or chronic stress, the root often lives in specific brain circuits that get hijacked by trauma, unresolved emotion, inflammation, and unhealthy habits. I open up about my own childhood, the stress patterns I still carry, and how those experiences changed my brain in ways I never fully understood until now. Dr. Amen breaks down the pain HQ loop and explains how emotional pain, physical pain, and even moral or spiritual pain can trap you in cycles of suffering that feel impossible to escape. We talk about adverse childhood experiences, why unresolved rage often turns into chronic pain, and how habits like poor sleep, diet, and suppressed emotions quietly flip genetic switches that impact not just you, but future generations. But this conversation is not just about understanding the problem. It is about getting out. We walk through the healing loop and the exact tools that calm the brain, raise heart rate variability, and restore control over your nervous system. From diaphragmatic breathing and progressive relaxation to journaling, EMDR, hyperbaric oxygen, and nutritional support, this episode is packed with practical ways to take your power back. If you have ever felt stuck in your body, your mind, or your emotions, this episode will change how you see yourself. The real question Dr. Amen leaves us with is simple and life-altering: Is what you're doing right now good for your brain or bad for it? Answer that honestly, and everything starts to shift. Key Takeaways: Why pain is often created and amplified by brain circuits, not just physical injury How childhood trauma and stress hijack the brain's pain and suffering pathways What the pain HQ loop is and how it keeps people stuck in chronic stress and pain Simple daily practices that calm your nervous system and improve brain health Why your habits today affect your children and grandchildren more than you think This is one of those episodes you'll want to listen to more than once and share with someone who's been carrying pain they cannot explain. Get ready to see healing in a completely new way. Max out. ⁠⁠⁠