Podcasts about situational awareness

league gentle edited rogues situational awareness

Play Episode Listen Later Mar 13, 2026 15:05

This week on Situational Awareness, The Chaos Crew discuss the events of A League of Eggstraordinary Gentle Rogues.This episode contains profanity and crude humor.Follow us on X(Twitter) @diceypodFollow us on Instagram https://www.instagram.com/diceysituationspod/We also have a subreddit https://www.reddit.com/r/Dicey_Situations/Produced and Edited by Chris Romagna, Ryan Stemmler & Mark DePippoMusic by Eric PowerContact us diceysituationspod@gmail.com

J.L. Hancock- How Open-Source Data and AI Are Rewriting the Economics of Situational Awareness

Price of Business Show

Play Episode Listen Later Mar 12, 2026 7:42

03-11-2026 J.L. Hancock Learn more about the interview and get additional links here: https://thedailyblaze.com/how-open-source-data-and-ai-are-rewriting-the-economics-of-situational-awareness/ Subscribe to the best of our content here: https://priceofbusiness.substack.com/ Subscribe to our YouTube channel here: https://www.youtube.com/channel/UCywgbHv7dpiBG2Qswr_ceEQ

economics rewriting hancock situational awareness open source data

NVIDIA's AI Engineers: Agent Inference at Planetary Scale and "Speed of Light" — Nader Khalil (Brev), Kyle Kranen (Dynamo)

Latent Space: The AI Engineer Podcast â€” CodeGen, Agents, Computer Vision, Data Science, AI UX and all things Software 3.0

Play Episode Listen Later Mar 10, 2026 83:37

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

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The GPS theory and situational awareness

theory situational awareness

Play Episode Listen Later Mar 9, 2026 2:04 Transcription Available

Situational Awareness: TGS - An Actual Dicey Situation

edited situational awareness dicey

Play Episode Listen Later Mar 7, 2026 15:20

This week on Situational Awareness, The Chaos Crew discuss the events of An Actual Dicey Situation. This episode contains profanity and crude humor.Follow us on X(Twitter) @diceypodFollow us on Instagram https://www.instagram.com/diceysituationspod/We also have a subreddit https://www.reddit.com/r/Dicey_Situations/Produced and Edited by Chris Romagna, Ryan Stemmler & Mark DePippoMusic by Eric PowerContact us diceysituationspod@gmail.com

Why Realtors Need Self-Defense & Situational Awareness Training

Investor Fuel Real Estate Investing Mastermind - Audio Version

Play Episode Listen Later Mar 6, 2026 27:40

In this episode of the Real Estate Pros Podcast, self-defense expert Carmen Gulliksen discusses the importance of self-defense training, situational awareness, and the psychological benefits of martial arts. She explains how training can enhance personal safety, decision-making, and resilience in everyday life. Carmen also highlights the need for accessible self-defense training—especially for women in high-risk professions like real estate—and why regular practice is essential to maintain skills and confidence. The conversation also explores how self-defense training can positively impact mental health and workplace productivity. Professional Real Estate Investors - How we can help you: Investor Fuel Mastermind: Learn more about the Investor Fuel Mastermind, including 100% deal financing, massive discounts from vendors and sponsors you're already using, our world class community of over 150 members, and SO much more here: http://www.investorfuel.com/apply Investor Machine Marketing Partnership: Are you looking for consistent, high quality lead generation? Investor Machine is America's #1 lead generation service professional investors. Investor Machine provides true 'white glove' support to help you build the perfect marketing plan, then we'll execute it for you…talking and working together on an ongoing basis to help you hit YOUR goals! Learn more here: http://www.investormachine.com Coaching with Mike Hambright: Interested in 1 on 1 coaching with Mike Hambright? Mike coaches entrepreneurs looking to level up, build coaching or service based businesses (Mike runs multiple 7 and 8 figure a year businesses), building a coaching program and more. Learn more here: https://investorfuel.com/coachingwithmike Attend a Vacation/Mastermind Retreat with Mike Hambright: Interested in joining a "mini-mastermind" with Mike and his private clients on an upcoming "Retreat", either at locations like Cabo San Lucas, Napa, Park City ski trip, Yellowstone, or even at Mike's East Texas "Big H Ranch"? Learn more here: http://www.investorfuel.com/retreat Property Insurance: Join the largest and most investor friendly property insurance provider in 2 minutes. Free to join, and insure all your flips and rentals within minutes! There is NO easier insurance provider on the planet (turn insurance on or off in 1 minute without talking to anyone!), and there's no 15-30% agent mark up through this platform! Register here: https://myinvestorinsurance.com/ New Real Estate Investors - How we can work together: Investor Fuel Club (Coaching and Deal Partner Community): Looking to kickstart your real estate investing career? Join our one of a kind Coaching Community, Investor Fuel Club, where you'll get trained by some of the best real estate investors in America, and partner with them on deals! You don't need $ for deals…we'll partner with you and hold your hand along the way! Learn More here: http://www.investorfuel.com/club —--------------------

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253. You're Not Paranoid. Situational Awareness In Intimate Relationships

Dating After Divorce

Play Episode Listen Later Mar 6, 2026 36:00 Transcription Available

This episode is for the woman who has ever looked back and said, "I knew it. Why didn't I trust myself?"Sade unpacks why so many women dismiss their own instincts and how that dismissal — not the red flags themselves — leaves them most exposed. Memorizing red flags doesn't protect you. Situational awareness does. When you build that skill, no disguise fools you.Your nervous system collects data. Fear, discomfort, that "off" feeling — those are not signs you are dramatic or paranoid. They are signals. The problem is that women spend decades in training to ignore those signals, and then wonder why they feel anxious, confused, and stuck.Sade also names the two fears that keep women frozen: the fear of being wrong and the fear of being right. Both traps lead to the same outcome — doing nothing while things get worse.The work is the same whether you're dating, married, or navigating divorce. Discernment. Self-leadership. Knowing what a safe relationship looks and feels like. Building your own life and emotional resources.You didn't choose the conditioning that trained you to doubt yourself. But you can choose differently now.Ready to build your situational awareness with real support? Schedule a free consultation with Sade at sadecurry.com/schedule-appointment

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Situational Awareness in Government, with UK AISI Chief Scientist Geoffrey Irving

The Valmy

Play Episode Listen Later Mar 6, 2026 138:32

Podcast: "The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis Episode: Situational Awareness in Government, with UK AISI Chief Scientist Geoffrey IrvingRelease date: 2026-03-01Get Podcast Transcript →powered by Listen411 - fast audio-to-text and summarizationGeoffrey Irving, Chief Scientist at the UK AI Security Institute, explains why our theoretical understanding of machine learning remains fragile even as models surpass experts on critical security tasks. He details AISI's work on frontier model evaluations, red teaming, and threat modeling across biosecurity, cybersecurity, and loss-of-control risks. The conversation explores reward hacking, eval awareness, and why current safety techniques may struggle to deliver high reliability. Listeners will also hear how AISI is funding foundational research to build stronger guarantees for AI safety. Use the Granola Recipe Nathan relies on to identify blind spots across conversations, AI research, and decisions: https://bit.ly/granolablindspotSponsors: Serval: Serval uses AI-powered automations to cut IT help desk tickets by more than 50%, freeing your team from repetitive tasks like password resets and onboarding. Book your free pilot and guarantee 50% help desk automation by week 4 at https://serval.com/cognitive Claude: Claude is the AI collaborator that understands your entire workflow, from drafting and research to coding and complex problem-solving. Start tackling bigger problems with Claude and unlock Claude Pro's full capabilities at https://claude.ai/tcr Tasklet: Tasklet is an AI agent that automates your work 24/7; just describe what you want in plain English and it gets the job done. Try it for free and use code COGREV for 50% off your first month at https://tasklet.ai CHAPTERS: (00:00) About the Episode (04:09) From physics to ML (08:52) AGI uncertainty and threats (Part 1) (18:08) Sponsors: Serval | Claude (21:29) AGI uncertainty and threats (Part 2) (27:35) Control, autonomy, alignment (Part 1) (34:02) Sponsor: Tasklet (35:14) Control, autonomy, alignment (Part 2) (38:44) Inside the UK AC (51:02) Evaluations and jailbreaking (01:01:17) Emerging capabilities and misuse (01:14:20) Agents and reward hacking (01:26:09) Theoretical alignment agenda (01:38:39) Debate and formal methods (01:51:19) Limits of formalization (02:02:27) Future risks and governance (02:16:23) Episode Outro (02:18:58) Outro PRODUCED BY: https://aipodcast.ing SOCIAL LINKS: Website: https://www.cognitiverevolution.ai Twitter (Podcast): https://x.com/cogrev_podcast Twitter (Nathan): https://x.com/labenz LinkedIn: https://linkedin.com/in/nathanlabenz/ Youtube: https://youtube.com/@CognitiveRevolutionPodcast Apple: https://podcasts.apple.com/de/podcast/the-cognitive-revolution-ai-builders-researchers-and/id1669813431 Spotify: https://open.spotify.com/show/6yHyok3M3BjqzR0VB5MSyk

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Situational awareness in the business world

business leadership business world situational awareness

Play Episode Listen Later Mar 3, 2026 2:20 Transcription Available

TACTICAL TUESDAY - Training Situational Awareness on The Changing Earth

The Prepper Broadcasting Network

Play Episode Listen Later Mar 3, 2026 53:39 Transcription Available

The DYNAMIC DUO of Chin Gibson and author Sara F. Hathaway makes for one of the best podcasts on PBN! Enjoy this one on Situational Awareness. Buy Sara's incredible Changing Earth Series The Changing Earth Series | Sara F. Hathaway – Post-Apocalyptic DramaBecome a supporter of this podcast: https://www.spreaker.com/podcast/prepper-broadcasting-network--3295097/support.BECOME A SUPPORTER FOR AD FREE PODCASTS, EARLY ACCESS & TONS OF MEMBERS ONLY CONTENT!Red Beacon Ready OUR PREPAREDNESS SHOPThe Prepper's Medical Handbook Build Your Medical Cache – Welcome PBN FamilySupport PBN with a Donation Join the Prepper Broadcasting Network for expert insights on #Survival, #Prepping, #SelfReliance, #OffGridLiving, #Homesteading, #Homestead building, #SelfSufficiency, #Permaculture, #OffGrid solutions, and #SHTF preparedness. With diverse hosts and shows, get practical tips to thrive independently – subscribe now!Newsletter – Welcome PBN FamilyGet Your Free Copy of 50 MUST READ BOOKS TO SURVIVE DOOMSDAY

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Why Situational Awareness Is a Leadership Superpower – and Why Special Forces Operators Keep Showing Up in the C-Suite

Stories of Special Forces Operators

Play Episode Listen Later Mar 3, 2026 2:27 Transcription Available

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Situational Awareness in Government, with UK AISI Chief Scientist Geoffrey Irving

Play Episode Listen Later Mar 1, 2026 138:32

Geoffrey Irving, Chief Scientist at the UK AI Security Institute, explains why our theoretical understanding of machine learning remains fragile even as models surpass experts on critical security tasks. He details AISI's work on frontier model evaluations, red teaming, and threat modeling across biosecurity, cybersecurity, and loss-of-control risks. The conversation explores reward hacking, eval awareness, and why current safety techniques may struggle to deliver high reliability. Listeners will also hear how AISI is funding foundational research to build stronger guarantees for AI safety. Nathan uses Granola to uncover blind spots in conversations and AI research. Try it at ⁠granola.ai/tcr⁠ with code TCR — and if you're already using it, test his blind spot recipe here: ⁠https://bit.ly/granolablindspot⁠ Sponsors: Serval: Serval uses AI-powered automations to cut IT help desk tickets by more than 50%, freeing your team from repetitive tasks like password resets and onboarding. Book your free pilot and guarantee 50% help desk automation by week 4 at https://serval.com/cognitive Claude: Claude is the AI collaborator that understands your entire workflow, from drafting and research to coding and complex problem-solving. Start tackling bigger problems with Claude and unlock Claude Pro's full capabilities at https://claude.ai/tcr Tasklet: Tasklet is an AI agent that automates your work 24/7; just describe what you want in plain English and it gets the job done. Try it for free and use code COGREV for 50% off your first month at https://tasklet.ai CHAPTERS: (00:00) About the Episode (04:09) From physics to ML (08:52) AGI uncertainty and threats (Part 1) (18:08) Sponsors: Serval | Claude (21:29) AGI uncertainty and threats (Part 2) (27:35) Control, autonomy, alignment (Part 1) (34:02) Sponsor: Tasklet (35:14) Control, autonomy, alignment (Part 2) (38:44) Inside the UK AC (51:02) Evaluations and jailbreaking (01:01:17) Emerging capabilities and misuse (01:14:20) Agents and reward hacking (01:26:09) Theoretical alignment agenda (01:38:39) Debate and formal methods (01:51:19) Limits of formalization (02:02:27) Future risks and governance (02:16:23) Episode Outro (02:18:58) Outro PRODUCED BY: https://aipodcast.ing SOCIAL LINKS: Website: https://www.cognitiverevolution.ai Twitter (Podcast): https://x.com/cogrev_podcast Twitter (Nathan): https://x.com/labenz LinkedIn: https://linkedin.com/in/nathanlabenz/ Youtube: https://youtube.com/@CognitiveRevolutionPodcast Apple: https://podcasts.apple.com/de/podcast/the-cognitive-revolution-ai-builders-researchers-and/id1669813431 Spotify: https://open.spotify.com/show/6yHyok3M3BjqzR0VB5MSyk

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Patrick from Grid Down Comms UP looks at an Awesome New Software - Area Study Map

Prepping Academy

Play Episode Listen Later Feb 28, 2026 22:16

Send a textIn this episode, Patrick from Grid Down Comms UP looks at an awesome new software to move your Area Study into the 21st century. No more kindergarten crayons and construction paper, a real solution to your Areas Study mapping needs. Area Study Map is a personal reconnaissance tool that runs entirely in your browser — no accounts, no cloud, no data leaving your machine. Map population density, mark water sources, log supply caches, and build layered intelligence overlays for the terrain that matters most: yours. When cell towers go dark and roads close, the people who already know their ground are the ones who stay ahead. This isn't paranoia — it's the most practical thing you can do before you need to.Get $50 OFF with our coupon: GRIDDOWNCOMMSUPor just use this link:https://areastudymap.com/?coupon=GRIDDOWNCOMMSUP Join PrepperNet.Net - https://www.preppernet.netPrepperNet is an organization of like-minded individuals who believe in personal responsibility, individual freedoms and preparing for disasters of all origins.PrepperNet Support the showPlease give us 5 Stars! www.preppingacademy.com Daily deals for preppers, survivalists, off-gridders, homesteaders https://prepperfinds.com Contact us: https://preppingacademy.com/contact/ www.preppernet.net Amazon Store: https://amzn.to/3lheTRTwww.forrestgarvin.com

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Situational Awareness: TGS - Locomotion Commotion

edited situational awareness commotion locomotion

Play Episode Listen Later Feb 27, 2026 15:50

This week on Situational Awareness, The Chaos Crew discuss the events of Locomotion Commotion.This episode contains profanity and crude humor.Follow us on X(Twitter) @diceypodFollow us on Instagram https://www.instagram.com/diceysituationspod/We also have a subreddit https://www.reddit.com/r/Dicey_Situations/Produced and Edited by Chris Romagna, Ryan Stemmler & Mark DePippoMusic by Eric PowerContact us diceysituationspod@gmail.com

Y Combinator grad and AI insurance brokerage Harper raises $47M; plus, AI chip startup MatX raised $500M

TechCrunch Startups – Spoken Edition

Play Episode Listen Later Feb 25, 2026 6:24

Harper is an AI-native insurance brokerage that just raised a $45 million combined Series A and seed, after a member of YC's Winter 2025 cohort. Also, MatX, a chip startup founded by two former Google hardware engineers, has raised a $500 million Series B led by Jane Street and Situational Awareness, an investment fund formed by former OpenAI researcher Leopold Aschenbrenner. Learn more about your ad choices. Visit podcastchoices.com/adchoices

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Situational Awareness: Episode - TGS (Draw) Four Rogues

draw edited rogues situational awareness

Play Episode Listen Later Feb 20, 2026 16:51

This week on Situational Awareness, The Choas Crew discuss the events of The Gort Shorts (Draw) Four Rogues.This episode contains profanity and crude humor.Follow us on X(Twitter) @diceypodFollow us on Instagram https://www.instagram.com/diceysituationspod/We also have a subreddit https://www.reddit.com/r/Dicey_Situations/Produced and Edited by Chris Romagna, Ryan Stemmler & Mark DePippoMusic by Eric PowerContact us diceysituationspod@gmail.com

AI and situational awareness in law-enforcement

ai sports law enforcement situational awareness

Play Episode Listen Later Feb 18, 2026 2:40 Transcription Available

Check out our new Sports podcast logical leadoff

Situational Awareness: Episode 100

Play Episode Listen Later Feb 13, 2026 18:33

This week on Situational Awareness, The Chaos Crew discuss the events of The Call.This episode contains profanity and crude humor.Follow us on X(Twitter) @diceypodFollow us on Instagram https://www.instagram.com/diceysituationspod/We also have a subreddit https://www.reddit.com/r/Dicey_Situations/Produced and Edited by Chris Romagna, Ryan Stemmler & Mark DePippoMusic by Eric PowerContact us diceysituationspod@gmail.com

Atlantic Bushcraft Adventures

Episode 351 - Situational awareness in the Bush

Play Episode Listen Later Feb 12, 2026 33:39

Look up! Look down! Look around! tonight we are chatting about Situational awareness while you are out in the bush! What are some things most commonly missed? What are somethings you might not have thought about? The plan is to shed some light on this topic here tonight! (full disclosure, we have a storm rolling in here on the east coast, so business as usually providing I have power!)

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Tony Blauer on Overcoming Fear for Personal Growth, Resilience in the Face of Betrayal, and Trusting Instincts for Business Success

Acta Non Verba

Play Episode Listen Later Feb 11, 2026 82:52

In this episode of Acta Non Verba, Marcus Aurelius Anderson sits down with legendary self-defense expert and fear management coach Tony Blauer for an in-depth discussion on betrayal, resilience, and the power of managing fear in business and life. Tony shares candid stories of being betrayed by trusted partners and employees over his 40+ year career, revealing how he's shortened his recovery time from months to mere hours through the principles he teaches. The conversation explores the "timeline of violence" concept applied to business relationships, the importance of trusting your instincts, and why fear—when properly managed—becomes your greatest asset rather than your enemy. Episode Highlights [4:18] Betrayal is Inevitable for Innovators - If you're creating something original and breaking new ground, people will copy you. Tony shares how he went from taking months to recover from betrayal to processing it in 24 hours by building his "resilience muscle" through experience and applying his own fear management principles. [33:34] The Three I's: Instincts, Intuition, and Intelligence - Tony reveals the core of his SPEAR system's soft skills: your instincts give you a "bad feeling," your intuition whispers warnings, but cognitive dissonance often makes you ignore both. Learning to trust these signals and "choose safety" is critical in business partnerships, relationships, and dangerous situations. [53:54] You Can't Be Brave If You're Not Afraid - The primary ingredient of courage is fear. Tony explains why there are things in life you must do afraid, and you'll never not be afraid of them. The key is managing fear rather than eliminating it—mismanaged fear is always negative, but managed fear is always positive. [69:50] The Rational-Lie - We all rationalize why we should or shouldn't do something, but when you put a hyphen between "rational" and "lie," you realize you're selling yourself a story. Tony shares how recognizing your rational-lies—whether in business decisions, relationships, or self-defense situations—is the first step to making better choices. Tony Blauer is a pioneer in close-quarters combat, self-defense, and fear management training with over 40 years of experience. He created the SPEAR System (Spontaneous Protection Enabling Accelerated Response), the world's only behaviorally-based self-defense protocol founded on neurobiology, kinesiology, and psychology. Tony has trained military special forces, law enforcement agencies, and martial artists worldwide, and his research on fear and human performance has influenced everyone from Hollywood actors to elite operators. He's also developed the "Know Fear" program, teaching people how to convert fear into fuel for peak performance in high-stress situations. At 65, Tony continues to innovate and mentor through Blauer Training Systems, sharing hard-won wisdom on resilience, courage, and the intersection of physical and psychological preparedness. Learn more about the gift of Adversity and my mission to help my fellow humans create a better world by heading to www.marcusaureliusanderson.com. There you can take action by joining my ANV inner circle to get exclusive content and information.See omnystudio.com/listener for privacy information.

Situational Awareness

How to meditate | Guided Meditation and talks

Play Episode Listen Later Feb 11, 2026 16:52

Laung Por Pasanno offered this reflection on 5 October 2025 at Amaravati Buddhist Monastery. The post Situational Awareness appeared first on Amaravati Buddhist Monastery.

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Situational Awareness: Episode 99

Play Episode Listen Later Feb 6, 2026 18:55

This week on Situational Awareness, The Chaos Crew discuss the events of Moons Over Simia.This episode contains profanity and crude humor.Follow us on X(Twitter) @diceypodFollow us on Instagram https://www.instagram.com/diceysituationspod/We also have a subreddit https://www.reddit.com/r/Dicey_Situations/Produced and Edited by Chris Romagna, Ryan Stemmler & Mark DePippoMusic by Eric PowerContact us diceysituationspod@gmail.com

WhatCopsWatch – Putting a Human Face on Those Behind the Badge – Education, Entertainment, COPS.

Did Criminal Minds Get Crisis Negotiation & Mental Health Details Right?

Play Episode Listen Later Feb 6, 2026 155:54

We all know that television and movies simply don't have enough time to give us what REALLY happens in Law Enforcement circles, in particular, Crisis Negotiation but - what IS Hollywood giving us when it comes to Crisis Negotiation and understanding Mental Health? The answer is reasonably horrifying. There are so many details, scenarios, perspectives and processes that have to be shoved into a 43-minute package, and it's time to find out what Hollywood is offering us from Crisis Negotiator Trainer, Pat Doering, The Crisis Cop and Crisis Negotiator and Clinical Psychologist Dr. Morgan Krumeich. It's time for a Perspective Review of Criminal Minds, Season 1, Episode 9 - "Derailed" via WhatCopsWatch on The 2GuysTalking Podcast Network. The Perspective Reviews Podcast Connection Links: Connect with The Host (and View Direct Contact information Below!) Subscribe to This Podcast & Listen Now! Subscribe, Like, and Share Everywhere! Help Perspective Reviews Grow! Rate this Podcast on iTunes! The ultimate success for every podcaster – is FEEDBACK! Be sure to take just a few minutes to tell the hosts of this podcast what YOU think over at iTunes! It takes only a few minutes but helps the hosts of this program pave the way to future greatness! Not an iTunes user? No problem! Be sure to check out any of the other many growing podcast directories online to find this and many other podcasts on The 2GuysTalking Podcast Network! Links to Enjoy This Film! It's easy to have the same great experience from this film as we go! Hit the links below and get your copy of the film's soundtrack, score or even the movie itself! Housekeeping -- The Crisis Cop Podcast: Check it Out! https://CrisisCop.Com -- Calling All Future Role Players! Got a knack for acting and thinking on your feet? Train the future of Law Enforcement via Crisis Negotiation and Tell Us You're Interested Today! https://BlueBaggersProject.Com -- WhatCopsWatch/2GuysTalking is Now an Official USCCA Business Partner! -- Free Field Training: Inside this episode we welcome Officer Tommy Mottl from Free Field Training on YouTube (and now, from The Free Field Training Podcast effort) to share his perspective on - literally - the area that he has intimate knowledge about in the South Chicagoland area... Two Great Ways to Listen/Watch! We are proud to provide you both a dedicated AUDIO and VIDEO presentation for this program! To Listen Now: Hit the play button in the player on this page or hit the Subscribe button on your favorite Podcast Directory to instantly get these episodes when they release! To Watch Now: Visit this program on YouTube, or hit the window located below to see the hosts, guests and light bulb moments that make this program special! https://www.youtube.com/watch?v=JByG1f9o2bo Timestamps for This Episode: 00:00 "Crisis Negotiation Training Insights" 14:34 FBI Training Scenarios Experience 23:55 "Power of Great Writing" 32:47 "Security Guard's Fatal Moment" 50:43 "Phenomenal Film on Schizophrenia" 53:31 "Negotiation and Priest Protocol" 01:08:31 "Realistic Brainstorming in Negotiations" 01:20:35 "Hostage Rescue Tactical Insights" 01:23:10 "Critical Hostage Communication Strategy" 01:40:37 Ron Howard's Passionate Direction 01:48:45 Situational Awareness and Safety 01:56:56 "Revenge and Obsession Spiral" 02:13:01 "Crisis, Counselors, and Modern Solutions" 02:17:57 "Surviving Trauma and Loss" 02:31:16 "Entertainment's Unsteady Landscape" 02:36:10 WhatCops Watch: Next Episode Questions from This Episode: How accurately do you think Criminal Minds portrayed crisis negotiation and mental health issues in this episode, based on the insights shared byPat Doering, Mike Wilkerson and Dr. Morgan Krumeich What impact does the lack of realistic negotiation strategy in the TV episode have on viewers' understanding of real-life crisis response? Pat Doering and Mike Wilkerson share personal experiences with real-life hostage scenarios and negotiations. What stood out to you most in their comparisons between Hollywood and reality? The episode discusses the importance of not “playing into” a subject's delusions during negotiation. Why might affirming a delusional belief be risky, and what are alternative approaches? The team talks about the integration of mental health professionals into law enforcement responses. What are the potential challenges and benefits discussed concerning this collaboration? Both hosts and Dr. Morgan mention the rise in mental health-related crisis calls. How do you think police departments can best equip themselves to handle these situations? The episode criticizes the decision to send an additional "hostage" (Spencer) into the crisis situation as unrealistic and dangerous. Why is this problematic from a tactical and negotiation standpoint? With so much of the episode's critique revolving around writing choices for suspense versus realism, do you think it's possible for TV dramas to balance excitement and accuracy? Why or why not? The discussion touched on situational awareness, both in professional and personal life. How might increased public education on situational awareness benefit everyday safety? After watching this episode and listening to the breakdown, do you think shows like Criminal Minds help or hurt public perception of law enforcement, negotiation, and mental health crises? Why? Links from this Episode: Crisis Cop Podcast & Related Sites: Crisis Cop Podcast: https://crisiscop.com Crisis Cop Podcast Library: https://crisiscoppodcast.com Role Player & Crisis Negotiation Training: Blue Baggers Project – Professional role players for crisis negotiation training: https://bluebaggersproject.com Criminal Minds Viewing: Watch Criminal Minds on Hulu: https://www.hulu.com/series/criminal-minds-518564c2-380b-4f4e-acc1-7c75a59c8ad9 Paramount Plus: https://www.paramountplus.com/shows/criminal-minds/ Referenced Books & Authors: "Mindhunter" by John Douglas: https://www.amazon.com/Mindhunter-Inside-Elite-Criminal-Unit/dp/0671023850 "Whoever Fights Monsters" by Robert Ressler: https://www.amazon.com/Whoever-Fights-Monsters-Serial-Killers/dp/0312059412 "Dark Dreams" by Roy Hazelwood: https://www.amazon.com/Dark-Dreams-Legendary-Crimes-Investigator/dp/0312301439 Real-Life Case References & Negotiation: The Negotiator movie and real story review: https://twoguystalking.com/thenegotiator "Stalling for Time" by Gary Noesner (FBI Negotiator): https://www.amazon.com/Stalling-Time-Hostage-Negotiator-ebook/dp/B003F3PKTU/ National Tactical Officers Association: https://www.ntoa.org/ Mental Health & Psychology Resources: National Alliance on Mental Illness: https://www.nami.org/Home Information about Tardive Dyskinesia: https://www.ninds.nih.gov/health-information/disorders/tardive-dyskinesia Referenced TV Shows & Films: Flashpoint (negotiation-focused show): https://www.amazon.com/Flashpoint-Season-1/dp/B002EIQB4E The Wire (cop drama): https://www.hbo.com/the-wire True Blood: https://www.hbo.com/true-blood Beautiful Mind (film): https://www.imdb.com/title/tt0268978/ Silence of the Lambs (film): https://www.imdb.com/title/tt0102926/ Podcast & Voice Broadcasting Services: EditorCore, for podcast editing: https://editorcore.com VoiceFarmers, for voice services: https://voicefarmers.com Show Contact & Feedback: Contact WhatCopsWatch.com: https://whatcopswatch.com/contact Calls to the Audience Inside this Episode: — What do YOU think of storytelling that we are given nowadays inside of what Hollywood shovels to us? Tell us now! — What did YOU think of the long-running television series, Criminal Minds? Tell us now! Be an Advertiser/Sponsor for This Program! Tell us what you think! It's never too late to be an advertiser in this podcast, thanks to Perpetual Advertising! Contact WhatCopsWatch now and learn more about why podcasting allows your advertising dollar to live across millions of future listeners – FOREVER! Tell Us What You Think About WhatCopsWatch: Tell us what you think and we'll use your comments in a future ALL-FAN-INPUT Episode! Educating the public is what we've based all of our programming on and we're eager to connect with others who are doing it! Know about another podcast , YouTuber or other media generator making a difference in the way of perspective when it comes to law enforcement? Tell us about them now and we'll link to them and have them on a future episode of WhatCopsWatch.Com! The Hosts of this Program: Morgan Krumeich Dr. Morgan Krumeich is a highly respected Clinical Psychologist and Crisis Negotiator, recognized for her expertise in working with first responders and law enforcement professionals. With a strong background in mental health care, she specializes in promoting wellness, resiliency, and effective crisis response among those who routinely face high-stress and traumatic situations. Based in Pittsburgh, Dr. Krumeich offers a blend of clinical skills and real-world application. She not only provides therapy and interventions, but also delivers training sessions designed to give law enforcement and EMS personnel the practical mental health tools they need to manage the rising tide of mental health calls in their daily work. Her passion for education stretches from teaching resiliency and post-traumatic stress management, to ensuring that professionals have access to resources tailored specifically to the demands of their fields. Dr. Krumeich is also an experienced member of a local crisis negotiation team,

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Raising Expectations, February 2, 2026

Raising Expectations with Pastor Joe Schofield

Play Episode Listen Later Feb 3, 2026 53:48

Raising Expectations with Pastor Joe Schofield, Dr. Paul Hall, Stefanie Thayer, Dr. Craig Thayer, Pastor Ron Greer Guest, Frank Roberson with the “Black Rhino Protection Agency” Friends, We are so glad to have our dear friend and special part of our family back with us this week! Founder and CEO of Black Rhino Group, Protective Services, Counterintelligence Threat and Protective intelligence specialists, Frank Roberson is the best in this field! What is the danger we are seeing with the mobs of people actually rioting in the streets and disrupting the lives of the vast majority of citizens living in Minneapolis , Minnesota? Statistics show that 2% of the people are causing the dangerous problems for 98% of the people living there! Anarchy attempting to close life down. What does that mean for citizens and families in manufactured danger zones and situations? “Situational Awareness” is critically important today! We will discuss these and other topics your family needs to understand ? Lives could depend upon it and in the least case stress and worries could be relieved! Hear Frank share insights and give wisdom for us to learn and impart clarity that we might better understand the dangers inherent in the battle between good and evil all around us today. The Team! Pastor Joe Schofield, Dr. Paul Hall, Stefanie Thayer, Dr. Craig Thayer, Pastor Ron Greer.

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Situational Awareness: Episode 98

Play Episode Listen Later Jan 30, 2026 18:57

This week on Situational Awareness, The Chaos Crew discuss the events of A Little Jab'll Goo Ya.This episode contains profanity and crude humor.Follow us on X(Twitter) @diceypodFollow us on Instagram https://www.instagram.com/diceysituationspod/We also have a subreddit https://www.reddit.com/r/Dicey_Situations/Produced and Edited by Chris Romagna, Ryan Stemmler & Mark DePippoMusic by Eric PowerContact us diceysituationspod@gmail.com

Situational awareness in protest environments

protests environments situational awareness

Play Episode Listen Later Jan 27, 2026 2:55 Transcription Available

The FBI's Charlie Kirk Narrative: Candace Owens, Erika Kirk, Tyler Robinson, and the Questions No One Will Touch

Uncommon Sense with Ginny Robinson

Play Episode Listen Later Jan 26, 2026 40:20

In this episode of Uncommon Sense, I break down why I'm not satisfied with the FBI's official narrative surrounding Charlie Kirk and why I believe too many questions have been quietly labeled “off limits.”I explain why I agree with Candace Owens that the Tyler Robinson explanation feels incomplete, at best, and why the idea that he acted entirely alone deserves serious scrutiny rather than blind acceptance. I also address my personal suspicions regarding Erika Kirk and the toxic culture within TPUSA, shaped by my own experiences and tensions with TPUSA staff behind the scenes.Drawing from TPUSA events, I recount direct disagreements I had with staff over what I viewed as dangerously inadequate security, and why Charlie, tragically, never seemed to fully grasp how influential and vulnerable he had become. Finally, I discuss my theories and unanswered questions surrounding possible Israeli intelligence involvement (I do believe Mossad played a part in all of this).We must always dare to think our own thoughts and ask our own questions. Don't let them take that away from you.--https://www.bible.com/

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Situational Awareness: Episode 97

solve edited situational awareness

Play Episode Listen Later Jan 23, 2026 16:32

This week on Situational Awareness, The Chaos Crew discuss the events of Solve the Zolve.This episode contains profanity and crude humor.Follow us on X(Twitter) @diceypodFollow us on Instagram https://www.instagram.com/diceysituationspod/We also have a subreddit https://www.reddit.com/r/Dicey_Situations/Produced and Edited by Chris Romagna, Ryan Stemmler & Mark DePippoMusic by Eric PowerContact us diceysituationspod@gmail.com

Dustin Dobbyn on Church Security, the FACE Act, and Everyday Situational Awareness

The Marc Cox Morning Show

Play Episode Listen Later Jan 19, 2026 10:43

Security expert Dustin Dobbyn, a Marine Corps veteran and former SWAT operator, reacts to the Minnesota church invasion and explains why houses of worship should be off limits. He breaks down the importance of enforcing the Freedom of Access to Clinic Entrances Act, why churches should consider trained, armed security, and the advantages of concealed carry over open carry.

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Situational Awareness: Episode 96

Play Episode Listen Later Jan 16, 2026 21:45

This week on Situational Awareness, The Chaos Crew discuss the events of A River Runs Goo It.This episode contains profanity and crude humor.Follow us on X(Twitter) @diceypodFollow us on Instagram https://www.instagram.com/diceysituationspod/We also have a subreddit https://www.reddit.com/r/Dicey_Situations/Produced and Edited by Chris Romagna, Ryan Stemmler & Mark DePippoMusic by Eric PowerContact us diceysituationspod@gmail.com

The Situation with Michael Brown

01-12-26 - 10am - Situational Awareness and Autistic Barbie

Play Episode Listen Later Jan 12, 2026 33:29 Transcription Available

autistic situational awareness

Situational Awareness: Episode 95

head edited situational awareness

Play Episode Listen Later Jan 9, 2026 19:42

This week on Situational Awareness The Chaos Crew Discuss the events of You've Head it 1,000 Times.This episode contains profanity and crude humor.Follow us on X(Twitter) @diceypodFollow us on Instagram https://www.instagram.com/diceysituationspod/We also have a subreddit https://www.reddit.com/r/Dicey_Situations/Produced and Edited by Chris Romagna, Ryan Stemmler & Mark DePippoMusic by Eric PowerContact us diceysituationspod@gmail.com

Situational Awareness: Fringle All The Way Part 2

Play Episode Listen Later Jan 6, 2026 18:51

This week on Situational Awareness, The Chaos Crew discuss the events of Fringle All The Way Part 2.This episode contains profanity and crude humor.Follow us on X(Twitter) @diceypodFollow us on Instagram https://www.instagram.com/diceysituationspod/We also have a subreddit https://www.reddit.com/r/Dicey_Situations/Produced and Edited by Chris Romagna, Ryan Stemmler & Mark DePippoMusic by Eric PowerContact us diceysituationspod@gmail.com

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Mel K & Steve Slepcevic | Situational Awareness, Preparing for Anything, & Being Your Own Hero | 1-3-26

The Mel K Show

Play Episode Listen Later Jan 4, 2026 54:51

Satellite Phone Store - Reliable Satellite Phones & Internet https://sat123.com/melk/ Beverly Hills Precious Metals Exchange - Buy Gold & Silver https://themelkshow.com/gold/ Speak with Gold Expert Andrew Sorchini…Tell Him Mel K Sent You! Learn more about Steve Slepcevic & Strategic Response Partners: https://srp24.com https://x.com/SteveSlepcevic

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How To Spot A Shooter: Situational Awareness

Phil in the Blanks

Play Episode Listen Later Dec 27, 2025 37:00

How to spot danger before a mass shooting: real stories and practical situational awareness you can use anywhere.Dr. Phil breaks down how to spot early warning signs before violence erupts, at the mall, on campus, at the beach, anywhere you live life. Using real cases from a Black Friday shooting in San Jose, the Bondi Beach Hanukkah attack, and the Brown University lockdown, he explains baselines vs anomalies, crowd behavior shifts, and why your gut often knows first. You'll learn simple situational awareness habits, what “run, hide, fight” really looks like in the real world, how to talk to your kids without scaring them, and what to do if you see threatening behavior online or in person.Watch on Linear (Subscriptions needed):Spectrum/Charter - https://www.spectrum.com/cable-tv/channel-lineup (Search for Envoy TV; Channel may vary by location)Frndly TV - https://watch.frndlytv.com/channel/live/envoy_tvFAST (No subscriptions needed):SamsungTV Plus - Channel 2977 or found in the category Lifestyle & Pop CultureLocal Now - Download the app on your CTV or stream via Web https://localnow.com/channels/envoy-fastVIDAA on Hisense TV's - Watch on Hisense TV's with VIDAA OS or download the VIDAA App (IOS https://apps.apple.com/gb/app/vidaa/id1526408639 and Google Play https://play.google.com/store/apps/details?id=com.universal.remote.multi&hl=en_US)And more to come!See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Situational Awareness: Kringle All The Way Part 1

edited situational awareness kringle

Play Episode Listen Later Dec 27, 2025 23:39

This week on Situational Awareness, The Chaos Crew messed up so we just spitball about holiday stuff.This episode contains profanity and crude humor.Follow us on X(Twitter) @diceypodFollow us on Instagram https://www.instagram.com/diceysituationspod/We also have a subreddit https://www.reddit.com/r/Dicey_Situations/Produced and Edited by Chris Romagna, Ryan Stemmler & Mark DePippoMusic by Eric PowerContact us diceysituationspod@gmail.com

Jeans-Mas Vacation w/ Chevy Chase | Your Mom's House Ep. 841

Your Mom's House with Christina P. and Tom Segura

Play Episode Listen Later Dec 24, 2025 67:56

SPONSORS: - For simple, online access to personalized and affordable care for Hair Loss, Weight Loss, and more, visit https://Hims.com/YMH. - Go to https://quince.com/mom for free shipping on your order and 365-day returns. - New Customers Bet $5 Get $200 in Bonus Bets If Your Bet Wins. The Crown Is Yours! Sign up using https://dkng.co/mom or through my promo code MOM. #DKPartner - Head to http://Wayfair.com right now to shop all things home. Hallelujah! Where's the Tylenol? It's a very YMH Christmas, and the studio is lit up like Clark Griswold's house because comedy legend Chevy Chase stops by! Tom and Christina unwrap holiday trauma, German Christmas music meltdowns, Santa vs. Baby Jesúska, dangerous European elevators, and the evolution of internet weirdos. Then Chevy joins to talk SNL, Three Amigos, the making of Vacation, Forrest Gump almost being his role, improv secrets, wild celebrity encounters, and why Richard Pryor was untouchable. Grab your eggnog and your wolf coat—this one is a Christmas classic. Your Mom's House Ep. 841 https://tomsegura.com/tour https://christinap.com/ https://store.ymhstudios.com https://www.reddit.com/r/yourmomshousepodcast GAMBLING PROBLEM? CALL 1-800-GAMBLER, (800) 327-5050 or visit https://gamblinghelplinema.org (MA). Call 877-8-HOPENY/text HOPENY (467369) (NY). Please Gamble Responsibly. 888-789-7777/visit https://ccpg.org (CT), or visit https://mdgamblinghelp.org (MD). 21+ and present in most states. (18+ DC/KY/NH/WY). Void in ONT/OR/NH. Eligibility restrictions apply. On behalf of Boot Hill Casino & Resort (KS). Pass-thru of per wager tax may apply in IL. 1 per new customer. Must register new account to receive reward Token. Must select Token BEFORE placing min. $5 bet to receive $200 in Bonus Bets if your bet wins. Min. -500 odds req. Token and Bonus Bets are single-use and non-withdrawable. Token expires 1/11/26. Bonus Bets expire in 7 days (168 hours). Stake removed from payout. Terms: https://sportsbook.draftkings.com/promos. Ends 1/4/26 at 11:59 PM ET. Sponsored by DK. Chapters 00:00:00 - Intro 00:00:11 - Merry Jeans-mas! 00:06:57 - Opening Clip: Cure For A Bad Day 00:08:57 - Threads, Diddy Doc, & Day Of The Jackal 00:19:51 - Clip: Chinese Girlfriend Song 00:20:49 - Situational Awareness 00:26:05 - Chevy Chase 00:30:15 - Saturday Night Live & Studio Comedies 00:39:42 - Other Roles, Directors, & Dan Aykroyd 00:46:53 - Presidents 00:50:12 - Carlin, Pryor, & The Bomb Squad 00:56:31 - The Legacy Of Vacation 01:03:05 - Wrap Up 01:04:41 - Closing Song - "Bedspread Shit" by Unknown Learn more about your ad choices. Visit megaphone.fm/adchoices

Charlottetown Islanders Head Coach Jim Hulton: Improving situational awareness, in-game adjustments and people before players

Glass & Out

Play Episode Listen Later Dec 23, 2025 83:04

In episode 321 of the Glass and Out Podcast, Head Coach of the Charlottetown Islanders, Jim Hulton, stops by to chat. Currently in his 11th season as the organization's Head Coach and General Manager, Hulton has enjoyed an incredible career that spans over 30 years. During his tenure with the Islanders, he has been named QMJHL General Manager of the Year, QMJHL Coach of the Year twice and CHL Coach of the Year. Prior to landing in PEI, he spent time as the Head Coach of three OHL franchises, the Mississauga Ice Dogs, Bellville Bulls and Kingston Frontenacs. He then spent three seasons with friend Pete DeBoer's staff with the Florida Panthers as they cut their teeth in the NHL. Internationally, Hulton represented Canada on several occasions, including being an Assistant Coach with the 2005 World Junior Team, who captured Gold in North Dakota and are considered by many to be the most impressive collection of talent ever assembled at the tournament. Listen as he shares how to improve a player's ability to think the game, his approach to making in-game adjustments, and the power of asking questions. Watch on Youtube: https://youtu.be/PZMBMicFiNg Learn more about our presenting sponsors: State & Liberty: stateandliberty.com/tcs Biosteel: BioSteelTeams.com/Glassandout Hudl: hudl.com/tcs

Situational Awareness: Episode 94

Play Episode Listen Later Dec 19, 2025 17:13

This week on Situational Awareness, The Chaos Crew discuss the events of Who's Your Haberdasher.This episode contains profanity and crude humor.Follow us on X(Twitter) @diceypodFollow us on Instagram https://www.instagram.com/diceysituationspod/We also have a subreddit https://www.reddit.com/r/Dicey_Situations/Produced and Edited by Chris Romagna, Ryan Stemmler & Mark DePippoMusic by Eric PowerContact us diceysituationspod@gmail.com

The Straight Shift with The Car Chick

From Classroom to Field: Football Officials Clinics Unveiled

Whistle Talk

Play Episode Listen Later Dec 18, 2025 71:48

In this episode of Whistle Talk, hosts Mike D and Daniel eora, Scott Aronowitz, and Andrew McGrath to discuss the significance of officiating clinics in football. They explore the evolution of coaching clinics, the importance of situational awareness, and the role of technology in officiating. The conversation emphasizes professionalism, accountability, and the need for continuous learning in the officiating community. The guests share insights from their experiences and the goals of their respective clinics, aiming to enhance the quality of officiating and coaching in football.Chapters00:00 Introduction to Whistle Talk03:11 The Importance of Officiating Clinics06:10 Insights from Experienced Officials09:00 The Role of Situational Awareness in Officiating12:08 The Evolution of Coaching Clinics14:54 The Value of Networking in Clinics18:08 Learning from Mistakes in Officiating20:46 The Impact of Time and Score on Game Management24:13 Preparing for Game Situations27:10 Reflections on Officiating Experiences39:27 The Importance of Being Coachable42:15 Feedback and Growth in Officiating46:48 Utilizing Technology in Officiating Clinics52:53 The Role of Professionalism in Officiating01:01:01 Engagement and Accountability in Officiating01:08:00 Promoting Clinics and Resources for OfficialsCheck out the clinics herehttps://www.fifoa.org/

Why Cars Are Like Guns — And Why That Should Change How You Drive

Play Episode Listen Later Dec 17, 2025 33:17 Transcription Available

SummaryIn this final episode of 2025, The Car Chick® takes a more personal turn—sharing how recent firearms training led to a powerful realization about driving safety.This episode is not about politics or gun rights. It's about responsibility, training, and what happens when we treat powerful tools too casually. From overwhelming choices and “gear over skill” thinking to why training matters more than gadgets, LeeAnn draws clear parallels between firearms safety and everyday driving.She closes with The Car Chick's 4 Universal Rules of Driving Safety, a framework every driver should carry with them—especially during busy holiday travel.TakeawaysCars and firearms are both powerful tools that require training and responsibilitySkill and training matter more than equipment or “mods”Random opinions aren't a strategy—clear priorities areSituational awareness prevents emergencies before they happenDriving deserves the same seriousness we apply to firearm safetyYou can view a full list of resources and episode transcripts here. Connect with LeeAnn: Website Instagram Facebook YouTube Work with LeeAnn: Course: The No BS Guide to Buying a Car Car Buying Service Copyright ©2024 Women's Automotive Solutions Inc., dba The Car Chick. All rights reserved.

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The Giants have talent, but can't do the little things to win

Bleav in Giants

Play Episode Listen Later Dec 15, 2025 32:21

After calling the game and diving into the film, Bob Papa and Carl Banks recap the Giants' loss and what went wrong. From failing to handle the little things to giving up costly plays on defense and special teams, they break down the bad habits that keep showing up. 0:00 | Intro: Dissecting the Loss to the Commanders 0:34 | The Fatal Flaws: Why Good Stats Are Lying to the Giants 4:50 | Execution is Optional: The Problem with Situational Awareness 9:58 | Momentum Killers: The Cost of Missed Opportunities on Offense 14:26 | Praising Abdul Carter's Dominant, Well-Rounded Game 22:15 | Enforcing the Standard: The Unchanging Principles of Winning 27:49 | The MetLife Stadium Wind Theory: How to Gain a Home Field Advantage 32:06 | Wrap-up & Looking Ahead to the Vikings Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

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Situational Awareness Reset (Do This Everywhere)

The Mind4Survival Podcast

Play Episode Listen Later Dec 12, 2025 44:17

Situational awareness resets keep us focused and prepared as we move through the changes of our daily lives. The post Situational Awareness Reset (Do This Everywhere) appeared first on Mind4Survival.

How to Stay Safe in a Dangerous World (Self-Defense & Situational Awareness Tips) | Philip Glikman

FrumFWD

Play Episode Listen Later Dec 12, 2025 32:05

On this episode, we break down the survival mindset and practical skills needed to stay ready — mentally and physically — in a dangerous world. You'll get real talk, actionable strategies, and no-nonsense truth about what it takes to be “hard to kill.”

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Situational Awareness: Episode 93

Play Episode Listen Later Dec 12, 2025 17:18

This week on Situational Awareness, The Chaos Crew discuss the events of Subterranean Slobberknocker.This episode contains profanity and crude humor.Follow us on X(Twitter) @diceypodFollow us on Instagram https://www.instagram.com/diceysituationspod/We also have a subreddit https://www.reddit.com/r/Dicey_Situations/Produced and Edited by Chris Romagna, Ryan Stemmler & Mark DePippoMusic by Eric PowerContact us diceysituationspod@gmail.com