Podcasts about Bash

Sen. John Fetterman continues to bash Democrats, turning his gaze to AOC over her views on Israel. Plus, Howie discusses the state of Mass. fishing with callers and an undocumented immigrant in the news.  Visit the Howie Carr Radio Network website to access columns, podcasts, and other exclusive content.

I talk through the three decks I used to get five back to back Cataclysm Tavern Brawl wins! You can find the deck import codes below the following contact links.  You can follow me @blisterguy on Twitch, Bluesky, and Youtube. Join our Discord community here or at discord.me/blisterguy. You can support this podcast and my other Hearthstone work at Patreon here. ### Token Druid # Cost: 2800 # Format: Standard 2x (1) Crystalspine Cub 2x (1) Fire Fly 2x (1) Living Roots 2x (1) Twilight Egg 2x (1) Vibrant Squirrel 2x (1) Waveshaping 2x (2) Felwood Treant 2x (2) Forest's Gift 2x (2) Mossbinding 2x (2) Power of the Wild 2x (2) Press the Advantage 2x (2) Prize Vendor 2x (3) Wildwood Circle 2x (5) Iridescent Flitterwing 1x (5) Taelan Fordring 1x (6) Wickerfang AAECAZICAqiKBODABw7ZnwSB1ATt5gbJrAftrAeqrwfosQfWwAfXwAfawAfbwAfswAePwQf2wQcAAA== ### Herald Warrior # Cost: 6000 # Format: Wild 2x (1) Eternal Toil 2x (1) Slam 2x (1) Torch 2x (2) Bash 2x (2) Precursory Strike 2x (2) Searing Fissure 2x (2) Shield Block 2x (3) Cataclysmic War Axe 2x (3) Portal Vanguard 2x (4) Scorching Ravager 2x (5) Brawl 2x (5) Envoy of the End 2x (5) For Glory! 1x (6) Gnomelia, S.A.F.E. Pilot 1x (6) Ultraxion 1x (8) Ragnaros, the Great Fire 1x (10) Deathwing, Worldbreaker AAEBAQcE4esG0L8HzskHm9QHDYagBIigBI7UBJDUBJKkB/yvB4+xB9CyB4++B6/BB5XCB5zCB6DFBwAA ### Burn Mage # Cost: 5360 # Format: Wild 2x (1) Flame Geyser 2x (1) Sands of Time 2x (1) Sleet Storm 2x (1) Violet Spellwing 2x (1) Winterspring Whelp 1x (2) Bloodmage Thalnos 2x (2) Primordial Glyph 2x (2) Raincaller 2x (3) Arcane Barrage 1x (3) Conjuration Specialist 1x (3) Eternal Firebolt 2x (4) Alter Time 2x (4) Arcane Flow 1x (4) Archmage Kalec 2x (4) Unstable Spellcaster 1x (6) Gnomelia, S.A.F.E. Pilot 1x (7) Vulcanos 2x (10) Spellweaver's Brilliance AAEBAf0EBpegBOHrBuSyB4i+B5HGB8jHBwyyngaG5gbopQfRpgeLsQfLtgfWvAfXwweGxAeSxAebxAesxgcAAA==

Chaz and AJ asked Vince to go into New Haven yesterday and talk to the fun people at the St. Patrick's Day parade. Vince met Quentin from Ireland, who showed no hesitation breaking into song. Plus, Big Mike was at the Loud Island Bite Bash last week, and spoke to concert goers about their craziest concert experiences. (0:00) Jason Page was on the phone with Chaz and AJ this morning to talk sports, starting with yet another UConn loss at the hands of St. John's. Plus, some talk about the United States team in the World Baseball Classic, and Jason might have already broken his promise regarding the Giants. (15:29) Mike and Mike were in studio with Chaz and AJ this morning to recap all of the Oscars. Did the right movies win? Was Conan a good host? Has Barbra Streisand stopped talking yet? (27:07)

Chaz and AJ were out late last night for Loud Island's Bite Bash, and Chaz wiped out while holding two expensive drinks. (0:00) In Dumb Ass News, a Detroit woman called police when a hairdresser pulled a gun on her for $10. (11:30) It is Friday the 13th, and AJ talked about the common superstitions people obey. (19:18) Chaz and AJ asked the Tribe to call in with the commercials that randomly get stuck in their head from when they were growing up. Anyone else remember Mount Airy Lodge? (23:37)St. Patrick's Day parades continue this weekend in Connecticut, including the Milford parade happening tomorrow. Chaz and AJ spoke with Mike McCabe, the chief organizer this morning about how this event has grown rapidly. (36:25) 

This episode of Chasin' Birdies is our latest and greatest since our last drop in February. It's been a rough start to the year for our boy Pepe, but hopefully the tides are turning, and we can all embrace the golf season that is finally upon us.We open up the episode and pick up right where we left off. The 2026 Pine Needles Invitational at Pine Needles, Mid-Pines, and Southern Pines just wrapped up, and we have some stories to share from that. Plus, a good friend of the pod just launched his new clothing line, IDAKA, and Bash was a part of that initial launch by acting as a model. The story sparks humor as it relates to how and why.We turn the episode over and get into the Pelican Member Guest that Pepe just played in. The highlight of this episode is the ‘shit' story…yes. The story can actually put you in tears. We hear from Pepe and their unsuccessful bid at defending the championship in 2026.The episode turns over, and we get into some golf talk with The Players kicking off. We run through the list of who we think has the best chance of winning. Naturally, March Madness is here, and NFL free agency is kicking off.We round out the episode with more banter and talks surrounding our 2-Man event in August. Tune in, share, and hear from the boys as we chop it up and look ahead to more guests here in Chasin' Birdies.Key Links:Visit redvanly.com for great golf apparel now repped by Chasin' Birdies.Stay tuned for more info on winning custom headcovers from WinstonCollection.comOur Tap-in segment is sponsored by Bettinardi GolfPartners with Nemacolin Resort.-----Follow Chasin' Birdies on Instagram @chasin_birdies.Chasin' Birdies is hosted by Ryan Bashour and Jonathan Pepe. Produced by Simpler Media.

Something bigger than politics is unfolding: escalating rhetoric, territorial grabs, economic shocks, and large-scale military strikes. Using the Law of One and a chakra-based model of human development, this episode frames our moment as a liminal passage from third to fourth density, where unresolved identity wounds (orange ray) are being amplified by emerging heart-centered energies—producing what the host calls the Great BASH: Bellicose Attitude, Aggressive Actions, Scarred and Scared, and Hope through Hostility. The episode argues that healing begins with clear-eyed diagnosis and personal work: refusing the myth of redemptive violence, doing the foundational orange-ray work of self-knowledge and shadow integration, and practicing recognition instead of retaliation—offering Francis of Assisi's example as a model for encountering the other without becoming what we oppose.

We are hitting it out of the park with our baseball teams.

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

 Once you're signed up, on Patreon!!! https://patreon.com/FishingtheDMVPodcastOn this special episode of Fishing the DMV, we're officially announcing our next big community event — The Spring Bass Bash Tournament!

Unsere Hosts Jessica Haltenhof und Martin Wroblewski waren im Digital Bash Podcast von onlinemarketing.de zu Gast. Gemeinsam mit Niklas Lewanczik sprechen sie über den Wandel der Marketingbranche, die wachsende Bedeutung der Community Economy und warum es heute entscheidend ist, Nischen gezielt zu aktivieren. Außerdem geht es um ein Thema, das Marken immer stärker prägt: Haltung – und warum sie zum echten Wettbewerbsvorteil werden kann.MEHR ZU NIKLASLinkedInOnlinemarketing.deDigital BashMEHR ÜBER UNS⁠Website⁠⁠Instagram⁠⁠⁠⁠LinkedIn⁠⁠Impressum⁠

Guess who's back, back again - Hive Scum's back, but keep it to yourself. This ain't your average POD baby. Today we've got the FABULOUS Shane (@7he_blindman) whos here to talk about his new endeavor GRUB GRUB PRESS! He's sharing our studio space with us, and it's safe to say it's really leveled up the whole crew. On top of that, we are all in the trenches of getting ready for Adepticon, and we are looking forward to seeing you all there! We talk hobby burnout, and how to combat it, talk about finishing projects and hear about how Shane came to be involved in this hobby world!Big shout out to all those Scumbags that decided to join our Patreon, you are the reason we can keep on keeping on - thank you!Mute the HATERS, and Bash the Planet!We have sick merch! ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Hive Scum Big Cartel⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Check out Knucklebones Miniatures' (@knucklebones_miniatures) New Hive Scum Flagellants! ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Knucklebones Patreon⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Join the In Rust We Trust discord here: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠IRWT Discord⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠If you'd like to support us further, take a look at our Patreon! We'd love to have you: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Hive Scum Patreon⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Buy all of the Under the Dice Merch here: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Under the Dice⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠We are on IG/Blogger:Hive Scum: @hivescumpodcastSteve: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Under the Dice⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Gage: @noclearcoatTerry: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠w0rmh0l3 Blog⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

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Live Recorded Set from VirtualDJ Radio ClubZone

Crypto pushes back against Ray Dalio's comments on Bitcoin. Billionaire Ray Dalio blasts Bitcoin again, claiming it lacks the qualities of gold and faces existential threats from quantum computing. Crypto experts are pushing back on those comments, arguing his critiques are "tired" and already priced in. CoinDesk's Jennifer Sanasie hosts "CoinDesk Daily." - Nexo is the premier digital wealth platform. Receive interest on your crypto, borrow against it without selling, and trade a range of assets. Now available in the U.S with 30 days of exclusive privileges. Get started at nexo.com/coindesk. - This episode was hosted by Jennifer Sanasie. “CoinDesk Daily” is produced by Jennifer Sanasie and edited by Victor Chen.

Live Recorded Set from VirtualDJ Radio ClubZone

Taylor from Wrestling With Pride joined Billy to talk about the promotion, and their upcoming event on March 7th, Bash In Byker.

Democrats Robin Kelly, Raja Krishnamoorthi and Juliana Stratton participated in candidate forum broadcast Thursday on WTVP and presented by the League of Women Voters of Greater Peoria and the League of Women Voters of Illinois.

Welcome to Wrestling Recommendations!Your hosts Eddy and Travis dive in with a deep retrospective and watch along to some of their favorite wrestling matches.Chosen at random by the Wheel of Destiny!On this episode, we travel back to the blur that was the WWE in 2009. Where we will see the culmination of what many consider the biggest and best feud of the year. As Rey Mysterio puts his mask on the line against Chris Jericho for the Intercontinental Championship. Taking place at The Bash PPV on June 28th, 2009!Listen and watch along, as they continue to bring you their Wrestling Recommendations!

¿Es Python siempre la mejor opción para tus scripts de automatización? En este episodio, Lorenzo profundiza en una de las discusiones más recurrentes de la comunidad: la estabilidad de los scripts frente a la comodidad de los módulos de terceros. Acompaña a nuestro experto en Linux mientras desglosa los motivos que lo llevaron a abandonar soluciones basadas en Python para la gestión de metadatos de audio.Descubre ID3CLI, una herramienta potente y ligera escrita en Rust que soluciona los problemas de retrocompatibilidad y fallos en tiempo de ejecución. Aprenderás cómo automatizar el etiquetado de tus podcasts extrayendo datos directamente de archivos Markdown, eliminando la necesidad de introducir información manualmente en herramientas gráficas. Analizamos la importancia de tener binarios compilados que simplemente "funcionan", permitiéndote centrarte en crear contenido en lugar de arreglar herramientas rotas.Temas destacados del episodio: Bash vs Python: ¿Cuándo el "follón" de compilar merece la pena? Los peligros de depender de módulos de terceros que cambian sin previo aviso. De EasyTag a la automatización total en la terminal. Uso de Front Matter y RipGrep para un flujo de trabajo eficiente. Soporte de metadatos para Apple y carátulas en múltiples formatos. Capítulos,00:00:00 Introducción: El dilema de Bash vs Python00:00:48 El riesgo de las dependencias de terceros en Python00:01:35 La obsesión por la automatización de metadatos00:03:01 Flujo de trabajo: De EasyTag a la Terminal00:05:36 Extrayendo datos del Front Matter en Markdown00:07:24 Herramientas antiguas: ID3 y MiD3v2 (Mutagen)00:09:12 El colapso de los módulos y la necesidad de compilar00:10:13 Presentando ID3CLI: La solución definitiva en Rust00:11:53 Características técnicas y soporte de formatos (MP3, OGG, FLAC)00:13:48 Integración de ID3CLI en scripts de automatización00:15:23 Reflexión sobre la importancia de los metadatos00:16:42 Nuevo proyecto: El podcast "La Era de las Distros"00:17:47 Comunidad y cierre del episodioAdemás, Lorenzo nos habla sobre su nuevo podcast "La Era de las Distros", una mirada necesaria a las distribuciones Linux que marcaron un hito en la informática española como LinEx o Guadalex. ¡Disfruta del episodio y optimiza tu entorno Linux!Más información y enlaces en las notas del episodio

OpenClaw is a self-hosted AI agent daemon that executes autonomous tasks through messaging apps like WhatsApp and Telegram using persistent memory. It integrates with Claude Code to enable software development and administrative automation directly from mobile devices. Links Notes and resources at ocdevel.com/mlg/mla-29 Try a walking desk - stay healthy & sharp while you learn & code Generate a podcast - use my voice to listen to any AI generated content you want OpenClaw is a self-hosted AI agent daemon (Node.js, port 18789) that executes autonomous tasks via messaging apps like WhatsApp or Telegram. Developed by Peter Steinberger in November 2025, the project reached 196,000 GitHub stars in three months. Architecture and Persistent Memory Operational Loop: Gateway receives message, loads SOUL.md (personality), USER.md (user context), and MEMORY.md (persistent history), calls LLM for tool execution, streams response, and logs data. Memory System: Compounds context over months. Users should prompt the agent to remember specific preferences to update MEMORY.md. Heartbeats: Proactive cron-style triggers for automated actions, such as 6:30 AM briefings or inbox triage. Skills: 5,705+ community plugins via ClawHub. The agent can author its own skills by reading API documentation and writing TypeScript scripts. Claude Code Integration Mobile to Deploy Workflow: The claude-code-skill bridge provides OpenClaw access to Bash, Read, Edit, and Git tools via Telegram. Agent Teams: claude-team manages multiple workers in isolated git worktrees to perform parallel refactors or issue resolution. Interoperability: Use mcporter to share MCP servers between Claude Code and OpenClaw. Industry Comparisons vs n8n: Use n8n for deterministic, zero-variance pipelines. Use OpenClaw for reasoning and ambiguous natural language tasks. vs Claude Cowork: Cowork is a sandboxed, desktop-only proprietary app. OpenClaw is an open-source, mobile-first, 24/7 daemon with full system access. Professional Applications Therapy: Voice to SOAP note transcription. PHI requires local Ollama models due to a lack of encryption at rest in OpenClaw. Marketing: claw-ads for multi-platform ad management, Mixpost for scheduling, and SearXNG for search. Finance: Receipt OCR and Google Drive filing. Requires human review to mitigate non-deterministic LLM errors. Real Estate: Proactive transaction deadline monitoring and memory-driven buyer matching. Security and Operations Hardening: Bind to localhost, set auth tokens, and use Tailscale for remote access. Default settings are unsafe, exposing over 135,000 instances. Injection Defense: Add instructions to SOUL.md to treat external emails and web pages as hostile. Costs: Software is MIT-licensed. API costs are paid per-token or bundled via a Claude subscription key. Onboarding: Run the BOOTSTRAP.md flow immediately after installation to define agent personality before requesting tasks.

Wee woo wee woo - ALERT ALERT we've got hot new-new for your ears. Today we are talking only cool things, the coolest things, or at least the coolest things we think are cool and why we think they are cool (but haven't done yet). HOWS THAT FOR A TOPIC HA! On top of that Gage got his booty tatted and played some Warcry (he likes it). Terry is slowly chipping away at his new album and is trying to wrap up the new copy of w0rmh0l3 EX. Finally STEVE talks about printing massive amounts of space hulk corridors and trying to ascend to the rank of MASTER CHIEF. What do you think gang - time for Spring yet?Big shout out to all those Scumbags that decided to join our Patreon, you are the reason we can keep on keeping on - thank you!Mute the HATERS, and Bash the Planet!We have sick merch! ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Hive Scum Big Cartel⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Check out Knucklebones Miniatures' (@knucklebones_miniatures) New Hive Scum Flagellants! ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Knucklebones Patreon⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Join the In Rust We Trust discord here: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠IRWT Discord⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠If you'd like to support us further, take a look at our Patreon! We'd love to have you: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Hive Scum Patreon⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Buy all of the Under the Dice Merch here: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Under the Dice⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠We are on IG/Blogger:Hive Scum: @hivescumpodcastSteve: ⁠⁠⁠⁠⁠⁠⁠⁠⁠Under the Dice⁠⁠⁠⁠⁠⁠⁠⁠⁠Gage: @noclearcoatTerry: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠w0rmh0l3 Blog⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

To access the extended version of this episode, join our Patreon. Our community awaits with legs open and lips parted

First up in the news: Mint Monthly News – January 2026, In security and privacy: Theres an SSH Stalker And finally, the feedback and a couple of suggestions

We all love to hate tax season, particularly with the issues CRA had during 2025. While complaining about taxes is one strategy for making it through this new tax season, Dave and Reb invite Stephen Tibben to share how to most efficiently and safely navigate CRA without falling for common scams or missing important document deadlines. On episode #469 of “Let's Talk Money with Dave and Reb”, the co-hosts focus on the practicalities of tax season to help inform listeners how to use CRA to create ease during tax season. Tune in and listen to their conversation which is sponsored by the Ottawa-based Crosspoint Financial team led by Brent Vandermeer. There, you will discover a place to invest with purpose as the Crosspoint asset management and financial planning team helps you achieve your goals and dreams across all facets of life. Go to https://www.crosspointfinancial.ca/ to find out more, or to book an appointment with a financial advisor. To order Reb's book Cultivating Trust Expanded Edition: Finding God's Hope and Freedom for Your Finances, go to https://www.amazon.ca/dp/1998412164/ref=sr_1_3?crid=XUVAMAN0TFEY&dib=eyJ2IjoiMSJ9.8x0mkzEbAurMet_Q02DjC1uI9_HBqWQlnPySUgf62Ik9smNv5IQUJVSYBOXp4dhvsmfU3vzJivqJWwrvkTfyLe4uDWay18JChGQ1QWENY4FXHjdhLEkWMLQT8BHP9Lz18vRbIHFrvkyO6ocnHFx7rS2jtZ7WVzmIhw0U7cFRtGtRdvaw7gj3W2qigq_7EBTDZBOEfMVxxeuk405kn921-o-irE3XdWX2KrJ8e0G9W1usTiTi2j-EANx4MC_ygttzlzwj_1qmQC8MCk5LxF6jXTDr1ETe1v3O1q5o0rO4H2g.pybaC103ktXcDYR0puZtPXOBpswpMjPmU0vYc-KTAnc&dib_tag=se&keywords=cultivating+trust&qid=1732127878&sprefix=cultivating+trust%2Caps%2C117&sr=8-3. To access information on the Service Canada Account mentioned in today's show go here: https://www.canada.ca/en/employment-social-development/services/my-account.html To read the article mentioned in today's show regarding the Auditor General's report about CRA, go here: https://www.cbc.ca/news/politics/ag-fall-2025-cra-military-9.6946672 #morethanenough #finances #money #financialfitness #taxes #cra

The Guy Benson Show 02-17-2026 Learn more about your ad choices. Visit podcastchoices.com/adchoices

Host Jeremy C. Park interviews Dr. Sarah Breazeale, Executive Director of the American Red Cross – Mid-South Chapter, who highlights how the organization delivers vital services, providing relief and support to those in crisis and helping individuals be prepared to respond in emergencies. Sarah explains how the chapter responds to home fires, provides blood drives, offers training certifications, and supports military families. She highlights the critical need for volunteers and financial support, noting that 90% of their workforce is volunteer-driven. She concludes by promoting the Red Boa Bash fundraising event scheduled for Saturday, March 21st at The Guest House at Graceland, which aims to raise money for home fire relief efforts in the Mid-South region. Sarah notes that the organization responds to approximately 500 residential fires each year, and walks alongside the families for months as they navigate the process of rebuilding their lives. Sarah invites the community to attend the event and join in the celebration with music, fun, and flair, and then look at an upcoming course, blood drive, or volunteer opportunity where you can help make a difference.Visit https://www.redcross.org to learn more about the American Red Cross and visit https://www.redcross.org/local/tennes... to learn more about the Red Boa Bash.

Martin Casado speaks with Ankur Goyal, founder and CEO of Braintrust, about where engineering actually matters in AI and where it doesn't. They cover the open source vs closed source model cycle, why Chinese models are gaining ground faster than spending suggests, whether AI demand will eventually saturate, and the Bash vs SQL benchmark that challenges the "just give it a computer" approach to agents.Follow Martin Casado on X: https://twitter.com/martin_casadoFollow Ankur Goyal on X: https://twitter.com/ankrgyl Check out everything a16z is doing with artificial intelligence here, including articles, projects, and more podcasts. Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Today, we are joined by sooooo many amazing guests to talk about Valentine's Day, ships they're looking forward to seeing this year, LOVEEEEE, tropes, and so much more! We are joined by Abby from @thepurplegiraffereads , Alex from @alexlcriddle , Shanna from @cozygreylibrary , Megan from @megancristbooks , Tare from @tare_rose_reads , and Antoinette from @antoinettecealopesreads .These ladies ARE FABULOUS and WISE! Give this episode a listen, give them a follow, and enjoy your Valentine's Day, shippers! YOU are our valentines!

What if the fungi kingdom holds answers not just for healing the body, but for transforming how we relate to nature, medicine, and ourselves? In this episode, we explore the many dimensions of mushrooms from science and ecology to spirituality, alchemy, and modern wellness. Featuring ecologist and psychedelic researcher Sam Gandy, mycotherapy educator Oli Genn-Bash, and mycologist and alchemical practitioner Jason Scott, this conversation opens the door to fungi as teachers, allies, and agents of change.You can find show notes, resources and more at: https://tinyurl.com/yubtd748  Enter our February giveaway! One lucky winner in the U.S. will be selected to win the Ultimate Supported Microdosing Experience.To enter, visit www.microdosingforhealing.com

Live Recorded Set from VirtualDJ Radio ClubZone

This week we discuss the best ways to build lists for tournaments, and we chat through the newly released Oldhammer pack. [0:01:20] Intro[0:08:48] Approaching Tourney Packs in terms of list building[1:10:07] Patreon Shoutouts and Questions[1:39:40] Hobby[1:47:52] List Previews for Bash[1:57:45] WrapupLucent Art Light - https://gameenvy.net/lucent-art-light/gommo's Shaggoth - Clay beast creations - https://www.myminifactory.com/object/3d-print-ancient-centigon-207675Support the ShowJoin the Patreon -https://patreon.com/oldworldfanaticsShop Old World @ Element Games - https://elementgames.co.uk/wargames-and-miniatures-by-game/warhammer-the-old-worldLinks and ShoutoutsOld World Rankings - https://oldworldrankings.com/auAustralian Discord Server - https://discord.gg/yYaTG5svBVFollow UsYouTube - https://www.youtube.com/@oldworldfanaticsBluesky - https://bsky.app/profile/oldworldfanatics.comInstagram - https://www.instagram.com/oldworldfanaticsThreads - https://www.threads.net/@oldworldfanaticsEmail - oldworldfanatics@gmail.comHuge thanks to our monthly supporters!

¿Te preocupa tener tus claves y contraseñas en texto plano? En este episodio 770 de Atareao con Linux, te explico por qué deberías dejar de usar variables de entorno tradicionales y cómo Podman Secrets puede salvarte el día. Yo mismo he pasado años ignorando este problema en Docker por la pereza de configurar Swarm, pero con Podman, la seguridad viene de serie.Hablaremos en profundidad sobre el ciclo de vida de los secretos: cómo crearlos, listarlos, inspeccionarlos y borrarlos. Te mostraré cómo Podman gestiona estos datos sensibles fuera de las imágenes y fuera del alcance de miradas indiscretas en el historial de Bash. Es un cambio de paradigma para cualquier SysAdmin o entusiasta del Self-hosting.Pero no nos quedamos ahí. Te presento Crypta, mi nueva herramienta escrita en Rust que integra SOPS, Age y Git para que puedas gestionar tus secretos de forma profesional, permitiendo incluso la sincronización con repositorios remotos. Veremos cómo configurar drivers personalizados y cómo usar secretos en tus despliegues con MariaDB y Quadlets.Capítulos destacados:00:00:00 El peligro de las contraseñas en texto plano00:01:23 El problema con Docker Swarm y por qué elegir Podman00:03:16 ¿Qué es realmente un Secreto en Podman?00:04:22 Ciclo de vida: Creación y muerte de un secreto00:08:10 Implementación práctica en MariaDB y Quadlets00:12:04 Presentando Crypta: Gestión con SOPS, Age y Rust00:19:40 Ventajas de usar secretos en modo RootlessSi quieres que tu infraestructura sea realmente segura y coherente, este episodio es una hoja de ruta esencial. Aprende a ocultar lo que debe estar oculto y a dormir tranquilo sabiendo que tus tokens de API no están al alcance de cualquiera.Más información y enlaces en las notas del episodio

Live Recorded Set from VirtualDJ Radio ClubZone

This week I welcomed comedian Bash The Entertainer into the BrawBrave Clan! With an online fan base now in the millions, Bash has carved out an incredible career to date, working with an array of high profile brands globally, with his content going viral on the daily! Also a recording artist and presenter, from streaming to press junkets, reaction videos to stand up, Bash shares his wit and creativity sparking joy globally! Follow Bash The Entertainer TikTok https://www.tiktok.com/@bashtheentertainer?_r=1&_t=ZN-93E6VB5ZpRe Instagram https://www.instagram.com/bashtheentertainer?igsh=MThtdHFsYzQ2dGkybQ== This episode is supported by Scottish Vocal Coach. Angela's Instagram https://www.instagram.com/scottish_vocal_coach?igsh=ZXp2azczcG13YTFk Follow The Braw and The Brave Website: https://www.thebrawandthebrave.com/ YouTube: https://www.youtube.com/@TheBrawandTheBrave TikTok: https://www.tiktok.com/@thebrawandthebrave Instagram: https://www.instagram.com/thebrawandthebravepodcast/ Facebook: https://www.facebook.com/TheBrawandTheBrave

The Dow rallies in early market trade, reversing direction to hit a new record high. Citi lays out where they think stocks go next. Then some new reporting by CNBC details OpenAI CEO Sam Altman's rallying cry to employees as pressure mounts from Anthropic. And could a wave of anti-American sentiment hit the markets? Rockefeller's Ruchir Sharma explains why it's not likely. 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.

David Bash in conversation with David Eastaugh  https://internationalpopoverthrow.com/ The International Pop Overthrow Music Festival was created in December 1997. The name was chosen to pay tribute to Jim Ellison, singer songwriter of Material Issue, a power pop band from Chicago, whose 1991 debut album was entitled International Pop Overthrow. In August 1998, the first International Pop Overthrow festival was held in Los Angeles, featuring 120 pop and rock bands from Los Angeles, several other US cities, and 10 bands from five countries: Canada, Australia, Sweden, France, and the Netherlands. Over the next three years, its roster grew to include bands from countries such as Japan, Norway, Austria, Israel, and the United Kingdom. At the 2001 festival, during a panel discussion, it was suggested by several bands that Bash take International Pop Overthrow on the road

Sam One x Dj Bash | Live @ Flow House Party Set Link Tree: Podcast Link PODCAST | house4you Website: https://www.house4youmusic.com Youtube: https://youtube.com/@house4youmusic Instagram: https://www.instagram.com/house4youmusic/ Facebook: https://www.facebook.com/house4youmusic Bye M'y Music: https://www.feiyr.com/x/BW2R8

Well listener, we're BACK from BED-STUY and we've got stories to tell. The Godling show was a BLAST, so many good friends and good fun chilling in the city all last weekend. We talk a little about the pieces, the venue, the community love that we felt from this event, and tackle some tough convos about what makes an artist with a capital A? On top of that Gage talks about priming inside a hotel room after learning the hack from BDCF, Steve's getting the next issue of Under the Dice wrapped up, and Terry cleans up his damn computer and makes it SLIGHTLY less slow.Big shout out to all those Scumbags that decided to join our Patreon, you are the reason we can keep on keeping on - thank you!Illegally park on a snowbank, and Bash the Planet!We have sick merch! ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Hive Scum Big Cartel⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Check out Knucklebones Miniatures' (@knucklebones_miniatures) New Hive Scum Flagellants! ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Knucklebones Patreon⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Join the In Rust We Trust discord here: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠IRWT Discord⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠If you'd like to support us further, take a look at our Patreon! We'd love to have you: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Hive Scum Patreon⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Buy all of the Under the Dice Merch here: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Under the Dice⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠We are on IG/Blogger:Hive Scum: @hivescumpodcastSteve: ⁠⁠⁠⁠⁠⁠⁠⁠Under the Dice⁠⁠⁠⁠⁠⁠⁠⁠Gage: @noclearcoatTerry: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠w0rmh0l3 Blog⁠⁠⁠⁠⁠⁠⁠⁠⁠

durée : 00:57:58 - Le Souffle de la pensée - par : Géraldine Mosna-Savoye - C'est suite à l'incendie de sa maison que le poète japonais Matsuo Bashô se lance dans un périple de cinq mois à travers le Japon. Un voyage qui lui inspire le plus célèbre de ses journaux, "La sente étroite du bout du monde". Mêlant prose, poésie et voyage, ce dernier a séduit Pascal Quignard. - réalisation : Nicolas Berger - invités : Pascal Quignard Ecrivain, violoncelliste

To access the extended version of this episode, join our Patreon. Our community awaits with legs open and lips parted

Paul takes calls and zooms throughout the hour from the usual lineup to discuss the Charles Bediako eligibility case. Plus, Peter Rauterkus from AL.com joins the show to discuss Alex Golesh becoming Auburn's next head coach. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Wes and Scott talk with Armin Ronacher and Mario Zechner about PI, a minimalist agent harness powering tools like OpenClaw. They unpack why Bash is “all you need,” the risks of agents, workflow adaptability, and where AI coding agents are actually headed. Show Notes 00:00 Welcome to Syntax! 03:28 What is Pi, and why does it matter? OpenClaw 05:54 What do we actually mean by “agents”? 11:04 Prompt injection: how LLMs get tricked 14:19 Is Claude Cowork actually secure? 22:01 How Armin and Mario use agents day to day 26:37 Brought to you by Sentry.io 27:25 Memory and search: teaching agents to remember 33:04 Do coding agents even need memory? 34:36 “Bash is all you need” 37:21 Adding power: how agents learn new tricks 47:02 Tools and models Armin and Mario are using right now 54:15 Sick picks + shameless plugs Sick Picks Mario: Cards for Ukraine Armin: Pro-Ject Audio Turntable Shameless Plugs Armin: Thorsten Ball Newsletter Simon Willison Hit us up on Socials! Syntax: X Instagram Tiktok LinkedIn Threads Wes: X Instagram Tiktok LinkedIn Threads Scott: X Instagram Tiktok LinkedIn Threads Randy: X Instagram YouTube Threads

In hour 3, Mark is joined by Tim Graham, the Executive Director for the Media Research Center's Newsbusters. They discuss "Melania" hitting theaters, Grammy reactions and more. Mark is then joined by KMOX Sports Director Tom Ackerman who discusses Brendan Donovan being traded to the Seattle Mariners as well as the Cardinals new TV Deal with Major League Baseball. He's later joined by Mark Milton, the Managing Attorney of Milton Law Group, a local tax lawyer and a former DOJ Tax Division Trial Attorney. He discusses which tax changes you need to know about as people prepare to work on tax forms. They wrap up the show with the Audio Cut of the Day.

In hour 1 of The Mark Reardon Show, Mark and the crew review some of the Anti-ICE comments made at the Grammy's. Mark is then joined by Gary Abernathy, a longtime Newspaper Editor, Reporter and Columnist for the Washington Post and a Contributing Columnist for The Empowerment Alliance. He discusses his latest piece in "Real Clear Energy" which is headlined, "Climate Alarmists Are Often Wrong But Never in Doubt". Later, Mark is joined by Brad Young, 97.1 FM Talk's Chief Legal Analyst and a Partner with Harris, Young and Kayser. He discusses the latest on the Luigi Mangione trial including why the judge removed the option for seeking the death penalty and more. In hour 2, Mark is joined by Gentry Trotter, the Founder and Interim Executive for Heat Up St Louis who discusses the upcoming Annual Hardee's "Rise and Shine for Heat Day" benefit. Sue then hosts, "Sue's News" where she discusses the latest trending entertainment news, this day in history, the random fact of the day and more. Mark is then joined by Missouri Attorney General Catherine Hanaway who discusses suing federal agencies to stop the U.S. Census from counting non-citizens. He's later joined by KSDK Sports Director Frank Cusumano who discusses the latest on Brendan Donovan being traded to Seattle, the Cardinals new TV situation, SLU Basketball's continued dominance and more. In hour 3, Mark is joined by Tim Graham, the Executive Director for the Media Research Center's Newsbusters. They discuss "Melania" hitting theaters, Grammy reactions and more. Mark is then joined by KMOX Sports Director Tom Ackerman who discusses Brendan Donovan being traded to the Seattle Mariners as well as the Cardinals new TV Deal with Major League Baseball. He's later joined by Mark Milton, the Managing Attorney of Milton Law Group, a local tax lawyer and a former DOJ Tax Division Trial Attorney. He discusses which tax changes you need to know about as people prepare to work on tax forms. They wrap up the show with the Audio Cut of the Day.

For months, Abbie and Adam have endured shocking abuse and harassment from so-called 'trolls' online. While Adam previously did not want to address this and add fuel to the fire unnecessarily, he has changed his mind after two shocking public incidents - one occuring the morning of the Hottest 100. This kind of online abuse has real world consequences, and needs to be called out. CW: This episode contains discussions of harassment, verbal abuse, and suicide – as well as references to homophobic slurs. If this content raises any issues for you, help is availablie via Lifeline at https://www.lifeline.org.au/ or by calling 13 11 14, and via BeyondBlue at 1300 224 636 or at www.beyondblue.org.au/. LINKS Follow Adam on IG at @keliholiday Follow Adam on TikTok at @keliholiday Pre-order Adam's album 'Capital Fiction' - out Feb 13 https://merchfan.co/collections/keli-holiday Teach Us Consent video: https://www.instagram.com/p/DTw6R8Oic3r/ Check out @itsalotpod on IG at https://bit.ly/itsalot-instagram Review the podcast on Apple Podcasts https://bit.ly/ial-review Follow LiSTNR Entertainment on IG @listnrentertainment Follow LiSTNR Entertainment on TikTok @listnrentertainment Get instructions on how to access transcripts on Apple podcasts https://bit.ly/3VQbKXY CREDITS Host: Abbie Chatfield @abbiechatfield Guest: Adam Hyde @keliholidayExecutive Producer and Editor: Amy Kimball @amy.kimballDigital and Social and Video Producer: Oscar Gordon @oscargordon Social and Video Producer: Justin Hill @jus_hillIt's A Lot Social Media Manager: Julia ToomeyManaging Producer: Sam Cavanagh Find more great podcasts like this at www.listnr.com/See omnystudio.com/listener for privacy information.

Two special guests this week to promote two special events: Rusty Holland, Executive Director of Concern Hotline, Inc. joins Barry to invite everyone to the 'Soup-er Bowl Bash' at Winchester Brew Works on February 7th.  Four food trucks will be competing for the 'Best Soup' crown, with paper football and other fun games.  (www.concernhotline.org) Robyn Miller, Executive Director of WATTS (Winchester Area Temporary Transitional Shelter) invites the community to participate in the upcoming 'Coldest Night of the Year' walk on February 28th.  WATTS, in partnership with 75 local churches, provides safe, warm, overnight housing and meals to our area homeless and a daytime warming center.  (www.watts-homelessshelter.org 

After two months of accumulated Qs, we felt we still had plenty of As to dispense, so we're wheeling back around to a supplemental questions episode this week, touching on such topics as generating negative mileage in an EV, what the iOS low battery mode actually does, tiny network racks for your desk, a shocking amount of discussion about shells like zsh, fish, PowerShell and Nushell, the whereabouts of Intel's successor to the Alder Lake-N... and, for that matter, why (nearly) everything at Intel is a Lake.The Voyager documentary It's Quieter in the Twilight: https://www.youtube.com/watch?v=RIP1p5gAoak Support the Pod! Contribute to the Tech Pod Patreon and get access to our booming Discord, a monthly bonus episode, your name in the credits, and other great benefits! You can support the show at: https://patreon.com/techpod

Welcome to another Engearment podcast where we cover what the team has been up too, what gear they are reviewing and what gear we WILL be reviewing. This month we tested new shoes from Altra and Salomon, new goggles from Vallon and Smith, a new helmet from Sweet Protection, updated TREW TREWth bibs and Cosmic Primo jackets, YETI backpacks, PAKA 1/4 zip pullover, HOKA Stinson shoes, Fjallraven touring backpack, HydroSnooze sleep system, and KETL Mountain Apparel gear.  Among dozens more written reviews. We are gearing up for the OMA Winter show and will have lots of video coverage for you to enjoy.  Then we are off to Ski Sante Fe to host the Beacon Bash and raise money for Taos Mountain Rescue Dogs as well as an avalanche education course. We will have reviews on some cool gear from Outdoor Vitals, Arcteryx, Victorinox, Smartwool, Alta, Hyperice, Yeti, Mammut, Fenix and Petzl coming up as well. Stay tuned!

Take a week off only for ICE to execute another person in Minneapolis.  Topics for the show: The media may finally be waking up and starting to do their job. Dana Bash pressed Greg Bovino on the murder for Alex Pretti and it did not go well for Bovino Full Interview Bovino did so poorly on the Bash interview, he scrambled to do a press conference that resulted in him also being pressed by the media and him having to quickly leave Full Press Conference Also, turns out what we predicted was right and Bovino's claim about the man they were after was also full of lies as well DHS and the Trump administration continue to use abuser language "Just do what we say. You're making us hurt you" As a Black person it's okay to have conflicting feelings right now as we watch white people and the media finally come to the realization of what the government and law enforcement does but that it took two white people to be killed instead of listening when this was happening to black people It's not just awaken at home but we're watching foreign leaders also realize that it's time for a change. Mark Carney (Canada's PM) gave an amazing speech at the World Economics Forum  Guest: Ro @bookblerd.bsky.social‬   Like what you hear? Subscribe so you don't miss an episode!   Follow us on BlueSky: @InsanityReport  

The guys do this week's NFL version of "Can We Say That?" to get Best Of Valenti underway. Plus, they react to the Pistons' bludgeoning of the Knicks on Monday, discuss some absurd NIL stories, and much more!