Podcasts about Best Buy

Recorded at the EMARKETER Creator Trends 2026 Virtual Summit, this panel explores how creator video is opening new territory for brands on CTV.  EMARKETER Analyst, Emmy Liederman along with Nicole Marcus, Manager of Influencer Strategy at Dick's Sporting Goods and Allison O'Keefe, Senior Manager, Influencer and Creator Marketing at Best Buy, discuss how to shape programming cadence, package content for bigger screens, measure ROI, ensure brand safety and suitability, and build partnerships that make the most of this expanding format. Listen everywhere you find podcasts and watch on YouTube and Spotify.   Subscribe to EMARKETER's newsletters. Go to https://www.emarketer.com/newsletters   Follow us on Instagram at: https://www.instagram.com/emarketer/   For sponsorship opportunities, contact us: advertising@emarketer.com   For more information, visit: https://www.emarketer.com/advertise/   Have questions or just want to say hi? Drop us a line at podcast@emarketer.com    For a transcript of this episode, click here: https://www.emarketer.com/content/podcast-new-creator-video-play-moving-shorts-ctv-behind-numbers-special-edition   © 2026 EMARKETER

In this episode I go through all of BUY options heading into R2 of NRL Fantasy! So many options to choose from with only 2 trades available!!JBFA Public Overall League: MTPFLCANJoin an amazing community of legends who love NRL Fantasy!1st and 2nd overall came from this group, a mighty feat that I am supremely proud of, I am confident we as a group can achieve this feat again next year!I would love to see you as part of the 2026 JBFA community and get to know you :)$99 Legends Package includes:$5000 in Cash and Prizes (multiple fun competitions to try and win)3 x in person meet ups1 on 1 support and quickly, helping those who are busy!Access to the WhatsApp Group Chat (Jamie/Mitch's thoughts only, gameday chat, late mail, our late team changes etc)Access to the Private Facebook Group (2 x Live Q&A videos per week and 1x written buy/hold sell)For Payment and other group options, see below.This is the best way to support the channel and have an amazing season!Email jamie@wattlecomms.com.au once you've paid!Thankyou Payment DetailsJamie BrownBSB: 062692Account Number: 41028639Wise account – use the details above.Paypal – jamie@wattlecomms.com.auTo pay via debit/credit card:$169.99 VIP Stripe payment link: https://buy.stripe.com/6oU28q5UPfFf6JB88y8IU06$99 Legends Stripe payment link: https://buy.stripe.com/5kQ4gy2IDfFf5FxcoO8IU01$49 Facebook Group Only Stripe payment link: https://buy.stripe.com/fZu6oG0Av64Ffg7gF48IU02$30 JBFA Competitions Only Stripe payment link: https://buy.stripe.com/6oU00i82XgJjc3V1Ka8IU03For any other options or questions please email Jamie@wattlecomms.com.au or DM him on Instagram or Facebook.For information on what you receive in the private group here is the presentation I did on YouTube, link below:https://youtu.be/4WOXgC_ycG0#nrl #nrlfantasy #nrlfantasy2026 Hosted on Acast. See acast.com/privacy for more information.

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

A CMO Confidential Interview with Richard Sanderson, the Marketing, Sales and Communications Practice Leader at Spencer Stuart. Richard's topline - Shorter Tenures, Brighter Futures - with tenure stable at 4.1 years, nearly 2/3 of CMO's moving for similar or better positions, an increase in promotions from within, and marketers under pressure to produce AI results. Key topics include: the challenge of developing a broad skill set in a market focused on specialization; why 2026 is the "show me the money year for AI;" and how marketers and search firms are adopting when there's "no obvious playbook." Tune in to hear why you should be prepared to explain how you use AI in your personal life. What does the data actually say about CMO tenure, AI's impact on marketing teams, and whether your job is safe? Richard Sanderson, who leads the Marketing, Communications & Sales practice at Spencer Stuart, returns for his fifth appearance on CMO Confidential to break down two major studies: Spencer Stuart's 25-year CMO tenure survey and a new proprietary AI impact study of 100 CMOs.The data may surprise you — and some of it should concern you.---*This episode is brought to you by @ScrunchAI ---

In less than five years, launching a third-party marketplace has gone from a questionable move to a strategic imperative for many major retailers. Recorded live at NRF 2026, this episode of Retail Remix digs into that shift with Scott Eckert, CEO of the Americas at marketplace operator Mirakl.Scott explains why retailers are embracing curated marketplaces as an offensive growth strategy — no longer just as a defensive reaction to Amazon — and how brands like Ulta Beauty, Best Buy and Lowe's are expanding assortment without diluting brand identity.The conversation also dives into how AI answer engines are reshaping product discovery, and why clean, machine-readable catalog data may soon matter more than traditional SEO. Plus, Scott shares Mirakl's growing role in retail media and the company's vision of becoming an orchestration layer across emerging AI-driven commerce channels.Key TakeawaysHow the proving power of Amazon and, perhaps more importantly, Walmart has completely shifted retailers' attitude toward online marketplaces;Why retail media and marketplace strategies increasingly go hand in hand;The important role marketplaces will play in the world of AI commerce, when done right;Why product data must be optimized differently for different AI platforms like OpenAI, Google, and Anthropic; andThe essential quality of a truly disruptive product or service. Related LinksLearn how Mirakl powers enterprise marketplaces and retail mediaRelated reading: Mirakl CEO: Marketplaces are ‘Arming the Rebellion' of Traditional Retail Against Big TechRelated reading:Best Buy's New Third-Party Marketplace is Now LiveExplore more NRF26 coverage and retail insights from Retail TouchPointsSubscribe so you don't miss more episodes of Retail Remix from the show floor of NRF26

In this episode I go through the results from r1 of nrl supercoach and then talk through the options for r2 and who you can sell + the best captains!#nrl #nrlsupercoach #nrlsupercoach2026 Hosted on Acast. See acast.com/privacy for more information.

Jake Ricca, Christophe Jean, and Jimmy Moynihan They talk about Michael's time in Austin drinking with a Venezuelan family, stealing from Best Buy and keistering zyns.Thanks to Jake, Christophe, and Jimmy for all returning to the show and especially to Jake for lending his studio. Check all these guys out live in Austin, Texas and click their links for more.Jimmy is on Instagram @jimmy.moynihan and has a podcast with David Jolly and Ike Rafferty called I Know You Fuckin Lying. Christophe Jean is on Instagram @chrisjeanofficial and hosts the Rough Week Show podcast. Jake Ricca is on Instagram @jakericca and has a podcast with fellow Florida comic and former guest, Joe Censabella, called Cup of Jokes.As always, find Michael Good on Instagram @michaelgoodcomedy and on Twitter @agoodmichael. Check out the show on YouTube and follow the official Instagram page @morninggoodpodcast.

In this episode Nikki reviews R1 of NRL Fantasy, goes through the lay of the land and how he will attack r2 helping you along the way!JBFA Public Overall League: MTPFLCANJoin an amazing community of legends who love NRL Fantasy!1st and 2nd overall came from this group, a mighty feat that I am supremely proud of, I am confident we as a group can achieve this feat again next year!I would love to see you as part of the 2026 JBFA community and get to know you :)$99 Legends Package includes:$5000 in Cash and Prizes (multiple fun competitions to try and win)3 x in person meet ups1 on 1 support and quickly, helping those who are busy!Access to the WhatsApp Group Chat (Jamie/Mitch's thoughts only, gameday chat, late mail, our late team changes etc)Access to the Private Facebook Group (2 x Live Q&A videos per week and 1x written buy/hold sell)For Payment and other group options, see below.This is the best way to support the channel and have an amazing season!Email jamie@wattlecomms.com.au once you've paid!Thankyou Payment DetailsJamie BrownBSB: 062692Account Number: 41028639Wise account – use the details above.Paypal – jamie@wattlecomms.com.auTo pay via debit/credit card:$169.99 VIP Stripe payment link: https://buy.stripe.com/6oU28q5UPfFf6JB88y8IU06$99 Legends Stripe payment link: https://buy.stripe.com/5kQ4gy2IDfFf5FxcoO8IU01$49 Facebook Group Only Stripe payment link: https://buy.stripe.com/fZu6oG0Av64Ffg7gF48IU02$30 JBFA Competitions Only Stripe payment link: https://buy.stripe.com/6oU00i82XgJjc3V1Ka8IU03For any other options or questions please email Jamie@wattlecomms.com.au or DM him on Instagram or Facebook.For information on what you receive in the private group here is the presentation I did on YouTube, link below:https://youtu.be/4WOXgC_ycG0#nrl #nrlfantasy #nrlfantasy2026 Hosted on Acast. See acast.com/privacy for more information.

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Retail crime in Canada has reached a critical point. In this episode of The Voice of Retail podcast, host Michael LeBlanc welcomes back Rui Rodrigues, a veteran loss prevention leader and advisor working with the Retail Council of Canada, to unpack the rapidly escalating challenges facing retailers across the country. Rodrigues brings more than 30 years of experience in retail security and loss prevention, having worked with major retailers including Staples, Best Buy, Holt Renfrew and Hudson's Bay before launching his consulting practice. Today he works with retailers across Canada helping them address organized retail crime, risk management, and store safety while also collaborating closely with law enforcement and government partners. The conversation begins with a big picture look at how retail crime has evolved since the early days of the pandemic. Rodrigues explains that theft is not new, but the scale, organization, and violence associated with retail crime has increased significantly. Opportunistic shoplifting remains common, but retailers are increasingly dealing with organized criminal networks that exploit weak legal consequences and sophisticated resale channels. One major driver has been the growth of online marketplaces and social media resale channels, which allow stolen goods to be redistributed quickly and anonymously. Criminal enterprises can now move merchandise without the traditional risk of transporting large volumes across borders. Even more concerning is the growing level of violence and weaponization in retail theft incidents, with security teams reporting machetes, firearms, and bear spray being used to intimidate employees and prevent intervention. Retailers have responded by shifting away from physical apprehension policies in many cases, prioritizing employee safety over recovering merchandise. But Rodrigues also shares reasons for optimism. Over the past three years, the Retail Council of Canada has built a national retail crime task force, bringing together more than 30 police services along with retailers and prosecutors to coordinate intelligence and enforcement actions. Initiatives such as Project Retail Blitz focus targeted operations on repeat offenders and organized retail crime groups. The discussion also explores the growing political recognition of the issue. Retail leaders have recently met with federal and provincial governments to push for stronger legislation, including reforms aimed at organized retail theft and repeat offenders. According to Rodrigues, the goal is not only stronger laws but consistent enforcement and a structural approach to retail crime across police and prosecution services. The episode concludes with a preview of the upcoming Retail Secure Conference, where industry leaders, law enforcement, and policymakers will gather to share best practices and strategies for tackling retail crime and improving community safety. Michael LeBlanc is the president and founder of M.E. LeBlanc & Company Inc, a senior retail advisor, keynote speaker and now, media entrepreneur. He has been on the front lines of retail industry change for his entire career. Michael has delivered keynotes, hosted fire-side discussions and participated worldwide in thought leadership panels, most recently on the main stage in Toronto at Retail Council of Canada's Retail Marketing conference with leaders from Walmart & Google. He brings 25+ years of brand/retail/marketing & eCommerce leadership experience with Levi's, Black & Decker, Hudson's Bay, CanWest Media, Pandora Jewellery, The Shopping Channel and Retail Council of Canada to his advisory, speaking and media practice.Michael produces and hosts a network of leading retail trade podcasts, including the award-winning No.1 independent retail industry podcast in America, Remarkable Retail with his partner, Dallas-based best-selling author Steve Dennis; Canada's top retail industry podcast The Voice of Retail and Canada's top food industry and one of the top Canadian-produced management independent podcasts in the country, The Food Professor with Dr. Sylvain Charlebois from Dalhousie University in Halifax.Rethink Retail has recognized Michael as one of the top global retail experts for the fifth year in a row, the National Retail Federation has designated Michael as on their Top Retail Voices for 2025, Thinkers 360 has named him on of the Top 50 global thought leaders in retail, RTIH has named him a top 100 global though leader in retail technology and Coresight Research has named Michael a Retail AI Influencer. If you are a BBQ fan, you can tune into Michael's cooking show, Last Request BBQ, on YouTube, Instagram, X and yes, TikTok.Michael is available for keynote presentations helping retailers, brands and retail industry insiders explaining the current state and future of the retail industry in North America and around the world.

AGENDA:  04:13 Anthropic vs The Pentagon: Who Wins 13:54 Was Sam Altman Wrong to Take the Deal  24:28 OpenAI's $110BN Mega Round: The Breakdown 28:22 Who Has a Bigger Valuation Premium: Sam Altman or Elon Musk 34:38 Why We Got the SaaS Apocalypse Wrong? 43:24 Why Salesforce Could be the Best Buy in Public Markets 47:46 Block Lays Off 40% of Team: AI or Overhiring 01:00:16 Cursor Hits $2BN in ARR… so not Dead? 01:18:15 How to Pick Winners in AI?      

In this episode, Scott Becker breaks down five forces shaping the market including a rebound on easing Iran war fears, South Korea's sharp selloff, unexpected gains at Best Buy and Target, and more.

In this episode, Scott Becker breaks down five forces shaping the market including a rebound on easing Iran war fears, South Korea's sharp selloff, unexpected gains at Best Buy and Target, and more.

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Oil shocks, gold surges and a familiar tech giant's stumble - markets are suddenly on edge. In this episode of Market View, hosted by Michelle Martin with Ryan Huang, we unpack the forces shaking global markets - from Sea Ltd’s earnings surprise and share price plunge to Singapore’s growing ambitions as a physical gold hub. Gold prices are surging past historic levels as wealthy investors pile into safe havens and policymakers position Singapore as a regional bullion trading center. Meanwhile, a widening Middle East conflict and the Strait of Hormuz blockade threaten global energy flows, pushing Brent crude above $81 and disrupting LNG supplies. We also run through earnings movers including Target, Best Buy, Swiss sneaker maker On, DFI Retail Group and Wilmar International. Plus: the next computing revolution may not be in your phone - tech giants like Qualcomm, Meta, Google and Apple are racing to build AI-powered wearables that blend seamlessly into everyday life. Companies mentioned: Sea Ltd., Target, Best Buy, On Holding, DFI Retail Group, Wilmar International, ST Engineering, Keppel, CapitaLand Integrated Commercial Trust, Qualcomm, Meta, Google, Samsung, Apple, OpenAI.See omnystudio.com/listener for privacy information.

In this episode I go through the final decisions we need to make between guys at similar prices and talk through who the best buys are heading into the rest of r1 for NRL Fantasy!JBFA Public Overall League: MTPFLCANJoin an amazing community of legends who love NRL Fantasy!1st and 2nd overall came from this group, a mighty feat that I am supremely proud of, I am confident we as a group can achieve this feat again next year!I would love to see you as part of the 2026 JBFA community and get to know you :)$99 Legends Package includes:$5000 in Cash and Prizes (multiple fun competitions to try and win)3 x in person meet ups1 on 1 support and quickly, helping those who are busy!Access to the WhatsApp Group Chat (Jamie/Mitch's thoughts only, gameday chat, late mail, our late team changes etc)Access to the Private Facebook Group (2 x Live Q&A videos per week and 1x written buy/hold sell)For Payment and other group options, see below.This is the best way to support the channel and have an amazing season!Email jamie@wattlecomms.com.au once you've paid!Thankyou Payment DetailsJamie BrownBSB: 062692Account Number: 41028639Wise account – use the details above.Paypal – jamie@wattlecomms.com.auTo pay via debit/credit card:$169.99 VIP Stripe payment link: https://buy.stripe.com/6oU28q5UPfFf6JB88y8IU06$99 Legends Stripe payment link: https://buy.stripe.com/5kQ4gy2IDfFf5FxcoO8IU01$49 Facebook Group Only Stripe payment link: https://buy.stripe.com/fZu6oG0Av64Ffg7gF48IU02$30 JBFA Competitions Only Stripe payment link: https://buy.stripe.com/6oU00i82XgJjc3V1Ka8IU03For any other options or questions please email Jamie@wattlecomms.com.au or DM him on Instagram or Facebook.For information on what you receive in the private group here is the presentation I did on YouTube, link below:https://youtu.be/4WOXgC_ycG0#nrl #nrlfantasy #nrlfantasy2026 Hosted on Acast. See acast.com/privacy for more information.

Herb “The Consumerman” Weisbaum from Checkbook.org joins Nick for a packed For The People installment. They talk about the steady stream of data breach notices that keep landing in inboxes, share a few real-world debt success stories, and get surprisingly detailed about how to do laundry the right way without wasting time or money. Herb is also marking 45 years in consumer reporting, so they look back at how scams have evolved over four decades and why some tricks never really go away. Car Guy Tom Appel from Consumer Guide Automotive jumps in next to talk about what he's been driving lately and what's happening with Tesla and its CyberCabs. They also dig into how the recent Supreme Court of the United States tariff ruling is affecting automakers, along with thoughts on the Alfa Romeo Stelvio Intensa, the Toyota Highlander, and a fun comparison of Best Buys from 1970 and today. The episode wraps with fresh rounds of StarSpotter and MysteryShow, keeping the mix of useful advice, car talk, and pure trivia fun right where it belongs. [Ep 434]

Carl Quintanilla, Jim Cramer and David Faber discussed what investors should make of stock markets tumbling worldwide — and oil prices extending Monday's big rally -- on fears of a prolonged Middle East conflict, with the Iran war now in its fourth day. Private credit concerns also in the mix: Shares of alternative asset managers under pressure after Blackstone said its flagship private credit fund was hit by a surge in redemptions. Also in focus: More woes for software as MongoDB plunges, what JPMorgan Chase CEO Jamie Dimon told CNBC about the Iran conflict and inflation, travel stocks extend losses, the deal that sent one particular stock soaring by 60%, Best Buy and Target rise on earnings.   Squawk on the Street Disclaimer Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

"Your Customers Aren't as Loyal as You Think They Are - The Fragile Nature of Loyalty"A CMO Confidential Interview with Nicolas Chidiac, Chief Strategy Officer of Razorfish, formerly Chief Strategy Officer of Rokkan and EVP/Head of Planning at Leo Burnett. Nic discusses why brands often overestimate consumer loyalty, why repeat purchase trends can be misleading, and the dramatic increase in speed and velocity of competition. Key discussion topics include: why it has never been easier to try a new product; how influencers have "democratized celebrity endorsement;" why marketers should focus on "removing relative friction;" and how to measure your loyalty deficit. Tune in to hear stories about White Lotus, Chewy, Dubai Chocolate and Pop Tarts. Your customers aren't as loyal as you think. Razorfish Chief Strategy Officer Nic Chidiac joins Mike Linton to unpack groundbreaking research revealing the fragile nature of brand loyalty — and why most marketers are dangerously overconfident about it.65% of marketers believe repeat buyers stay out of emotional connection to their brand. Only 15-17% of consumers agree. That gap is costing companies billions. Nic breaks down the loyalty deficit, why switching has never been easier, and what confident marketers should actually be measuring.Whether you're defending a market-leading brand or building a challenger, this episode will change how you think about loyalty programs, customer retention, and the metrics you're relying on.

Is wrestling finally back… because of influencers?In this episode of BJJ Balance, we break down the wild RAF fight drama, the influence of personalities like Muggsy and Giorgio, and whether traditional wrestling heads are missing the bigger picture.We also dive into:• UFC BJJ exclusive contracts — smart business or bad for the sport?• Why influencers might be the key to growing wrestling & jiu-jitsu• Jordan Burroughs vs influencer superfights• Why grappling NEEDS personalities to survive• The problem with locking athletes into one organization• Should BJJ have a World Cup format instead of chasing the Olympics?• Gi vs No-Gi and why takedowns make events better• The business mistakes holding jiu-jitsu back• Plus: Matt's $2,000 Best Buy “accident”If you care about the future of Brazilian Jiu-Jitsu, wrestling, UFC BJJ, RAF, CJI, PGF, and the influencer era of combat sports — this episode is for you.Combat sports are changing.Just like Jake Paul helped revive boxing, influencer-driven matchups might be what wrestling and jiu-jitsu need to grow beyond niche audiences.Traditionalists might hate it.But eyeballs equal opportunity.And without eyeballs, the sport dies.If you train BJJ, follow wrestling, watch UFC, or care about the business side of grappling:

En el episodio de hoy de VG Daily, Valentina Orduz y Andre Dos Santos analizan una jornada que el mercado quiso leer como normal y que terminó siendo todo lo contrario. El lunes arrancó con caídas pronunciadas, rebotó con fuerza y cerró casi plano, ejecutando el guión clásico de los conflictos geopolíticos. Pero lo que ocurrió después del cierre cambió la narrativa por completo: ataques a infraestructura energética en Qatar, embajadas evacuadas, drones sobre Riad y una declaración de Trump que dejó la puerta abierta a una escalada mayor.Valentina y Andre desglosan los movimientos del día con datos y contexto, qué sectores ganaron, cuáles se desplomaron y por qué el Estrecho de Ormuz es la variable que convierte este conflicto en algo estructuralmente diferente a los 40 eventos geopolíticos que el mercado ha procesado en los últimos 85 años. También analizan qué implica para la Fed un escenario de petróleo en camino a niveles no vistos en años. En el frente corporativo, Target y Best Buy reportaron resultados que merecen atención: dos patrones distintos de un mismo consumidor bajo presión, con señales importantes para entender hacia dónde va el gasto discrecional en 2026.

US President Trump said the US continues to carry out large-scale combat operations in Iran, while he added that Iran could have missiles capable of reaching America soon and had refused to cease its pursuit of nuclear weapons.The US is said to be preparing for a 'pickup' in attacks in Iran during the next 24 hours, according to a senior unnamed official cited by CNN.US and China trade negotiators are to meet mid-March prior to the Trump-Xi summit, with Treasury Secretary Bessent and Chinese Vice Premier He Lifeng expected to convene in Paris at the end of next week to discuss bilateral matters.APAC stocks were pressured with risk appetite weighed down by geopolitics as the Iranian conflict entered a fourth day, and with US President Trump warning of larger strikes to come.European equity futures indicate a negative cash market open with Euro Stoxx 50 futures down 1.0% after the cash market closed with losses of 2.5% on Monday.Looking highlights include EZ Flash HICP (Feb), US RCM/TIPP (Mar), New Zealand Export/Import Prices, Australian Composite PMI Final (Feb). Speakers include Fed's Williams & Kashkari, UK Spring Statement. Supply from the Netherlands & Germany, Earnings from CrowdStrike, Best Buy, Target, AutoZone, Bayer, Adidas, & Continental.Read the full report covering Equities, Forex, Fixed Income, Commodites and more on Newsquawk

US President Trump said the US continues to carry out large-scale combat operations in Iran, while he added that Iran could have missiles capable of reaching America soon and had refused to cease its pursuit of nuclear weapons.US and China trade negotiators are to meet mid-March prior to the Trump-Xi summit, with Treasury Secretary Bessent and Chinese Vice Premier He Lifeng expected to convene in Paris at the end of next week to discuss bilateral matters.European bourses remain under pressure, Utilities hit further as QatarEnergy halts production; US equity futures reverse Monday's gains.DXY continues its war-related ascent, CHF underperforms, GBP lags into the Spring Statement.Fixed income falters as energy soars, causing heightened inflation risks.Crude prices continue to climb as the Iranian war enters day four; Precious metals slip. Looking ahead, highlights include US RCM/TIPP (Mar), New Zealand Export/Import Prices, Australian Composite PMI Final (Feb). Speakers include Fed's Williams & Kashkari, UK Spring Statement. Earnings from CrowdStrike, Best Buy, Target, AutoZone, Bayer, Adidas, & Continental.Read the full report covering Equities, Forex, Fixed Income, Commodites and more on Newsquawk

Target, Best Buy, Palantir, Crowdstrike...bajo la lupa de Julián Coca, gestor de fondo Alinea Global.

In this episode I run through all the team lists for r1b and how they affect your NRL Fantasy teams! A few surprises popped up and I have made a couple of changes to my fantasy side! What have you changed?JBFA Public Overall League: MTPFLCANJoin an amazing community of legends who love NRL Fantasy!1st and 2nd overall came from this group, a mighty feat that I am supremely proud of, I am confident we as a group can achieve this feat again next year!I would love to see you as part of the 2026 JBFA community and get to know you :)$99 Legends Package includes:$5000 in Cash and Prizes (multiple fun competitions to try and win)3 x in person meet ups1 on 1 support and quickly, helping those who are busy!Access to the WhatsApp Group Chat (Jamie/Mitch's thoughts only, gameday chat, late mail, our late team changes etc)Access to the Private Facebook Group (2 x Live Q&A videos per week and 1x written buy/hold sell)For Payment and other group options, see below.This is the best way to support the channel and have an amazing season!Email jamie@wattlecomms.com.au once you've paid!Thankyou Payment DetailsJamie BrownBSB: 062692Account Number: 41028639Wise account – use the details above.Paypal – jamie@wattlecomms.com.auTo pay via debit/credit card:$169.99 VIP Stripe payment link: https://buy.stripe.com/6oU28q5UPfFf6JB88y8IU06$99 Legends Stripe payment link: https://buy.stripe.com/5kQ4gy2IDfFf5FxcoO8IU01$49 Facebook Group Only Stripe payment link: https://buy.stripe.com/fZu6oG0Av64Ffg7gF48IU02$30 JBFA Competitions Only Stripe payment link: https://buy.stripe.com/6oU00i82XgJjc3V1Ka8IU03For any other options or questions please email Jamie@wattlecomms.com.au or DM him on Instagram or Facebook.For information on what you receive in the private group here is the presentation I did on YouTube, link below:https://youtu.be/4WOXgC_ycG0#nrl #nrlfantasy #nrlfantasy2026 Hosted on Acast. See acast.com/privacy for more information.

Despite a weekend filled with geopolitical turmoil and the outbreak of open war in the Middle East, the markets opened Monday with a surprising amount of resilience. Join Mark Longo, "Uncle" Mike Tosaw, and Andrew "The Rock Lobster" Giovinazzi as they break down the "weekend risk" playbook and why the "fade the vol spike" strategy is winning the day. In this episode, the panel discusses: The Trading Block: A look at the S&P, NASDAQ, and VIX. Why did the market go from red to green so quickly? Plus, a deep dive into the massive call activity in VIX and SPY. The Odd Block: Unusual activity in Nokia (NOK) and the "luxury pawn shop" The RealReal (REAL). Is someone betting on a major tech resurgence? Strategy Block: Uncle Mike breaks down the nuances of Delta weighting with Covered Calls. Learn how to capture premium without capping all your upside. Around the Block: Predictions for the week ahead, including earnings to watch: Best Buy, Target, Costco, and the volatile ASKS Space Mobile. Plus: A special "80s Trivia Challenge" featuring a heated debate over the greatest tag team of all time and breaking WWE Hall of Fame news!

Is the financial world on the brink of a 2008-style collapse, or is this just the "slow burn" of a new era? In this high-stakes episode, David Underwood and Brandon Beaver break down the explosive news of U.S. and Israeli strikes on Iran and exactly how you should position your portfolio to profit from the chaos.From the sudden spike in Brent Crude to the shocking rise of the Japanese Yen as a safe haven, we give you the "Buy" and "Short" plays you need for the week ahead. But the real danger might be closer to home—Brandon reveals a terrifying "synthetic liquidity" crisis brewing in the Private Equity and Software sectors that could threaten your pension fund.In this episode, we cover:The Iran Strike Aftermath: Why oil could hit $100/barrel and why David is planning a massive short play once it does.Shipping & War Surcharges: How new fees in the Gulf and Suez are about to hit your wallet and corporate earnings.The "PIK" Debt Trap: Why you must avoid software companies with high "Payment-in-Kind" interest before they implode.The Berkshire Blueprint: A look at the mind-blowing dividends from Buffett's top holdings (Apple, Coca-Cola, and more).Earnings Watch: Vital outlooks for Target, Best Buy, and CrowdStrike in an AI-disrupted market.Don't let market volatility catch you off guard. Tune in to learn how to turn global disruption into an uplifting return.

Despite a weekend filled with geopolitical turmoil and the outbreak of open war in the Middle East, the markets opened Monday with a surprising amount of resilience. Join Mark Longo, "Uncle" Mike Tosaw, and Andrew "The Rock Lobster" Giovinazzi as they break down the "weekend risk" playbook and why the "fade the vol spike" strategy is winning the day. In this episode, the panel discusses: The Trading Block: A look at the S&P, NASDAQ, and VIX. Why did the market go from red to green so quickly? Plus, a deep dive into the massive call activity in VIX and SPY. The Odd Block: Unusual activity in Nokia (NOK) and the "luxury pawn shop" The RealReal (REAL). Is someone betting on a major tech resurgence? Strategy Block: Uncle Mike breaks down the nuances of Delta weighting with Covered Calls. Learn how to capture premium without capping all your upside. Around the Block: Predictions for the week ahead, including earnings to watch: Best Buy, Target, Costco, and the volatile ASKS Space Mobile. Plus: A special "80s Trivia Challenge" featuring a heated debate over the greatest tag team of all time and breaking WWE Hall of Fame news!

In this episode Mitch gives his take on the Vegas games to start r1 of the nrl fantasy season, his decisions heading into r1b and the buys, holds and sells ready for r2 early!JBFA Public Overall League: MTPFLCANJoin an amazing community of legends who love NRL Fantasy!1st and 2nd overall came from this group, a mighty feat that I am supremely proud of, I am confident we as a group can achieve this feat again next year!I would love to see you as part of the 2026 JBFA community and get to know you :)$99 Legends Package includes:$5000 in Cash and Prizes (multiple fun competitions to try and win)3 x in person meet ups1 on 1 support and quickly, helping those who are busy!Access to the WhatsApp Group Chat (Jamie/Mitch's thoughts only, gameday chat, late mail, our late team changes etc)Access to the Private Facebook Group (2 x Live Q&A videos per week and 1x written buy/hold sell)For Payment and other group options, see below.This is the best way to support the channel and have an amazing season!Email jamie@wattlecomms.com.au once you've paid!Thankyou Payment DetailsJamie BrownBSB: 062692Account Number: 41028639Wise account – use the details above.Paypal – jamie@wattlecomms.com.auTo pay via debit/credit card:$199 VIP Stripe payment link: https://buy.stripe.com/cNi00i4QL8cN8RJ1Ka8IU00$99 Legends Stripe payment link: https://buy.stripe.com/5kQ4gy2IDfFf5FxcoO8IU01$49 Facebook Group Only Stripe payment link: https://buy.stripe.com/fZu6oG0Av64Ffg7gF48IU02$30 JBFA Competitions Only Stripe payment link: https://buy.stripe.com/6oU00i82XgJjc3V1Ka8IU03For any other options or questions please email Jamie@wattlecomms.com.au or DM him on Instagram or Facebook.For information on what you receive in the private group here is the presentation I did on YouTube, link below:https://youtu.be/4WOXgC_ycG0#nrl #nrlfantasy #nrlfantasy2026 Hosted on Acast. See acast.com/privacy for more information.

Electronics Stores: PC Richard, The Wiz, Circuit City, Best Buy, Crazy Eddie and . . . Tower Records (which did not belong on the list). Tom Kelly and comedian Steve Burger discuss electronic stores past and present. What went right? What went wrong? And how did we miss Radio Shack? - Plus: Tom Kelly will be swimming in a shark tank at the Long Island aquarium to promote People's ARC a non profit that helps children and adults with special needs. - Tickets For The Shark Tank Showdown https://www.peoplesarc.org/event/shark-tank-showdown-2/ 

Best Buy spending continued to be strong with the annual business gold cap reset and good sales on iPads and Apple watches. I also have been making good progress on the Pokémon front with Walmart. The travel for this month included a visit to Mexico City for the first time and another ski trip in Europe, both great trips!For more information on the private Slack group, head over to churninglife.com.

The chill is still in the air as winter prepares to give way to spring. That time of year, depending on where in the world you happen to be, nature is beginning to remind us about the magic of renewal in small but familiar ways. We are reminded that the more things change, renewal is possible. Today's Icon Registry episode celebrates our newest inductee, and those who have listened to the show for a while know her, and even though she left this world a few years ago, her spirit endures. Designer Resources Pacific Sales Kitchen and Home. Where excellence meets expertise. TimberTech – Real wood beauty without the upkeep Christine Anderson was a SoCal based publicist with a dedication to her clients, friends and colleagues rarely seen anymore. I had the opportunity to work with Christine on many occasions and she hosted the show more than any other guest show. You might even recall her hosting the ICON Registry episode featuring Woodson & Rummerfield.  This is Christine's well deserved induction into the registry. What you are about to hear is Christine's conversation with Dora Epstein Jones Dr. Dora Epstein Jones is a prominent architectural theorist, educator, and administrator known for her rigorous interrogation of the discipline’s boundaries. She is currently a Professor of Practice at the University of Texas at Austin School of Architecture, having joined the faculty in Fall 2023. The Convo By Design Icon Registry is presented by Pacific Sales Kitchen & Home, a Best Buy company and avid supporters of the design community. They help designers become the very best version of their professional selves through advocacy, educational opportunities and professional support.  This wraps up another episode of the Convo By Design Icon Registry. A celebration and recognition of a true master in the art of design and the mastery of all that encompasses in the pursuit of making better the lives of those they serve. And, giving back along the way. Thank you Christine for your many years of friendship, partnership and collaboration, you are truly missed. Thanks for listening to Convo By Design. Thank you to my partner sponsors, Pacific Sales Kitchen and Home for presenting the Convo By Design Icon Registry and Convo By Design partner sponsors, Pacific Sales Kitchen & Home,TimberTech & Shelter Republic. And thank you for taking the time to listen. I couldn't do this without you, wouldn't want to. I hope this show helps you stay motivated, inspired and focused so you can rise above the chaos. -CXD

On the podcast, I talk with Michael and Mark about the boom in hardware-enabled subscriptions, why nothing worked until they stopped optimizing and started building a better product, and how they doubled their price to $79 even though the data said they could charge more.Top Takeaways:

A CMO Confidential Interview with Tom Goodwin, author, speaker, and former innovation head at Publicis, Zenith, and Havas. Tom discusses why he believes much of the thinking around AI is wrong, how social media is becoming even more shallow, and why agentic commerce will be a challenge. Key discussion topics include the difference between selling more and being able to charge more; how consumers often enjoy the shopping experience in a way that resists algorithmic understanding; and why AI adoption will follow the adoption path of electricity. Tune in to hear why 90% of people in advertising don't know how it really works and how to think of your job as making your brand exceptional. Marketing leaders are getting pulled in two directions at once: “AI will change everything” and “AI is overhyped.” In this episode of *CMO Confidential*, Mike Linton (former CMO of Best Buy, eBay, Farmers Insurance, and Ancestry) sits down with Tom Goodwin to sort through the contradictions—what's real, what's performative, and what executives should do next.Tom has spent his career studying innovation and change, and he brings a clear-eyed view on how AI is reshaping marketing work: where it genuinely compresses time and effort, where it increases noise and sameness, and how organizations can avoid chasing tools instead of outcomes. The conversation also touches on the hidden second-order effects—how incentives shift, how decision-making changes, and why “doing more” isn't the same as “doing better.”If you're a CMO, CEO, or growth leader trying to separate signal from hype, this is a practical, grounded listen.Subscribe for weekly episodes of CMO Confidential.cmo confidential, mike linton, tom goodwin, ai marketing, marketing leadership, chief marketing officer, marketing strategy, generative ai, artificial intelligence, martech, brand strategy, performance marketing, marketing effectiveness, measurement, incrementality, go to market, innovation, digital transformation, marketing operations, agency management, marketing trends 2026, executive leadership, growth strategy, content strategy, customer experience, personalization, automation, creative strategy00:00 Intro: CMO Confidential + today's topic with Tom Goodwin01:20 Why AI creates contradictory truths in marketing05:10 The biggest misconception leaders have about “AI transformation”09:30 What AI actually compresses (and what it doesn't)14:25 When “more content” makes marketing worse18:40 Differentiation in an AI-saturated landscape23:05 What changes inside teams: roles, incentives, accountability28:10 Measurement, trust, and the executive narrative problem33:20 Where CMOs should place bets vs. run experiments38:15 Practical questions to ask vendors, agencies, and internal teams43:10 Closing reflections + what to do nextSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Send a textParenting in a digital world can feel like steering a canoe in crosswinds, especially when your kid starts sounding like a gaming livestream.This week on Super Familiar with the Wilsons, we talk screen time boundaries, YouTube rabbit holes, media literacy for kids, and finding the middle ground between isolation and algorithm overload. We share what happened when we swapped chaos for curation, added library cards and backyard soccer, and aimed for fewer tabs, more pages.Plus: awkward hobbies, doctoral dreams, camo flirting at Best Buy, existential chicken jokes, and why baby goats might be the true path to sanity.Less scroll. More soul.Super Familiar with The Wilsons Find us on instagram at instagram.com/superfamiliarwiththewilsonsand on YoutubeContact us! familiarwilsons@gmail.com A Familiar Wilsons Production

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TCW Podcast Episode 252 - A Guitar Hero   The rise and fall of the Guitar Hero franchise and the rhythm game craze of the mid to late 2000s. Red Octane got its start making Dance Dance Revolution pads, but a partnership with Harmonix Music Systems, a studio building technology that let people interact with music without learning an instrument, led to the creation of Guitar Hero. Major retailers refused to carry it until Best Buy set up in-store demo units that sent sales skyrocketing, and Red Octane could barely keep up with demand. The franchise's success drew corporate attention: Activision acquired Red Octane, MTV Networks acquired Harmonix, and a lingering dispute between Activision and Viacom over the Star Trek license split the partnership in two, giving Activision Guitar Hero and Harmonix Rock Band. Both landed blockbuster bands from Aerosmith to the Beatles, but an endless flood of sequels and add-ons saturated the market, and what once felt like a cultural phenomenon burned out almost as fast as it arrived.     TCW 167 - Activision and Kotick Part 1: https://podcast.theycreateworlds.com/e/activision-and-kotick-part-1/ TCW 168 - Activision and Kotick Part 2: https://podcast.theycreateworlds.com/e/activision-and-kotick-part-2/ TCW 169 - Activision and Kotick Part 3: https://podcast.theycreateworlds.com/e/activision-and-kotick-part-3/ Dance Dance Revolution (PSX): https://www.youtube.com/watch?v=K2IammLWeNE TCW 052 - The Many Faces of Konami: https://podcast.theycreateworlds.com/e/the-many-faces-of-konami/ Guitar Freaks: https://www.youtube.com/watch?v=3-gDC1VXqqM PaRappa The Rapper: https://www.youtube.com/watch?v=y3SI4Grases Tribe on Conan: https://www.youtube.com/watch?v=eLrA00pKRHo Bimini Run (Genesis): https://www.youtube.com/watch?v=-e1QdtG3YOE System Shock: https://www.youtube.com/watch?v=-e1QdtG3YOE Thief - The Dark Project: https://www.youtube.com/watch?v=zH_6ER0-voQ Simpsons - I can See the Music: https://www.youtube.com/watch?v=TyNtUpMeBTE Frequency (PS2): https://www.youtube.com/watch?v=6Z7n36dozeY Amplitude (PS2): https://www.youtube.com/watch?v=goH4ygJ48_c Karaoke Revolution - Drive - Incubus (PS2): https://www.youtube.com/watch?v=rJ-yIxE9-hg The NES Hotseat: https://www.youtube.com/watch?v=fvws5tOHsEE AntiGrav for EyeToy (PS2): https://www.youtube.com/watch?v=S9FheIXFrWc Guitar Hero 1 IGN: https://www.youtube.com/watch?v=bQW2MGFY-us Guitar Hero 1 (PS2): https://www.youtube.com/watch?v=slJA7xwDRWk Guitar Hero 2: https://www.youtube.com/watch?v=AQAUCBDU4Qg Guitar Hero 3: https://www.youtube.com/watch?v=elOxCIpg4rI Rock Band: https://www.youtube.com/watch?v=AavdHq3pemQ GH3 - DragonForce - Through the Fire and Flames: https://www.youtube.com/watch?v=WMkjmiVo6jA Rock Band - The Beatles: https://www.youtube.com/watch?v=5PGF3uAYCW0     New episodes are on the 1st and 15th of every month!   TCW Email: feedback@theycreateworlds.com  Twitter: @tcwpodcast Patreon: https://www.patreon.com/theycreateworlds Alex's Video Game History Blog: http://videogamehistorian.wordpress.comD Alex's book, published Dec 2019, is available at CRC Press and at major on-line retailers: http://bit.ly/TCWBOOK1     Intro Music: Josh Woodward - Airplane Mode -  Music - "Airplane Mode" by Josh Woodward. Free download: http://joshwoodward.com/song/AirplaneMode  Outro Music: RoleMusic - Bacterial Love: http://freemusicarchive.org/music/Rolemusic/Pop_Singles_Compilation_2014/01_rolemusic_-_bacterial_love    Copyright: Attribution: http://creativecommons.org/licenses/by/4.0/

Mekel Kasanova is back with a tech review of the Lenovo LOQ Tower 2680R10, a gaming pc that offers a fantastic balance between entry-level and enthusiast options. This prebuilt gaming pc delivers solid performance and modern hardware, making it an excellent choice for a budget gaming pc. It's truly a great option for anyone looking to upgrade their gaming setup without breaking the bank.Best Buy: https://bestbuycreators.7tiv.net/e1O96jAmazon: https://amzn.to/4qsqDwK#Lenovo #LenovoLOQ #PCGaming #TechReview

In this solo episode, the stories are about papers for undocumented residents in Spain, debt-free access at Yale, and paid internships for all at Dartmouth, and more!Here are this week's good vibes:Spain says papers for peopleYale expands debt-free accessOlympians get retirement-style supportDartmouth funds internships for allMinnesota CEOs demand de-escalationGood Vibes to Go: Check out Marcello Hernández's standup special American Boy on Netflix. It takes a while to get really funny but I ended up being utterly charmed. Good vibes indeed.Read the Stories.Subscribe to the 5 Things newsletter.Watch 5 Things Live on YouTube. Join thousands of readers by subscribing to the 5 Things newsletter. Enjoy some good vibes every Saturday morning. https://5thingsdei.com/

A grocery store has to take inventory to stay stocked with good needed every week for consumers.     A restaurant has to take inventory to make sure they have plenty of food to feed their customers.    Retail stores like Best Buy and Walmart have to stay stocked for their consumers.   Amazon has to keep its inventory levels up for the products they offer online.    They're built around systems, processes, and efficiencies.    Some require people and others do not.    When was the last time you took personal inventory in your life?    Who you're surrounded by?    The type of work you do....do you enjoy the work you do?    What things you're requiring?.....do you like really nice things or are you okay living a simpler life?    Where is the essence of your focus going right now?     Do you have good friends around you?    Let's unpack and explore all of this......   About the ReWire Podcast   The ReWire Podcast with Ryan Stewman – Dive into powerful insights as Ryan Stewman, the HardCore Closer, breaks down mental barriers and shares actionable steps to rewire your thoughts. Each episode is a fast-paced journey designed to reshape your mindset, align your actions, and guide you toward becoming the best version of yourself. Join in for a daily dose of real talk that empowers you to embrace change and unlock your full potential.    Learn how you can become a member of a powerful community consistently rewiring itself for success at ⁠⁠https://www.jointheapex.com/⁠⁠   Rise Above

Jill and Tom sift through an enormous amount of news this week, including the announced deaths of four car models, including two from Tesla. Other news items covered include a name for Ford's new electric small truck, BMW's new electric-car architecture, and the unexpected comeback of the minivan. Still in the first segment, Jill reviews the 2026 Mitsubishi Outlander small crossover. Listen in for her take. In the second segment the hosts welcome Brian Moody of Kelly Blue Book to the show. Brian shares his take on the new-car market in 2026, as well as KBB's Best Buy picks. In the third segment Jill is subjected to Tom's “How Red is It?” Quiz. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

On this week's Modern Retail Podcast, the staff discusses how the growing presence of Immigration and Customs Enforcement (ICE) in cities like Minneapolis is impacting retail. Senior reporter Gabriela Barkho and special projects editor Melissa Daniels are joined by Modern Retail executive editor Anna Hensel to discuss topics like executives' reactions, shoppers' protests and how brands are expressing solidarity with people on the ground.In this episode, the three discuss: How local and national retail brands with a Minneapolis presence are addressing their employees and customers.  Recent ICE killings of Renee Good and Alex Pretti pushed corporate CEOs from Target and Best Buy to finally respond.  What some brands are doing to express solidarity with immigrants and locals, including participating in strikes and donating sales proceeds to organizations.

Microsoft rushes an emergency fix for an actively exploited Office zero-day. A suspected cyberattack halts rail service in Spain. The FBI probes Signal chats in Minnesota. The UK moves to overhaul policing for the cyber age. Romania investigates a hitman-for-hire site. A UK court awards $4.1 million in a Saudi spyware case. Google agrees to a voice assistant settlement. CISA maps post-quantum crypto readiness. Prosecutors charge an Illinois man over a Snapchat hacking scheme targeting hundreds of women. Our guest today is Cynthia Kaiser, SVP of the Ransomware Research Center at Halcyon, sharing some insight into the AI and quantum threats to cybersecurity and the national cyber strategy. A Best Buy guy tries a creative alibi.  Remember to leave us a 5-star rating and review in your favorite podcast app. Miss an episode? Sign-up for our daily intelligence roundup, Daily Briefing, and you'll never miss a beat. And be sure to follow CyberWire Daily on LinkedIn. CyberWire Guest Our guest today is Cynthia Kaiser, SVP of the Ransomware Research Center at Halcyon, sharing some insight into the AI and quantum threats to cybersecurity and the national cyber strategy. Selected Reading Microsoft Issues Emergency Patch for Actively Exploited Office Zero-Day (Beyond Machines) Catalonia travel chaos: thousands stranded as suspected cyber attack disrupts rail network (The Olive Press)  FBI is investigating Minnesota Signal groups tracking ICE, Patel says (NBC News) UK plans sweeping overhaul of policing amid surge in online crimes (The Record) Romania probes two suspects over alleged hitman-for-hire website (The Record) Judge awards British critic of Saudis $4.1 million, finds the regime hacked his devices (The Record) Google to pay $68 million over allegations its voice assistant eavesdropped on users (CBS News) CISA releases technology readiness list for post-quantum cryptography (CSO Online) Illinois man charged with hacking Snapchat accounts to steal nude photos (Bleeping Computer) Savannah BSavannah Best Buy employee says 'hacker group' blackmailed him into theft ring scheme (WJCL 22) Share your feedback. What do you think about CyberWire Daily? Please take a few minutes to share your thoughts with us by completing our brief listener survey. Thank you for helping us continue to improve our show.   Want to hear your company in the show? N2K CyberWire helps you reach the industry's most influential leaders and operators, while building visibility, authority, and connectivity across the cybersecurity community. Learn more at sponsor.thecyberwire.com. The CyberWire is a production of N2K Networks, your source for strategic workforce intelligence. © N2K Networks, Inc. Learn more about your ad choices. Visit megaphone.fm/adchoices

This program explores the collision of tariffs, sustainability, design business acumen and shifting client expectations, offering a roadmap for navigating the volatility of the 2026 design landscape. Recorded live at Design Hardware in Los Angeles, I gathered a panel of industry leaders to dissect the economic and social forces shaping interior design as we head into 2026. Featuring Eva Hughes (Black House Beige), Shelly Sandoval (The Lauzon Collective), Rachel Grachowski (RHG Architecture), and Priya Vij (Hapny Home), the conversation confronts the “chaos” of the current market—from tariff-induced supply chain disruptions to the critical shortage of skilled labor. Designer Resources Pacific Sales Kitchen and Home. Where excellence meets expertise. TimberTech – Real wood beauty without the upkeep The discussion pivots from the technical challenges of “designing for disaster” and uninsurability to the creative opportunities found in circular economies and intentional sourcing. The panelists argue for a shift away from “fast fashion” interiors toward a “friendliness” of durability, prioritizing materials that pass the “grandparent test” of longevity. Ultimately, the episode emphasizes that in a volatile market, the most valuable currencies are transparency, deep vendor relationships, and educating clients on the true cost of craftsmanship. The “Friendliness” of Durability: A move toward “legacy” materials—like solid brass hardware and high-quality hardwood—that age gracefully and avoid the landfill, countering the disposable nature of current trends. Supply Chain as Design Driver: How tariffs and stock volatility are forcing firms to adopt “high-low” budgeting and pre-purchase models (buying and storing materials early) to protect projects from price surges. Designing for Disaster: The reality of rebuilding in fire-prone zones (like Altadena and the Palisades) is driving a demand for non-toxic, fire-resistant materials and a “circular economy” approach where building products can return to the earth safely. The Labor Crisis: A candid look at the “graying” of the trades; as master craftsmen retire without a new generation to replace them, the industry faces a loss of institutional knowledge and execution capability. Intentionality Over “Modern”: The panel discusses abandoning vague buzzwords like “wellness” and “modern” in favor of deep-dive mood boarding and psychological profiling to align client expectations with reality. Resources Design Hardware: designhardware.com Black House Beige (Eva Hughes): blackhousebeige.com RHG Architecture + Design (Rachel Grachowski): rgarchitecture.com Happy Home (Priya Via): hapnyhome.com The Lauzon Collective (Shelly Sandoval): lawsoncollective.com Convo By Design: convobydesign.com Thank you, Eva, Rachel, Shelly and Priya for taking the time to share your thoughts. Thank you to my incredible partner sponsors; Pacific Sales Kitchen and Home, TimberTech and Best Buy. Their sponsorship of Convo By Design allows me to seek out sublime design, stories from beyond the work itself and showcase unique personalities chasing new ideas and changing the way we think about design and architecture.. And present it to you so please give them an opportunity on your next project. Thank you for listening and sharing this journey of ours. 2026 marks thirteen years of constant publication of the podcast with over 700 interviews and three million downloads, streams, and listens.  Please keep those guest suggestions coming as well as thoughts about where you would like the show to record live. Convo By Design at Outlook and on Instagram, Convo X Design, with an “X”. Thanks again for listening, until next time, be well, focused and driven so you can rise above the chaos. -CXD

Send us a textMatt Hamm makes the case for why Brian Thomas Jr. is the best buy-low in dynasty fantasy football right now. Matt dives into what's driving the dip in value, why the concerns are being overstated, and why savvy dynasty managers should be sending offers before it's too late. If you're looking to get ahead of the market and add a potential difference-maker to your roster, this is an episode you don't want to miss. The Jags are CommittedElite UpsideCould BTJ Have Been Hurt?High Volume of TargetsThe Narrative Around BTJ-Add Matt Hamm on Twitter:https://twitter.com/crewmatthamm-Add the Craft Man on Twitter:https://twitter.com/CraftmanPackfan-Join The Crew on the Discord:https://discord.gg/NFqzMzmY-Listen to the episodes on YouTube:https://www.youtube.com/@crewmatthamm-Give us those subscriptions, add the podcast, and give us that 5 star Review!!

Hubert Joly is a Harvard Business School lecturer and globally recognized leadership thinker focused on re-founding business around purpose and people. A former Chairman and CEO of Best Buy, he led one of the most celebrated corporate turnarounds of the past decade by rejecting cost-cutting playbooks in favor of purpose-driven strategy. At Harvard Business School, he co-leads flagship CEO programs and advises organizations on developing next-generation leaders. Joly serves on the boards of Johnson & Johnson and S&P Global, is a trustee of the New York Public Library, has been named among the world's top CEOs and management thinkers by HBR, Barron's, Glassdoor, and Thinkers50, and is the bestselling author of The Heart of Business. In this episode we discuss the following: When Hubert became CEO of Best Buy, he resisted the instinct to cut, cut, cut. Instead, as a first-time CEO, he chose to be a learn-it-all rather than a know-it-all—constantly asking, What's working? What's not? And what do you need? He then held himself to a strong “say-do” ratio, making sure his actions matched his words. I was also struck by the hierarchy he emphasized at Best Buy: people, business, finance. Of course a company has to make money. But when meetings start with finance or strategy, the implicit message is that people come second. Best Buy ultimately clarified this by defining its purpose as enriching lives through technology by addressing human needs. Another powerful idea was Hubert's reminder that culture changes faster than we think—if behavior changes first. If you want to be customer-centric, don't just talk about customers. Spend time with them. Behavior shapes culture surprisingly fast. Give a name or brand to our behavior change goals.

From Corporate to Creator: Turning Fear Into FaithI didn't leave corporate because I hated it. I left because the identity no longer fit.In this first entry of Diary of a Creator, I'm sharing the real story behind becoming an “corp girly” — the part no one warns you about once the title, paycheck, and structure disappear.From my first jobs at 16 (babysitting, Popeyes — yes, red beans and rice trauma included), to working through undergrad and grad school, winning Rookie of the Year at a credit union, trading with 3000%+ ROI, being selected for The Apprentice final 50, consulting with brands like NBC, Victoria's Secret, Sony, Best Buy, and Shania Twain — I've lived what feels like 10,000 lives in one.And yet…Even while helping brands create consistent 6–8 figure results, my own money, worth, and identity were a mess.This episode is about:• The fear that shows up after you leave corporate• Why nothing in your story is wasted• Faith as action — (Faith without works is dead)• Identity loss, stewardship, and becoming a creator in real lifeThis isn't a “quit your job” episode.It's an honest look at what happens when you stop being who you were trained to be — and start becoming who you're created to be.https://bit.ly/createitlikeaboss

On this week's show we look at Smart TV OS rankings according to BGR.com and we ask the question if there will ever be a show like Seinfeld again. We also read your email and take a look at the week's news. News: Sony and TCL Are Teaming Up to Make TVs Paramount+ - THE PRICE OF YOUR PLAN IS CHANGING Broadcast Remains the Most Powerful Platform for Reaching NFL Audiences SVS 3000 R|Evolution Series Smart TV OS Rankings The article Every Major Smart TV OS Ranked Worst To Best Based On User Reviews ranks eight major smart TV operating systems based on user reviews and comments from sources like Best Buy, Reddit, and cross-referenced with expert sites like RTINGS. The focus is on real user experiences regarding performance, app availability, bugs, ads, usability, and overall satisfaction — emphasizing that the OS heavily impacts whether a TV feels premium or frustrating. Ranking (from worst #8 to best #1): 8. VIDAA (used on Hisense TVs): Simple and snappy for basics like Netflix/YouTube, but severely limited app library (missing Stremio, Spotify, major music apps); no Android app support; frequent freezes especially on larger screens (>40 inches); users call it "horrible" and feel like a "dumb" TV. 7. VIZIO OS (formerly SmartCast): Great hardware/value (e.g., affordable 120Hz gaming TVs), but plagued by instability, bugs, frequent problematic updates, ad-pushing, and odd behaviors; many users recommend external streaming sticks over built-in OS. 6. Samsung Tizen: Fast and smooth on high-end models (e.g., S95D OLED), but laggy/slow on older/lower-end sets (button delays of seconds, freezes); heavy ads and unwanted TV Plus channels; users describe UI/Smart Hub as "extremely laggy" and "awful." 5. Fire OS (Amazon Fire TVs): Solid Alexa integration and budget appeal, but very ad-heavy (Prime Video promotions dominate); sluggish performance (1-2 second app launch delays); shifting toward new Vega OS (Linux-based, no sideloading). 4. Google TV: Strong content aggregation, smart home features (Google Gemini), intuitive when hardware is good (excellent on Sony models); can feel cluttered for casual users; performance varies greatly by TV brand/hardware (flawless on premium, weaker on budget). 3. Roku OS: Highly reliable, straightforward, and user-friendly (great for non-tech users); minimal ads/recommendations; rock-solid stability (compared to a "Toyota Camry"); dated/basic interface is the main downside. 2. LG webOS: Smooth, colorful, and easy navigation (Magic Remote point-and-click shines); supports Apple HomeKit/AirPlay 2/Chromecast; kind to non-tech-savvy users; praised for looking premium; downside is increasing home screen bloat/ads/full-screen menus (since 2024) plus screensaver ads. 1. Apple tvOS (via Apple TV device, not built into TVs): Near-perfect — zero lag, no ads, ultra-fluid 4K UI; standout features like InSight (real-time show info), automatic subtitles, Enhance Dialogue (AI vocal clarity); users rave about "super fast responsiveness" and call it underrated; main caveat is needing a separate (pricey) Apple TV box/streamer There Will Never Be a New 'Seinfeld We found a Wall Street Journal opinion piece titled "There Will Never Be a New 'Seinfeld'" which argues that a cultural phenomenon like Seinfeld cannot emerge again in the current media landscape. The show was massively popular and broadly talked about around the "water-cooler" the day after it aired nationally on NBC. The author (Mary Julia Koch) opens with a personal anecdote about young women at a dinner party casually mentioning shows they've watched that others haven't heard of, highlighting how fragmented viewing habits have become due to the explosion of streaming platforms and content choices. The central thesis is that the conditions that made Seinfeld a universal hit in the 1990s are gone forever: Media fragmentation — In the broadcast TV era, there were only a handful of channels, so millions watched the same shows at the same time, creating shared cultural references and conversations. Today, with countless streaming services (Netflix, Hulu, Max, etc.), on-demand viewing, and niche content, audiences are siloed and rarely overlap on the same program. Shift from mass appointment viewing to individualized consumption — No single show can achieve the same cultural penetration or "event" status when people watch on their own schedules and devices. Loss of common cultural touchstones — This makes it impossible for a new sitcom to become the kind of generational, quotable, everyone-knows-it phenomenon that Seinfeld was. Think about the movies and TV shows we watched in the 80s. We all watched the same stuff. It was either in the theater or on TV. So if I quoted Caddy Shack, all my friends knew what I was talking about and laughed. The piece laments that while there are still great comedies and talented creators, none will replicate Seinfeld's unique role in society because the technological and viewing ecosystem has permanently changed. This isn't about declining quality in comedy but about structural shifts in how media is produced, distributed, and consumed. Because of how we consume content, there simply won't be "a new Seinfeld"—the era of such singular, unifying pop-culture hits is over.

Minnesota is home to more than a dozen Fortune 500 companies, including 3M, Target, Best Buy, and General Mills. But in a wave of wake immigration arrests and ICE's killing of 37-year-old Renee Good, executives from many of the state's leading corporations have been noticeably quiet. This morning, we'll examine why exactly that is. But first, enrollment at community colleges was up for the fourth fall in a row.

Minnesota is home to more than a dozen Fortune 500 companies, including 3M, Target, Best Buy, and General Mills. But in a wave of wake immigration arrests and ICE's killing of 37-year-old Renee Good, executives from many of the state's leading corporations have been noticeably quiet. This morning, we'll examine why exactly that is. But first, enrollment at community colleges was up for the fourth fall in a row.