Podcasts about layers

Episode: 1539 In which a thin layer of fluid determines whether an airplane flies.  Today, a wind blows by us.

The Tragically Hip On Shuffle - Live Stream: 'We Want To Be It'Hey, it's jD here.Every once in a while, the shuffle lands on a song that feels like it found you on purpose. This was one of those weeks.'We Want To Be It' - track four off "Now For Plan A" - doesn't get talked about the way'Bobcaygeon' does. It doesn't get the bar rock reverence of the early records. But spend a week with it, really spend a week with it, and something starts to happen. Layers. Lots of them.This week, jD is joined by Steph from Winnipeg, Andrew from Tampa, and Tyler from Etobicoke for what turned into one of the more surprising discussions the show has had. The song is three minutes and twenty-nine seconds. The conversation ran nearly an hour. That ratio should tell you everything.We dig into what "Now For Plan A" actually is as a record - the shortest album in The Hip's catalog, a band quietly fracturing while somehow still playing out of their minds, produced by Gavin Brown under conditions that, as Tyler points out, sound a lot like band therapy. Andrew came in with ten shows under his belt from that tour. Tyler revisited the record for the first time in years and kept finding new things. Steph brought the kind of insight that makes you stop mid-sentence and say yes, exactly that.And then there's the drip, drip, drip.Is the song about Laura Downie? About the band itself? About wanting to dissolve into the music instead of having to manufacture it over and over? Tyler brings a genuinely hot take - sourced from an Alan Gregg interview on Toronto Mike's podcast and Michael Barclay's book - that reframes the whole thing. Andrew adds the Alan Arkin connection Gord himself referenced in early live intros of the song. And jD talks about the three layers of crust this song has developed for him personally over the years.It's a choose your own adventure lyric written by a guy who never gave you the map. That's the feature. Big thanks to Steph, Andrew, and Tyler for bringing the goods on this one. Next week, we hit shuffle again - no idea what's coming, and that's exactly the point.From Our Guests"I'm in season three of Pocket Full of Mojo - wherever you enjoy your podcasts. I help recovering people pleasers like me remember how to get out of our own way and figure out that there's way fewer rules in this life than we're told."- Steph from Winnipeg | Pocket Full of Mojo Podcast"If you can't make it out to the event, get on the page and get into the GoFundMe for Sarah. And you don't have to be in Toronto - you can always fly in."- Andrew from Tampa"I'll be appearing on Toronto Mike's podcast in early April to do a Q1 recap. Other than that, just keeping my head down and trying to stay out of trouble."- Tyler from Etobicoke | Toronto Mike'd Podcast• Subscribe, share, and leave a review if this landed for you.• Find us on Facebook: facebook.com/groups/tthpods• Instagram: @tthpods• YouTube: youtube.com/@tthpods• Email: tthpodcastseries@gmail.com#TheTragicallyHip #TheHip #TTHOnShuffle #NowForPlanA #GordDownie #TragicallyHipSupport this podcast at — https://redcircle.com/tthtop40/donationsAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

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Their greatest foe (so far) vanquished, the Unicorn Knights turn their attention to the portal scarring the Beastlands' first layer. With the aid of their portal expert, can they bring their knowledge to bare and close the entrance to Brux?---Our show contains fantasy violence (and the occasional foul language), treat us like a PG-13 program!---Dani enamel pins available now! Order yours while supplies last:https://crowdmade.com/collections/rolling-with-difficultyRolling with Difficulty Patreon:patreon.com/rollingwithdifficultyRolling with Difficulty Discord:https://discord.gg/8c9e4xhUKyMerch:https://crowdmade.com/collections/rolling-with-difficultyContact the Pod:rollwithdifficulty@gmail.comRSS Feed: https://rollingwithdifficultypod.transistor.fm/Youtube: https://www.youtube.com/c/RollingwithDifficultyInstagram: @rollwithdifficultyBlueSky: @rollwithdifficulty.bsky.socialTik Tok: @rollwithdifficultyCast:Dungeon Master - Austin FunkBlueSky: @atthefunk.bsky.socialThe Set's Journal of Faerun: https://www.dmsguild.com/product/345568/The-Sets-Journal-of-Faerun-Vol-1?term=the+setKatya -  Sophia RicciardiBlueSky: @sophiekay.bsky.socialInstagram: @_sophie_kayMoviestruck: https://moviestruck.transistor.fm/Patreon: https://www.patreon.com/moviestruckTrystine - OSP RedBlueSky: @overlysarcastic.bsky.socialInstagram: @overly.sarcastic.productionsOverly Sarcastic Productions: https://www.youtube.com/c/OverlySarcasticProductionsChannel/Kireek - NoirBlueSky: @noirgalaxies.bsky.socialInstagram: @noirgalaxiesGarou -  WallyBlueSky: @wallydraws.bsky.socialInstagram: @stuckinspacePortfolio: https://ghost_astronaut.artstation.com/Want to send us snail mail? Use this Address:Austin Funk1314 5th AvePO Box # 1163Bay Shore NY 11706Character Art by @stuckinspaceBackground Art by @tanukimi.sMusic by: Dominic Ricciardihttps://soundcloud.com/dominicricciardimusicFeatured Tracks:Hunting Party ThemeWhen Will the Beast Land?Big Downtime ★ Support this podcast on Patreon ★

A true can't-miss episode for these historic times. Enjoy! The wisdom and fun of Ira and Joe is presented by Bill Currie Ford. Click play above or listen at Apple Podcasts or Podbean.com. Many other platforms, too, including iHeartRadio. A family business since […] The post Ira Kaufman Addresses All Layers Of The Mike Evans Departure (The Obvious & The Hidden), New Signings, Todd Bowles Bashing, And Much More appeared first on JoeBucsFan.com.

How is a legacy preserved, and how is someone forgotten? Determined to make a final name for himself, Irving Langmuir ventures into science that even he might classify as pathological wishful thinking, while Katharine continues her work as the diligent experimenter. But her contributions faded from both the company's and the public's memory. We go to visit her, to say good-bye – and we look at the wisdom she imparted to the next generation of ​​inquiring minds.  Learn about your ad choices: dovetail.prx.org/ad-choices

In this part one episode of The Poultry Nutrition Blackbelt Podcast, Dr. Juan Espino, an animal nutritionist in Guatemala, discusses nutritional strategies for extended lay cycles up to 100 weeks. He explains phase feeding, calcium management, body weight control, amino acid balance, and antioxidant support to sustain shell quality and persistency. Learn practical approaches to improve long-term layer performance. Listen now on all major platforms!“Today's layers show higher feed intake and larger body size compared to birds from 20 years ago.”Meet the guest: Dr. Juan Espino earned his veterinary degree and a Master's in Animal Production and Nutrition from Universidad de San Carlos de Guatemala. He specializes in monogastric nutrition and serves as Nutrition Manager and New Projects Manager at Cia Agroindustrial Espiga S.A. His work focuses on nutrient optimization, amino acid balance, and practical strategies to improve poultry production efficiency. Liked this one? Don't stop now — Here's what we think you'll love!What you'll learn:(00:00) Highlight(01:21) Introduction(02:40) Extended lay challenge(05:17) Higher feed intake(07:03) Shell quality focus(09:22) Pre lay phase(13:18) Arginine strategy(15:02) Final QuestionsThe Poultry Nutrition Blackbelt Podcast is trusted and supported by innovative companies like:* Kemin* Fortiva- Poultry Science Association- Anitox- DietForge

Indy cars versus F1. Former NFL player, Cam Newton, believes the value of a woman is lowered the more children they have. Rover believes people who wear multiple layers of clothes are insane.  

Indy cars versus F1. Former NFL player, Cam Newton, believes the value of a woman is lowered the more children they have. Rover believes people who wear multiple layers of clothes are insane.  See omnystudio.com/listener for privacy information.

Join Kyle, Nader, Vibhu, and swyx live at NVIDIA GTC next week!Now that AIE Europe tix are ~sold out, our attention turns to Miami and World's Fair!The definitive AI Accelerator chip company has more than 10xed this AI Summer:And is now a $4.4 trillion megacorp… that is somehow still moving like a startup. We are blessed to have a unique relationship with our first ever NVIDIA guests: Kyle Kranen who gave a great inference keynote at the first World's Fair and is one of the leading architects of NVIDIA Dynamo (a Datacenter scale inference framework supporting SGLang, TRT-LLM, vLLM), and Nader Khalil, a friend of swyx from our days in Celo in The Arena, who has been drawing developers at GTC since before they were even a glimmer in the eye of NVIDIA:Nader discusses how NVIDIA Brev has drastically reduced the barriers to entry for developers to get a top of the line GPU up and running, and Kyle explains NVIDIA Dynamo as a data center scale inference engine that optimizes serving by scaling out, leveraging techniques like prefill/decode disaggregation, scheduling, and Kubernetes-based orchestration, framed around cost, latency, and quality tradeoffs. We also dive into Jensen's “SOL” (Speed of Light) first-principles urgency concept, long-context limits and model/hardware co-design, internal model APIs (https://build.nvidia.com), and upcoming Dynamo and agent sessions at GTC.Full Video pod on YouTubeTimestamps00:00 Agent Security Basics00:39 Podcast Welcome and Guests07:19 Acquisition and DevEx Shift13:48 SOL Culture and Dynamo Setup27:38 Why Scale Out Wins29:02 Scale Up Limits Explained30:24 From Laptop to Multi Node33:07 Cost Quality Latency Tradeoffs38:42 Disaggregation Prefill vs Decode41:05 Kubernetes Scaling with Grove43:20 Context Length and Co Design57:34 Security Meets Agents58:01 Agent Permissions Model59:10 Build Nvidia Inference Gateway01:01:52 Hackathons And Autonomy Dreams01:10:26 Local GPUs And Scaling Inference01:15:31 Long Running Agents And SF ReflectionsTranscriptAgent Security BasicsNader: Agents can do three things. They can access your files, they can access the internet, and then now they can write custom code and execute it. You literally only let an agent do two of those three things. If you can access your files and you can write custom code, you don't want internet access because that's one to see full vulnerability, right?If you have access to internet and your file system, you should know the full scope of what that agent's capable of doing. Otherwise, now we can get injected or something that can happen. And so that's a lot of what we've been thinking about is like, you know, how do we both enable this because it's clearly the future.But then also, you know, what, what are these enforcement points that we can start to like protect?swyx: All right.Podcast Welcome and Guestsswyx: Welcome to the Lean Space podcast in the Chromo studio. Welcome to all the guests here. Uh, we are back with our guest host Viu. Welcome. Good to have you back. And our friends, uh, Netter and Kyle from Nvidia. Welcome.Kyle: Yeah, thanks for having us.swyx: Yeah, thank you. Actually, I don't even know your titles.Uh, I know you're like architect something of Dynamo.Kyle: Yeah. I, I'm one of the engineering leaders [00:01:00] and a architects of Dynamo.swyx: And you're director of something and developers, developer tech.Nader: Yeah.swyx: You're the developers, developers, developers guy at nvidia,Nader: open source agent marketing, brev,swyx: and likeNader: Devrel tools and stuff.swyx: Yeah. BeenNader: the focus.swyx: And we're, we're kind of recording this ahead of Nvidia, GTC, which is coming to town, uh, again, uh, or taking over town, uh, which, uh, which we'll all be at. Um, and we'll talk a little bit about your sessions and stuff. Yeah.Nader: We're super excited for it.GTC Booth Stunt Storiesswyx: One of my favorite memories for Nader, like you always do like marketing stunts and like while you were at Rev, you like had this surfboard that you like, went down to GTC with and like, NA Nvidia apparently, like did so much that they bought you.Like what, what was that like? What was that?Nader: Yeah. Yeah, we, we, um. Our logo was a chaka. We, we, uh, we were always just kind of like trying to keep true to who we were. I think, you know, some stuff, startups, you're like trying to pretend that you're a bigger, more mature company than you are. And it was actually Evan Conrad from SF Compute who was just like, you guys are like previousswyx: guest.Yeah.Nader: Amazing. Oh, really? Amazing. Yeah. He was just like, guys, you're two dudes in the room. Why are you [00:02:00] pretending that you're not? Uh, and so then we were like, okay, let's make the logo a shaka. We brought surfboards to our booth to GTC and the energy was great. Yeah. Some palm trees too. They,Kyle: they actually poked out over like the, the walls so you could, you could see the bread booth.Oh, that's so funny. AndNader: no one else,Kyle: just from very far away.Nader: Oh, so you remember it backKyle: then? Yeah I remember it pre-acquisition. I was like, oh, those guys look cool,Nader: dude. That makes sense. ‘cause uh, we, so we signed up really last minute, and so we had the last booth. It was all the way in the corner. And so I was, I was worried that no one was gonna come.So that's why we had like the palm trees. We really came in with the surfboards. We even had one of our investors bring her dog and then she was just like walking the dog around to try to like, bring energy towards our booth. Yeah.swyx: Steph.Kyle: Yeah. Yeah, she's the best,swyx: you know, as a conference organizer, I love that.Right? Like, it's like everyone who sponsors a conference comes, does their booth. They're like, we are changing the future of ai or something, some generic b******t and like, no, like actually try to stand out, make it fun, right? And people still remember it after three years.Nader: Yeah. Yeah. You know what's so funny?I'll, I'll send, I'll give you this clip if you wanna, if you wanna add it [00:03:00] in, but, uh, my wife was at the time fiance, she was in medical school and she came to help us. ‘cause it was like a big moment for us. And so we, we bought this cricket, it's like a vinyl, like a vinyl, uh, printer. ‘cause like, how else are we gonna label the surfboard?So, we got a surfboard, luckily was able to purchase that on the company card. We got a cricket and it was just like fine tuning for enterprises or something like that, that we put on the. On the surfboard and it's 1:00 AM the day before we go to GTC. She's helping me put these like vinyl stickers on.And she goes, you son of, she's like, if you pull this off, you son of a b***h. And so, uh, right. Pretty much after the acquisition, I stitched that with the mag music acquisition. I sent it to our family group chat. Ohswyx: Yeah. No, well, she, she made a good choice there. Was that like basically the origin story for Launchable is that we, it was, and maybe we should explain what Brev is andNader: Yeah.Yeah. Uh, I mean, brev is just, it's a developer tool that makes it really easy to get a GPU. So we connect a bunch of different GPU sources. So the basics of it is like, how quickly can we SSH you into a G, into a GPU and whenever we would talk to users, they wanted A GPU. They wanted an A 100. And if you go to like any cloud [00:04:00] provisioning page, usually it's like three pages of forms or in the forms somewhere there's a dropdown.And in the dropdown there's some weird code that you know to translate to an A 100. And I remember just thinking like. Every time someone says they want an A 100, like the piece of text that they're telling me that they want is like, stuffed away in the corner. Yeah. And so we were like, what if the biggest piece of text was what the user's asking for?And so when you go to Brev, it's just big GPU chips with the type that you want withswyx: beautiful animations that you worked on pre, like pre you can, like, now you can just prompt it. But back in the day. Yeah. Yeah. Those were handcraft, handcrafted artisanal code.Nader: Yeah. I was actually really proud of that because, uh, it was an, i I made it in Figma.Yeah. And then I found, I was like really struggling to figure out how to turn it from like Figma to react. So what it actually is, is just an SVG and I, I have all the styles and so when you change the chip, whether it's like active or not it changes the SVG code and that somehow like renders like, looks like it's animating, but it, we just had the transition slow, but it's just like the, a JavaScript function to change the like underlying SVG.Yeah. And that was how I ended up like figuring out how to move it from from Figma. But yeah, that's Art Artisan. [00:05:00]Kyle: Speaking of marketing stunts though, he actually used those SVGs. Or kind of use those SVGs to make these cards.Nader: Oh yeah. LikeKyle: a GPU gift card Yes. That he handed out everywhere. That was actually my first impression of thatNader: one.Yeah,swyx: yeah, yeah.Nader: Yeah.swyx: I think I still have one of them.Nader: They look great.Kyle: Yeah.Nader: I have a ton of them still actually in our garage, which just, they don't have labels. We should honestly like bring, bring them back. But, um, I found this old printing press here, actually just around the corner on Ven ness. And it's a third generation San Francisco shop.And so I come in an excited startup founder trying to like, and they just have this crazy old machinery and I'm in awe. ‘cause the the whole building is so physical. Like you're seeing these machines, they have like pedals to like move these saws and whatever. I don't know what this machinery is, but I saw all three generations.Like there's like the grandpa, the father and the son, and the son was like, around my age. Well,swyx: it's like a holy, holy trinity.Nader: It's funny because we, so I just took the same SVG and we just like printed it and it's foil printing, so they make a a, a mold. That's like an inverse of like the A 100 and then they put the foil on it [00:06:00] and then they press it into the paper.And I remember once we got them, he was like, Hey, don't forget about us. You know, I guess like early Apple and Cisco's first business cards were all made there. And so he was like, yeah, we, we get like the startup businesses but then as they mature, they kind of go somewhere else. And so I actually, I think we were talking with marketing about like using them for some, we should go back and make some cards.swyx: Yeah, yeah, yeah. You know, I remember, you know, as a very, very small breadth investor, I was like, why are we spending time like, doing these like stunts for GPUs? Like, you know, I think like as a, you know, typical like cloud hard hardware person, you go into an AWS you pick like T five X xl, whatever, and it's just like from a list and you look at the specs like, why animate this GP?And, and I, I do think like it just shows the level of care that goes throughout birth and Yeah. And now, and also the, and,Nader: and Nvidia. I think that's what the, the thing that struck me most when we first came in was like the amount of passion that everyone has. Like, I think, um, you know, you talk to, you talk to Kyle, you talk to, like, every VP that I've met at Nvidia goes so close to the metal.Like, I remember it was almost a year ago, and like my VP asked me, he's like, Hey, [00:07:00] what's cursor? And like, are you using it? And if so, why? Surprised at this, and he downloaded Cursor and he was asking me to help him like, use it. And I thought that was, uh, or like, just show him what he, you know, why we were using it.And so, the amount of care that I think everyone has and the passion, appreciate, passion and appreciation for the moment. Right. This is a very unique time. So it's really cool to see everyone really like, uh, appreciate that.swyx: Yeah.Acquisition and DevEx Shiftswyx: One thing I wanted to do before we move over to sort of like research topics and, uh, the, the stuff that Kyle's working on is just tell the story of the acquisition, right?Like, not many people have been, been through an acquisition with Nvidia. What's it like? Uh, what, yeah, just anything you'd like to say.Nader: It's a crazy experience. I think, uh, you know, we were the thing that was the most exciting for us was. Our goal was just to make it easier for developers.We wanted to find access to GPUs, make it easier to do that. And then all, oh, actually your question about launchable. So launchable was just make one click exper, like one click deploys for any software on top of the GPU. Mm-hmm. And so what we really liked about Nvidia was that it felt like we just got a lot more resources to do all of that.I think, uh, you [00:08:00] know, NVIDIA's goal is to make things as easy for developers as possible. So there was a really nice like synergy there. I think that, you know, when it comes to like an acquisition, I think the amount that the soul of the products align, I think is gonna be. Is going speak to the success of the acquisition.Yeah. And so it in many ways feels like we're home. This is a really great outcome for us. Like we you know, I love brev.nvidia.com. Like you should, you should use it's, it's theKyle: front page for GPUs.Nader: Yeah. Yeah. If you want GP views,Kyle: you go there, getswyx: it there, and it's like internally is growing very quickly.I, I don't remember You said some stats there.Nader: Yeah, yeah, yeah. It's, uh, I, I wish I had the exact numbers, but like internally, externally, it's been growing really quickly. We've been working with a bunch of partners with a bunch of different customers and ISVs, if you have a solution that you want someone that runs on the GPU and you want people to use it quickly, we can bundle it up, uh, in a launchable and make it a one click run.If you're doing things and you want just like a sandbox or something to run on, right. Like open claw. Huge moment. Super exciting. Our, uh, and we'll talk into it more, but. You know, internally, people wanna run this, and you, we know we have to be really careful from the security implications. Do we let this run on the corporate network?Security's guidance was, Hey, [00:09:00] run this on breath, it's in, you know, it's, it's, it's a vm, it's sitting in the cloud, it's off the corporate network. It's isolated. And so that's been our stance internally and externally about how to even run something like open call while we figure out how to run these things securely.But yeah,swyx: I think there's also like, you almost like we're the right team at the right time when Nvidia is starting to invest a lot more in developer experience or whatever you call it. Yeah. Uh, UX or I don't know what you call it, like software. Like obviously NVIDIA is always invested in software, but like, there's like, this is like a different audience.Yeah. It's aNader: widerKyle: developer base.swyx: Yeah. Right.Nader: Yeah. Yeah. You know, it's funny, it's like, it's not, uh,swyx: so like, what, what is it called internally? What, what is this that people should be aware that is going on there?Nader: Uh, what, like developer experienceswyx: or, yeah, yeah. Is it's called just developer experience or is there like a broader strategy hereNader: in Nvidia?Um, Nvidia always wants to make a good developer experience. The thing is and a lot of the technology is just really complicated. Like, it's not, it's uh, you know, I think, um. The thing that's been really growing or the AI's growing is having a huge moment, not [00:10:00] because like, let's say data scientists in 2018, were quiet then and are much louder now.The pie is com, right? There's a whole bunch of new audiences. My mom's wondering what she's doing. My sister's learned, like taught herself how to code. Like the, um, you know, I, I actually think just generally AI's a big equalizer and you're seeing a more like technologically literate society, I guess.Like everyone's, everyone's learning how to code. Uh, there isn't really an excuse for that. And so building a good UX means that you really understand who your end user is. And when your end user becomes such a wide, uh, variety of people, then you have to almost like reinvent the practice, right? Yeah. You haveKyle: to, and actually build more developer ux, right?Because the, there are tiers of developer base that were added. You know, the, the hackers that are building on top of open claw, right? For example, have never used gpu. They don't know what kuda is. They, they, they just want to run something.Nader: Yeah.Kyle: You need new UX that is not just. Hey, you know, how do you program something in Cuda and run it?And then, and then we built, you know, like when Deep Learning was getting big, we built, we built Torch and, and, but so recently the amount of like [00:11:00] layers that are added to that developer stack has just exploded because AI has become ubiquitous. Everyone's using it in different ways. Yeah. It'sNader: moving fast in every direction.Vertical, horizontal.Vibhu: Yeah. You guys, you even take it down to hardware, like the DGX Spark, you know, it's, it's basically the same system as just throwing it up on big GPU cluster.Nader: Yeah, yeah, yeah. It's amazing. Blackwell.swyx: Yeah. Uh, we saw the preview at the last year's GTC and that was one of the better performing, uh, videos so far, and video coverage so far.Awesome. This will beat it. Um,Nader: that wasswyx: actually, we have fingersNader: crossed. Yeah.DGX Spark and Remote AccessNader: Even when Grace Blackwell or when, um, uh, DGX Spark was first coming out getting to be involved in that from the beginning of the developer experience. And it just comes back to what youswyx: were involved.Nader: Yeah. St. St.swyx: Mars.Nader: Yeah. Yeah. I mean from, it was just like, I, I got an email, we just got thrown into the loop and suddenly yeah, I, it was actually really funny ‘cause I'm still pretty fresh from the acquisition and I'm, I'm getting an email from a bunch of the engineering VPs about like, the new hardware, GPU chip, like we're, or not chip, but just GPU system that we're putting out.And I'm like, okay, cool. Matters. Now involved with this for the ux, I'm like. What am I gonna do [00:12:00] here? So, I remember the first meeting, I was just like kind of quiet as I was hearing engineering VPs talk about what this box could be, what it could do, how we should use it. And I remember, uh, one of the first ideas that people were idea was like, oh, the first thing that it was like, I think a quote was like, the first thing someone's gonna wanna do with this is get two of them and run a Kubernetes cluster on top of them.And I was like, oh, I think I know why I'm here. I was like, the first thing we're doing is easy. SSH into the machine. And then, and you know, just kind of like scoping it down of like, once you can do that every, you, like the person who wants to run a Kubernetes cluster onto Sparks has a higher propensity for pain, then, then you know someone who buys it and wants to run open Claw right now, right?If you can make sure that that's as effortless as possible, then the rest becomes easy. So there's a tool called Nvidia Sync. It just makes the SSH connection really simple. So, you know, if you think about it like. If you have a Mac, uh, or a PC or whatever, if you have a laptop and you buy this GPU and you want to use it, you should be able to use it like it's A-A-G-P-U in the cloud, right?Um, but there's all this friction of like, how do you actually get into that? That's part of [00:13:00] Revs value proposition is just, you know, there's a CLI that wraps SSH and makes it simple. And so our goal is just get you into that machine really easily. And one thing we just launched at CES, it's in, it's still in like early access.We're ironing out some kinks, but it should be ready by GTC. You can register your spark on Brev. And so now if youswyx: like remote managed yeah, local hardware. Single pane of glass. Yeah. Yeah. Because Brev can already manage other clouds anyway, right?Vibhu: Yeah, yeah. And you use the spark on Brev as well, right?Nader: Yeah. But yeah, exactly. So, so you, you, so you, you set it up at home you can run the command on it, and then it gets it's essentially it'll appear in your Brev account, and then you can take your laptop to a Starbucks or to a cafe, and you'll continue to use your, you can continue use your spark just like any other cloud node on Brev.Yeah. Yeah. And it's just like a pre-provisioned centerswyx: in yourNader: home. Yeah, exactly.swyx: Yeah. Yeah.Vibhu: Tiny little data center.Nader: Tiny little, the size ofVibhu: your phone.SOL Culture and Dynamo Setupswyx: One more thing before we move on to Kyle. Just have so many Jensen stories and I just love, love mining Jensen stories. Uh, my favorite so far is SOL. Uh, what is, yeah, what is S-O-L-S-O-LNader: is actually, i, I think [00:14:00] of all the lessons I've learned, that one's definitely my favorite.Kyle: It'll always stick with you.Nader: Yeah. Yeah. I, you know, in your startup, everything's existential, right? Like we've, we've run out of money. We were like, on the risk of, of losing payroll, we've had to contract our team because we l ran outta money. And so like, um, because of that you're really always forcing yourself to I to like understand the root cause of everything.If you get a date, if you get a timeline, you know exactly why that date or timeline is there. You're, you're pushing every boundary and like, you're not just say, you're not just accepting like a, a no. Just because. And so as you start to introduce more layers, as you start to become a much larger organization, SOL is is essentially like what is the physics, right?The speed of light moves at a certain speed. So if flight's moving some slower, then you know something's in the way. So before trying to like layer reality back in of like, why can't this be delivered at some date? Let's just understand the physics. What is the theoretical limit to like, uh, how fast this can go?And then start to tell me why. ‘cause otherwise people will start telling you why something can't be done. But actually I think any great leader's goal is just to create urgency. Yeah. [00:15:00] There's an infiniteKyle: create compelling events, right?Nader: Yeah.Kyle: Yeah. So l is a term video is used to instigate a compelling event.You say this is done. How do we get there? What is the minimum? As much as necessary, as little as possible thing that it takes for us to get exactly here and. It helps you just break through a bunch of noise.swyx: Yeah.Kyle: Instantly.swyx: One thing I'm unclear about is, can only Jensen use the SOL card? Like, oh, no, no, no.Not everyone get the b******t out because obviously it's Jensen, but like, can someone else be like, no, likeKyle: frontline engineers use it.Nader: Yeah. Every, I think it's not so much about like, get the b******t out. It's like, it's like, give me the root understanding, right? Like, if you tell me something takes three weeks, it like, well, what's the first principles?Yeah, the first principles. It's like, what's the, what? Like why is it three weeks? What is the actual yeah. What's the actual limit of why this is gonna take three weeks? If you're gonna, if you, if let's say you wanted to buy a new computer and someone told you it's gonna be here in five days, what's the SOL?Well, like the SOL is like, I could walk into a Best Buy and pick it up for you. Right? So then anything that's like beyond that is, and is that practical? Is that how we're gonna, you know, let's say give everyone in the [00:16:00] company a laptop, like obviously not. So then like that's the SOL and then it's like, okay, well if we have to get more than 10, suddenly there might be some, right?And so now we can kind of piece the reality back.swyx: So, so this is the. Paul Graham do things that don't scale. Yeah. And this is also the, what people would now call behi agency. Yeah.Kyle: It's actually really interesting because there's a, there's a second hardware angle to SOL that like doesn't come up for all the org sol is used like culturally at aswyx: media for everything.I'm also mining for like, I think that can be annoying sometimes. And like someone keeps going IOO you and you're like, guys, like we have to be stable. We have to, we to f*****g plan. Yeah.Kyle: It's an interesting balance.Nader: Yeah. I encounter that with like, actually just with, with Alec, right? ‘cause we, we have a new conference so we need to launch, we have, we have goals of what we wanna launch by, uh, by the conference and like, yeah.At the end of the day, where isswyx: this GTC?Nader: Um, well this is like, so we, I mean we did it for CES, we did for GT CDC before that we're doing it for GTC San Jose. So I mean, like every, you know, we have a new moment. Um, and we want to launch something. Yeah. And we want to do so at SOL and that does mean that some, there's some level of prioritization that needs [00:17:00] to happen.And so it, it is difficult, right? I think, um, you have to be careful with what you're pushing. You know, stability is important and that should be factored into S-O-L-S-O-L isn't just like, build everything and let it break, you know, that, that's part of the conversation. So as you're laying, layering in all the details, one of them might be, Hey, we could build this, but then it's not gonna be stable for X, y, z reasons.And so that was like, one of our conversations for CES was, you know, hey, like we, we can get this into early access registering your spark with brev. But there are a lot of things that we need to do in order to feel really comfortable from a security perspective, right? There's a lot of networking involved before we deliver that to users.So it's like, okay. Let's get this to a point where we can at least let people experiment with it. We had it in a booth, we had it in Jensen's keynote, and then let's go iron out all the networking kinks. And that's not easy. And so, uh, that can come later. And so that was the way that we layered that back in.Yeah. ButKyle: It's not really about saying like, you don't have to do the, the maintenance or operational work. It's more about saying, you know, it's kind of like [00:18:00] highlights how progress is incremental, right? Like, what is the minimum thing that we can get to. And then there's SOL for like every component after that.But there's the SOL to get you, get you to the, the starting line. And that, that's usually how it's asked. Yeah. On the other side, you know, like SOL came out of like hardware at Nvidia. Right. So SOL is like literally if we ran the accelerator or the GPU with like at basically full speed with like no other constraints, like how FAST would be able to make a program go.swyx: Yeah. Yeah. Right.Kyle: Soswyx: in, in training that like, you know, then you work back to like some percentage of like MFU for example.Kyle: Yeah, that's a, that's a great example. So like, there's an, there's an S-O-L-M-F-U, and then there's like, you know, what's practically achievable.swyx: Cool. Should we move on to sort of, uh, Kyle's side?Uh, Kyle, you're coming more from the data science world. And, uh, I, I mean I always, whenever, whenever I meet someone who's done working in tabular stuff, graph neural networks, time series, these are basically when I go to new reps, I go to ICML, I walk the back halls. There's always like a small group of graph people.Yes. Absolute small group of tabular people. [00:19:00] And like, there's no one there. And like, it's very like, you know what I mean? Like, yeah, no, like it's, it's important interesting work if you care about solving the problems that they solve.Kyle: Yeah.swyx: But everyone else is just LMS all the time.Kyle: Yeah. I mean it's like, it's like the black hole, right?Has the event horizon reached this yet in nerves? Um,swyx: but like, you know, those are, those are transformers too. Yeah. And, and those are also like interesting things. Anyway, uh, I just wanted to spend a little bit of time on, on those, that background before we go into Dynamo, uh, proper.Kyle: Yeah, sure. I took a different path to Nvidia than that, or I joined six years ago, seven, if you count, when I was an intern.So I joined Nvidia, like right outta college. And the first thing I jumped into was not what I'd done in, during internship, which was like, you know, like some stuff for autonomous vehicles, like heavyweight object detection. I jumped into like, you know, something, I'm like, recommenders, this is popular. Andswyx: yeah, he did RexiKyle: as well.Yeah, Rexi. Yeah. I mean that, that was the taboo data at the time, right? You have tables of like, audience qualities and item qualities, and you're trying to figure out like which member of [00:20:00] the audience matches which item or, or more practically which item matches which member of the audience. And at the time, really it was like we were trying to enable.Uh, recommender, which had historically been like a little bit of a CP based workflow into something that like, ran really well in GPUs. And it's since been done. Like there are a bunch of libraries for Axis that run on GPUs. Uh, the common models like Deeplearning recommendation model, which came outta meta and the wide and deep model, which was used or was released by Google were very accelerated by GPUs using, you know, the fast HBM on the chips, especially to do, you know, vector lookups.But it was very interesting at the time and super, super relevant because like we were starting to get like. This explosion of feeds and things that required rec recommenders to just actively be on all the time. And sort of transitioned that a little bit towards graph neural networks when I discovered them because I was like, okay, you can actually use graphical neural networks to represent like, relationships between people, items, concepts, and that, that interested me.So I jumped into that at [00:21:00] Nvidia and, and got really involved for like two-ish years.swyx: Yeah. Uh, and something I learned from Brian Zaro Yeah. Is that you can just kind of choose your own path in Nvidia.Kyle: Oh my God. Yeah.swyx: Which is not a normal big Corp thing. Yeah. Like you, you have a lane, you stay in your lane.Nader: I think probably the reason why I enjoy being in a, a big company, the mission is the boss probably from a startup guy. Yeah. The missionswyx: is the boss.Nader: Yeah. Uh, it feels like a big game of pickup basketball. Like, you know, if you play one, if you wanna play basketball, you just go up to the court and you're like, Hey look, we're gonna play this game and we need three.Yeah. And you just like find your three. That's honestly for every new initiative that's what it feels like. Yeah.Vibhu: It also like shows, right? Like Nvidia. Just releasing state-of-the-art stuff in every domain. Yeah. Like, okay, you expect foundation models with Nemo tron voice just randomly parakeet.Call parakeet just comes out another one, uh, voice. TheKyle: video voice team has always been producing.Vibhu: Yeah. There's always just every other domain of paper that comes out, dataset that comes out. It's like, I mean, it also stems back to what Nvidia has to do, right? You have to make chips years before they're actually produced.Right? So you need to know, you need to really [00:22:00] focus. TheKyle: design process starts likeVibhu: exactlyKyle: three to five years before the chip gets to the market.Vibhu: Yeah. I, I'm curious more about what that's like, right? So like, you have specialist teams. Is it just like, you know, people find an interest, you go in, you go deep on whatever, and that kind of feeds back into, you know, okay, we, we expect predictions.Like the internals at Nvidia must be crazy. Right? You know? Yeah. Yeah. You know, you, you must. Not even without selling to people, you have your own predictions of where things are going. Yeah. And they're very based, very grounded. Right?Kyle: Yeah. It, it, it's really interesting. So there's like two things that I think that Amed does, which are quite interesting.Uh, one is like, we really index into passion. There's a big. Sort of organizational top sound push to like ensure that people are working on the things that they're passionate about. So if someone proposes something that's interesting, many times they can just email someone like way up the chain that they would find this relevant and say like, Hey, can I go work on this?Nader: It's actually like I worked at a, a big company for a couple years before, uh, starting on my startup journey and like, it felt very weird if you were to like email out of chain, if that makes [00:23:00] sense. Yeah. The emails at Nvidia are like mosh pitsswyx: shoot,Nader: and it's just like 60 people, just whatever. And like they're, there's this,swyx: they got messy like, reply all you,Nader: oh, it's in, it's insane.It's insane. They justKyle: help. You know, Maxim,Nader: the context. But, but that's actually like, I've actually, so this is a weird thing where I used to be like, why would we send emails? We have Slack. I am the entire, I'm the exact opposite. I feel so bad for anyone who's like messaging me on Slack ‘cause I'm so unresponsive.swyx: Your emailNader: Maxi, email Maxim. I'm email maxing Now email is a different, email is perfect because man, we can't work together. I'm email is great, right? Because important threads get bumped back up, right? Yeah, yeah. Um, and so Slack doesn't do that. So I just have like this casino going off on the right or on the left and like, I don't know which thread was from where or what, but like the threads get And then also just like the subject, so you can have like working threads.I think what's difficult is like when you're small, if you're just not 40,000 people I think Slack will work fine, but there's, I don't know what the inflection point is. There is gonna be a point where that becomes really messy and you'll actually prefer having email. ‘cause you can have working threads.You can cc more than nine people in a thread.Kyle: You can fork stuff.Nader: You can [00:24:00] fork stuff, which is super nice and just like y Yeah. And so, but that is part of where you can propose a plan. You can also just. Start, honestly, momentum's the only authority, right? So like, if you can just start, start to make a little bit of progress and show someone something, and then they can try it.That's, I think what's been, you know, I think the most effective way to push anything for forward. And that's both at Nvidia and I think just generally.Kyle: Yeah, there's, there's the other concept that like is explored a lot at Nvidia, which is this idea of a zero billion dollar business. Like market creation is a big thing at Nvidia.Like,swyx: oh, you want to go and start a zero billion dollar business?Kyle: Jensen says, we are completely happy investing in zero billion dollar markets. We don't care if this creates revenue. It's important for us to know about this market. We think it will be important in the future. It can be zero billion dollars for a while.I'm probably minging as words here for, but like, you know, like, I'll give an example. NVIDIA's been working on autonomous driving for a a long time,swyx: like an Nvidia car.Kyle: No, they, they'veVibhu: used the Mercedes, right? They're around the HQ and I think it finally just got licensed out. Now they're starting to be used quite a [00:25:00] bit.For 10 years you've been seeing Mercedes with Nvidia logos driving.Kyle: If you're in like the South San Santa Clara, it's, it's actually from South. Yeah. So, um. Zero billion dollar markets are, are a thing like, you know, Jensen,swyx: I mean, okay, look, cars are not a zero billion dollar market. But yeah, that's a bad example.Nader: I think, I think he's, he's messaging, uh, zero today, but, or even like internally, right? Like, like it's like, uh, an org doesn't have to ruthlessly find revenue very quickly to justify their existence. Right. Like a lot of the important research, a lot of the important technology being developed that, that's kind ofKyle: where research, research is very ide ideologically free at Nvidia.Yeah. Like they can pursue things that they wereswyx: Were you research officially?Kyle: I was never in research. Officially. I was always in engineering. Yeah. We in, I'm in an org called Deep Warning Algorithms, which is basically just how do we make things that are relevant to deep warning go fast.swyx: That sounds freaking cool.Vibhu: And I think a lot of that is underappreciated, right? Like time series. This week Google put out time. FF paper. Yeah. A new time series, paper res. Uh, Symantec, ID [00:26:00] started applying Transformers LMS to Yes. Rec system. Yes. And when you think the scale of companies deploying these right. Amazon recommendations, Google web search, it's like, it's huge scale andKyle: Yeah.Vibhu: You want fast?Kyle: Yeah. Yeah. Yeah. Actually it's, it, I, there's a fun moment that brought me like full circle. Like, uh, Amazon Ads recently gave a talk where they talked about using Dynamo for generative recommendation, which was like super, like weirdly cathartic for me. I'm like, oh my God. I've, I've supplanted what I was working on.Like, I, you're using LMS now to do what I was doing five years ago.swyx: Yeah. Amazing. And let's go right into Dynamo. Uh, maybe introduce Yeah, sure. To the top down and Yeah.Kyle: I think at this point a lot of people are familiar with the term of inference. Like funnily enough, like I went from, you know, inference being like a really niche topic to being something that's like discussed on like normal people's Twitter feeds.It's,Nader: it's on billboardsKyle: here now. Yeah. Very, very strange. Driving, driving, seeing just an inference ad on 1 0 1 inference at scale is becoming a lot more important. Uh, we have these moments like, you know, open claw where you have these [00:27:00] agents that take lots and lots of tokens, but produce, incredible results.There are many different aspects of test time scaling so that, you know, you can use more inference to generate a better result than if you were to use like a short amount of inference. There's reasoning, there's quiring, there's, adding agency to the model, allowing it to call tools and use skills.Dyno sort came about at Nvidia. Because myself and a couple others were, were sort of talking about the, these concepts that like, you know, you have inference engines like VLMS, shelan, tenor, TLM and they have like one single copy. They, they, they sort of think about like things as like one single copy, like one replica, right?Why Scale Out WinsKyle: Like one version of the model. But when you're actually serving things at scale, you can't just scale up that replica because you end up with like performance problems. There's a scaling limit to scaling up replicas. So you actually have to scale out to use a, maybe some Kubernetes type terminology.We kind of realized that there was like. A lot of potential optimization that we could do in scaling out and building systems for data [00:28:00] center scale inference. So Dynamo is this data center scale inference engine that sits on top of the frameworks like VLM Shilling and 10 T lm and just makes things go faster because you can leverage the economy of scale.The fact that you have KV cash, which we can define a little bit later, uh, in all these machines that is like unique and you wanna figure out like the ways to maximize your cash hits or you want to employ new techniques in inference like disaggregation, which Dynamo had introduced to the world in, in, in March, not introduced, it was a academic talk, but beforehand.But we are, you know, one of the first frameworks to start, supporting it. And we wanna like, sort of combine all these techniques into sort of a modular framework that allows you to. Accelerate your inference at scale.Nader: By the way, Kyle and I became friends on my first date, Nvidia, and I always loved, ‘cause like he always teaches meswyx: new things.Yeah. By the way, this is why I wanted to put two of you together. I was like, yeah, this is, this is gonna beKyle: good. It's very, it's very different, you know, like we've, we, we've, we've talked to each other a bunch [00:29:00] actually, you asked like, why, why can't we scale up?Nader: Yeah.Scale Up Limits ExplainedNader: model, you said model replicas.Kyle: Yeah. So you, so scale up means assigning moreswyx: heavier?Kyle: Yeah, heavier. Like making things heavier. Yeah, adding more GPUs. Adding more CPUs. Scale out is just like having a barrier saying, I'm gonna duplicate my representation of the model or a representation of this microservice or something, and I'm gonna like, replicate it Many times.Handle, load. And the reason that you can't scale, scale up, uh, past some points is like, you know, there, there, there are sort of hardware bounds and algorithmic bounds on, on that type of scaling. So I'll give you a good example that's like very trivial. Let's say you're on an H 100. The Maxim ENV link domain for H 100, for most Ds H one hundreds is heus, right?So if you scaled up past that, you're gonna have to figure out ways to handle the fact that now for the GPUs to communicate, you have to do it over Infin band, which is still very fast, but is not as fast as ENV link.swyx: Is it like one order of magnitude, like hundreds or,Kyle: it's about an order of magnitude?Yeah. Okay. Um, soswyx: not terrible.Kyle: [00:30:00] Yeah. I, I need to, I need to remember the, the data sheet here, like, I think it's like about 500 gigabytes. Uh, a second unidirectional for ENV link, and about 50 gigabytes a second unidirectional for Infin Band. I, it, it depends on the, the generation.swyx: I just wanna set this up for people who are not familiar with these kinds of like layers and the trash speedVibhu: and all that.Of course.From Laptop to Multi NodeVibhu: Also, maybe even just going like a few steps back before that, like most people are very familiar with. You see a, you know, you can use on your laptop, whatever these steel viol, lm you can just run inference there. All, there's all, you can, youcan run it on thatVibhu: laptop. You can run on laptop.Then you get to, okay, uh, models got pretty big, right? JLM five, they doubled the size, so mm-hmm. Uh, what do you do when you have to go from, okay, I can get 128 gigs of memory. I can run it on a spark. Then you have to go multi GPU. Yeah. Okay. Multi GPU, there's some support there. Now, if I'm a company and I don't have like.I'm not hiring the best researchers for this. Right. But I need to go [00:31:00] multi-node, right? I have a lot of servers. Okay, now there's efficiency problems, right? You can have multiple eight H 100 nodes, but, you know, is that as a, like, how do you do that efficiently?Kyle: Yeah. How do you like represent them? How do you choose how to represent the model?Yeah, exactly right. That's a, that's like a hard question. Everyone asks, how do you size oh, I wanna run GLM five, which just came out new model. There have been like four of them in the past week, by the way, like a bunch of new models.swyx: You know why? Right? Deep seek.Kyle: No comment. Oh. Yeah, but Ggl, LM five, right?We, we have this, new model. It's, it's like a large size, and you have to figure out how to both scale up and scale out, right? Because you have to find the right representation that you care about. Everyone does this differently. Let's be very clear. Everyone figures this out in their own path.Nader: I feel like a lot of AI or ML even is like, is like this. I think people think, you know, I, I was, there was some tweet a few months ago that was like, why hasn't fine tuning as a service taken off? You know, that might be me. It might have been you. Yeah. But people want it to be such an easy recipe to follow.But even like if you look at an ML model and specificKyle: to you Yeah,Nader: yeah.Kyle: And the [00:32:00] model,Nader: the situation, and there's just so much tinkering, right? Like when you see a model that has however many experts in the ME model, it's like, why that many experts? I don't, they, you know, they tried a bunch of things and that one seemed to do better.I think when it comes to how you're serving inference, you know, you have a bunch of decisions to make and there you can always argue that you can take something and make it more optimal. But I think it's this internal calibration and appetite for continued calibration.Vibhu: Yeah. And that doesn't mean like, you know, people aren't taking a shot at this, like tinker from thinking machines, you know?Yeah. RL as a service. Yeah, totally. It's, it also gets even harder when you try to do big model training, right? We're not the best at training Moes, uh, when they're pre-trained. Like we saw this with LAMA three, right? They're trained in such a sparse way that meta knows there's gonna be a bunch of inference done on these, right?They'll open source it, but it's very trained for what meta infrastructure wants, right? They wanna, they wanna inference it a lot. Now the question to basically think about is, okay, say you wanna serve a chat application, a coding copilot, right? You're doing a layer of rl, you're serving a model for X amount of people.Is it a chat model, a coding model? Dynamo, you know, back to that,Kyle: it's [00:33:00] like, yeah, sorry. So you we, we sort of like jumped off of, you know, jumped, uh, on that topic. Everyone has like, their own, own journey.Cost Quality Latency TradeoffsKyle: And I, I like to think of it as defined by like, what is the model you need? What is the accuracy you need?Actually I talked to NA about this earlier. There's three axes you care about. What is the quality that you're able to produce? So like, are you accurate enough or can you complete the task with enough, performance, high enough performance. Yeah, yeah. Uh, there's cost. Can you serve the model or serve your workflow?Because it's not just the model anymore, it's the workflow. It's the multi turn with an agent cheaply enough. And then can you serve it fast enough? And we're seeing all three of these, like, play out, like we saw, we saw new models from OpenAI that you know, are faster. You have like these new fast versions of models.You can change the amount of thinking to change the amount of quality, right? Produce more tokens, but at a higher cost in a, in a higher latency. And really like when you start this journey of like trying to figure out how you wanna host a model, you, you, you think about three things. What is the model I need to serve?How many times do I need to call it? What is the input sequence link was [00:34:00] the, what does the workflow look like on top of it? What is the SLA, what is the latency SLA that I need to achieve? Because there's usually some, this is usually like a constant, you, you know, the SLA that you need to hit and then like you try and find the lowest cost version that hits all of these constraints.Usually, you know, you, you start with those things and you say you, you kind of do like a bit of experimentation across some common configurations. You change the tensor parallel size, which is a form of parallelismVibhu: I take, it goes even deeper first. Gotta think what model.Kyle: Yes, course,ofKyle: course. It's like, it's like a multi-step design process because as you said, you can, you can choose a smaller model and then do more test time scaling and it'll equate the quality of a larger model because you're doing the test time scaling or you're adding a harness or something.So yes, it, it goes way deeper than that. But from the performance perspective, like once you get to the model you need, you need to host, you look at that and you say, Hey. I have this model, I need to serve it at the speed. What is the right configuration for that?Nader: You guys see the recent, uh, there was a paper I just saw like a few days ago that, uh, if you run [00:35:00] the same prompt twice, you're getting like double Just try itagain.Nader: Yeah, exactly.Vibhu: And you get a lot. Yeah. But the, the key thing there is you give the context of the failed try, right? Yeah. So it takes a shot. And this has been like, you know, basic guidance for quite a while. Just try again. ‘cause you know, trying, just try again. Did you try again? All adviceNader: in life.Vibhu: Just, it's a paper from Google, if I'm not mistaken, right?Yeah,Vibhu: yeah. I think it, it's like a seven bas little short paper. Yeah. Yeah. The title's very cute. And it's just like, yeah, just try again. Give it ask context,Kyle: multi-shot. You just like, say like, hey, like, you know, like take, take a little bit more, take a little bit more information, try and fail. Fail.Vibhu: And that basic concept has gone pretty deep.There's like, um, self distillation, rl where you, you do self distillation, you do rl and you have past failure and you know, that gives some signal so people take, try it again. Not strong enough.swyx: Uh, for, for listeners, uh, who listen to here, uh, vivo actually, and I, and we run a second YouTube channel for our paper club where, oh, that's awesome.Vivo just covered this. Yeah. Awesome. Self desolation and all that's, that's why he, to speed [00:36:00] on it.Nader: I'll to check it out.swyx: Yeah. It, it's just a good practice, like everyone needs, like a paper club where like you just read papers together and the social pressure just kind of forces you to just,Nader: we, we,there'sNader: like a big inference.Kyle: ReadingNader: group at a video. I feel so bad every time. I I, he put it on like, on our, he shared it.swyx: One, one ofNader: your guys,swyx: uh, is, is big in that, I forget es han Yeah, yeah,Kyle: es Han's on my team. Actually. Funny. There's a, there's a, there's a employee transfer between us. Han worked for Nater at Brev, and now he, he's on my team.He wasNader: our head of ai. And then, yeah, once we got in, andswyx: because I'm always looking for like, okay, can, can I start at another podcast that only does that thing? Yeah. And, uh, Esan was like, I was trying to like nudge Esan into like, is there something here? I mean, I don't think there's, there's new infant techniques every day.So it's like, it's likeKyle: you would, you would actually be surprised, um, the amount of blog posts you see. And ifswyx: there's a period where it was like, Medusa hydra, what Eagle, like, youKyle: know, now we have new forms of decode, uh, we have new forms of specula, of decoding or new,swyx: what,Kyle: what are youVibhu: excited? And it's exciting when you guys put out something like Tron.‘cause I remember the paper on this Tron three, [00:37:00] uh, the amount of like post train, the on tokens that the GPU rich can just train on. And it, it was a hybrid state space model, right? Yeah.Kyle: It's co-designed for the hardware.Vibhu: Yeah, go design for the hardware. And one of the things was always, you know, the state space models don't scale as well when you do a conversion or whatever the performance.And you guys are like, no, just keep draining. And Nitron shows a lot of that. Yeah.Nader: Also, something cool about Nitron it was released in layers, if you will, very similar to Dynamo. It's, it's, it's essentially it was released as you can, the pre-training, post-training data sets are released. Yeah. The recipes on how to do it are released.The model itself is released. It's full model. You just benefit from us turning on the GPUs. But there are companies like, uh, ServiceNow took the dataset and they trained their own model and we were super excited and like, you know, celebrated that work.ZoomVibhu: different. Zoom is, zoom is CGI, I think, uh, you know, also just to add like a lot of models don't put out based models and if there's that, why is fine tuning not taken off?You know, you can do your own training. Yeah,Kyle: sure.Vibhu: You guys put out based model, I think you put out everything.Nader: I believe I know [00:38:00]swyx: about base. BasicallyVibhu: without baseswyx: basic can be cancelable.Vibhu: Yeah. Base can be cancelable.swyx: Yeah.Vibhu: Safety training.swyx: Did we get a full picture of dymo? I, I don't know if we, what,Nader: what I'd love is you, you mentioned the three axes like break it down of like, you know, what's prefilled decode and like what are the optimizations that we can get with Dynamo?Kyle: Yeah. That, that's, that's, that's a great point. So to summarize on that three axis problem, right, there are three things that determine whether or not something can be done with inference, cost, quality, latency, right? Dynamo is supposed to be there to provide you like the runtime that allows you to pull levers to, you know, mix it up and move around the parade of frontier or the preto surface that determines is this actually possible with inference And AI todayNader: gives you the knobs.Kyle: Yeah, exactly. It gives you the knobs.Disaggregation Prefill vs DecodeKyle: Uh, and one thing that like we, we use a lot in contemporary inference and is, you know, starting to like pick up from, you know, in, in general knowledge is this co concept of disaggregation. So historically. Models would be hosted with a single inference engine. And that inference engine [00:39:00] would ping pong between two phases.There's prefill where you're reading the sequence generating KV cache, which is basically just a set of vectors that represent the sequence. And then using that KV cache to generate new tokens, which is called Decode. And some brilliant researchers across multiple different papers essentially made the realization that if you separate these two phases, you actually gain some benefits.Those benefits are basically a you don't have to worry about step synchronous scheduling. So the way that an inference engine works is you do one step and then you finish it, and then you schedule, you start scheduling the next step there. It's not like fully asynchronous. And the problem with that is you would have, uh, essentially pre-fill and decode are, are actually very different in terms of both their resource requirements and their sometimes their runtime.So you would have like prefill that would like block decode steps because you, you'd still be pre-filing and you couldn't schedule because you know the step has to end. So you remove that scheduling issue and then you also allow you, or you yourself, to like [00:40:00] split the work into two different ki types of pools.So pre-fill typically, and, and this changes as, as model architecture changes. Pre-fill is, right now, compute bound most of the time with the sequence is sufficiently long. It's compute bound. On the decode side because you're doing a full Passover, all the weights and the entire sequence, every time you do a decode step and you're, you don't have the quadratic computation of KV cache, it's usually memory bound because you're retrieving a linear amount of memory and you're doing a linear amount of compute as opposed to prefill where you retrieve a linear amount of memory and then use a quadratic.You know,Nader: it's funny, someone exo Labs did a really cool demo where for the DGX Spark, which has a lot more compute, you can do the pre the compute hungry prefill on a DG X spark and then do the decode on a, on a Mac. Yeah. And soVibhu: that's faster.Nader: Yeah. Yeah.Kyle: So you could, you can do that. You can do machine strat stratification.Nader: Yeah.Kyle: And like with our future generation generations of hardware, we actually announced, like with Reuben, this [00:41:00] new accelerator that is prefilled specific. It's called Reuben, CPX. SoKubernetes Scaling with GroveNader: I have a question when you do the scale out. Yeah. Is scaling out easier with Dynamo? Because when you need a new node, you can dedicate it to either the Prefill or, uh, decode.Kyle: Yeah. So Dynamo actually has like a, a Kubernetes component in it called Grove that allows you to, to do this like crazy scaling specialization. It has like this hot, it's a representation that, I don't wanna go too deep into Kubernetes here, but there was a previous way that you would like launch multi-node work.Uh, it's called Leader Worker Set. It's in the Kubernetes standard, and Leader worker set is great. It served a lot of people super well for a long period of time. But one of the things that it's struggles with is representing a set of cases where you have a multi-node replica that has a pair, right?You know, prefill and decode, or it's not paired, but it has like a second stage that has a ratio that changes over time. And prefill and decode are like two different things as your workload changes, right? The amount of prefill you'll need to do may change. [00:42:00] The amount of decode that you, you'll need to do might change, right?Like, let's say you start getting like insanely long queries, right? That probably means that your prefill scales like harder because you're hitting these, this quadratic scaling growth.swyx: Yeah.And then for listeners, like prefill will be long input. Decode would be long output, for example, right?Kyle: Yeah. So like decode, decode scale. I mean, decode is funny because the amount of tokens that you produce scales with the output length, but the amount of work that you do per step scales with the amount of tokens in the context.swyx: Yes.Kyle: So both scales with the input and the output.swyx: That's true.Kyle: But on the pre-fold view code side, like if.Suddenly, like the amount of work you're doing on the decode side stays about the same or like scales a little bit, and then the prefilled side like jumps up a lot. You actually don't want that ratio to be the same. You want it to change over time. So Dynamo has a set of components that A, tell you how to scale.It tells you how many prefilled workers and decoded workers you, it thinks you should have, and also provides a scheduling API for Kubernetes that allows you to actually represent and affect this scheduling on, on, on your actual [00:43:00] hardware, on your compute infrastructure.Nader: Not gonna lie. I feel a little embarrassed for being proud of my SVG function earlier.swyx: No, itNader: wasreallyKyle: cute. I, Iswyx: likeNader: it's all,swyx: it's all engineering. It's all engineering. Um, that's where I'mKyle: technical.swyx: One thing I'm, I'm kind of just curious about with all with you see at a systems level, everything going on here. Mm-hmm. And we, you know, we're scaling it up in, in multi, in distributed systems.Context Length and Co Designswyx: Um, I think one thing that's like kind of, of the moment right now is people are asking, is there any SOL sort of upper bounds. In terms of like, let's call, just call it context length for one for of a better word, but you can break it down however you like.Nader: Yeah.swyx: I just think like, well, yeah, I mean, like clearly you can engage in hybrid architectures and throw in some state space models in there.All, all you want, but it looks, still looks very attention heavy.Kyle: Yes. Uh, yeah. Long context is attention heavy. I mean, we have these hybrid models, um,swyx: to take and most, most models like cap out at a million contexts and that's it. Yeah. Like for the last two years has been it.Kyle: Yeah. The model hardware context co-design thing that we're seeing these days is actually super [00:44:00] interesting.It's like my, my passion, like my secret side passion. We see models like Kimmy or G-P-T-O-S-S. I'm use these because I, I know specific things about these models. So Kimmy two comes out, right? And it's an interesting model. It's like, like a deep seek style architecture is MLA. It's basically deep seek, scaled like a little bit differently, um, and obviously trained differently as well.But they, they talked about, why they made the design choices for context. Kimmy has more experts, but fewer attention heads, and I believe a slightly smaller attention, uh, like dimension. But I need to remember, I need to check that. Uh, it doesn't matter. But they discussed this actually at length in a blog post on ji, which is like our pu which is like credit puswyx: Yeah.Kyle: Um, in, in China. Chinese red.swyx: Yeah.Kyle: It's, yeah. So it, it's, it's actually an incredible blog post. Uh, like all the mls people in, in, in that, I've seen that on GPU are like very brilliant, but they, they talk about like the creators of Kimi K two [00:45:00] actually like, talked about it on, on, on there in the blog post.And they say, we, we actually did an experiment, right? Attention scales with the number of heads, obviously. Like if you have 64 heads versus 32 heads, you do half the work of attention. You still scale quadratic, but you do half the work. And they made a, a very specific like. Sort of barter in their system, in their architecture, they basically said, Hey, what if we gave it more experts, so we're gonna use more memory capacity.But we keep the amount of activated experts the same. We increase the expert sparsity, so we have fewer experts act. The ratio to of experts activated to number of experts is smaller, and we decrease the number of attention heads.Vibhu: And kind of for context, what the, what we had been seeing was you make models sparser instead.So no one was really touching heads. You're just having, uh,Kyle: well, they, they did, they implicitly made it sparser.Vibhu: Yeah, yeah. For, for Kimmy. They did,Kyle: yes.Vibhu: They also made it sparser. But basically what we were seeing was people were at the level of, okay, there's a sparsity ratio. You want more total parameters, less active, and that's sparsity.[00:46:00]But what you see from papers, like, the labs like moonshot deep seek, they go to the level of, okay, outside of just number of experts, you can also change how many attention heads and less attention layers. More attention. Layers. Layers, yeah. Yes, yes. So, and that's all basically coming back to, just tied together is like hardware model, co-design, which isKyle: hardware model, co model, context, co-design.Vibhu: Yeah.Kyle: Right. Like if you were training a, a model that was like. Really, really short context, uh, or like really is good at super short context tasks. You may like design it in a way such that like you don't care about attention scaling because it hasn't hit that, like the turning point where like the quadratic curve takes over.Nader: How do you consider attention or context as a separate part of the co-design? Like I would imagine hardware or just how I would've thought of it is like hardware model. Co-design would be hardware model context co-designKyle: because the harness and the context that is produced by the harness is a part of the model.Once it's trained in,Vibhu: like even though towards the end you'll do long context, you're not changing architecture through I see. Training. Yeah.Kyle: I mean you can try.swyx: You're saying [00:47:00] everyone's training the harness into the model.Kyle: I would say to some degree, orswyx: there's co-design for harness. I know there's a small amount, but I feel like not everyone has like gone full send on this.Kyle: I think, I think I think it's important to internalize the harness that you think the model will be running. Running into the model.swyx: Yeah. Interesting. Okay. Bash is like the universal harness,Kyle: right? Like I'll, I'll give. An example here, right? I mean, or just like a, like a, it's easy proof, right? If you can train against a harness and you're using that harness for everything, wouldn't you just train with the harness to ensure that you get the best possible quality out of,swyx: Well, the, uh, I, I can provide a counter argument.Yeah, sure. Which is what you wanna provide a generally useful model for other people to plug into their harnesses, right? So if youKyle: Yeah. Harnesses can be open, open source, right?swyx: Yeah. So I mean, that's, that's effectively what's happening with Codex.Kyle: Yeah.swyx: And, but like you may want like a different search tool and then you may have to name it differently or,Nader: I don't know how much people have pushed on this, but can you.Train a model, would it be, have you have people compared training a model for the for the harness versus [00:48:00] like post training forswyx: I think it's the same thing. It's the same thing. It's okay. Just extra post training. INader: see.swyx: And so, I mean, cognition does this course, it does this where you, you just have to like, if your tool is slightly different, um, either force your tool to be like the tool that they train for.Hmm. Or undo their training for their tool and then Oh, that's re retrain. Yeah. It's, it's really annoying and like,Kyle: I would hope that eventually we hit like a certain level of generality with respect to training newswyx: tools. This is not a GI like, it's, this is a really stupid like. Learn my tool b***h.Like, I don't know if, I don't know if I can say that, but like, you know, um, I think what my point kind of is, is that there's, like, I look at slopes of the scaling laws and like, this slope is not working, man. We, we are at a million token con

Today I wanted to talk about the layers of your purpose.I found that once you start discovering parts of your purpose, it's not a single point of arrival but a deepening where you start to see the different layers and expression of your unique purpose beyond the usual "profession" or role based purpose we associate this word and discovery with.What resonated most with you?DM me on IG www.instagram.com/liveintechnicolor_  Read my writing on Substack: https://substack.com/@liveintechnicolor If you enjoyed this episode, leave a rating and a review.Remember - you're amazing and thank you for being here!With Love, BaibaSupport the show

Money doesn't become digital overnight.It becomes digital when the rails of finance begin to change.In this episode of MoneyNeverSleeps, Pete Townsend speaks with Emma Landriault of JPMorgan about why stablecoins and bank-issued deposit tokens may end up reinforcing, rather than replacing, each other.Emma Landriault is Executive Director at JPMorgan and global product lead for JPM Coin, a deposit token that enables institutional clients to move money between accounts in real time, 24/7.Drawing on her work building deposit tokens and financial market infrastructure, Emma explains why stablecoins, deposit tokens, and potentially central bank digital currencies represent different layers of the financial system rather than competing forms of money.Across crypto, fintech, and traditional finance, the conversation around stablecoins, tokenised deposits, and onchain settlement is moving from experimentation toward real financial infrastructure. Companies such as Stripe, Visa, Mastercard, and major global banks are increasingly integrating these rails into payments, treasury, and settlement systems.Rather than replacing banks, digital money is emerging as a modular system where different forms of value serve different roles — from programmable treasury operations to onchain settlement and institutional liquidity management.This isn't a crypto-versus-banks conversation. It's a discussion about financial architecture, interoperability, and how the rails of global finance are quietly evolving.We cover:• Why stablecoins and bank-issued deposit tokens are designed to coexist• How liability and trust anchors shape different forms of digital money• Why corporate treasurers are beginning to manage liquidity directly from wallets• What programmable treasury operations could mean for financial workflows• How traditional institutions are approaching onchain assets and digital markets• Why the future financial system may look more like interconnected networks than isolated payment systemsEmma brings a systems-level perspective shaped by building real financial infrastructure inside one of the world's largest banks, explaining why operational reality matters as much as technological innovation — and why the next phase of digital finance will likely be defined by interoperability rather than disruption.If you're a founder, operator, or investor trying to understand how traditional finance and onchain systems are beginning to converge, this episode offers a practical perspective on where things may be heading.⏱️ Chapters00:00 – Why stablecoins and banks can coexist01:00 – Layers of digital money02:30 – Liability, trust, and financial infrastructure04:10 – Deposit tokens vs stablecoins06:00 – Yield, liquidity, and treasury operations07:10 – How corporate treasurers use digital assets08:40 – Programmable treasury and wallet infrastructure10:00 – Institutional interest in onchain finance11:15 – Convergence and network-based financial systems13:00 – The future architecture of digital money13:40 – Closing thoughtsFor full show notes and guest links, see below.MoneyNeverSleeps explores one big idea each week in under 15 minutes with founders, operators, and investors shaping crypto, fintech, AI, and onchain finance.If you're interested in where financial infrastructure is heading — from stablecoins and tokenized assets to AI-driven markets — subscribe and join the conversation.

Katharine's relatives lead the production team to a collection of papers and artifacts stored in a New England storage unit, revealing an inner struggle she kept carefully out of sight – even as she was making history in the laboratory. Learn about your ad choices: dovetail.prx.org/ad-choices

Why are we all watching those rug washing videos like it's a full time job?You know the ones. The rugs are absolutely caked in mud. Brown water. Layers of mystery grime. And I just need to know… what were the owners doing in their homes for it to get that bad? If your rug looks like it survived a natural disaster, respectfully… do not invite me over. Keep that chaos to yourself.In this episode, we spiral into the oddly satisfying world of filthy rug restorations, question people's cleaning standards, and somehow end up talking about phone settings, location tracking, and how our devices basically know more about us than our friends do.Also… remember when the biggest app on your phone was Paper Toss? When life was simple, storage wasn't full, and your biggest stress was making that crumpled paper shot into a digital trash can?This one is chaotic, nostalgic, and very real. You've been warned.

Why does chronic pain return even after months of physical therapy and exercise? Today I sit down with chronic joint and back pain specialist Bonnie Ryckova to uncover the missing link in injury recovery.Bonnie shares her powerful journey from childhood trauma and multiple accidents to discovering the "layers of compensation" the body builds over decades. Learn why traditional strengthening exercises often fail when the body is stuck in a fight-or-flight response and how nervous system regulation can finally break the cycle of painful flare-ups. This conversation offers a roadmap to move from "fixing" your body to partnering with it for lasting relief.Key Highlights & Timestamps03:09 The "Dissociation" of Injury: Bonnie describes the psychological impact of her first childhood injury, explaining how a plaster cast led to a feeling of disconnection from her own limb, a common side effect of physical trauma.05:17 The Hidden Impact of Childhood Accidents: A detailed look at how a "minor" accident at age 10 created a "rotational" compensation in Bonnie's pelvis that stayed with her for decades, despite X-rays showing nothing was broken.14:26 Trauma Processing vs. Physical Fixing: Following a car accident in her 30s, Bonnie explains the pivotal moment she realized that physical exercise alone couldn't heal her because the emotional trauma of the impact hadn't been processed.20:05 The "Layers of Compensation": A breakdown of how the body adapts over time. Bonnie explains that the demands we put on our bodies (career changes, travel, stress) add "layers" to old injuries, making standard physical therapy less effective over time.22:34 Nervous System "Fight or Flight" in Fitness: Bonnie discusses the irony of the fitness industry, where high-intensity "hustle" can actually prevent healing by keeping the nervous system in a constant state of threat.31:18 Learning to Listen to "Body Guidance": Bonnie shares her method of lying on the floor and allowing the body to lead the movement (rocking, pelvic tilts) rather than following a rigid exercise protocol.41:09 The "Silent" Rib Cage Breath: A step-by-step tutorial on the specific breathing technique Bonnie uses to expand the thoracic spine, relax the jaw, and signal safety to the brain to stop a pain flare-up.Bonnie's Bio Bonnie is a Chronic Joint and Back Pain Specialist who works with people whose pain keeps returning despite physiotherapy and exercise. Her work focuses on understanding how the body has adapted over time and where load is no longer shared evenly.Her background includes biomechanics, clinical Pilates and postural therapy, alongside lived experience of chronic pain, hypermobility, and injury recovery. This informs a way of working that is structured, body-led, and realistic, prioritising clarity before action.Her work has been featured in Forbes (2024), 30 Day Health Magazine (2025), and The I-Paper (2026). Connect with Bonnie https://bonnieryckova.com LinkedIn: https://www.linkedin.com/in/bonnieryckovaFacebook: https://www.facebook.com/bonnieryckovaWho am I?Sarah Dawkins is a passionate Holistic Health and Healing Coach, international speaker and author of Heal Yourself. She's also a multi-award-winning entrepreneur and the award-winning host of the uplifting podcast Mind Body Medicine for Self Healers with Sarah Dawkins.With over 20 years' experience as a Registered Nurse, Sarah combines her deep understanding of conventional medicine with her own powerful self-healing journey to create a truly integrative approach. Having overcome multiple chronic health challenges herself, she now supports others in uncovering and addressing the root causes of their symptoms, helping them restore balance, reclaim their energy and create lasting, vibrant wellness.www.sarahdawkins.com#healingpain #chronicpainsolutions #chronicpainrecovery #chronicpainhelp #chronicpainrelief #chronicpainawareness #emotionalpain #traumarecovery #traumahealing

Are we truly prepared for the dark side of AI in talent acquisition? In this episode, my great friend, Dara Brenner from Employ drops truth bombs about candidate fraud, the evolution of AI governance, and how organizations can stay ahead in this high-stakes game. If you're a leader in HR or recruiting, this is your wake-up call—trust me, you'll want to hear this. Here is the link to the fund set up for Dara's late husband: Please click here. In this episode: The shift from traditional to AI-native hiring tech—what it really means How candidate fraud costs businesses $600 billion—yes, billion Layers of fraud detection: Swiss cheese analogy explained The role of IBM Watson in transparency and compliance The future of governance—code as the new rulebook Balancing trust and talent pool access in a hyper-suspicious world Why proactive planning for societal shifts is vital in workforce strategy Dara's personal story: turning tragedy into impact with a brain tumor foundation Resources & Links: IBM Watson X Governance Learn about the brain tumor foundation Book: "AI Superpowers" by Kai-Fu Lee Dara Brenner on LinkedIn Connect with Dara: LinkedIn Twitter Timestamps: 00:00 - Introduction: The urgent need for trust in AI-driven hiring 02:08 - Dara Brenner's background and journey through HR tech 03:20 - The fun side: Dara's unexpected past as a restaurateur 05:45 - The impact of personal tragedy: Creating a foundation for brain tumor support 08:34 - The hidden threat: Candidate fraud in the age of AI 09:49 - How AI can be used nefariously in recruitment 10:56 - Layers of fraud detection: From resumes to deep fakes 12:01 - The staggering cost: $600 billion from resume fraud 14:26 - Organizations' vulnerabilities: North Korea, bad actors, and real risks 15:36 - Balancing security with talent access: Where to draw the line 22:34 - Governance and compliance: IBM Watson's role in transparency 23:46 - Constant AI audits: Like having a doctor in your pocket 28:31 - Future of recruitment: From ATS to AI-native systems 29:55 - Building AI into the DNA from day one—code as policy 32:29 - The evolving role of recruiters: proactive, strategic, data-driven 33:53 - Societal impacts: Demographics, immigration, and big-picture workforce planning 36:10 - Dara's parting wisdom: Evolving trust, governance, and human oversight Final thought:The future of hiring is not just about smarter algorithms—it's about building a trustworthy system where technology and humanity work hand in hand. Stay vigilant, stay proactive, and never stop asking: are we doing this right? Because the stakes couldn't be higher.

The war with Iran reveals more daily, including Iran lying about their actual uranium capabilities, leaders meeting to choose the next Supreme Leader bombed by Israel, NATO support, and the WHY behind the military strike grows more clear, and doctors and nurses reveal the horrifying details of the slaughter of the Iranian people during protests. Iran's Horrors Take Shape in the Emotional Accounts of Dozens of Doctors and Nurses (https://washingtonstand.com/article/irans-horrors-take-shape-in-the-raw-accounts-of-dozens-of-doctors-and-nurses-)

Send a textWhat if Neverland isn't a place you fly to but a world you build together? We're pulling back the curtain on our reimagined Peter Pan Jr., where the nursery anchors reality and the stage reshapes itself with moving blocks into forests, ships, and hideaways. That design choice isn't just clever staging; it's a manifesto about how play transforms what we see and how young actors can hold a complex story with honesty and joy.We dive into the heart of the concept by turning light and shadow into living forces. Tinker Bell appears as pure light with a musical voice, while the crocodile becomes a shadow presence—time, fear, and consequence embodied—linked to both Mr. Darling and Captain Hook, played by the same actor. This lens lets us find layers in every role: Hook as more than a villain, Peter as a charming whirlwind who can also be selfish, Wendy as the spine that learns to lead. The result is a children's theater production that treats kids as artists and the audience as smart partners in the story.Our creative team is a mentorship story in motion. Former students now lead choreography, music, art design, costumes, lights, and sound, guiding a cast of 30 young performers with care and high standards. You'll hear how we direct without micromanaging, why confidence is a daily choice, and how tiny details—clock numerals stitched into Hook's coat, twig toothbrushes and bark slippers for the lost boys—help actors discover behavior and make scenes breathe. We also honor the founders whose educational vision still fuels everything we do.If you love theater that balances clarity with risk, tradition with fresh craft, and spectacle with soul, this conversation will light you up. Join us to celebrate five years of growth, 25,000 downloads across 79 countries, and a community that keeps lifting each other higher. Subscribe, share this with a theater friend, and leave a quick review to help more people find the show—then tell us: which character's arc surprised you most?Find STTS:Steps To The Stage (@stepstothestage) | InstagramFacebookSteps To The Stage (buzzsprout.com)Steps To The Stage - YouTubePlease follow on your favorite podcast platform and we appreciate 5 Star ratings and positive reviews!

University of South Florida Middle East specialist Arman Mahmoudian weighs in on the bombings in Iran and retaliatory strikes.Call: 813-755-6562Message: FloridaMatters@wusf.orgWebsite: https://www.wusf.orgSign up for our daily newsletter: https://www.wusf.org/wakeupcall-newsletterFollow us on social media:Facebook: https://www.facebook.com/WUSFInstagram: https://www.instagram.com/wusfpublicmedia/YouTube: https://www.youtube.com/channel/UCsN1ZItTKcJ4AGsBIni35gg

Lai-Ling Su: The Explicit and Implicit Layers of Unclear Decision Rights Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes. The Great Product Owner: Building Impactful Relationships That Get Things Done "What made her great was the fact that she focused not just on her technical prowess, but on the people, politics, and the performance side of product. And she used that to turn ambition into reality, and she used that to move strategy to execution." - Lai-Ling Su   Lai-Ling describes a phenomenal product owner she worked with about 12 months ago. This woman wasn't just technically strong—she was a leader whose team of 10 loved her because she mentored them to be as strong or stronger than herself.  The business loved her because she was exceptionally commercial, thinking about customer value, revenues, expenses, profit models, and marketing long before anything was built. She held everyone true to doing the right thing even when pressure mounted. The executive team loved her because her greatest strength was building solid, impactful relationships that transcended boundaries.  She removed the us-versus-them mentality, broke down departmental silos, handled politically charged scenarios, negotiated with difficult personalities across technology, legal, compliance, sales, and operations. She removed impediments responsively and got stuff done when others couldn't. Her secret was focusing on people, politics, and performance—not just technical prowess.   In this episode, we refer to Esco Kilpi's work on interactive value creation, which describes how value in knowledge organizations is created through ongoing conversations—not just meetings, but emails, wiki pages, and corridor conversations that steward decisions over time.   Self-reflection Question: How deliberately are you investing in building relationships that transcend your immediate team and department? The Bad Product Owner: Unclear Decision Rights "Does your head of product know that he has the rights and the authority to make the types of decisions that you want him to?" - Lai-Ling Su   The anti-pattern Lai-Ling encounters most persistently is unclear decision rights. She illustrates this with a story about a GM in a multinational who effectively worked as a chief product officer. His biggest complaint was that his head of product kept coming to him for decisions that should have been made independently—even though he'd been given $10 million a year to run his teams.  When Lai-Ling asked one simple question—"Does your head of product know he has the authority to make these decisions?"—the GM sat in shocked silence for a full minute. But the pattern runs deeper: there's the assumption that people know their decision rights, there's knowing your rights but not knowing how to make those decisions, and there's knowing your rights but getting trumped every time you try, leading to learned helplessness.  Some product owners have never learned to make decisions because they always defer to someone who seems better at it. There are both explicit and implicit unclear decision rights—you might tell someone they have authority while implicitly sabotaging their decisions.   Self-reflection Question: Have you explicitly confirmed with your stakeholders what decisions you have the authority to make—and are those decisions being respected in practice?   [The Scrum Master Toolbox Podcast Recommends]

Our second entry into the “Best of the Best” theme is the first Best Animated Picture: Shrek! This was awarded in the 74th Academy Awards held in 2002. What are you doing in my swamp?!... And not already listening to the pod!Shrek(0:00) Intro/Follow Up(8:47) General Consensus (13:39) Recommendations (14:40) Spoilers!(56:22) Ratings

Two Hot Takes host, Morgan, is joined by guest co-host Joe Santagato & Frank Alvarez from The Basement Yard! You guys have been waiting for this one, and I hope we delivered. We have a bunch of stories that have odd layers we're trying to peel back and sort though. For example a guy who used their Scrub Daddy as a liter box cleaner, a woman who doesn't want her future BIL at the wedding, a homicide detective that treats his partner like a suspect, and a very special "where's the beef" shirt. Can't wait to see how you would handle these ones! Checkout Joe, Frank & The Basement Yard!! : https://www.youtube.com/@TheBasementYard https://www.thebasementyard.com/ https://www.instagram.com/thebasementyard/?hl=en Partners: State Farm: Talk to a State Farm agent today to learn how you can choose to bundle and save with the Personal Price Plan! Bonus Content on Patreon including FREE stories: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.patreon.com/TwoHotTakes ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ NEW MERCH:  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://shop.twohottakes.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Send us a letter? Our PO Box!! Two Hot Takes. 5042 Wilshire BLVD. #470. Los Angeles, CA 90036  WRITE IN TO US!!! ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://reddit.app.link/twohottakes ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Full length Video episodes available on YouTube: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/c/TwoHotTakes⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Index: 00:00 -- Start Learn more about your ad choices. Visit podcastchoices.com/adchoices

The 1930s prove to be an exceptional decade for research at The General Electric Company. Katharine Burr Blodgett works closely alongside her boss, Irving Langmuir who, in 1932, wins the Nobel Prize for Chemistry. In 1938, Katharine's meticulous experiments with thin film coatings on solid surfaces lead to her most important breakthrough: non-reflecting glass. The General Electric Company's public relations machine kicks into high gear. Katharine becomes an overnight sensation, both in the scientific community and in the press, which dub her discovery “invisible glass.” The assistant to the Nobel Prize winner, long invisible herself, takes center stage.  Learn about your ad choices: dovetail.prx.org/ad-choices

Want to work directly with me to close more deals? Go Here: https://www.titaniumu.comWant the Closer's Formula sales process I've used to close 2,000+ deals (FREE) Go Here: https://www.kingclosersformula.com/closeIf you're new to my channel my name is RJ Bates III. Myself and my partner Cassi DeHaas are the founders of Titanium Investments.We are nationwide virtual wholesalers and on this channel we share EVERYTHING that we do inside our business. So if you're looking to close more deals - at higher assignments - anywhere in the country… You're in the right place.Who is Titanium Investments and What Have We Accomplished?Over 10 years in the real estate investing businessClosed deals in all 50 states​Owned rentals in 12 states​Flipped houses in 11 states​Closed on over 2,000 properties​125 contracts in 50 days (all live on YouTube)​Back to back Closers Olympics ChampionTrained thousands of wholesalers to close more deals_________________________________With over 2,000 Videos, this is the #1 channel on YouTube for all things Virtual Wholesaling. SUBSCRIBE NOW!    https://www.youtube.com/@RJBatesIII_________________________________RESOURCES FOR YOU:If you want my team and I to walk you through how to build or scale your virtual wholesaling business from A to Z, click here to learn more about Titanium University: https://www.titaniumu.com(FREE) If you want to learn how to close deals just like me, The King Closer, then download the free King Closer Formula PDF: https://www.kingclosersformula.com/close(FREE) Click here to grab our Titanium fleet free PDF & training: Our battle tested strategies and tools that we actually use… and are proven to work: https://www.kingclosersformula.com/fleetGrab the King Closer Blueprint: My Step by Step Sales Process for closing over 2,000 deals (Only $37): https://www.kingclosersformula.com/kcblueprintGrab Titanium Profits: Our exact system we use to comp and underwrite deals in only 4 minutes. (Only $99) https://www.kingclosersformula.com/titaniumprofitsSupport the show

In Episode 17 of High Stakes, Tracey Devlyn sits down with USA Today bestselling author Danielle Girard to discuss PINKY SWEAR—a tense, propulsive psychological thriller that hits you right in the heart. “Heartfelt, twisty, and even shocking, Pinky Swear is a triumph.” —Alex Finlay, bestselling author of Parents Weekend PINKY SWEAR:
 https://books2read.com/DGirardPSwear Author's Website:
 https://DanielleGirard.com Show Notes:
 https://traceydevlyn.com/podcast Love this episode? Rate it ⭐️ Thumbs Up

Why do civilizations turn against their own greatness, and what happens when they do? In this episode of Context with Brad Harris, we trace the psychology of civilizational decline, from the Great Wall of China and the Apollo program to the Department of Justice's 2026 lawsuit against UCLA Medical School, asking why modern Western culture increasingly treats excellence as a moral threat. Drawing on Alain de Botton's book Status Anxiety and Ayn Rand's The Fountainhead, we explore how status anxiety breeds resentment, how resentment disguises itself as compassion, and how institutions captured by this cycle begin to reward narrative over competence, with consequences that can be lethal. This episode builds on my previous episodes Which Humanity Survives and Layers of Meaning in Human History to ask: do we still have the civilizational courage to revere greatness? Follow me on X @bradcoleharris To listen ad-free and access lots of additional bonus episodes, join me on Patreon or subscribe directly through Apple Podcasts or Spotify.

Decluttering sentimental clutter does not feel like tidying.It feels like loss.And if you've ever picked up a card, a drawing, a tiny object from years ago and suddenly felt a lump in your throat… you know exactly what I mean.Why does something so small feel so big?Why does letting go feel risky… even when you're desperate for more space?In this episode, I unpack what I've been seeing online about ADHD and sentimental clutter and I go much deeper. Yes, there is truth in what's being said. But it's often oversimplified. And oversimplifying something this emotional does not help you declutter.I break down the three real layers that make letting go feel so painful.Not in a dramatic way.In a grounded, practical, home organization way.Because this isn't about being messy.It's about memory, emotion, identity, and decision-making all colliding at once.If you're overwhelmed by clutter and struggling with sentimental items…If you keep starting and stopping your organizing because it feels too heavy…If you want realistic declutter strategies that don't ignore your emotions…This episode is for you.I talk about:• Why sentimental items can feel like proof of your life• The “what if I regret it?” spiral that keeps you stuck• Why decluttering truly takes more mental steps than most people realise• How to reduce overwhelm without forcing yourself into harsh decisionsAnd I share one simple, intentional strategy you can start using immediately to stop sentimental clutter from taking over your home.Because your home does not need to hold every memory to prove your life mattered.You don't need more guilt.You don't need more pressure.You need clarity, structure, and support.Whether you have ADHD, suspect you do, or you're simply navigating family life and home organization while juggling a million things, this conversation will help you understand what's actually happening beneath the surface.And once you understand it, organizing becomes easier.Decisions become lighter.And overcoming overwhelm becomes possible.If you've been avoiding one drawer, one box, or one pile because it feels too emotional, start here.Press play.And let's make decluttering feel intentional instead of painful.PRIZE DRAW

 Jib Machine Records is pleased to announce that its kicking off 2026 with some exciting news. Signed with Jib Machine since 2021, one of punk music's most notorious bands, Nihilistics, are featured in the new multi-CD release, “CBGB – A New York city Soundtrack 1975-1986”. The project is out now via Cherry Red Records and features their song “You're To Blame”. The four-piece hardcore band, comprised of Ron Rancid, Ajax Lepinksi, Joe Dread and Troy, first took on the New York scene in 1979. Among the band's more notorious live concerts, are their first-ever gig that resulted in Rancid's arrest. The legend grew and from there the band gigged at the famed CBGB and a slew of other Manhattan clubs followed, as did several albums to their name. Additional artists on the Cherry Red Records release include Talking Heads, Mumps, Blondie, Sonic Youth and more. Become a supporter of this podcast: https://www.spreaker.com/podcast/arroe-collins-like-it-s-live--4113802/support.

Ep 515 - Five years after purchasing the celebrated Bluepoint Games, Sony flushes them down the drain. In lighter news, Blood is back to share stories from DICE, and we have impressions of Mario Tennis Fever, Demon Tides, Scott Pilgrim, and more! Become a patron to get the extended cut: https://www.patreon.com/posts/extended-sony-151223167 00:00 - Intro 04:38 - .hack//Z.E.R.O. Revealed! 09:13 - Layers of Fear 3 Announced 13:22 - The Escapist Replaced by AI 18:44 - Sony Closes Bluepoint Games 39:14 - DICE Awards and Stories from Bloodworth 47:50 - A Word From Our Sponsors 50:14 - My One Piece 54:57 - My One Thing 01:01:06 - Mario Tennis Fever Impressions 01:11:45 - Awaysis Preview 01:18:01 - Scott Pilgrim EX Demo Impressions 01:27:23 - Demon Tides Impressions 01:33:38 - L&R: What Next? 01:39:04 - L&R: A Resident Evil Pairing 01:43:43 - L&R: Olympic Video Games 01:50:24 - Bets 01:56:47 - Closing Go to https://www.shopify.com/allies for a one-dollar-per-month trial period to grow your business–no matter what stage you're in. Check out the game Blood's launching this week, Horripilant: https://store.steampowered.com/app/3525970/Horripilant/ Learn more about your ad choices. Visit podcastchoices.com/adchoices

After spending a couple of days reading the Pioneer Mother narratives written by members of the Gardar Homemakers Club, all descendants of Icelandic immigrants, their stories preserved in the collections of the Institute for Regional Studies, NDSU, I am left with questions.

Renue Healthcare https://Renue.Healthcare/ToddYour journey to a better life starts at Renue Healthcare. Visit https://Renue.Healthcare/Todd Bulwark Capital https://KnowYourRiskPodcast.comBe confident in your portfolio with Bulwark! Schedule your free Know Your Risk Portfolio review. Go to KnowYourRiskPodcast.com today. Alan's Soaps https://www.AlansArtisanSoaps.comUse coupon code TODD to save an additional 10% off the bundle price.Bonefrog https://BonefrogCoffee.com/ToddGet the new limited release, The Sisterhood, created to honor the extraordinary women behind the heroes.   Use code TODD at checkout to receive 10% off your first purchase and 15% on subscriptions.LISTEN and SUBSCRIBE at:The Todd Herman Show - Podcast - Apple PodcastsThe Todd Herman Show | Podcast on SpotifyWATCH and SUBSCRIBE at: Todd Herman - The Todd Herman Show - YouTubePrince Andrew was NOT arrested for ANYTHING to do with the Epstein files… OK… Far more interesting to me are the layers of denial that exist among elitists. You can also see this in the separate country of Washington StateEpisode Links:Pulp Fiction co-writer Roger Avary told Rogan that Hollywood normalized Moloch worship to Americans through predictive programming.BREAKING: UK police have arrested Prince Andrew in relation to the Epstein files.Independent journalist Kim Iversen names the Epstein clients that Virginia Giuffre could not name. The following are the clients: 1) Ehud Barak 2) Glenn Dubin 3) Thomas Pritzker 4) Leon Black 5) Bill Richardson 6)George MitchellEXCLUSIVE: Transgender Pro-Pedophile ‘MAP' Activists Publicly Campaigning in SeattleHaley Robson recruited at least 24 underage girls for a predator. She collected $200 a head. She sat poolside while minors were assaulted behind closed doors. The detective told her to her face that she'd committed a second-degree felony. Those are her own words on camera. There are legitimate questions about how someone with that level of involvement gets rebranded as purely a "survivor."Mirjam Heine, German Doctor: It is our responsibility to accept pedophiles. We should respect their feelings — because if we do not, we make them feel isolated, and will ultimately lead them to sexually abuse more childrenPulp Fiction co-writer Roger Avary told Rogan that Hollywood normalized Moloch worship to Americans through predictive programming.

At the bottom of Grand Canyon you can touch rocks from the original creation while touching flood layers. Why is that we have these distinct layers?

Dr. Bob Winters—The Confidence Doctor—is back for round two, and this conversation is a straight-up masterclass in what actually creates elite confidence. Because here's the truth: most golfers (and high performers) don't have an information problem. They have a compliance problem. We talk about why "positive thinking" is useless without "positive doing," how Dr. Bob uses a deceptively simple question—"Are you good?"—to expose blind spots, and why real confidence is earned through proof, not hype. We also go to a deeper place: the cost of becoming elite. The strain. The sacrifice. The quiet moments where you wonder if it's worth it. And why, for the people who truly want it, the hard is what makes it great. In this episode, you'll learn: Why "positive doing" is the missing link between ambition and results The simple question that exposes confidence… or hidden self-doubt How to stop "knowing what to do" but still not doing it What elite performers do differently when setbacks knock them down The real cost of elite confidence—and why it's worth paying How to use selective attention to train your focus (and your results) Why compliance is the separator between winners and wannabes Get your pencils ready and start listening.  P.S. Check out episode 76 for my past conversation with Dr. Bob.  P.P.S. Curious to learn more about the results my clients are experiencing and what they say about working with me? Read more here. Apply for 1-1 Mindset and Performance Coaching: Click here to apply to work with me. More About Dr. Bob Winters Dr. Robert K. Winters, affectionately known as "Dr. Bob," is an internationally renowned sports psychologist, author, and professional speaker with over 45 years of experience in the field of sports performance.  He holds a Ph.D. in Sport Psychology from the University of Virginia, along with Bachelor's and Master's degrees from Ball State University. Dr. Winters has dedicated his career to understanding the psychological components of athletic excellence, focusing on confidence development and mental toughness.  He has worked with a diverse range of athletes, including PGA and LPGA Tour professionals, collegiate teams, and junior athletes Purchase "The 10 Commandments of Mindpower Golf" Connect on Instagram - @dr.bobwinters  Play to Your Potential On (and Off) the Course Schedule a Mindset Coaching Discovery Call Subscribe to the More Pars than Bogeys Newsletter Download my "Play Your Best Round" free hypnosis audio recording. High-Performance Hypnotherapy and Mindset Coaching Paul Salter - known as The Golf Hypnotherapist - is a High-Performance Hypnotherapist and Mindset Coach who leverages hypnosis and powerful subconscious reprogramming techniques to help golfers of all ages and skill levels overcome the mental hazards of their minds so they can shoot lower scores and play to their potential. He has over 16 years of coaching experience working with high performers in various industries, helping them get unstuck, out of their own way, and unlock their full potential. Click here to learn more about how high-performance hypnotherapy and mindset coaching can help you get out of your own way and play to your potential on (and off) the course.  Instagram: @thepaulsalter Key Takeaways: Positive thinking without positive doing is emotional entertainment, not transformation. Confidence grows fastest when you collect proof—small wins, repeated, over time. "Are you good?" is a diagnostic question that reveals belief, hesitation, and identity. Most people aren't stuck because they don't know what to do—they're stuck because they won't do it consistently. Setbacks are training reps for resilience: reset, reframe, re-engage—especially in golf. Elite confidence has a cost: sacrifice, discomfort, doubt, and the willingness to keep going anyway. Compliance is the hard truth—if you won't do what you said you'd do, you're not committed, you just like the idea. Key Quotes: "I turn the improbable into possible." "We talk about positive thinking… but you have to have positive doing." "It takes a long time to learn how to play like yourself." "You do it until you become it." "We've got to get through the suck before we get through the success." "It's the hard that makes it great." "Are you doing what you said you wanted to do?" Time Stamps: 00:00: Introduction to Dr. Bob's Work 02:33: Bridging Positive Thinking and Doing 05:42: Peeling Back the Layers of Self-Discovery 08:34: The Cost of Elite Confidence 11:21: The Importance of Compliance and Accountability 14:19: The Role of Resilience in Success 17:05: The Journey of Self-Discovery and Growth 19:38: The Power of Self-Reflection 22:52: The Importance of Authenticity 25:33: The Balance of Selfishness and Self-Fullness 28:18: The Hard Work Behind Success 30:53: The Role of Truth in Personal Growth 33:39: The Mindset of Winners 36:45: Final Thoughts and Resources

✈️ Retire Pilots the Right Way!

Met de PlayStation State of Play nog vers in het geheugen, de aanloop naar Resident Evil Requiem, recente releases én gloednieuwe aankondigingen is er weer genoeg te bespreken! Simon en Jacco hebben een hartig woordje over voor God of War: Sons of Sparta, maar ook voor de aangekondigde trilogie-remake. Martin is ondertussen in High on Life 2 gedoken, en de jongens duiken ook nog in hun favoriete interviews ooit. Benieuwd welke dat zijn? Check dan snel de aflevering, baklap!00:00 Intro01:05 Simon zijn ‘spannende' carnaval04:30 E-sportopleiding10:25 Denis Dyack-interview14:10 Layers of Fear 3-aankondiging17:25 Aanloop naar Resident Evil Requiem25:50 High on Life 229:50 Death Howl39:20 God of War: Sons of Sparta53:45 Twijfels over God of War-trilogie-remake57:10 Favoriete interviews01:07:25 Gecancelde Ubisoft-games01:11:00 Outro

Chrissy Balk, plant pathologist and technical advisor at the Davey Institute, talks about the intricate and fascinating anatomy of trees, including the function of each internal trunk layer, how root systems work, how water moves within a tree and the structure and role of the canopy.In this episode we cover: Chrissy's experience teaching the anatomy of trees (1:00)Heartwood layer (2:25)Growth rings and tree size (3:27)Cambium layer (6:04)Do the inner layers of a tree depend on its species? (6:50)Bark and order of inner layers (7:49)Inner water distribution (8:41)Dawn redwoods (9:45)Root systems (10:30)Are there different kinds of roots? (15:47)Tree canopies (16:28)Have a certified arborist evaluate your trees (18:40)Chrissy's love of dahlias (20:00)To find your local Davey office, check out our find a local office page to search by zip code.To learn more about the Davey Institute, visit The Davey Institute | Davey TreeConnect with Davey Tree on social media:Twitter: @DaveyTreeFacebook: @DaveyTreeInstagram: @daveytreeYouTube: The Davey Tree Expert CompanyLinkedIn: The Davey Tree Expert Company Connect with Doug Oster at www.dougoster.com. Have topics you'd like us to cover on the podcast? Email us at podcasts@davey.com. We want to hear from you!Click here to send Talking Trees Fan Mail!

For fun, Martin has a direct conversation with Grok about UFOs, Elon Musk, and Starlink. We examine Musk's claim that with thousands of Starlink satellites in orbit, none have ever had to dodge an alien craft — and whether that actually proves anything given the vastness of space.The discussion moves into some of the most compelling UFO cases on record, including the 2004 Nimitz encounter, the Phoenix Lights, and the 1994 Ariel School incident in Zimbabwe. Another great Grok opinion: "Maybe those kids got a backstage pass to something bigger!"We explore pilot testimony, mass sightings, centuries-old reports, and why certain cases continue to stand out decades later. The conversation also touches on government technology, drones, long-standing historical accounts, and whether humanity may simply be missing part of the bigger picture. A thoughtful, candid exchange blending AI analysis with research and opinions.

When the house gets quiet and the weight of missing your child feels heavier than you can possibly bear, it's natural to look for a place to retreat. Whether you are leaning on your family to carry the weight or retreating inward to manage it all alone, you might be surprised to find that your "hiding place" is actually a response to the hidden layers of grief that no one warned you about. This episode is a gentle but honest look at how we survive the unthinkable. We're moving past the surface-level "I'm fine" and looking at the patterns that quietly shape your days. If you feel like you're stuck in a cycle of just getting through the next hour, this conversation will help you identify the deeper layers keeping you isolated so you can begin to find your way back to a place of connection. Inside this conversation, you'll discover: The "Hiding Place" Audit: How to identify where you are retreating—whether it's through "staying busy," scrolling, or complete emotional shutdown. The Burden of the Surviving Child: A candid look at whether you are unintentionally asking your other children to carry more than they were meant to. Isolation vs. Solitude: Why your current coping mechanisms might be keeping you stuck in survival mode instead of moving toward healing. The "Function over Feeling" Trap: Why staying busy feels like safety, but might actually be the very thing keeping your heart from finding rest. I want you to know that you don't have to carry the heavy layers of loss by yourself. There is a safe place for you to be seen, heard, and understood without judgment. Press play, take a deep breath, and remember that even in your darkest hiding place, God sees you, He loves you, and He is waiting to meet you right where you are.   ✨ Live Gathering for Grieving Moms — February 26 & 27 If you're realizing that life without your child has shifted everything — the way you see yourself, your relationships, and the future you thought you were moving toward — you don't have to navigate that disorientation on your own. I'm hosting a two-day live gathering for grieving moms. This will be a time to come together, be present, and talk honestly about grief, identity, and what it looks like to keep lliving when life no longer feels familiar.

Sony is holding back the PS6 until 2028 or 2029, Solid Snake has finally met Sam Fisher, and the Silent Hill 2 Remake studio have revealed their next game. Thank you for the support! Run of Show - - Start - Sony is considering holding back PlayStation 6 until 2028 or 2029, report claims - Solid Snake voiced by David Hayter is BACK… in Rainbow Six Siege - Bloober Team's big reveal is Layers of Fear 3 - Ad - RIP to a couple of gaming legends - Mike's Battlefield Impressions - Wee News! - SuperChats & You‘re Wrong Learn more about your ad choices. Visit megaphone.fm/adchoices

In this enlightening conversation, Kimberly Snyder and Inna Segal explore the profound connection between emotions, physical health, and self-healing. Inna shares her philosophy on the intrinsic ability to heal ourselves, emphasizing the importance of understanding our emotions and their impact on our bodies. They discuss practical techniques for energy healing, the significance of personal experiences in the healing journey, and the transformative power of intention and awareness. The conversation culminates in a guided exercise to release fear and regret, showcasing the accessibility of self-healing practices.Chapters00:00 Empowerment Through Self-Healing02:58 Understanding Emotions and Their Impact05:43 The Connection Between Emotions and Physical Health08:49 Personal Experiences with Healing11:44 Ancestral Influences on Health14:52 The Role of Communication in Healing17:54 Personalization in Healing Practices21:03 Practical Steps for Self-Healing23:53 Addressing Fear and Anxiety29:58 Facing Fears and Uncertainties31:24 Transforming Fear Through Visualization33:37 Understanding the Layers of Fear37:25 Letting Go of Regrets and Mistakes40:23 Empowerment Through Self-Healing49:22 Connecting with Inner Wisdom and Healing PracticesSponsors: FATTY15 OFFER: Fatty15 is on a mission to replenish your C15 levels and restore your long-term health. You can get an additional 15% off their 90-day subscription Starter Kit by going to fatty15.com/KIMBERLY and using code KIMBERLY at checkout.USE LINK: fatty15.com/KIMBERLY FEEL GOOD DIGESTIVE ENZYMESOFFER: Go to mysolluna.com and use the CODE: PODFAM15 for 15% off your entire order. USE LINK: mysolluna.com CODE: PODFAM15 for 15% off your entire order. Inna Segal Resources: Book: The Secret Language of Your Body Website: innasegal.com Instagram: @innasegalauthor Bio: Inna Segal is the award-winning best-selling author of The Secret Language of Your Body: The Essential Guide to Health and Wellness which has sold over 1 million copies and has been translated into 27 languages. Her other books include The Secret of Life Wellness, Understanding Modern Spirituality and The Secret Language of Your Soul. Inna has also created a variety of helpful healing audios and in-depth online programs. Her mission is to help people to awaken their inner life and step onto their true path of wellness, creativity, and to acknowledge their gifts and abilities that their spirit has brought to them.Her books, cards and events are based on deep ancient wisdom, combined with a modern understanding of what we need right now to be our best selves, and the processes which allow us to grow and expand in a safe, profound and lasting manner. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Tonight — the question no one can answer: how does an eighty-four-year-old woman disappear in a world of cameras, GPS, and digital footprints?Twelve days. More than a hundred investigators. FBI resources. Eighteen thousand tips. And Nancy Guthrie is simply gone. No vehicle of interest. No suspects. No confirmed sighting since she walked through her own front door.Former FBI Special Agent Robin Dreeke joins us live. He ran the Bureau's Counterintelligence Behavioral Analysis Program — a world where people professionally try to move without being detected. He knows the gaps in the surveillance architecture. Tonight he explains how they get exploited.Nancy had a doorbell camera. A pacemaker app connected to her phone. Family nearby. Layers of protection on paper. None of it stopped what happened.Dreeke breaks down the blind spots. What an extraction like this actually requires. Why there's no vehicle trace. What the limits of our surveillance infrastructure really look like. And what this case should teach everyone about the security we assume we have versus the security that actually exists.#NancyGuthrie #RobinDreeke #HiddenKillersLive #SurveillanceGaps #FBIExpert #MissingPerson #SavannahGuthrie #HowToDisappear #TrueCrimeLive #CatalinaFoothillsJoin Our SubStack For AD-FREE ADVANCE EPISODES & EXTRAS!: https://hiddenkillers.substack.com/Want to comment and watch this podcast as a video? Check out our YouTube Channel. https://www.youtube.com/@hiddenkillerspodInstagram https://www.instagram.com/hiddenkillerspod/Facebook https://www.facebook.com/hiddenkillerspod/Tik-Tok https://www.tiktok.com/@hiddenkillerspodX Twitter https://x.com/TrueCrimePodListen Ad-Free On Apple Podcasts Here: https://podcasts.apple.com/us/podcast/true-crime-today-premium-plus-ad-free-advance-episode/id1705422872This publication contains commentary and opinion based on publicly available information. All individuals are presumed innocent until proven guilty in a court of law. Nothing published here should be taken as a statement of fact, health or legal advice.

Confidence isn't something you force, it isn't something you fake and it definitely isn't something you earn by pushing through fear. In this episode, I'm breaking down what actually builds confidence - for both you and your horse - and why safety, clarity, and connection are the real foundations for trusting partnership. If you've ever: Second-guessed yourself on the ground or in the saddle Felt confident at home but wobbly in new environments Watched your horse freeze, balk, react, or shut down Tried to "just be braver" but felt your body resist This conversation will shift how you see confidence entirely. Inside this episode, I walk you through the 5-layer confidence framework I use with my clients: Cultivating a foundation of safety (internally and externally) Understanding the principles behind behavior and communication Building connection from the ground up Gentle, consent-based exposure training (not flooding) Inner alchemy and learning how to expand your capacity without overriding yourself You'll learn why confusion, pain, and fear erode confidence... and how to work with your nervous system (and your horse's) instead of against it. Confidence becomes a byproduct when your foundation is stable enough to hold you. Resources & Next Steps If you'd like to explore further: The Field Client Stories Podcast Playlist — hear conversations with past clients sharing about their journey with their horses through The Field or CEP (the former iteration of The Field) Prepare Your Horse for Any Environment Training Checklist - Whether your horse is spooky, tense, young, or naturally quiet, this free checklist will help you set both yourself and your horse up for success from the ground up. The Field — The Field is a 12-week practical + intuitive horsemanship mentorship experience for compassionate equestrians who want grounded tools, emotional support and a clear plan to help both themselves and their horses feel calmer, more confident and deeply understood. ✨ Connect with me:https://www.instagram.com/felicitydavies_/ https://www.facebook.com/felicitydavieshorses/ https://www.felicitydavies.com.au/ teamfelicitydavies@gmail.com You've got this, Felicity 

Some headlines. Some opinions. Some moments we didn't see coming. It's all in today's episode.

Some headlines. Some opinions. Some moments we didn't see coming. It's all in today's episode.

The only woman in a laboratory filled with men, Katharine Burr Blodgett soon becomes indispensable as an assistant to The General Electric Company's most famous scientist, Irving Langmuir. Their working relationship is an elegant symbiosis: her forte is experimentation, his is scientific theory. We follow their partnership as they successfully find ways to build a better lightbulb but Langmuir stumbles with an off-the-wall theory of matter. All the while, Katharine builds her life in Schenectady: going to church, making new friends, falling in love. In 1924, she embarks on a new journey to the University of Cambridge, where she studies with some of the most prominent physicists of the 20th century.  Learn about your ad choices: dovetail.prx.org/ad-choices

Today my guest is Nachiket Mor, a health economist whose work focuses on the design of national and regional health systems. He is a visiting scientist at the Banyan Academy of Leadership in Mental Health, a senior research fellow at the Centre for Information Technology and Public Policy at IIIT Bangalore, and a commissioner and author on the Lancet Citizens' Commission on Reimagining India's Health System, which published its final report in The Lancet in January 2026. We talked about the different layers of the Indian healthcare system, the design and policy failures in both public and private sector healthcare, the role of community workers, the health insurance and regulation market, and much more.  Recorded January 29th, 2026. Read a full transcript enhanced with helpful links. Learn more about The 1991 Fellowship. Connect with Ideas of India Follow us on X Follow Shruti on X Follow Nachiket on X Click here for the latest Ideas of India episodes sent straight to your inbox. Timestamps (00:00:00) - 1991 Fellowship (00:01:11) - Intro (00:02:32) - Policy Design Failure in India's Healthcare System (00:07:43) - Layers of Indian Healthcare (00:14:04) - ASHA Workers (00:23:59) - State Capacity (00:26:47) - The Exit to the Private Sector (00:34:00) - Getting Ambitious with ASHA Workers (00:37:54) - Stacking Healthcare (00:51:53) - India's Private Sector Healthcare (01:05:14) - Government Insurance Instruments (01:13:10) - Insurance Regulation in India (01:41:09) - Outro

In this week's episode, we spotlight one of the most famous and beloved of the heritage breeds - the Cochin! In our main topic we discuss winters layers; what are they, which breeds, a few studies, and best practices. We share our recipe for easy and delicious Mud Hen Bars and provide some retail therapy with Nutrena Naturewise Tidbits.Grubbly Farms - click here for our affiliate link.https://www.anrdoezrs.net/click-100963304-15546963Pre and Probiotic and Vitamin and Electrolyte Powders!Bright and Early Coffee - use code CWTCL15 for 15% off of any bagged coffee. K Cups always ship free!https://brightandearlycoffee.com/Omlet Coops- Use Our Affiliate Link and COFFEE10 code for 10% off!https://tidd.ly/3Uwt8BfBreed Spotlight is sponsored by Murray McMurray Hatcheryhttps://www.mcmurrayhatchery.com/Metzer Farms Waterfowlhttps://www.metzerfarms.com/Eaton Pet and Pasture - Use code COFFEE for a discount on first-time purchases.Nestera UShttps://nestera.us/cwtclUse our affiliate link above for 5% off your purchaseMud Hen Bars - https://coffeewiththechickenladies.com/farm-fresh-egg-recipes/mud-hen-bars/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/coffeewiththechickenladiesSupport the show

Katharine Burr Blodgett arrives at The General Electric Company's legendary research laboratory in Schenectady, New York, known as the “House of Magic.” She was just 20 years old when she entered a world built almost entirely for men. She joins as assistant to the brilliant and eccentric Irving Langmuir, a star chemist whose fundamental work in materials science and light bulbs would bring fame to him, and fortune to GE. The General Electric Company was an obvious choice for a brilliant young scientist. But was it the promise of scientific discoveries that drew Katharine to Schenectady or the need to confront the personal tragedy that marked the place where her own story began? Perhaps it was both. Learn about your ad choices: dovetail.prx.org/ad-choices

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