Podcasts about Produce

Black Power, Inc.: Corporate America and the Rise of Multinational Empowerment Politics, (U Pennsylvania Press, 2026), traces the rise of Black empowerment politics in the United States and Africa. On a cold January day in 1964, civil rights minister turned entrepreneur Rev. Leon Howard Sullivan declared to a group of supporters gathered to witness the launch of Sullivan's latest venture, Opportunities Industrialization Centers, Inc., “The day has come when we must do more than protest—we must now also PREPARE and PRODUCE!” Occasionally linked with the movement for Black Power, Sullivan and others, including Coca-Cola vice president Carl Ware and Atlanta mayor Andrew Young, were in fact architects of Black empowerment—an intellectual and political movement that championed private enterprise as the key to Black people's prosperity.Jessica Ann Levy traces Black empowerment's rise in American politics—from early twentieth-century influences including Booker T. Washington and Marcus Garvey to the cities of postwar America into corporate boardrooms and government offices—and across the Atlantic Ocean to Africa. Civil rights leaders, Black entrepreneurs, white corporate executives, and government officials all championed Black empowerment as a means to address multiple crises in US cities and to blunt some of the more radical aspects of the Black Power movement. Black empowerment politics likewise found application overseas in various Cold War efforts to promote American-style free enterprise in Africa. This was especially the case in South Africa, where US corporate executives and government officials wielded Black empowerment politics to oppose apartheid and divestment.By the early twenty-first century, the idea that private enterprise, including small-scale entrepreneurs and large multinational corporations, should play a leading role in combating racial inequality and empowering Black and other marginalized people featured prominently in various policies and programs at the local, national, and international level. By tracing Black empowerment politics' evolution, Black Power, Inc. explains its popularity, championed by leaders from Bill Clinton to Nelson Mandela, while also revealing its role in expanding US corporate power, locally and globally. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/african-american-studies

Today, a reefer expert is back, Cody Koehler of A & Z Trucking, to dive into the volatility currently hitting the reefer freight market!  Are you prepared for the upcoming peak produce and floral seasons in Florida? We break down the Tampa to Cleveland lane, analyzing why we're seeing a significant year-over-year rate increase and how political factors and weather events are tightening capacity across the country. Cody shares his insights on freight lane analysis, the importance of honoring quoted rates to maintain shipper trust, and why proactive communication is your best tool when capacity gets tight. Whether you're navigating spot market rates or managing long-term contracts, we discuss the best practices for building a resilient book of business in an unpredictable environment!   About Cody Koehler Cody is a 21-year veteran in supply chain/logistics. He has done just about everything in this industry minus holding his CDL (he did drive a yard dog though). In his current role, he oversees the sales and marketing teams for A&Z trucking, a 20-year old brokerage that specializes in produce and reefer freight, as well as cold storage and cross docking.   Connect with Cody LinkedIn: https://www.linkedin.com/in/cody-koehler-1a922b162/  Website: https://aandztrucking.com/  Email: info@aandztrucking.com  

Black Power, Inc.: Corporate America and the Rise of Multinational Empowerment Politics, (U Pennsylvania Press, 2026), traces the rise of Black empowerment politics in the United States and Africa. On a cold January day in 1964, civil rights minister turned entrepreneur Rev. Leon Howard Sullivan declared to a group of supporters gathered to witness the launch of Sullivan's latest venture, Opportunities Industrialization Centers, Inc., “The day has come when we must do more than protest—we must now also PREPARE and PRODUCE!” Occasionally linked with the movement for Black Power, Sullivan and others, including Coca-Cola vice president Carl Ware and Atlanta mayor Andrew Young, were in fact architects of Black empowerment—an intellectual and political movement that championed private enterprise as the key to Black people's prosperity.Jessica Ann Levy traces Black empowerment's rise in American politics—from early twentieth-century influences including Booker T. Washington and Marcus Garvey to the cities of postwar America into corporate boardrooms and government offices—and across the Atlantic Ocean to Africa. Civil rights leaders, Black entrepreneurs, white corporate executives, and government officials all championed Black empowerment as a means to address multiple crises in US cities and to blunt some of the more radical aspects of the Black Power movement. Black empowerment politics likewise found application overseas in various Cold War efforts to promote American-style free enterprise in Africa. This was especially the case in South Africa, where US corporate executives and government officials wielded Black empowerment politics to oppose apartheid and divestment.By the early twenty-first century, the idea that private enterprise, including small-scale entrepreneurs and large multinational corporations, should play a leading role in combating racial inequality and empowering Black and other marginalized people featured prominently in various policies and programs at the local, national, and international level. By tracing Black empowerment politics' evolution, Black Power, Inc. explains its popularity, championed by leaders from Bill Clinton to Nelson Mandela, while also revealing its role in expanding US corporate power, locally and globally. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network

Black Power, Inc.: Corporate America and the Rise of Multinational Empowerment Politics, (U Pennsylvania Press, 2026), traces the rise of Black empowerment politics in the United States and Africa. On a cold January day in 1964, civil rights minister turned entrepreneur Rev. Leon Howard Sullivan declared to a group of supporters gathered to witness the launch of Sullivan's latest venture, Opportunities Industrialization Centers, Inc., “The day has come when we must do more than protest—we must now also PREPARE and PRODUCE!” Occasionally linked with the movement for Black Power, Sullivan and others, including Coca-Cola vice president Carl Ware and Atlanta mayor Andrew Young, were in fact architects of Black empowerment—an intellectual and political movement that championed private enterprise as the key to Black people's prosperity.Jessica Ann Levy traces Black empowerment's rise in American politics—from early twentieth-century influences including Booker T. Washington and Marcus Garvey to the cities of postwar America into corporate boardrooms and government offices—and across the Atlantic Ocean to Africa. Civil rights leaders, Black entrepreneurs, white corporate executives, and government officials all championed Black empowerment as a means to address multiple crises in US cities and to blunt some of the more radical aspects of the Black Power movement. Black empowerment politics likewise found application overseas in various Cold War efforts to promote American-style free enterprise in Africa. This was especially the case in South Africa, where US corporate executives and government officials wielded Black empowerment politics to oppose apartheid and divestment.By the early twenty-first century, the idea that private enterprise, including small-scale entrepreneurs and large multinational corporations, should play a leading role in combating racial inequality and empowering Black and other marginalized people featured prominently in various policies and programs at the local, national, and international level. By tracing Black empowerment politics' evolution, Black Power, Inc. explains its popularity, championed by leaders from Bill Clinton to Nelson Mandela, while also revealing its role in expanding US corporate power, locally and globally. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/african-studies

El pasado miércoles 11 de marzo se estrenó Scárpetta, la adaptación audiovisual de la famosa saga de novela negra de la escritora Patricia Cornwell, quien ha vendido más de 120 millones de libros. La trama sigue a una médica forense brillante que utiliza técnicas científicas avanzadas para resolver asesinatos, iniciando con el inquietante caso de una mujer hallada muerta en las vías del tren. Nicole Kidman, además de ser la protagonista, ejerce como productora ejecutiva, consolidando su exitosa trayectoria en la televisión tras proyectos como Big Little Lies. El reparto es de máximo nivel interpretativo, contando con las ganadoras del Óscar Jamie Lee Curtis, en el papel de la hermana de la protagonista, y Ariana DeBose, junto al actor Bobby Cannavale como el detective Pete Marino. La producción está estructurada como una serie limitada de ocho episodios de unos 50 minutos de duración, ofreciendo un desarrollo profundo de los personajes más allá del misterio criminal.

Something To Think About Series #357 Thought of the day from Venerable Robina Courtin

Join us as we look back at the stunning 1-0 win at Middlesbrough and ahead to Saturday's trip to Oxford United, hearing from Nathan Jones and Conor Coady.Thanks to our sponsors PSF Steel Ltd for making this show possible. Hosted on Acast. See acast.com/privacy for more information.

A Western Intelligence source tells CNN that Russia is sharing advanced drone tactics with Iran. A new report predicts inflation will rise – we break it down. Iran attacked two ships in the Strait of Hormuz, while member countries of the International Energy Agency say they will release 400 million barrels of oil into the market. An investigation found a surprising percentage of fruit and vegetables contain “forever chemicals.” Plus, an Iranian soccer player offered asylum in Australia has a change of heart. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Do a quick search on YouTube and you will find plenty of videos on this subject.  Some pretty useful but most are full of hype as they attempt to cram as many varieties of things into them as possible.  You will also find a great deal of “debunking” videos saying the entire practice is pointless and doesn’t work.  That just because a celery core grows some roots doesn’t mean you can get celery from it. In this case both sides sort of have a point.  Something really are not worth the effort even if minimal production can be acquired.  Some … Continue reading →

In this episode of The Dr. Ashley Show, I sit down with Dr. Traci Gapin to break down performance medicine, HRV tracking, testosterone optimization for men and women, gut health, creatine supplementation, and the real root causes behind low energy and metabolic dysfunction. We dive deep into biomarkers, protein intake, sleep optimization, CGMs, and how to take control of your metabolic health instead of relying on the broken traditional healthcare model. I just released another video that walks you through exactly how to lose weight rapidly without wrecking your hormones or crashing your energy.Watch it here: ⁠⁠https://youtu.be/IRLOzby5FBQ⁠⁠ GET A CUSTOMIZED WEIGHT LOSS PLAN: Have a free 1-on-1 call with our Expert Nutritionists

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

Overview: We explore how ⁠South Park Senior Citizens⁠ transformed from an institutional, siloed resource hub into a vibrant cultural community, using food as a powerful tool for healing and connection. We dig into the intentional redesign of their dining experience, creating a welcoming space where elders from diverse backgrounds gather around beautifully set tables to share meals, stories, and traditions. Through immersive cultural programming, farm-to-table partnerships, and a dedicated team who speak the languages and share the lived experiences of their community, we show how addressing food insecurity is deeply tied to combating social isolation, honoring elders, and fostering meaningful cross-cultural relationships. The conversation is a rich reminder that culturally responsive care is less about big budgets and more about intentionality, dignity, and truly seeing those we serve Three Takeaways: Food as Medicine—Beyond Nutrition: Both Raj Sundar and Katherine Jordan highlight the idea that “food as medicine” doesn't just mean what's on the plate, but also how it's eaten: in community, slowly, and with care ([00:03:11 - 00:03:24]). The very act of sharing meals, learning new cuisines, and eating together combats social isolation and boosts emotional health, especially for seniors carrying trauma from displacement and war. Intentional Cultural Immersion: The “Culture Focus” program is a standout takeaway—seven months dedicated to immersing seniors in each other's traditions through meals, dance, music, language, and field trips ([00:10:11 - 00:11:23]). This intentional approach doesn't just celebrate diversity; it actively reduces silos and builds cross-cultural empathy, showing how fun and meaningful cultural exploration can become a foundation for community-building. Staff Reflecting the Community: A powerful point is the staff's demographic alignment with the seniors they serve. Katherine Jordan mentions that the social services team are immigrants themselves and speak the languages of the seniors ([00:28:13 - 00:29:18]). This shared lived experience enhances trust, breaks down barriers, and helps seniors feel “seen” and understood—a critical step in providing truly responsive care. Local Food Sourcing and Farmer Connection: The relationship between the center and local farmers is another unique insight. Produce comes directly from local farms, and seniors—and even farmers—are able to see the impact of their labor ([00:22:23 - 00:23:50]). Bringing a farm-to-table experience to an often overlooked population, plated beautifully and shared in community, connects everyone involved in the food chain and elevates the dining experience. Next Step: Visit our website, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Healthcare for Humans⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, and join our community to enjoy exclusive benefits at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.healthcareforhumans.org/support/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Support Our Mission: Non-clinicians, explore exclusive content and contribute to our collective journey. Be an Active Participant: Go beyond listening. Shape our narrative by co-creating episodes with us. Be part of our community by visiting⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ https://www.healthcareforhumans.org/support/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Follow us on Instagram ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@healthcareforhumanspodcast⁠⁠⁠⁠⁠⁠⁠

Recorded live at the Southwest International Produce Expo (SWIPE) in Tucson, Ed Bertaud sits down with Lance Jungmeyer, President of the Fresh Produce Association of the Americas. They discuss how SWIPE has grown into one of the most productive gatherings in the produce industry, why maintaining strong buyer–supplier engagement matters, and the operational realities shaping fresh produce trade. The conversation also explores border logistics, inspection capacity, trucking shortages, and how industry groups work with government agencies to keep produce moving efficiently from Mexico into U.S. commerce.

In the first of a series this week, Michelle Wilson, a registered dietician with Branz Nutrition, joined Megan Lynch on a visit to the grocery store. They stop at the produce section as they enter the store and talk about the nutrients and importance of fruits and vegetables in your diet. (Photo by David Ryder/Getty Images)

Abhi Ramesh's grocery delivery startup has grown to $500 million in annual sales as he continues to reimagine how Americans shop for food. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Message: Mark Christian, Senior MinisterPassage: John 15:5–16Series: Following Jesus

This week, we're talking about the second half of Bridgerton Season 4: Benedict and Sophie. And dearest gentle readers, we've never been more excited to be wrong about something. Rae is eating crow and Veronica is sobbing on the couch. Between Benedict, Sophie, Violet, and Francesca, this season might very well be the best one yet.SOS: Pounded by Produce by G.M. FairyUp Next: The Wild Card: Vancouver Storm Book 5 by Stephanie ArcherWhat We're Reading:Just for the Cameras by Meghan Quinn (audio)Delivered by the Vyder by Ivy SparksFollow us on SpotifyWebsite: www.chicklitbookclubpodcast.comMerch: https://chicklitbookclubpodcast.threadless.com/TikTok: ChickLitBookClubInstagram and Threads: ChickLitBookClubPodcastPinterest: ChickLitBookClubPodcastBlueSky:@clbcpodcast.bsky.socialYoutube: @ChickLitBookClubEmail: chicklitbookclubpodcast@gmail.com Hosted on Acast. See acast.com/privacy for more information.

HT2554 - Scant Feedback, If Any Applause is lovely. Accolades are lovely. Sales are lovely. Relying on such feedback to fuel your motivations is to place yourself in a position that doesn't help your creativity. Statistically, it just doesn't add up. Produce your work because you need to do it and because the Universe needs you to do it, not for the applause and (God forbid) not for the sales. This RSS feed includes only the most recent seven Here's a Thought episodes. All of them — over 2500 and counting! — are available to members of LensWork Online. Try a 30-day membership for only $10 and discover the literally terabytes of content about photography and the creative process.

#948: Join us as we sit down with Melissa Ackerman – Founder & CEO of Planet Harvest, a mission-driven, for-profit company focused on moving more fresh produce from farms to families. Planet Harvest turns excess & available produce into purpose-built food solutions that reduce waste, strengthen farm economics, & deliver measurable impact. In this episode, Melissa shared the significant produce waste in the U.S., how Planet Harvest is working to reshape supply chains by purchasing excess produce, creating impact-driven food boxes, & why embracing "imperfect" produce is essential to supporting farmers & reducing food waste.   To Watch the Show click HERE   For Detailed Show Notes visit TSCPODCAST.COM   To connect with Melissa Ackerman click HERE   To connect with Planet Harvest click HERE   To connect with Lauryn Bosstick click HERE   To connect with Michael Bosstick click HERE   Read More on The Skinny Confidential HERE   Head to our ShopMy page HERE and LTK page HERE to find all of the products mentioned in each episode.   Get your burning questions featured on the show! Leave the Him & Her Show a voicemail at +1 (512) 537-7194.   This episode is sponsored by The Skinny Confidential The beauty tool that started it all, redesigned to evolve with you. Shop Ice Roller at https://bit.ly/IceRollerSilver today.   This episode is sponsored by The RealReal Get $25 off your first purchase when you go to http://TheRealReal.com/skinny.   This episode is sponsored by Legacybox Check protecting your memories off your spring cleaning to do list with Legacybox. Visit http://Legacybox.com/SKINNY to shop their $9 tape sale.    This episode is sponsored by LTK If you're a brand or founder, get on the LTK brand demo list to see it for yourself. Sign up here http://shopltk.com/skinny and see the platform in action. If you're a creator, my referral link (https://creator.shopltk.com/apply/creator/home?utm_source=pd1&utm_medium=podcast&utm_campaign=acquire&utm_content=TheSkinnyConfidential) to apply there while we keep the conversation led by the brand story.   This episode is sponsored by Experian Get started in the Experian App now!   This episode is sponsored by FRE Nicotine Try FRE Nicotine Pouches today at http://FREpouch.com and use code "SKINNY" for 25% off for NEW customers only.    Produced by Dear Media

The only way to get pure olive oil is through the pressing and crushing of the olive. The same applies in our lives as Christian men. At times God needs to press us, in order to produce something pure and powerful in us. If you are facing great pressure in your life, there is a purpose for it that God will use for His glory and your good.

Eshet Chayil 175

The only way to get pure olive oil is through the pressing and crushing of the olive. The same applies in our lives as Christian men. At times God needs to press us, in order to produce something pure and powerful in us. If you are facing great pressure in your life, there is a purpose for it that God will use for His glory and your good.

What if I told you that boosting just one molecule in your body could improve your energy, focus, sexual health, and recovery?      That molecule is nitric oxide and in today's show, we'll explore why it declines and how to restore it naturally.     Nitric oxide gradually drops as we age, affecting everything from blood flow and exercise performance to brain function and vitality.      The good news?      There are simple, science-backed strategies to bring it back.     On today's episode, I break down why nitric oxide declines, the lifestyle and dietary factors that influence it, and practical ways to boost your levels.     So join me on Cabral Concept 3681 to discover how to naturally produce more nitric oxide as you age and keep your body performing at its best.     Enjoy the Show!   - - - For Everything Mentioned In Today's Show: StephenCabral.com/3681 - - - Get a FREE Copy of Dr. Cabral's Book: The Rain Barrel Effect - - - Join the Community & Get Your Questions Answered: CabralSupportGroup.com - - - Dr. Cabral's Most Popular At-Home Lab Tests: > Complete Minerals & Metals Test (Test for mineral imbalances & heavy metal toxicity) - - - > Complete Candida, Metabolic & Vitamins Test (Test for 75 biomarkers including yeast & bacterial gut overgrowth, as well as vitamin levels) - - - > Complete Stress, Mood & Metabolism Test (Discover your complete thyroid, adrenal, hormone, vitamin D & insulin levels) - - - > Complete Food Sensitivity Test (Find out your hidden food sensitivities) - - - > Complete Omega-3 & Inflammation Test (Discover your levels of inflammation related to your omega-6 to omega-3 levels) - - - Get Your Question Answered On An Upcoming HouseCall: StephenCabral.com/askcabral - - - Would You Take 30 Seconds To Rate & Review The Cabral Concept? The best way to help me spread our mission of true natural health is to pass on the good word, and I read and appreciate every review!  

En este episodio exploramos un tema cada vez más presente en la vida de las familias: la adicción a pantallas en la infancia. Analizamos por qué el cerebro infantil es especialmente vulnerable y cómo responde al uso continuado de dispositivos digitales. Profundizamos en el papel de neurotransmisores como la dopamina y la serotonina, explicando cómo están diseñadas las pantallas para generar enganche y qué efectos pueden tener en el desarrollo y el comportamiento de niños y niñas. Este episodio no solo aborda el tiempo de pantalla, sino lo que realmente sucede en el cerebro infantil y qué estrategias pueden ayudar a las familias a gestionar mejor el uso de la tecnología. Visita nuestro Espacio de Salud Adeslas y encuentra más recursos para cuidar de tu familia. Learn more about your ad choices. Visit megaphone.fm/adchoices

It seems you really can't beat locally grown produce. Recent numbers show farmers' markets around the country now support over a thousand food producers – attracting more than 50 thousand shoppers every week. Tony Cato, owner of Pirongia Mountain Vegetables, told Mike Hosking that the industry's been doing nothing but growing. They've been in the markets for nearly twenty years, he says, and especially after Covid they've seen an increase in customers wanting to know exactly where their food comes from. LISTEN ABOVE See omnystudio.com/listener for privacy information.

Affliction is temporary but Glory is eternal. Suffering shapes believers into Christ's likeness. Suffering detaches us from this temporary world and anchors us in eternity.

The Evil Queen (who really isn't all that bad once you get to know her I swear) has been keeping you as a pet secretly in her chambers, when one day an assassination attempt rocks her to her core! What else to do after narrowly avoiding an attempt on your life, but try and discover the joys of motherhood? (and use the baby as a pawn in your schemes, ofc ofc)- - -ANNOUNCEMENT! I have a new tier on Patreon for all photosets going forward. I'll no longer be doing photosets, which means more creative freedom and, in the long run, more audios in general! Plus, the new tier is priced lower- if you were unsure about joining, now's the time!Full spicy version of this audio will be uploaded to my Patreon tonight. Join now for access to this and all past audios:https://www.patreon.com/charleymooasmr- - -Main ASMR YouTube Channel @charleymooasmr All other links: ⁠https://linktr.ee/charleymoo⁠(please copy/paste linktree if direct is not working! The link DOES work!)Business email (serious inquiries only please!): charleymoobiz@hotmail.com

How do you balance your personal and professional lives...when both need to find love?  "The Bachelor" Producer Julie LaPlaca joins Brian to talk about her upcoming memoir "The Love Producer", and takes us behind the scenes of what it's like to work on a legendary reality show, putting career before self, knowing when to say enough, creating the best fantasy dates, finding yourself in the tabloid spotlight, the key to happily ever after, and much, much more!

A UChicago affiliate was robbed on campus last Monday morning in front of the William Eckhardt Research Center. A student-led creative writing workshop and civic engagement program for people incarcerated at the Cook County Jail remains on hiatus nearly a year after two former UChicago students settled a lawsuit against the Cook County Sheriff. Also, the grocery store Hyde Park Produce is closing its doors, and Max Palevsky East reaches its third week with no working water fountain. Featuring: Aubrey Barb and Amber Lin Edited by: Aubrey Barb

Trials test and stretch our faith in various and distinct ways. How is your faith being tried right now?

This is our weekly compilation of science news.00:00 - AI is changing the World Of Theoretical Physics, Fast.5:51 - Nuclear Fusion Reactors Could Produce Dark Matter, Physicists Show10:55 - The Pentagon Says It's Discovered The Weapon Behind Havana Syndrome17:16 - Is Gen Z Really That Dumb?22:46 - The First Moon Landing Wasn't Apollo — And We Just Found It

Ever wondered how to execute a $30K–$35K large-scale event with only three weeks' notice?In this episode, I'm breaking down exactly how I approach high-revenue, high-pressure floral events — from concept to production schedule — and why mastering event logistics can completely change your income ceiling.Because here's the truth:If you want to pay yourself $100K as a florist…You need to know how to confidently say YES to big events.And not panic when they land in your inbox.In This Episode We Cover:

Send a textA lot of good food never makes it to a plate. In Fresno, that often looks like backyard trees dropping grapefruit and lemons by the bucket and packing houses tossing out “imperfect” mandarins that taste just fine. We sit down with Simon and Aleeza, the founders of All For Kindness, to unpack how a simple idea—rescue surplus fruit and deliver it fast—grew into a volunteer-powered network moving roughly 12,000 pounds of fresh produce each week.We trace their origin story from a single neighborhood post to three weekly harvests with 30 to 50 volunteers, and we get into the nuts and bolts: coordinating routes, sorting, storage, and next-day deliveries to food banks, shelters, and homebound neighbors. If you care about public health, this is prevention in action. Fresh citrus brings vitamin C, fiber, and joy to families stuck in food deserts, where shelf-stable boxes can't meet every need. You'll hear how they partner with growers and packers to reclaim cosmetically imperfect fruit, why specific volunteer asks beat vague calls for help, and what it takes to keep the operation humane and sustainable.The conversation also gets personal. We talk about guarding energy with a weekly digital sabbath, handling 7 a.m. to 10 p.m. days, and the small moments that fuel big work—the kid whose face lights up at a fruit bag, the neighbor who hasn't had an orange in a year. We share the real constraints too: summer heat, the race against spoilage, a pressing need for a trailer, and a modest warehouse to scale beyond citrus into other produce. Along the way, we make the case that kindness isn't performative; it's a supply chain that rewires how a community eats.If you've got a tree, a truck, a spare hour, or a lead at a packing house, you're already part of the solution. Tap to listen, then join a Sunday pick, run a delivery route, or help fund the trailer that multiplies every volunteer's impact. Subscribe, leave a review to boost the message, and share this episode with someone who has more fruit than they can carry. Let's turn waste into wellness, one crate at a time.Check out Offer Kindness and their amazing work:Offer Kindness WebsiteIG: OfferkindnesshqBusinesses: If you are able to support or have any donations to, please contact Simon or Aleeza.  Thank you for listening. Please subscribe to this podcast and share with a friend. If you would like to know more about my services, please message at fueledbyleo@gmail.comMy YouTube Channel https://www.youtube.com/channel/UC0SqBP44jMNYSzlcJjOKJdg

Episode Description Making babies is expensive. For pretty much every species on the planet, reproduction is supposed to be the ultimate metabolic investment—a massive energy drain that can make organisms vulnerable to stress, predators, and environmental change. Except there's a small shark walking around the Great Barrier Reef that apparently didn't get the memo. In this episode of our Ocean Lovin' series, we explore groundbreaking research from James Cook University that's forcing scientists to completely rethink what they know about the costs of reproduction. Epaulette sharks—those amazing little "walking sharks" that can literally stroll across reef flats on their fins—can produce complex egg cases with developing embryos inside without any measurable increase in energy use. Zero. Zilch. Nada. It's like building a house without buying any extra lumber. Join hosts Andrew Kornblatt and Dr. Frances Farabaugh, along with returning guest co-host Dr. Skylar Bayer, as we dive into this surprising discovery with Professor Jodie Rummer from James Cook University. We'll explore how her team measured something no one had measured before—the metabolic cost of egg-laying in sharks—and what they found challenges fundamental assumptions about reproduction in the ocean. We'll learn about the "pay as you go" hypothesis, discover why a tiny organ might be working overtime without changing the whole shark's energy budget, and explore what this means for sharks facing climate change. From the controlled environment of the lab to wild populations scattered across the Great Barrier Reef, this research reveals that evolution has equipped some species with surprising tools for survival that we're only beginning to understand. Content Advisory: This Ocean Lovin' episode deals with mature subjects related to marine reproduction. Please listen to the full episode before sharing with younger audiences. Featured Guest Professor Jodie Rummer Professor of Marine Biology, James Cook University, Australia Conservation physiologist specializing in sharks and coral reef fishes Leads shark physiology research team at JCU's Marine and Aquaculture Research Facility Maintains a breeding colony of epaulette sharks for multi-generational research Expert in how marine organisms cope with climate change stressors (temperature, ocean acidification, low oxygen) Key Topics Covered The Discovery First direct measurement of metabolic costs of egg-laying in sharks Completely flat metabolic rate across reproductive cycle—no energy spike 37 trials, nearly 200 eggs, almost 100 reproductive cycles The Science How scientists measure metabolic rate through oxygen uptake The "pay as you go" hypothesis: income breeding vs. stored energy The nidamental gland paradox: tiny organ, massive output Blood chemistry and hormone stability during reproduction Epaulette Shark Biology One of nine "walking shark" species with modified pectoral fins Can survive zero oxygen conditions for several hours Endemic to Great Barrier Reef, living in extreme reef flat environments Produce two eggs every ~19 days during breeding season Four-month embryonic development period Climate Change Implications Challenging the assumption that "reproduction will be the first thing to go" under stress Potential resilience in warming oceans—but limits unknown Effects of elevated temperatures on embryo development and hatchling size Importance of protecting critical habitats where adaptations can function Future Research Directions Testing upper limits of reproductive efficiency under warming Local adaptation across Great Barrier Reef populations Immune function in mothers and hatchlings under stress Applications to other shark species and conservation strategies Featured Research Primary Study: Wheeler, C.R., Awruch, C.A., Mandelman, J.W., & Rummer, J.L. (2025). "Assessing the metabolic and physiological costs of oviparity in the epaulette shark (Hemiscyllium ocellatum)." Biology Open, 14(11). DOI: 10.1242/bio.062076 Lead Author: Dr. Carolyn Wheeler (recent JCU PhD graduate) Resources & Links Research Institution: James Cook University Marine and Aquaculture Research Facility, Townsville, Australia JCU Marine Biology Conservation Organizations: Great Barrier Reef Marine Park Authority IUCN Shark Specialist Group Press Coverage: JCU News Release ScienceDaily Article Episode Credits Hosts: Andrew Kornblatt - Climate and Ocean Communications Specialist, Producer Dr. Frances Farabaugh - Shark Ecologist, Aquanaut Guest Co-Host: Dr. Skylar Bayer - Marine Ecologist (Shellfish Population Dynamics, Fertilization Ecology, Science Communication) Featured Guest: Professor Jodie Rummer - James Cook University

Iglesia Evangelica San Pablo sitio Monte Tema: Gratitud que Produce Contentamiento Serie: Renovando Nuestra Gratitud Pastor: Daniel Trápala Domingo 09 de Noviembre de 2025 Facebook: https://www.facebook.com/SanPabloMonte

On this episode, the Sacred Warrior Fellowship team shares some very funny and memorable experiences they've had during ceremony. Often, people struggle in life, wondering if they are good enough. Ceremony can lead to a profound transformation on the inside, leaving individuals feeling connected to themselves and to their sense of value. Our members have stated how amazing it feels when they arrive at our retreats, sensing that there is absolutely no judgment. We are all imperfect people; we all have a past. The more seriously an individual takes the spiritual process, the more they will get out of the ceremonial experience. If you have been a part of Sacred Warrior Fellowship ceremonies and are ready to pay it forward, please share this video. If you are able to make a financial contribution, you can rest assured that your investment will help someone else make a fellowship connection that can change their lives.

Learn the truth about raw diets, fruit and candida myths, and how hybrid fruits and crop nutrition stand up to scrutiny. #RawDietFacts #FruitMyths #HybridHealth

In Episode 9 of The Composter, I sit down with Scott Howarth from the Sinclair Group, one of the largest manufactures of produce labels. We talk about how fruit stickers came to be, how labeling is evolving, what the future could hold for compostable produce labeling.Last September, I found myself in a friendly conversation with the stranger sitting next to me. We were chatting away when I suddenly realized that this stranger, Scott, played a role in developing what many composters consider their greatest nemesis: the fruit sticker. 40 billion stickers a year are made by the Sinclair Group, where Scott does Research and Development.For decades, I've been having imaginary conversations with Scott (although I didn't know that was his name. So many compost gripe sessions over the last 15 years have circled back to those tiny little stickers. Finding them in finished compost. Trying, and usually failing, to teach people to remove them. Knowing there's no practical way to screen them out once they're in the system.So this episode really felt like a rare opportunity to sit down, ask the questions, and get to the root of it all.The future is looking bright and Sinclair is at the forefront of the upcoming positive changes. There is legislation in New Zealand and Europe which will ban the plastic fruit stickers. And some companies, like the kiwi company, Zespri are already choosing compostable stickers for their fruit. We are on the cusp of true change.This conversation left me thinking about how much better the world might be if we all had more chances to sit down for real, thoughtful conversations with the people behind the systems — especially the ones that create frustration and pain points in our daily lives. There's so much that can shift when we move from assumptions to understanding.Before we dive in, I also want to say thank you to this episode's sponsors, Green Mountain Technology, Agrilab Technologies and Compost Capital Network, for supporting this show and the work of composters everywhere.This is a conversation for every composter who's ever pulled a sticker out of a lovingly finished pile of compost.Check out Sinclair (

You see the win post. Your chest tightens before you even finish reading it. You tell yourself it's inspiration, but it doesn't feel like inspiration. It feels like accusation. In this episode I'm naming what so many of us keep swallowing silently. We talk about the three traps comparison hides inside, where it actually comes from, and a simple reset you can use when you feel yourself starting to spiral. Because you don't need to work harder because someone else is loud online. You need to stay faithful where God put you, with the voice He gave you and the audience you already have. Grab The 7 Day Book Sales Reset → HERE If your book isn't moving and you're not sure why, this is your next step. One week. One reset. One clear path forward.

Michael Toth, Research Director of the Civitas Institute, compares the thriving US equity markets with Europe's "eurosclerosis," attributing American growth to deregulation and dynamism while critiquing Europe's failure to produce new unicorns. 11.1900 BRUSSELS

Most real estate agents set financial goals. Very few set financial goals that actually produce income. In today's episode, we break down the right way to reverse-engineer your income target so you know exactly: • How many listings you need • How many conversations that requires • What your real activity standard must be • Why transaction goals alone don't work • The math behind predictable income If your income still feels inconsistent, the issue probably isn't the market. It's the structure behind your goals. This episode is for full-time agents who want predictable, listing-based income — not hype.

Listen and subscribe to Money Making Conversations on iHeartRadio, Apple Podcasts, Spotify, www.moneymakingconversations.com/subscribe/ or wherever you listen to podcasts. New Money Making Conversations episodes drop daily. I want to alert you, so you don’t miss out on expert analysis and insider perspectives from my guests who provide tips that can help you uplift the community, improve your financial planning, motivation, or advice on how to be a successful entrepreneur. Keep winning! Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald interviewed Keith Milner. Purpose of the Interview The interview aims to inspire aspiring entrepreneurs by sharing Keith Milner’s journey from corporate America to entrepreneurship. It emphasizes discipline, leadership, risk-taking, and strategies for building generational wealth, particularly for underrepresented communities. Key Takeaways Foundational Lessons from Childhood Growing up in a disciplined, hardworking family taught Keith accountability, integrity, and the principle of choices and consequences. Education was highly valued in his household, shaping his drive for success. Corporate vs. Entrepreneurial Mindset Corporate careers can feel secure but are often riskier because you lack control over your destiny. Entrepreneurship offers greater control and potential for generational wealth. Leadership and Teamwork Lessons from sports—teamwork, discipline, and leadership—translate directly into business success. Establishing a common goal and coaching employees is crucial, but underperformers must eventually be let go. Risk and Value Many African-Americans view entrepreneurship as risky, but Keith argues it’s less risky than employment in an at-will state. Success depends on creating value that customers are willing to pay for. Franchising Journey Relationships opened doors to Jersey Mike’s franchise ownership. Entrepreneurship requires hands-on involvement—Keith still works in his stores when needed. Advice for Aspiring Entrepreneurs Adopt a growth mindset and positive attitude. Follow the Five P’s: Plan, Prepare, Produce, Pivot, Persevere. Understand that entrepreneurship is a daily grind—“Every morning in the jungle, the lion wakes up running.” Notable Quotes On discipline and accountability:“If you said you were going to do something, you did it. If you were told to do something, you got it done.” On choices:“We make choices every day, and if you don’t make the right choice, there are consequences.” On entrepreneurship vs. employment:“Entrepreneurship and small business ownership is the best way to create generational wealth.” On leadership:“There are very few things in life you can do alone. You need people, you need a team.” On success formula:“You control the inputs, and therefore you can charge what you want—as long as you generate enough value.” On entrepreneurial mindset:“Plan, Prepare, Produce, Pivot, Persevere.” Swahili proverb:“Every morning in the jungle, the lion wakes up running… The question becomes, who’s going to run the fastest?” #SHMS #STRAW #BESTSupport the show: https://www.steveharveyfm.com/See omnystudio.com/listener for privacy information.

Listen and subscribe to Money Making Conversations on iHeartRadio, Apple Podcasts, Spotify, www.moneymakingconversations.com/subscribe/ or wherever you listen to podcasts. New Money Making Conversations episodes drop daily. I want to alert you, so you don’t miss out on expert analysis and insider perspectives from my guests who provide tips that can help you uplift the community, improve your financial planning, motivation, or advice on how to be a successful entrepreneur. Keep winning! Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald interviewed Keith Milner. Purpose of the Interview The interview aims to inspire aspiring entrepreneurs by sharing Keith Milner’s journey from corporate America to entrepreneurship. It emphasizes discipline, leadership, risk-taking, and strategies for building generational wealth, particularly for underrepresented communities. Key Takeaways Foundational Lessons from Childhood Growing up in a disciplined, hardworking family taught Keith accountability, integrity, and the principle of choices and consequences. Education was highly valued in his household, shaping his drive for success. Corporate vs. Entrepreneurial Mindset Corporate careers can feel secure but are often riskier because you lack control over your destiny. Entrepreneurship offers greater control and potential for generational wealth. Leadership and Teamwork Lessons from sports—teamwork, discipline, and leadership—translate directly into business success. Establishing a common goal and coaching employees is crucial, but underperformers must eventually be let go. Risk and Value Many African-Americans view entrepreneurship as risky, but Keith argues it’s less risky than employment in an at-will state. Success depends on creating value that customers are willing to pay for. Franchising Journey Relationships opened doors to Jersey Mike’s franchise ownership. Entrepreneurship requires hands-on involvement—Keith still works in his stores when needed. Advice for Aspiring Entrepreneurs Adopt a growth mindset and positive attitude. Follow the Five P’s: Plan, Prepare, Produce, Pivot, Persevere. Understand that entrepreneurship is a daily grind—“Every morning in the jungle, the lion wakes up running.” Notable Quotes On discipline and accountability:“If you said you were going to do something, you did it. If you were told to do something, you got it done.” On choices:“We make choices every day, and if you don’t make the right choice, there are consequences.” On entrepreneurship vs. employment:“Entrepreneurship and small business ownership is the best way to create generational wealth.” On leadership:“There are very few things in life you can do alone. You need people, you need a team.” On success formula:“You control the inputs, and therefore you can charge what you want—as long as you generate enough value.” On entrepreneurial mindset:“Plan, Prepare, Produce, Pivot, Persevere.” Swahili proverb:“Every morning in the jungle, the lion wakes up running… The question becomes, who’s going to run the fastest?” #SHMS #STRAW #BESTSee omnystudio.com/listener for privacy information.

Listen and subscribe to Money Making Conversations on iHeartRadio, Apple Podcasts, Spotify, www.moneymakingconversations.com/subscribe/ or wherever you listen to podcasts. New Money Making Conversations episodes drop daily. I want to alert you, so you don’t miss out on expert analysis and insider perspectives from my guests who provide tips that can help you uplift the community, improve your financial planning, motivation, or advice on how to be a successful entrepreneur. Keep winning! Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald interviewed Keith Milner. Purpose of the Interview The interview aims to inspire aspiring entrepreneurs by sharing Keith Milner’s journey from corporate America to entrepreneurship. It emphasizes discipline, leadership, risk-taking, and strategies for building generational wealth, particularly for underrepresented communities. Key Takeaways Foundational Lessons from Childhood Growing up in a disciplined, hardworking family taught Keith accountability, integrity, and the principle of choices and consequences. Education was highly valued in his household, shaping his drive for success. Corporate vs. Entrepreneurial Mindset Corporate careers can feel secure but are often riskier because you lack control over your destiny. Entrepreneurship offers greater control and potential for generational wealth. Leadership and Teamwork Lessons from sports—teamwork, discipline, and leadership—translate directly into business success. Establishing a common goal and coaching employees is crucial, but underperformers must eventually be let go. Risk and Value Many African-Americans view entrepreneurship as risky, but Keith argues it’s less risky than employment in an at-will state. Success depends on creating value that customers are willing to pay for. Franchising Journey Relationships opened doors to Jersey Mike’s franchise ownership. Entrepreneurship requires hands-on involvement—Keith still works in his stores when needed. Advice for Aspiring Entrepreneurs Adopt a growth mindset and positive attitude. Follow the Five P’s: Plan, Prepare, Produce, Pivot, Persevere. Understand that entrepreneurship is a daily grind—“Every morning in the jungle, the lion wakes up running.” Notable Quotes On discipline and accountability:“If you said you were going to do something, you did it. If you were told to do something, you got it done.” On choices:“We make choices every day, and if you don’t make the right choice, there are consequences.” On entrepreneurship vs. employment:“Entrepreneurship and small business ownership is the best way to create generational wealth.” On leadership:“There are very few things in life you can do alone. You need people, you need a team.” On success formula:“You control the inputs, and therefore you can charge what you want—as long as you generate enough value.” On entrepreneurial mindset:“Plan, Prepare, Produce, Pivot, Persevere.” Swahili proverb:“Every morning in the jungle, the lion wakes up running… The question becomes, who’s going to run the fastest?” #SHMS #STRAW #BESTSteve Harvey Morning Show Online: http://www.steveharveyfm.com/See omnystudio.com/listener for privacy information.

A few simple hacks for storing and preparing your fruits and veggies can help them last longer and save you money on your grocery bill.  To support more content like this, become an AARP member at aarp.org. And don't forget to subscribe for more tips and tricks to help make your life a little easier — and happier! 

Join host Patrick Kelly as he welcomes Bruce Letchworth of Continental Fresh to share inspiring stories of purpose, passion, and mission-driven work in the produce industry. Discover how honesty and relationships are transforming communities globally through the 'Water for All' initiative, and enjoy a lively conversation that blends produce insights with Bruce's unique alligator hunting and fish fry adventures. A heartfelt episode that proves one person's passion can ripple out and change the world.#VIVAFRESHSURPRISE #ASKUS