Podcasts about harnesses

The era of the simple AI wrapper is officially dead, and the entire software infrastructure layer is being completely rebuilt. Live from the Daytona COMPUTE Conference in San Francisco, Harrison Chase, co-founder and CEO of LangChain, joins the MAD Podcast to explain why this massive shift is happening. As agents evolve from simple prompt-based systems into software that can plan, use tools, write code, manage files, and remember things over time, the real frontier is shifting from the model itself to the stack around the model. In this conversation, we go deep under the hood of this new, post-cloud architecture to deconstruct harnesses, sub-agents, context compaction, observability, memory, and the critical need for secure compute sandboxes. For anyone building in AI today, this episode cuts through the noise to reveal the new infrastructure required to make autonomous agents work in the real world.(00:00) Intro - meet Harrison Chase(01:32) What changed in agents over the last year(03:57) Why coding agents are ahead(06:26) Do models commoditize the framework layer?(08:27) Harnesses, in plain English(10:11) Why system prompts matter so much(13:11) The upside — and downside — of subagents(15:31) Why a useful agent needs a filesystem(18:13) The core primitives of modern agents(19:12) Skills: the new primitive(20:19) What context compaction actually means(23:02) How memory works in agents(25:16) One mega-agent or many specialized agents?(27:46) Has MCP won?(29:38) Why agents need sandboxes(32:35) How sandboxes help with security(33:32) How Harrison Chase started LangChain(37:24) LangChain vs LangGraph vs Deep Agents(40:17) Why observability matters more for agents(41:48) Evals, no-code, and continuous improvement(44:41) What LangChain is building next(45:29) Where the real moat in AI lives

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

Between copyright-free AI art, government blacklists, and data brokers run amok, this episode spotlights the fierce new battles for privacy, agency, and control in our digital lives. Plus, hear Cory Doctorow break down why the AI gold rush may be headed for a colossal crash. Pentagon Officially Tells Anthropic It Is a Supply Chain Risk Trump moves to blacklist Anthropic AI from all government work If AI is a weapon, why don't we regulate it like one? Sam Altman's greed and dishonesty are finally catching up to him ChatGPT user base surges 350% in 18 months as it nears 1 billion weekly active users AI-generated art can't be copyrighted after the Supreme Court declines to review the rule Chardet dispute shows how AI will kill software licensing, argues Bruce Perens Grammarly is using our identities without permission Alphabet Grants Sundar Pichai Stock Awards Worth Up to $686 Million Google vs Epic Games ends with Android app stores, lower fees Google Ends Its 30% App Store Fee, Welcomes Third-Party App Stores - Slashdot Xbox CEO confirms next-gen 'Project Helix' console will play PC games Motorola Partners With GrapheneOS - Slashdot Data Broker Breaches Fueled Nearly $21 Billion in Identity-Theft Losses CBP Tapped Into the Online Advertising Ecosystem To Track Peoples' Movements Proton Mail Helped FBI Unmask Anonymous 'Stop Cop City' Protester COPPA 2.0 passes the Senate again, unanimously this time South Korean Police Lose Seized Crypto By Posting Password Online Iranian drone strikes at Amazon sites raise alarms over protecting data centers Charter Gets FCC Permission To Buy Cox, Become Largest ISP In the US How Big Diaper absorbs billions of extra dollars from American parents Anne Wojcicki's Plan to Revive 23andMe: Rich Donors, Improved Tests—and Maybe Even MAHA Bundle of human neurons hooked to silicon learns to stumble through Doom 10% of Firefox crashes are caused by bitflips Seagate Just Unleashed 44TB Hard Drives Host: Leo Laporte Guests: Joey de Villa and Cory Doctorow Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: zscaler.com/security joindeleteme.com/twit promo code TWIT meter.com/twit NetSuite.com/TWIT bitwarden.com/twit

Between copyright-free AI art, government blacklists, and data brokers run amok, this episode spotlights the fierce new battles for privacy, agency, and control in our digital lives. Plus, hear Cory Doctorow break down why the AI gold rush may be headed for a colossal crash. Pentagon Officially Tells Anthropic It Is a Supply Chain Risk Trump moves to blacklist Anthropic AI from all government work If AI is a weapon, why don't we regulate it like one? Sam Altman's greed and dishonesty are finally catching up to him ChatGPT user base surges 350% in 18 months as it nears 1 billion weekly active users AI-generated art can't be copyrighted after the Supreme Court declines to review the rule Chardet dispute shows how AI will kill software licensing, argues Bruce Perens Grammarly is using our identities without permission Alphabet Grants Sundar Pichai Stock Awards Worth Up to $686 Million Google vs Epic Games ends with Android app stores, lower fees Google Ends Its 30% App Store Fee, Welcomes Third-Party App Stores - Slashdot Xbox CEO confirms next-gen 'Project Helix' console will play PC games Motorola Partners With GrapheneOS - Slashdot Data Broker Breaches Fueled Nearly $21 Billion in Identity-Theft Losses CBP Tapped Into the Online Advertising Ecosystem To Track Peoples' Movements Proton Mail Helped FBI Unmask Anonymous 'Stop Cop City' Protester COPPA 2.0 passes the Senate again, unanimously this time South Korean Police Lose Seized Crypto By Posting Password Online Iranian drone strikes at Amazon sites raise alarms over protecting data centers Charter Gets FCC Permission To Buy Cox, Become Largest ISP In the US How Big Diaper absorbs billions of extra dollars from American parents Anne Wojcicki's Plan to Revive 23andMe: Rich Donors, Improved Tests—and Maybe Even MAHA Bundle of human neurons hooked to silicon learns to stumble through Doom 10% of Firefox crashes are caused by bitflips Seagate Just Unleashed 44TB Hard Drives Host: Leo Laporte Guests: Joey de Villa and Cory Doctorow Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: zscaler.com/security joindeleteme.com/twit promo code TWIT meter.com/twit NetSuite.com/TWIT bitwarden.com/twit

Between copyright-free AI art, government blacklists, and data brokers run amok, this episode spotlights the fierce new battles for privacy, agency, and control in our digital lives. Plus, hear Cory Doctorow break down why the AI gold rush may be headed for a colossal crash. Pentagon Officially Tells Anthropic It Is a Supply Chain Risk Trump moves to blacklist Anthropic AI from all government work If AI is a weapon, why don't we regulate it like one? Sam Altman's greed and dishonesty are finally catching up to him ChatGPT user base surges 350% in 18 months as it nears 1 billion weekly active users AI-generated art can't be copyrighted after the Supreme Court declines to review the rule Chardet dispute shows how AI will kill software licensing, argues Bruce Perens Grammarly is using our identities without permission Alphabet Grants Sundar Pichai Stock Awards Worth Up to $686 Million Google vs Epic Games ends with Android app stores, lower fees Google Ends Its 30% App Store Fee, Welcomes Third-Party App Stores - Slashdot Xbox CEO confirms next-gen 'Project Helix' console will play PC games Motorola Partners With GrapheneOS - Slashdot Data Broker Breaches Fueled Nearly $21 Billion in Identity-Theft Losses CBP Tapped Into the Online Advertising Ecosystem To Track Peoples' Movements Proton Mail Helped FBI Unmask Anonymous 'Stop Cop City' Protester COPPA 2.0 passes the Senate again, unanimously this time South Korean Police Lose Seized Crypto By Posting Password Online Iranian drone strikes at Amazon sites raise alarms over protecting data centers Charter Gets FCC Permission To Buy Cox, Become Largest ISP In the US How Big Diaper absorbs billions of extra dollars from American parents Anne Wojcicki's Plan to Revive 23andMe: Rich Donors, Improved Tests—and Maybe Even MAHA Bundle of human neurons hooked to silicon learns to stumble through Doom 10% of Firefox crashes are caused by bitflips Seagate Just Unleashed 44TB Hard Drives Host: Leo Laporte Guests: Joey de Villa and Cory Doctorow Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: zscaler.com/security joindeleteme.com/twit promo code TWIT meter.com/twit NetSuite.com/TWIT bitwarden.com/twit

Between copyright-free AI art, government blacklists, and data brokers run amok, this episode spotlights the fierce new battles for privacy, agency, and control in our digital lives. Plus, hear Cory Doctorow break down why the AI gold rush may be headed for a colossal crash. Pentagon Officially Tells Anthropic It Is a Supply Chain Risk Trump moves to blacklist Anthropic AI from all government work If AI is a weapon, why don't we regulate it like one? Sam Altman's greed and dishonesty are finally catching up to him ChatGPT user base surges 350% in 18 months as it nears 1 billion weekly active users AI-generated art can't be copyrighted after the Supreme Court declines to review the rule Chardet dispute shows how AI will kill software licensing, argues Bruce Perens Grammarly is using our identities without permission Alphabet Grants Sundar Pichai Stock Awards Worth Up to $686 Million Google vs Epic Games ends with Android app stores, lower fees Google Ends Its 30% App Store Fee, Welcomes Third-Party App Stores - Slashdot Xbox CEO confirms next-gen 'Project Helix' console will play PC games Motorola Partners With GrapheneOS - Slashdot Data Broker Breaches Fueled Nearly $21 Billion in Identity-Theft Losses CBP Tapped Into the Online Advertising Ecosystem To Track Peoples' Movements Proton Mail Helped FBI Unmask Anonymous 'Stop Cop City' Protester COPPA 2.0 passes the Senate again, unanimously this time South Korean Police Lose Seized Crypto By Posting Password Online Iranian drone strikes at Amazon sites raise alarms over protecting data centers Charter Gets FCC Permission To Buy Cox, Become Largest ISP In the US How Big Diaper absorbs billions of extra dollars from American parents Anne Wojcicki's Plan to Revive 23andMe: Rich Donors, Improved Tests—and Maybe Even MAHA Bundle of human neurons hooked to silicon learns to stumble through Doom 10% of Firefox crashes are caused by bitflips Seagate Just Unleashed 44TB Hard Drives Host: Leo Laporte Guests: Joey de Villa and Cory Doctorow Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: zscaler.com/security joindeleteme.com/twit promo code TWIT meter.com/twit NetSuite.com/TWIT bitwarden.com/twit

Between copyright-free AI art, government blacklists, and data brokers run amok, this episode spotlights the fierce new battles for privacy, agency, and control in our digital lives. Plus, hear Cory Doctorow break down why the AI gold rush may be headed for a colossal crash. Pentagon Officially Tells Anthropic It Is a Supply Chain Risk Trump moves to blacklist Anthropic AI from all government work If AI is a weapon, why don't we regulate it like one? Sam Altman's greed and dishonesty are finally catching up to him ChatGPT user base surges 350% in 18 months as it nears 1 billion weekly active users AI-generated art can't be copyrighted after the Supreme Court declines to review the rule Chardet dispute shows how AI will kill software licensing, argues Bruce Perens Grammarly is using our identities without permission Alphabet Grants Sundar Pichai Stock Awards Worth Up to $686 Million Google vs Epic Games ends with Android app stores, lower fees Google Ends Its 30% App Store Fee, Welcomes Third-Party App Stores - Slashdot Xbox CEO confirms next-gen 'Project Helix' console will play PC games Motorola Partners With GrapheneOS - Slashdot Data Broker Breaches Fueled Nearly $21 Billion in Identity-Theft Losses CBP Tapped Into the Online Advertising Ecosystem To Track Peoples' Movements Proton Mail Helped FBI Unmask Anonymous 'Stop Cop City' Protester COPPA 2.0 passes the Senate again, unanimously this time South Korean Police Lose Seized Crypto By Posting Password Online Iranian drone strikes at Amazon sites raise alarms over protecting data centers Charter Gets FCC Permission To Buy Cox, Become Largest ISP In the US How Big Diaper absorbs billions of extra dollars from American parents Anne Wojcicki's Plan to Revive 23andMe: Rich Donors, Improved Tests—and Maybe Even MAHA Bundle of human neurons hooked to silicon learns to stumble through Doom 10% of Firefox crashes are caused by bitflips Seagate Just Unleashed 44TB Hard Drives Host: Leo Laporte Guests: Joey de Villa and Cory Doctorow Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: zscaler.com/security joindeleteme.com/twit promo code TWIT meter.com/twit NetSuite.com/TWIT bitwarden.com/twit

Between copyright-free AI art, government blacklists, and data brokers run amok, this episode spotlights the fierce new battles for privacy, agency, and control in our digital lives. Plus, hear Cory Doctorow break down why the AI gold rush may be headed for a colossal crash. Pentagon Officially Tells Anthropic It Is a Supply Chain Risk Trump moves to blacklist Anthropic AI from all government work If AI is a weapon, why don't we regulate it like one? Sam Altman's greed and dishonesty are finally catching up to him ChatGPT user base surges 350% in 18 months as it nears 1 billion weekly active users AI-generated art can't be copyrighted after the Supreme Court declines to review the rule Chardet dispute shows how AI will kill software licensing, argues Bruce Perens Grammarly is using our identities without permission Alphabet Grants Sundar Pichai Stock Awards Worth Up to $686 Million Google vs Epic Games ends with Android app stores, lower fees Google Ends Its 30% App Store Fee, Welcomes Third-Party App Stores - Slashdot Xbox CEO confirms next-gen 'Project Helix' console will play PC games Motorola Partners With GrapheneOS - Slashdot Data Broker Breaches Fueled Nearly $21 Billion in Identity-Theft Losses CBP Tapped Into the Online Advertising Ecosystem To Track Peoples' Movements Proton Mail Helped FBI Unmask Anonymous 'Stop Cop City' Protester COPPA 2.0 passes the Senate again, unanimously this time South Korean Police Lose Seized Crypto By Posting Password Online Iranian drone strikes at Amazon sites raise alarms over protecting data centers Charter Gets FCC Permission To Buy Cox, Become Largest ISP In the US How Big Diaper absorbs billions of extra dollars from American parents Anne Wojcicki's Plan to Revive 23andMe: Rich Donors, Improved Tests—and Maybe Even MAHA Bundle of human neurons hooked to silicon learns to stumble through Doom 10% of Firefox crashes are caused by bitflips Seagate Just Unleashed 44TB Hard Drives Host: Leo Laporte Guests: Joey de Villa and Cory Doctorow Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: zscaler.com/security joindeleteme.com/twit promo code TWIT meter.com/twit NetSuite.com/TWIT bitwarden.com/twit

Say It Brave On Campus, Episode 3 What if eating disorders aren't simply individual illnesses, but rational responses to disordered systems? In the third and final episode of our college-focused miniseries, Shannon Kopp speaks with Sophie Szew - mental health justice advocate, master's student at the Stanford Graduate School of Education, and Forbes' 30 under 30 honoree - about how her lived experience opens up a broader conversation concerning schools, healthcare, and the societal forces that shape student mental health. Sophie reveals her early experiences with learning differences and disordered eating, and how attempts to "fix" these issues hurled her into educational and medical systems that often stratify and harm young people. She masterfully flips the script by reframing eating disorders as responses to disordered societies rather than individual pathologies — challenging us to tap into our own creativity and imagine what it means to build systems that allow all of us to live more vibrant lives. Links: Sophie Szew: amstudies.stanford.edu/people/sophie-szew  Instagram: https://www.instagram.com/sophie_szew/?hl=en  Mental Note Podcast www.mentalnotepodcast.com  Pathlight Mood & Anxiety Center: www.pathlightbh.com     Eating Recovery Center: www.eatingrecoverycenter.com Free Group Support: https://www.pathlightbh.com/support-groups    Free Evaluation with a Trained Therapist:  (877) 850-7199 

John Cymbal, co-founder and chief marketing officer for Molly’s Grape & Citrus Co., explains how ditching the commodity mindset for a CPG strategy is helping the brand win over consumers.See omnystudio.com/listener for privacy information.

We're joined by Dr Paul Manktelow from Blue Cross, who shares practical, no-nonsense advice on keeping dogs safe and well through winter - from cold weather walks and sore paws to festive food dangers and hidden Christmas risks.We also discuss Camp Beagle, including a short edited excerpt from Sara's visit, and why the story matters, alongside plenty of the usual Oh My Dog nonsense, fibre optics anyone?

Five years ago, Cat Jones created a start-up to use smart tech solutions (coupled, often, with Interrail passes) to deliver tailor-made journey by rail, sea and bus across Europe.This podcast is free, as is Independent Travel's weekly newsletter. Sign up here to get it delivered to your inbox. Hosted on Acast. See acast.com/privacy for more information.

This week, we're all about dog updates, comfy clothes, and community vibes. We share Sally's recovery journey after major dental work, Scouty and Huck's commingling progress, and a deep dive into the effectiveness of gentle leaders, front-clip harnesses, and Bissell stomp pads for pet stains. Add in block party buzz and Betsy's favorite British murder mysteries, and you've got an episode you won't want to miss!

Stone Horizon Founder Henry Vila is the author of the book, ‘The Rooming House Millionaire'. Connecting his corporate expertise with his relentless determination, he is a property investor who has turned fear and uncertainty into a clear mission. Acknowledging that true wealth is not about an endless quest of money and believing that financial freedom isn't a set finish line on the road to property success, he has adeptly merged purpose with profit, and has pioneered the niche of rooming houses designed for long-term positive cash flow—all while helping address rental shortages in Australia! Hosted on Acast. See acast.com/privacy for more information.

Stone Horizon Founder Henry Vila is the author of the book, ‘The Rooming House Millionaire'. Connecting his corporate expertise with his relentless determination, he is a property investor who has turned fear and uncertainty into a clear mission. Acknowledging that true wealth is not about an endless quest of money and believing that financial freedom isn't a set finish line on the road to property success, he has adeptly merged purpose with profit, and has pioneered the niche of rooming houses designed for long-term positive cash flow—all while helping address rental shortages in Australia! Hosted on Acast. See acast.com/privacy for more information.

Monitoring the world's oceans and waterways is no simple task. 70% of the world is made up of water, and with millions of data points around the globe to sift through, human analysts cannot do the job alone. NRL's Alan Hope joins us to discuss how the agency is leveraging relationships with federal agencies and services like National Oceanic and Atmospheric Administration and the U.S. Navy to track the positions of millions of shipping vessels around the globe. Hope says that the NRL tracks over 400 million unclassified data points around the world daily, and his team is using AI tools to better identify shipping vessels — no matter where they are — that might be operated by bad actors.

Episode 134: In this episode of Critical Thinking - Bug Bounty Podcast we're joined by Diego Djurado to give us the scoop on XBOW. We cover a little about its architecture and approach to hunting, the challenges with hallucinations, and the future of AI in the BB landscape. Diego also shares some of his own hacking journey and successes in the Ambassador World cup.Follow us on twitter at: https://x.com/ctbbpodcastGot any ideas and suggestions? Feel free to send us any feedback here: info@criticalthinkingpodcast.ioShoutout to YTCracker for the awesome intro music!====== Links ======Follow your hosts Rhynorater and Rez0 on Twitter: https://x.com/Rhynoraterhttps://x.com/rez0__====== Ways to Support CTBBPodcast ======Hop on the CTBB Discord at https://ctbb.show/discord!We also do Discord subs at $25, $10, and $5 - premium subscribers get access to private masterclasses, exploits, tools, scripts, un-redacted bug reports, etc.You can also find some hacker swag at https://ctbb.show/merch!Today's Sponsor - ThreatLocker User StoreToday's Guest: https://x.com/djurado9====== This Week in Bug Bounty ======Announcement of our upcoming live hacking event at Nullcon Berlin, taking place on September 4-5Bug Bounty Village Speakers 2025Talkie Pwnii Caido showcaseCaido Masterclass – From Setup to ExploitsAccess Control vs Account Takeover: What Bug Bounty Hunters Need to Know====== Resources ======CVE-2025-49493: XML External Entity (XXE) Injection in Akamai CloudTest====== Timestamps ======(00:00:00) Introduction(00:05:56) Diego's ATO Bug(00:12:01) H1 Ambassador World Cup and work with XBOW(00:20:57) XBOW's CloudTest XXE Bug(00:49:59) Freedom, Hallucinations, & Validation(01:07:24) XBOW's Architecture(01:23:50) Humans in the Loop, Harnesses, and Xbow's Reception(01:44:21) Ambassador World Cup plans for the future

What if getting your big idea across the finish line wasn't about pitching harder, but about thinking like a storyteller… or a mastermind? In this episode of The Innovation Storytellers Show, I sit down with Ed Essey, Director of Business Value at The Microsoft Garage, to uncover the surprising mechanics behind one of the most successful innovation engines in tech. Ed isn't just helping Microsoft employees come up with bold ideas. He's teaching them how to bring those ideas to life, secure executive sponsorship, and scale them globally. With more than 20,000 projects emerging from Microsoft's annual hackathon, his work is reshaping what innovation looks like inside a giant. We discuss the Garage Growth Framework, the storytelling techniques that help innovators get to 'yes,' and why corporate innovation often needs to feel more like a heist than a business plan. Along the way, Ed shares the powerful backstories of projects like Repowering Coal, which sparked the revitalization of Three Mile Island with clean nuclear energy, and MirrorHR, a deeply personal project that's helping families reduce epileptic seizures using AI and wearables. Ed also gives us a preview of his upcoming book, The Inside Job, a heist-themed guide to innovation for intrapreneurs looking to create meaningful change in complex organizations.

Host Erin Narloch sits down with Tara McRae, the new president and managing director of PUMA North America, to unravel the intricate dance between a brand's storied past and its vibrant future. McRae, a veteran of iconic brands including Bose and Clarks, champions “true authenticity” as the bedrock of a successful brand.

Solving Poker and Diplomacy, Debating RL+Reasoning with Ilya, what's *wrong* with the System 1/2 analogy, and where Test-Time Compute hits a wallFull Video EpisodeTimestamps00:00 Intro – Diplomacy, Cicero & World Championship 02:00 Reverse Centaur: How AI Improved Noam's Human Play 05:00 Turing Test Failures in Chat: Hallucinations & Steerability 07:30 Reasoning Models & Fast vs. Slow Thinking Paradigm 11:00 System 1 vs. System 2 in Visual Tasks (GeoGuessr, Tic-Tac-Toe) 14:00 The Deep Research Existence Proof for Unverifiable Domains 17:30 Harnesses, Tool Use, and Fragility in AI Agents 21:00 The Case Against Over-Reliance on Scaffolds and Routers 24:00 Reinforcement Fine-Tuning and Long-Term Model Adaptability 28:00 Ilya's Bet on Reasoning and the O-Series Breakthrough 34:00 Noam's Dev Stack: Codex, Windsurf & AGI Moments 38:00 Building Better AI Developers: Memory, Reuse, and PR Reviews 41:00 Multi-Agent Intelligence and the “AI Civilization” Hypothesis 44:30 Implicit World Models and Theory of Mind Through Scaling 48:00 Why Self-Play Breaks Down Beyond Go and Chess 54:00 Designing Better Benchmarks for Fuzzy Tasks 57:30 The Real Limits of Test-Time Compute: Cost vs. Time 1:00:30 Data Efficiency Gaps Between Humans and LLMs 1:03:00 Training Pipeline: Pretraining, Midtraining, Posttraining 1:05:00 Games as Research Proving Grounds: Poker, MTG, Stratego 1:10:00 Closing Thoughts – Five-Year View and Open Research Directions Get full access to Latent.Space at www.latent.space/subscribe

Solving Poker and Diplomacy, Debating RL+Reasoning with Ilya, what's *wrong* with the System 1/2 analogy, and where Test-Time Compute hits a wall Timestamps 00:00 Intro – Diplomacy, Cicero & World Championship 02:00 Reverse Centaur: How AI Improved Noam's Human Play 05:00 Turing Test Failures in Chat: Hallucinations & Steerability 07:30 Reasoning Models & Fast vs. Slow Thinking Paradigm 11:00 System 1 vs. System 2 in Visual Tasks (GeoGuessr, Tic-Tac-Toe) 14:00 The Deep Research Existence Proof for Unverifiable Domains 17:30 Harnesses, Tool Use, and Fragility in AI Agents 21:00 The Case Against Over-Reliance on Scaffolds and Routers 24:00 Reinforcement Fine-Tuning and Long-Term Model Adaptability 28:00 Ilya's Bet on Reasoning and the O-Series Breakthrough 34:00 Noam's Dev Stack: Codex, Windsurf & AGI Moments 38:00 Building Better AI Developers: Memory, Reuse, and PR Reviews 41:00 Multi-Agent Intelligence and the “AI Civilization” Hypothesis 44:30 Implicit World Models and Theory of Mind Through Scaling 48:00 Why Self-Play Breaks Down Beyond Go and Chess 54:00 Designing Better Benchmarks for Fuzzy Tasks 57:30 The Real Limits of Test-Time Compute: Cost vs. Time 1:00:30 Data Efficiency Gaps Between Humans and LLMs 1:03:00 Training Pipeline: Pretraining, Midtraining, Posttraining 1:05:00 Games as Research Proving Grounds: Poker, MTG, Stratego 1:10:00 Closing Thoughts – Five-Year View and Open Research Directions Chapters 00:00:00 Intro & Guest Welcome 00:00:33 Diplomacy AI & Cicero Insights 00:03:49 AI Safety, Language Models, and Steerability 00:05:23 O Series Models: Progress and Benchmarks 00:08:53 Reasoning Paradigm: Thinking Fast and Slow in AI 00:14:02 Design Questions: Harnesses, Tools, and Test Time Compute 00:20:32 Reinforcement Fine-tuning & Model Specialization 00:21:52 The Rise of Reasoning Models at OpenAI 00:29:33 Data Efficiency in Machine Learning 00:33:21 Coding & AI: Codex, Workflows, and Developer Experience 00:41:38 Multi-Agent AI: Collaboration, Competition, and Civilization 00:45:14 Poker, Diplomacy & Exploitative vs. Optimal AI Strategy 00:52:11 World Models, Multi-Agent Learning, and Self-Play 00:58:50 Generative Media: Image & Video Models 01:00:44 Robotics: Humanoids, Iteration Speed, and Embodiment 01:04:25 Rapid Fire: Research Practices, Benchmarks, and AI Progress 01:14:19 Games, Imperfect Information, and AI Research Directions

Climate-tech food startup Arborea's proprietary BioSolar Leaf system promises to produce nutrient-dense proteins and superfoods by “industrializing photosynthesis” and using a fraction of the land, water and carbon footprint of conventional agriculture

bdullah of ProWire joins us to share his journey in building ProWire and drag racing. Support those that support us! High Performance Academy: https://hpcdmy.co/Minnoxide Use code "MINNOX" for 55% off ANY course Wiring Courses Link: https://hpcdmy.co/MinnoxideWiring Use Code "MINVIP" for $300 of the MINVIP Package Tuned By Shawn: https://www.tunedbyshawn.com Code "Minnoxide" for 5% off! MORE BIGGER Turbo T-Shirts:  https://www.minnoxide.com/products/more-bigger-t-shirt

Send us a textWelcome back, peasants. In this spicy no-ads-needed episode, the Ones Ready crew tears into the mind-numbing chaos that is the DoD's budgeting incompetence. From canceled bonuses to SkillBridge chaos and the eternal mystery of why military uniforms fit nobody, this is your front-row seat to the clown show that is Pentagon-level “planning.”Also? If you thought complaining about gear was just a “female” issue, strap in. We're about to tell you why literally everyone from PJs to SEALs has been modifying crap for decades—and no, it's not the patriarchy, it's just government contracts. Plus, the AC-130 gets its flowers, JC's got Overwatch, and somehow we talk about dental X-rays and slings made from Pelican hooks.

Defense Information Systems Agency networks are leveraging AI and sensors to boost real-time monitoring and synthetic traffic, as well as improve user experience and incident resolution. At AFCEA TechNet 2025 in Baltimore, DISA J6 Global Services Directorate Vice Director Brig. Gen. Michael Cornell discussed the impact of emerging technology on data tagging, diagnostics and interoperability of DOD systems. Ahead of his June retirement, Cornell also reflected on his proudest moments in of his decades-long career in uniform, particularly working alongside dedicated service members in operational environments.

Welcome to the new episode of my Podcast series - The Healing you Method. In this podcast, my friend Gail Donohue and I delve deeper into energy focus techniques and how they help in channelizing positive energy. We share our experiences of how we learned our words and thoughts can manifest energy intentions, boosting our mental energy. When thoughts turn monstrous, we drive inspiration from the most unlikely sources (like a bow and arrow - tune Into the podcast to find out) This uplifting podcast invites you into inspiring conversations filled with powerful stories of transformation and learning to align your energy. For more such content, follow me on: Instagram - https://www.instagram.com/healing_you_with_gloria?igsh=bzQ1cTloemtsajBp LinkedIn- https://www.linkedin.com/in/glorialybecker Website- https://glorialybeckercoaching.com Gail Donahue - https://www.gaildonohuecoaching.com Keep shining and living from your heart. #EnergyFocus, #InnerPower, #HarnessYourEnergy, #MindfulLiving, #PersonalGrowth, #EmpowermentJourney, #MeditationTechniques, #EnergyManagement, #ManifestationTechniques,#PositiveMindset

After two decades in IT, Arnab Baral made the leap into broking to transform the client experience, but he's still harnessing his obsession with tech to escalate his brokerage. In this episode of Elite Broker, host Annie Kane speaks with Arnab Baral – CEO and managing director of Cinch Loans and recipient of the Editor's  Choice Award Vic/TAS at the 2025 Better Business Awards – to find out how he's building Cinch Loans with technology, the principles that guide his team, and the lessons new brokers need to hear. Tune in to hear: Why he left tech to start a career in broking. The tools and tech he uses to scale his business (without losing human touch). Why “start slow, but start deep” is his top advice for new brokers. And much more!

In this episode, I discuss how Angel Studios harnesses the power of viewer feedback to achieve the highest customer approval ratings of any film studio.

In this episode of The Daily Windup, I interview Jackson Dalton, the president and owner of Black Box Safety, a distribution company specializing in healthcare products. Jackson shares his story, starting from his time in the Marine Corps and a career-ending injury that led him to pursue a mission of preventing workplace injuries. He discusses his entry into the safety industry, selling safety harnesses and eventually transitioning to the field of health and safety management. Jackson explains how his passion for health and safety, combined with his interest in sales and marketing, inspired him to start his own business. He describes the challenges of forming relationships with manufacturers as a distributor and the importance of joining industry associations like the Healthcare Industry Distributors Association (Haida) to connect with major manufacturers. Jackson emphasizes the significance of being a diverse supplier and a service-disabled veteran-owned small business, leveraging those advantages to grow his company.

In this power-packed Safety Roundtable edition of Safety Corner, we're joined by Eric Huard, Andrea Martin, and Henry Gouthro from White Cap for a deep dive into some of the most critical topics in job site safety today.

In this episode, Eloise Goulder, head of J.P. Morgan's Data Assets and Alpha Group and James Benford, chief data officer at the Bank of England, discuss the potential for data and AI to transform decision-making both at the Bank of England and across the finance industry more widely. They also discuss the impact of generative AI on market efficiency and financial stability, the balance between the use of AI and human judgement as well as the ethical considerations shaping the future of financial services.    This episode was recorded on March 19, 2025.   Shownotes:  To learn more about James Benford's role at the Bank of England: James Benford | Bank of England Further information on the Bank of England's Data and Analytics Strategy: The Bank's data and analytics strategy: a three-year roadmap | Bank of England   Disclaimer: The views expressed in this podcast may not necessarily reflect the views of J.P. Morgan Chase & Co and its affiliates (together “J.P. Morgan”), they are not the product of J.P. Morgan's Research Department and do not constitute a recommendation, advice, or an offer or a solicitation to buy or sell any security or financial instrument.  This podcast is intended for institutional and professional investors only and is not intended for retail investor use, it is provided for information purposes only. Referenced products and services in this podcast may not be suitable for you and may not be available in all jurisdictions.  J.P. Morgan may make markets and trade as principal in securities and other asset classes and financial products that may have been discussed.  For additional disclaimers and regulatory disclosures, please visit: www.jpmorgan.com/disclosures/salesandtradingdisclaimer. For the avoidance of doubt, opinions expressed by any external speakers are the personal views of those speakers and do not represent the views of J.P. Morgan. © 2025 JPMorgan Chase & Company. All rights reserved.

In this packed episode of Safety Corner, Phill kicks things off by sharing insights from a recent training day he led, bringing real-world safety issues straight to the mic. This episode gets into the nitty-gritty of construction safety, while also navigating the bigger picture of where the industry is heading.We cover:

First: Settling the score. Using threats, retribution and the levers of presidential power, Donald Trump unleashes the federal government on his critics. While Elon Musk pushes the limits. What guardrails remain? Plus: Revolt. Democrats itch for a fight. My new reporting on House Democrats' next moves. Is this their tea party moment? And: Rolling over? New watchdog concerns about Trump putting his own spin on the White House Easter egg roll. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Vidcast:  https://www.instagram.com/reel/DHeXk0NNGcd/These Black Diamond harnesses degrade over time, fail to support climbers, and create serious injuries or death.About 1,580 harnesses were sold in the US and 130 were sold in Canada at Liberty Mountain, REI, and at other specialty outdoor stores nationwide as well as online at blackdiamondequipment.com, backcountry.com, and evo.com from January 2018 through February 2025.Stop using these recalled harnesses and contact Black Diamond at 1-866-306-0865 Or via the email VisionHarnessRecall@bdel.com for a full refund in the form of a credit card reimbursement or a one-time-use $200 store credit for purchases at Black Diamond stores or online. The company will provide a pre-paid shipping label for returns.https://www.cpsc.gov/Recalls/2025/Black-Diamond-Equipment-Recalls-BD-Vision-Climbing-Harnesses-Due-to-Fall-Hazard-Risk-of-Serious-Injury-and-Death#blackdiamond #climbing #harness #fail #injuries #death #recall

In this episode of the Brief Talk podcast, host Stevie interviews Tim from UMB Blog and Podcast, exploring their long-standing friendship and Tim's journey into the world of men's underwear. The conversation delves into Tim's early experiences with underwear, the evolution of men's underwear fashion, and the impact of social media on the community. Tim shares insights on trends, personal stories, and the creative process behind his blog and podcast, emphasizing the importance of authenticity and self-expression in fashion. In this conversation, the hosts explore the evolving landscape of men's underwear, discussing the intersection of kink and fashion, the influence of social media, and the importance of inclusivity in sizing and representation. They reflect on how younger generations are reshaping perceptions of masculinity and body image through their underwear choices, while also highlighting trends that have surprised them in the industry. The conversation culminates in a discussion about the underrated bikini and its potential resurgence in popularity. In this engaging conversation, Stevie and Unb Tim explore the evolving landscape of men's underwear, touching on the resurgence of string bikinis, the cultural significance of underwear in gay culture, and the influence of pop culture on men's fashion choices. They share personal anecdotes, discuss global underwear trends, and highlight the importance of confidence and self-expression through fashion. The conversation is filled with humor and insights, making it a lively exploration of a topic often overlooked in mainstream discussions. Takeaways Stevie and Tim have known each other for over seven years. Tim's first experience with bikinis sparked his passion for men's underwear. The blog started as a creative outlet during a tough economic time. Tim's blog has evolved from a personal project to a community hub. The rise of thongs and diverse styles in men's underwear is notable. Social media has changed the landscape of men's underwear marketing. Tim emphasizes the importance of wearing what you love, regardless of trends. The podcast and blog are interconnected, with ideas flowing between them. Tim uses technology like Chat GPT to enhance his writing process. Kink and diverse expressions of masculinity are becoming more accepted in men's underwear. Harnesses have become a staple in gay nightlife. Underwear is increasingly seen as a fashion statement. Smaller brands are pushing the boundaries of underwear design. Men are becoming more experimental with their underwear choices. Social media is changing how men view and wear underwear. Inclusivity in sizing is still a work in progress. Younger generations are more open about their underwear choices. Body image plays a significant role in underwear selection. There is a growing market for diverse underwear styles. Bikinis are making a comeback in men's fashion. String bikinis are experiencing a significant resurgence. Underwear has a profound cultural impact, especially in gay culture. The AIDS crisis shaped the way gay men view sexuality and confidence. Underwear can be a source of empowerment and self-expression. Australia is a leading country in innovative men's underwear designs. Magic Mike played a crucial role in normalizing men's thongs. Pop culture moments can significantly influence fashion trends. Neil Patrick Harris's endorsement of a brand highlights the intersection of celebrity and fashion. Tim Tebow's role as a spokesperson raised eyebrows in the underwear industry. The conversation emphasizes the importance of feeling sexy and confident in one's clothing. Titles Kink Meets Fashion: The New Underwear Revolution Underwear Trends: From Necessity to Fashion Statement Social Media's Role in Shaping Underwear Choices Inclusivity in Men's Underwear: Progress and Pitfalls

Show NotesThink back to how you made decisions growing up. Whether it was the clothes you wore, where you hung out, who your friends were, and even how you coped with the struggles you faced—who did you confide in?  Was it a friend, a sibling, a parent, a mentor or other trusted adult? It's likely that peer influence—or how much your personal circle can affect what you do and think— had a big impact.  Peer influence has the power to shape nearly every decision a young person makes, and social media often plays an outsized role in how those everyday conversations occur. Approximately 95% of youth ages 13 to 17 report using a social media platform—according to recent data reported by the Office of the Surgeon General.  Social media can also help researchers understand the context of certain health-related behaviors by offering real-time insights into trends, interactions and peer influences within online communities.  For example, it can shed light on the challenges faced by vulnerable groups, such as youth experiencing homelessness, who may turn to digital platforms for support, connection, or expression of their struggles.In this episode, Jordyn speaks with Associate Professor of Social Work Anamika Barman-Adhikari about how the social networks of young people experiencing homelessness can influence behaviors like substance use.Anamika Barman-Adhikari is an associate professor of social work at the University of Denver. Her experiences in research, policy and clinical services have collectively helped her to formulate an academic agenda, which is devoted to the prevention of HIV and substance use among high-risk youth and other vulnerable populations. Barman-Adhikari's research interests are broadly centered on understanding the social-contextual determinants of risk and protective behaviors among vulnerable populations, such as unhoused and minority youth.More InformationSubstance use and sentiment and topical tendencies: a study using social media conversations of youth experiencing homelessnessHarnessing Social Media to Identify Homeless Youth At-Risk of Substance UseIdentifying Marijuana Use Behaviors Among Youth Experiencing Homelessness Using a Machine Learning–Based Framework: Development and Evaluation StudySocial Media and Youth Mental Health – The U.S. Surgeon General's AdvisoryKey Substance Use and Mental Health Indicators in the United States: Results from the 2023 National Survey on Drug Use and Health - Substance Abuse and Mental Health Services Administration (SAMHSA)

Our latest episode in our In Case You Missed It (ICYMI) series takes us to New York, where the New York Power Authority (NYPA) is streamlining its maintenance program with AI technology to detect anomalies and prioritize tasks in the field.  This article, which was originally published in the March 2025 issue of T&D World magazine, explores how the utility is using drones and cameras to capture visual data, which is then analyzed by AI-driven computer vision technology. This technology expedites inspections by analyzing vast numbers of images quickly to detect issues, said Atena Darvishi, R&D director for NYPA. To learn more about the technology, stay tuned to the T&D World website to read the full article online. You can also check out another narrated story in our ICYMI series about NYPA: "Line Monitoring, New York Style" on our Line Life Podcast platform. Also, if your utility is using technology in an innovative way, we want to hear about it. Email Field Editor Amy Fischbach with your story of how your utility is improving safety and productivity in the field through the use of technology. Thanks for listening and subscribing to the Line Life Podcast!

Scott Bowers of Ron Francis Wiring: Chassis Harnesses, Engine Swaps, Trade Shows to Hit, and Racing for Marketing (and FUN)! The post TMCP #602: Scott Bowers of Ron Francis Wiring: Chassis Harnesses, Engine Swaps, Trade Shows to Hit, and Racing for Marketing (and FUN)! first appeared on The Muscle Car Place.

Looking for the best bino harness for your next hunt? In this episode, KJ breaks down the top binocular harnesses on the market, comparing comfort, accessibility, and durability in real hunting conditions. Whether you're trekking deep into the backcountry or setting up for a long glassing session, find out which bino harness keeps your optics protected and ready when you need them.This Gun Talk Hunt is brought to you by Silencer Central, Range Ready Studios, and Ruger.What You'll Learn:Best bino harnesses for hunting and tactical useKey features: comfort, accessibility, and protectionHow to choose the right binocular harness for your needsReal-world field testing and expert recommendationsDon't forget to like, share, & subscribe for more gear reviews & hunting tips!#HuntingGear #BinoHarness #BinocularHarness #HuntingOptics #BackcountryHunting #GearReview #TacticalGear #WildlifePhotography #OutdoorAdventure #HuntingEssentialsFor more content, subscribe to Gun Talk at guntalktv.com, on Gun Talk's Roku, Apple TV, iOS app, Android app, or find Gun Talk on YouTube, Rumble, Facebook, Instagram, X and guntalk.com. Listen to all Gun Talk Podcasts with Spreaker, iHeart, Apple Podcasts, Spotify or wherever you find podcasts.Copyright ©2025 Freefire Media, LLCGun Talk Hunt 02.01.25

  333 episodes   Driving for Your Success Sheevaun Moran

Live from his car in Cairo, 3x Olympic Egyptian swimmer Marwan El Kamash joins the pod to discuss his journey, his experiences as a competitive swimmer, and his aspirations for Egyptian swimming. Become a part of the⁠⁠⁠⁠⁠⁠ Sprint Revolution⁠⁠⁠⁠⁠⁠! Get access to our growing collection of workouts, seminars, and exclusive content. New items added every month. ✓ 1 Month of Sprint Workouts (24 New Workouts Each Month) ✓ Online Educational Seminar ✓ Live Q & A with Brett Once a Month ⁠⁠⁠⁠⁠⁠SWIMNERD: Pace Clocks, Timing Systems, Starters, Harnesses, Touchpads, Scoreboards! ⁠⁠⁠⁠⁠⁠INTL SWIMMING HALL OF FAME:⁠⁠⁠⁠⁠⁠ Keep our sport's history alive by joining the 1 in 1000 Club! ⁠⁠⁠⁠⁠⁠Subscribe to our YouTube Channel!⁠⁠⁠⁠⁠ #swimming #swimmer #egypt

Valerie Obaze.  R&R Skincare is a premier, woman-owned beauty brand dedicated to crafting high-quality, cruelty-free skincare products that harness the power of Africa's natural resources.   1. Overview of R&R Skincare as a woman-owned, cruelty-free beauty brand founded in 2010 in Ghana. Emphasis on the brand's commitment to ethical sourcing and sustainability. 2. Valerie's background as an entrepreneur, philanthropist, and mother. 3. The inspiration behind founding R&R Skincare, highlighting the personal connection to her mission. + Valerie's clear vision is to establish R&R as one of Africa's leading beauty brands using indigenous African ingredients, such as Shea and Baobab, and their healing properties. 4. How R&R Skincare empowers African women through job creation and fair trade practices. 5. The role of African culture and heritage in shaping the brand's identity and product offerings. 6. R&R Skincare prioritizes sustainability in its supply chain and product formulations.The brand's approach to creating luxurious products that are environmentally friendly. 7. Overview of R&R Skincare's plans of expansion into the U.S. market and its significance for the brand, along with future plans for engaging with diverse audiences while showcasing African beauty secrets. 8. Valerie's commitment to philanthropy and community support through R&R Skincare. 9. Reflections on balancing entrepreneurship and motherhood. 10. (Closing Thoughts) Invitation for listeners to connect with R&R Skincare and explore its product offerings. Encouragement to support ethical and sustainable beauty brands that celebrate African heritage. #BEST #STRAW #SHMS  Support the show: https://www.steveharveyfm.com/See omnystudio.com/listener for privacy information.

Valerie Obaze.  R&R Skincare is a premier, woman-owned beauty brand dedicated to crafting high-quality, cruelty-free skincare products that harness the power of Africa's natural resources.   1. Overview of R&R Skincare as a woman-owned, cruelty-free beauty brand founded in 2010 in Ghana. Emphasis on the brand's commitment to ethical sourcing and sustainability. 2. Valerie's background as an entrepreneur, philanthropist, and mother. 3. The inspiration behind founding R&R Skincare, highlighting the personal connection to her mission. + Valerie's clear vision is to establish R&R as one of Africa's leading beauty brands using indigenous African ingredients, such as Shea and Baobab, and their healing properties. 4. How R&R Skincare empowers African women through job creation and fair trade practices. 5. The role of African culture and heritage in shaping the brand's identity and product offerings. 6. R&R Skincare prioritizes sustainability in its supply chain and product formulations.The brand's approach to creating luxurious products that are environmentally friendly. 7. Overview of R&R Skincare's plans of expansion into the U.S. market and its significance for the brand, along with future plans for engaging with diverse audiences while showcasing African beauty secrets. 8. Valerie's commitment to philanthropy and community support through R&R Skincare. 9. Reflections on balancing entrepreneurship and motherhood. 10. (Closing Thoughts) Invitation for listeners to connect with R&R Skincare and explore its product offerings. Encouragement to support ethical and sustainable beauty brands that celebrate African heritage. #BEST #STRAW #SHMS  See omnystudio.com/listener for privacy information.

In this week's episode, we spotlight the beautiful Silver Penciled Plymouth Rock chicken and we discuss Fall tasks that will help you get ready for cold weather. Our recipe this week is Pumpkin Rosemary Drop Biscuits, and we share some retail therapy with chicken harnesses and leads.Grubbly Farms - click here for our affiliate link.https://www.anrdoezrs.net/click-100963304-15546963Pre and Probiotic and Vitamin and Electrolyte Powders!Nutrena World Poultry Feedshttps://nutrenaworld.com/count-on-a-difference/?utm_source=coffee%20with%20the%20chicken%20ladies&utm_medium=audio&utm_campaign=poultry_evergreen_podcastBright and Early Coffee - use code CWTCL15 for 15% off of any bagged coffee. K Cups always ship free!https://brightandearlycoffee.com/Chicken Luv Box -  use CWTCL50 for 50% off your first box of any multi-month subscription!https://www.chickenluv.com/Nestera UShttps://nestera.us/cwtclUse our affiliate link above for 5% off your purchase!McMurray Silver Penciled Plymouth Rock Chickenshttps://www.mcmurrayhatchery.com/silver_penciled_rocks.htmlBreed Spotlight is sponsored by Murray McMurray Hatcheryhttps://www.mcmurrayhatchery.com/Metzer Farms Waterfowlhttps://www.metzerfarms.com/Roosty'shttps://amzn.to/3yMDJPumpkin Rosemary Drop Biscuitshttps://coffeewiththechickenladies.com/farm-fresh-egg-recipes/pumpkin-rosemary-drop-biscuits/CWTCL Websitehttps://coffeewiththechickenladies.com/CWTCL Etsy Shophttps://www.etsy.com/shop/CoffeeWChickenLadiesAs Amazon Influencers, we may receive a small commission from the sale of some items at no additional cost to consumers.CWTCL Amazon Recommendationshttps://www.amazon.com/shop/coffeewiththechickenladies Support the show

Valerie Obaze.  R&R Skincare is a premier, woman-owned beauty brand dedicated to crafting high-quality, cruelty-free skincare products that harness the power of Africa's natural resources.   1. Overview of R&R Skincare as a woman-owned, cruelty-free beauty brand founded in 2010 in Ghana. Emphasis on the brand's commitment to ethical sourcing and sustainability. 2. Valerie's background as an entrepreneur, philanthropist, and mother. 3. The inspiration behind founding R&R Skincare, highlighting the personal connection to her mission. + Valerie's clear vision is to establish R&R as one of Africa's leading beauty brands using indigenous African ingredients, such as Shea and Baobab, and their healing properties. 4. How R&R Skincare empowers African women through job creation and fair trade practices. 5. The role of African culture and heritage in shaping the brand's identity and product offerings. 6. R&R Skincare prioritizes sustainability in its supply chain and product formulations.The brand's approach to creating luxurious products that are environmentally friendly. 7. Overview of R&R Skincare's plans of expansion into the U.S. market and its significance for the brand, along with future plans for engaging with diverse audiences while showcasing African beauty secrets. 8. Valerie's commitment to philanthropy and community support through R&R Skincare. 9. Reflections on balancing entrepreneurship and motherhood. 10. (Closing Thoughts) Invitation for listeners to connect with R&R Skincare and explore its product offerings. Encouragement to support ethical and sustainable beauty brands that celebrate African heritage. #BEST #STRAW #SHMS  See omnystudio.com/listener for privacy information.

On this episode of Say Something Interesting Brent, Megan and special guest Jeremiah discuss last weekend's talk at EastLake. Other topics include ancient regrettable decisions, Jordan on VCR, and living with a genuine source of hope.

In this episode, Phil discusses the concept of power in the context of challenge courses and ropes courses. He identifies six areas where facilitators may unintentionally take power away from participants and provides solutions to empower them. The areas include harnesses, knots, belaying, the challenge itself, support, and lowering. Phil emphasizes the importance of giving participants choice and control, ultimately honoring empowerment.   Takeaways Facilitators may unintentionally take power away from participants in challenge courses and ropes courses. Empowering participants involves giving them choice and control in various aspects of the experience. Teaching participants how to put on their own harnesses, tie their own knots, and belay can enhance their sense of power and control. Contact the podcast; email - podcast@high5adventure.org instagram - @verticalplaypen Music and Sound Effects - epidemicsound.com

Welcome back to another Happy Hour, Besties! We're sure as hell glad it's Friday. In this Happy Hour: Rabbit, rabbit Bestie vacations Jamie, Ashley and Megan Thee Stallion Gameshows Your To-Do List: Grab merch, submit Questions & Comments, and make sure that you're the first to know about our In-Person Meetings (events!) at https://www.hrbesties.com. Follow your Besties across the socials and check out our resumes here: https://www.hrbesties.com/about.  We look forward to seeing you in our next meeting - don't worry, we'll have a hard stop! Yours in Business + Bullsh*t,  Leigh, Jamie & Ashley Follow Bestie Leigh! https://www.tiktok.com/@hrmanifesto https://www.instagram.com/hrmanifesto https://www.hrmanifesto.com Follow Bestie Ashley! https://www.tiktok.com/@managermethod  https://www.instagram.com/managermethod https://www.linkedin.com/in/ashleyherd/ https://managermethod.com Follow Bestie Jamie! https://www.millennialmisery.com/ Humorous Resources: Instagram • YouTube • Threads • Facebook • X Millennial Misery: Instagram • Threads • Facebook • X Horrendous HR: Instagram • Threads • Facebook Learn more about your ad choices. Visit podcastchoices.com/adchoices

As the host of this year's G-20 meetings and next year's COP30 climate conference, Brazil is in the spotlight. Ranked sixth globally for energy transition investment in 2023, and third for both wind and solar capacity additions, Brazil is aiming to use its vast array of natural resources to ensure its future as a clean energy powerhouse. On today's show, Dana is joined by BloombergNEF's head of Latin America research, James Ellis, and analyst, Vinicius Nunes. They discuss Brazil's potential for green hydrogen production, growing electric vehicle (EV) adoption in a market that is already dominated by vehicles powered by biofuels, and the role of the Amazon forest in voluntary carbon markets. Complementary BNEF research on the trends driving the transition to a lower-carbon economy can be found at BNEF on the Bloomberg Terminal or on bnef.com Links to research notes from this episode: Latin America Market Outlook 1H 2024: Brazil Drives Growth - https://www.bnef.com/insights/33999See omnystudio.com/listener for privacy information.

Five Minute Fix - Bino Harnesses - The Love Hate Relationship  In todays episode of the Five Minute Fix we discuss the binocular harness and the love hate relationship for the whitetail hunter. Is it a great piece of gear ? Yes. Can it be cumbersome as hell? Yes. What is your take? https://www.spartanforge.ai - save 25% with code bowhunter   https://www.latitudeoutdoors.com https://www.zingerfletches.com https://huntworthgear.com/ https://www.lucky-buck.com https://www.bigshottargets.com  https://genesis3dprinting.com https://vitalizeseed.com https://waypointtv.com/#podcast  If you like what we are doing and want to see more, please consider checking out our Patreon account. Any funds generated through our Patreon account are funneled right back into the podcast to help fund equipment, hosting fees and gear for reviews and giveaways and as always future hunts.  http://bit.ly/BHCPatreon   http://bit.ly/BowhunterChroniclesPodcas https://huntworthgear.com/?utm_source=Pro+Staff&utm_medium=Direct+Link&utm_campaign=Preseason+Sale Learn more about your ad choices. Visit megaphone.fm/adchoices