Podcasts about Nader

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Nader is Argus' Middle East editor, based in Dubai. Argus is a leading independent provider of global energy and commodity market intelligence. Nader has more than 15 years of experience covering oil and gas in the region, and today heads up the company's Middle East and OPEC coverage. Prior to moving to Argus in 2015, Nader spent five years with the Middle East Economic Survey (MEES) weekly in Cyprus. In this podcast, we discuss: Inevitable Escalation with Iran  Iran's Decentralised Resilience The Rise of Mojtaba Regional Retaliation Strategy The Hormuz Choke Point Modern Tanker War Risks 8 Million Barrels Offline Limits of the Global SPR Sentiment-Driven Volatility Houthi Autonomy and the Red Sea 

Nader Itayim of Argus Media joins the Oil Ground Up podcast to analyze the unprecedented escalation of the direct conflict between Iran, Israel, and the United States and its devastating impact on global energy markets. The discussion explores how Iran has transitioned from decades of "proxy warfare" to what leadership now describes as an "existential war," abandoning its traditional "strategic patience" in favor of lashing out to create maximum economic chaos. Itayim details the severe physical disruptions to the market, revealing that nearly 8 million barrels per day have been shut in across Saudi Arabia, the UAE, Kuwait, and Iraq. A major focus is placed on the strategic maneuvers of Saudi Aramco, which is "sweating its assets" by utilizing the East-West pipeline to bypass the Strait of Hormuz and export crude through the port of Yanbu. Host Rory Johnston and Nader critique the Trump administration's lack of a clear endgame, highlighting the tension between military goals like "sinking the Navy" and the urgent need to prevent a full-scale global economic depression. The conversation delves provides insight into the fragmented leadership within Tehran, where various power centers like the IRGC may be operating independently to target regional refineries and critical infrastructure. But what does an end game to this conflict look like? Rory and Nader question whether the Gulf can ever return to being a "safe neighborhood" after such a profound display of regional instability.

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

In this episode of Nuclecast, Iran analyst Alireza Nader breaks down the current military conflict involving Iran and what it means for the Middle East and beyond. Drawing on decades of expertise, Nader examines Iran's strategic military doctrine, including its reliance on drones and missiles, and explains how regional power dynamics are shaping the conflict's trajectory.The conversation explores high‑stakes scenarios for Iran's future—from regime survival to the risks of collapse or civil war—while unpacking the internal pressures facing the Islamic Republic, including public trauma, protests, and economic strain. Nader also addresses the roles of the United States, Israel, and regional actors, and offers a candid assessment of why overthrowing the regime would be extraordinarily difficult.Throughout the episode, listeners gain insight into Iranian public sentiment, misconceptions about U.S.–Iran relations, and the strategic calculations that will influence how long this conflict may last. This is a clear-eyed discussion of one of the most consequential security challenges facing global stability today.Socials:Follow on Twitter at @NucleCastFollow on LinkedIn: https://linkedin.com/company/nuclecastpodcastSubscribe RSS Feed: https://rss.com/podcasts/nuclecast-podcast/Rate: https://podcasts.apple.com/us/podcast/nuclecast/id1644921278Email comments and topic/guest suggestions to NucleCast@anwadeter.org

Grant Nader, Portfolio Manager at Benguela Global Fund Managers, joins host Stephen Grootes to analyse the day's market fluctuations and delve into the latest developments in business and finance. The Money Show is a podcast hosted by well-known journalist and radio presenter, Stephen Grootes. He explores the latest economic trends, business developments, investment opportunities, and personal finance strategies. Each episode features engaging conversations with top newsmakers, industry experts, financial advisors, entrepreneurs, and politicians, offering you thought-provoking insights to navigate the ever-changing financial landscape.    Thank you for listening to a podcast from The Money Show Listen live Primedia+ weekdays from 18:00 and 20:00 (SA Time) to The Money Show with Stephen Grootes broadcast on 702 https://buff.ly/gk3y0Kj and CapeTalk https://buff.ly/NnFM3Nk For more from the show, go to https://buff.ly/7QpH0jY or find all the catch-up podcasts here https://buff.ly/PlhvUVe Subscribe to The Money Show Daily Newsletter and the Weekly Business Wrap here https://buff.ly/v5mfetc The Money Show is brought to you by Absa     Follow us on social media   702 on Facebook: https://www.facebook.com/TalkRadio702 702 on TikTok: https://www.tiktok.com/@talkradio702 702 on Instagram: https://www.instagram.com/talkradio702/ 702 on X: https://x.com/CapeTalk 702 on YouTube: https://www.youtube.com/@radio702   CapeTalk on Facebook: https://www.facebook.com/CapeTalk CapeTalk on TikTok: https://www.tiktok.com/@capetalk CapeTalk on Instagram: https://www.instagram.com/ CapeTalk on X: https://x.com/Radio702 CapeTalk on YouTube: https://www.youtube.com/@CapeTalk567 See omnystudio.com/listener for privacy information.

Die militêre spanning in die Midde-Ooste stuur skokgolwe deur die wêreldpolitiek en -markte, met stygende oliepryse en ekonomiese onsekerheid wat die hoofopskrifte oorheers. Nader aan die huis word vrae geopper oor streeksalliansies, aangesien Suid-Afrika, Namibië se grootste handelsvennoot, vriendelike bande met Iran handhaaf. Die Suid-Afrikaanse politieke ontleder professor André Duvenhage het aan Kosmos 94.1 Nuus gesê die implikasies van hierdie belyning is grootliks negatief, maar die Namibiese regering blyk meer pragmaties te wees.

Friar Nader Ata's homily for the Second Sunday of Lent).Support Assumption by giving online: assumptionsyr.org/give.Listen to Assumption Today, our daily podcast: anchor.fm/assumptiontoday or subscribe wherever you get podcasts.

Trump's Reality TV War and the Prospect He Will Sell Out The Iranian People Just as He Sold Out the Venezuelan People For Oil | The DoJ Leaks the FBI Reports Bondi Held Back to The Guardian and Breitbart to Discredit Trump's Then 13 Year Old Rape Accuser | Following the Putin-Orban Playbook, Right Wing Trump-Friendly Billionaires Are Buying Up the Mainstream Media backgroundbriefing.org/donate twitter.com/ianmastersmedia bsky.app/profile/ianmastersmedia.bsky.social facebook.com/ianmastersmedia linktr.ee/backgroundbriefing

Comment l'intelligence artificielle a-t-elle permis de lire un papyrus carbonisé enfoui depuis deux millénaires ? Nous revenons sur le Vesuvius Challenge, le concours à 1 million de dollars qui a amené des étudiants à décoder des rouleaux d'Herculanum grâce au machine learning et à l'imagerie 3D, et sur ce que cela change pour l'archéologie romaine. Avec l'éclairage de nos chroniqueurs et le témoignage de l'étudiant lauréat Youssef M. Nader, on décortique méthodes, limites et perspectives.Sources Youssef M. Nader (X)En plateau Michaël de Marliave — animateur Matthieu Lambda — chroniqueur Tiffany Souterre — chroniqueuse Youssef M. Nader — invité➤ Pour découvrir Mammouth IA : https://mammouth.ai/➤ Pour le Merch Micode et Underscore_ : https://traphic.fr/collections/micode⚠️ Précommandes avant le 15 Janvier ! Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

FILM – Jeff Buckley wordt in leven gehouden dankzij een documentaire in het filmhuis (It’s Never Over, Jeff Buckley), on demand vinden we een drama dat zich afspeelt op Sicilië (Gioia Mia) en op TV gaat…Continue Reading "Film: kleinzoon en oma nader tot elkaar"

Chris Chavez and Preet Majithia break down a packed week of results from Levin, Toruń, Castellón, Boston, and more. Plus, a final look back at the Winter Olympics and a preview of what's ahead.– Keely Hodgkinson's world record at Levin is still reverberating. It's time to retire the “What about Athing Mu…” narrative.– Georgia Hunter-Bell ran 4:00 flat again at Levin but was left disappointed after a chaotic pacing situation.– The DQ heard ‘round the world: Theppiso Masalela of Botswana was disqualified from the 1500m in Toruń for an unsportsmanlike conduct gesture — a gun motion pointed at Azzedine Habz at the finish line.– A potential Nader vs. Hocker showdown at World Indoors.– Mondo Duplantis cleared 6.06m and debuted his new single “Feelin' Myself” performed live.– European distance runners have closed the gap on East Africans in road racing, at least in the 10K.– Oregon's DMR drama.– Parker Wolfe ran 12:59 for his first-ever sub-13 minute 5000m.– A light USA Indoors and Tokyo Marathon preview.– Bonus: Final Winter Olympics wrap.____________Hosts: Chris Chavez | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@chris_j_chavez⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ + Preet Majithia | ⁠⁠⁠⁠⁠⁠⁠@preet_athletics⁠⁠⁠⁠⁠⁠ Produced by: Jasmine Fehr |⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠@jasminefehr⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠____________SUPPORT OUR SPONSORSUSATF: The USATF Indoor Track and Field Championships presented by Prevagen are back in New York City from February 28th to March 1st at the Ocean Breeze Athletic Complex in Staten Island. This is where legends don't just race; they punch their ticket to the world stage. The pressure is real, the margins are razor thin, and every athlete is fighting for one thing: a spot on Team USATF at the World Indoor Championships. ⁠⁠⁠⁠Grab your tickets now at USATF.org/tickets ⁠⁠⁠⁠and experience track and field at its absolute loudest.OLIPOP: A blast from the past, Olipop's Shirley Temple combines smooth vanilla flavor with bright lemon and lime, finished with cherry juice for that nostalgic grenadine-like flavor. One sip of this timeless soda proves some flavors never grow old. Try Shirley Temple and more of Olipop's flavors ⁠⁠⁠⁠at DrinkOlipop.com and use code CITIUS25 at checkout to get 25% off your orders.

Ramadan mubarak! Vi er tilbake med en spalteepisode, der vi blant annet diskuterer Oslo-avtalen, Board of Peace (piss*), og Nader tester ut en ny spalte: Hvem er mest forvirra?Du kan følge oss på instagram: @palestinapodden.norgeArtikkelen Nader nevner fra Al Jazeera: https://www.aljazeera.com/features/2026/2/10/israel-used-weapons-in-gaza-that-made-thousands-of-palestinians-evaporate

Today's Guest Dr. Tony Nader is a medical doctor who trained at Harvard and the Massachusetts Institute of Technology, where he got a PhD in neuroscience. He is a globally recognized Vedic scholar. As Maharishi Mahesh Yogi's successor Dr. Nader is the head of the International Transcendental Meditation Organizations in over 100 countries. From the Americas to Asia, from Europe to Africa, Dr. Nader guides the Transcendental Meditation Program and its advanced practices. And the practical applications of this technology in all areas of national life, education, health, business, defense, agriculture, and much more. Dr. Nader's vision is to bring happiness, health, and peace to the minds and hearts of the whole world family. His experiences as a teacher, father, leader, scientist, and doctor have inspired his dedication to all global citizens. And his commitment to opening their awareness to the important things in life from a truly profound perspective. To help remove conflicts in society so that higher values and beautiful goals become the guiding light of everyone in his total focus. In his milestone book, Consciousness Is All There Is, Dr. Nader offers ideas that can change the world. He gives profound solutions to questions that have long fascinated and intrigued philosophers and scientists alike, covering the fields as diverse as the purpose of life. The book is available here: https://a.co/d/0a1m8a3 Links  https://drtonynader.com/ https://tm.org About Dr. Raj Dr. Raj Dasgupta is an ABIM Quadruple board-certified physician specializing in internal medicine, pulmonology, critical care, and sleep medicine. He is currently the Associate Program Director of Internal Medicine Residency at Huntington Health in Pasadena, California and an Associate Professor of Clinical Medicine for the University of California, Riverside School of Medicine (UCR). He previously practiced at the University of Southern California, where he is an associate professor of clinical medicine, assistant program director of the Internal Medicine Residency Program, and the associate program director of the Sleep Medicine Fellowship. Dr. Dasgupta is an active clinical researcher and has been teaching around the world for more than 20 years. More from Dr. Raj The Dr. Raj Podcast Dr. Raj on Twitter Dr. Raj on Instagram Want more board review content? USMLE Step 1 Ad-Free Bundle Crush Step 1 Step 2 Secrets Beyond the Pearls The Dr. Raj Podcast Beyond the Pearls Premium USMLE Step 3 Review MedPrepTGo Step 1 Questions MedPrepTGo Step 2 Questions Follow MedPrepToGo https://medpreptogo.com https://www.instagram.com/medpreptogo/ https://www.linkedin.com/company/medpreptogo/ https://www.facebook.com/MedPrepToGo/ https://www.youtube.com/@MedPrepToGo Learn more about your ad choices. Visit megaphone.fm/adchoices

Friar Nader Ata's homily for the Sixth Sunday in Ordinary Time.Support Assumption by giving online: assumptionsyr.org/give.Listen to Assumption Today, our daily podcast: anchor.fm/assumptiontoday or subscribe wherever you get podcasts.

Nyheter och fördjupning från Sverige och världen. Lyssna på alla avsnitt i Sveriges Radios app.

In this episode of Investor Connect, Hall Martin speaks with Nader Fathi, CEO of Enlil Technology, about the innovative strides his company is making in the MedTech industry. Based in Campbell, California, Enlil Technology emerged from the Shifa Fame Innovation Hub. Their AI-powered platform brings compliance, product lifecycle, and regulatory traceability into one unified system for medical device and digital health companies. Designed to reduce complexity and enhance operational efficiency, Enlil's platform streamlines processes from concept to commercialization, empowering MedTech companies to navigate FDA and other regulatory pathways efficiently. Nader delves into the genesis of Enlil, explaining how it spun out from the internal needs of Shifa MedTech's portfolio companies. Initially developed to aid in internal compliance and process management, Enlil was commercialized in early 2022 and has rapidly gained traction, adding over 34 companies to its user base. The platform leverages a proprietary AI called Lilly, which aids in search functionalities, report generation, and even automates critical tasks such as FDA submissions, significantly accelerating product development timelines and reducing costs. The conversation also highlights Enlil's go-to-market strategy, including their expansion efforts on the global stage. Despite focusing primarily on the U.S. market in 2022, Enlil has garnered international interest from countries like India, Singapore, and Japan. Nader emphasizes the necessity for startups to implement robust systems early to avoid scalability issues and successfully navigate the complex regulatory environment. Reach out to at nader@enlil.com ________________________________________________________________________ For more episodes from Investor Connect, please visit the site at: http://investorconnect.org Check out our other podcasts here: https://investorconnect.org/ For Investors check out: https://tencapital.group/investor-landing/ For Startups check out: https://tencapital.group/company-landing/ For eGuides check out: https:/_/tencapital.group/education/ For upcoming Events, check out https://tencapital.group/events/ For Feedback please contact info@tencapital.group Please follow, share, and leave a review. Music courtesy of Bensound.

Nader Baraia est né à Vigneux-sur-Seine (Essonne) en 1993. Plus jeune, il se rêvait en boxeur professionnel. Devenu arbitre à la suite d'une blessure grave, il a ensuite travaillé dans l'aéronautique avant de se découvrir une passion pour le fromage lors d'un séjour en Savoie. Devenu fromager affineur, il sillonne les marchés dans son camion-magasin et anime un compte Tik Tok où il est suivi par de nombreux passionnés.Dans cet épisode de Code Source, notre reporter, Judith Perret, a rencontré le « fromager star » des réseaux sociaux chez lui, en Essonne, à Saint-Michel-sur-Orge. Il raconte un parcours semé d'embûches traversé grâce à une détermination toute propre à la boxe, sa première passion. Écoutez Code source sur toutes les plates-formes audio : Apple Podcast (iPhone, iPad), Amazon Music, Podcast Addict ou Castbox, Deezer, Spotify.Crédits. Direction de la rédaction : Pierre Chausse - Rédacteur en chef : Jules Lavie - Reporter : Judith Perret - Production : Thibault Lambert, Anaïs Godard et Clémentine Spiler - Réalisation et mixage : Julien Montcouquiol - Musiques : François Clos, Audio Network - Archives : Instagram/O'Bon Fromage. Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

Friar Nader Ata's homily for the Fifth Sunday in Ordinary Time.Support Assumption by giving online: assumptionsyr.org/give.Listen to Assumption Today, our daily podcast: anchor.fm/assumptiontoday or subscribe wherever you get podcasts.

Grant Nader, Portfolio Manager at Benguela Global Fund Managers joins host Stephen Grootes to analyse the day's market fluctuations and delve into the latest developments in business and finance. The Money Show is a podcast hosted by well-known journalist and radio presenter, Stephen Grootes. He explores the latest economic trends, business developments, investment opportunities, and personal finance strategies. Each episode features engaging conversations with top newsmakers, industry experts, financial advisors, entrepreneurs, and politicians, offering you thought-provoking insights to navigate the ever-changing financial landscape.    Thank you for listening to a podcast from The Money Show Listen live Primedia+ weekdays from 18:00 and 20:00 (SA Time) to The Money Show with Stephen Grootes broadcast on 702 https://buff.ly/gk3y0Kj and CapeTalk https://buff.ly/NnFM3Nk For more from the show, go to https://buff.ly/7QpH0jY or find all the catch-up podcasts here https://buff.ly/PlhvUVe Subscribe to The Money Show Daily Newsletter and the Weekly Business Wrap here https://buff.ly/v5mfetc The Money Show is brought to you by Absa     Follow us on social media   702 on Facebook: https://www.facebook.com/TalkRadio702 702 on TikTok: https://www.tiktok.com/@talkradio702 702 on Instagram: https://www.instagram.com/talkradio702/ 702 on X: https://x.com/CapeTalk 702 on YouTube: https://www.youtube.com/@radio702   CapeTalk on Facebook: https://www.facebook.com/CapeTalk CapeTalk on TikTok: https://www.tiktok.com/@capetalk CapeTalk on Instagram: https://www.instagram.com/ CapeTalk on X: https://x.com/Radio702 CapeTalk on YouTube: https://www.youtube.com/@CapeTalk567 See omnystudio.com/listener for privacy information.

Hans Rosenfeldt med en klocka och en pratglad panel. Lyssna på alla avsnitt i Sveriges Radios app. Repris från 25 november 2023.Programledare: Hans RosenfeldtI panelen: Helena Lindegren, Eric Stern, Susanna Dzamic och Olof WretlingMusik: Erland von HeijneInspelning: Christian JangegårdRedigering: Susanne MartinssonProducent: Mette Göthberg

Friar Nader Ata's homily Second Sunday in Ordinary Time.Support Assumption by giving online: assumptionsyr.org/give.Listen to Assumption Today, our daily podcast: anchor.fm/assumptiontoday or subscribe wherever you get podcasts.

En el episodio del 15/01/26 hablamos de: Pleito Morena vs PVEM y PT por reforma electoral | Hoy Christian Nader

Harry Styles is dropping his fourth studio album called, "Kiss All The Time. Disco, Occasionally". Brooks Nader reveals in an interview with Paige DeSorbo that she uses other people's toothbrushes!See omnystudio.com/listener for privacy information.

Friar Nader Ata's homily from Mass In Memory of +Fr. Jude DeAngelo, OFM Conv. (The Baptism of the Lord)Support Assumption by giving online: assumptionsyr.org/give.Listen to Assumption Today, our daily podcast: anchor.fm/assumptiontoday or subscribe wherever you get podcasts.

När gravidillamåendet tar över alltI detta avsnitt berättar Tilde Fröling öppet om sina två graviditeter där illamåendet överskuggade allt – hur det påverkade vardagen, relationerna och orken.Tillsammans med Nina Campioni och barnmorskan Gudrun Abascal (BB Sophia) pratar vi om gravidillamående, frågor som dyker upp längs vägen och hur man kan få stöd när graviditeten känns extra tuff.Ett ärligt och igenkännande avsnitt för alla som upplevt – eller just nu upplever – hur krävande en graviditet kan vara.

Billerica, Massachusetts Hotel PTAC ambience. Enjoy hours of gushing hot air on a cold winter night in your Boston-area hotel room. The TV is off, so no local TV news to slog through. I used to watch local news in this area. Mostly the NBC station, back in the aughts. Their promotions featured station characters referring to themselves as “the neeeews station.”I also worked nearly two decades in local news. Take it from me: you could give up commercial local TV entirely and not miss a beat.Aside from what you think of Ralph Nader from a political perspective, he had the commercial news industry dead to rights in the summer of 2000: “Look at your late-evening news… It's 30 minutes. Nine minutes of ads; three minutes of street crime right at the beginning, never corporate crime, very superficially covered; one minute of impromptu chit-chat between the anchors; four minutes of weather; four minutes of sports — and that's what happens in your town tonight.”Nader didn't mention that our weather studios were named after local florists, and sports were “powered” by local Toyota dealerships.At one job, a befuddled new anchor approached me in the hall.“Do you know where the ‘Terrorism Desk is?”“Oh, for sure,” I said. “You want the lobby.”The lobby had an open window to the station's master control setup, flashing with over thirty monitors showing color bars, live cams, satellite feeds, and other inputs (looks impressive). And that camera station had other monikers: the “Breaking News Desk,” “Hurricane Whomever Desk,” and “We Have a New Baseball Team in Town Desk.”Still just the lobby.Nader also didn't mention sweeps week, the designated ratings period when stations try to attract the largest possible audience. Viewership is collected from a small sample of homes with Nielsen boxes — sometimes just hundreds — that determine a region's TV habits. Sweeps weeks set advertising rates, deciding how much a law firm or Buffalo Wild Wings has to pay to appear in a commercial break.Sweeps week is also a time of intrigue, danger, and sensationalized threats — online predators, out-of-control crime, spikes of spammers. I'm not being facetious: in Albany, I saw a promo claiming drinking water could be dangerous (the water is piped in from the Helderbergs, some of the cleanest water a small city could hope to access — you could eat off the floor in the Helderbergs).Sweeps week is also when favorite network TV characters die. J.R. was shot during sweeps. Brad Pitt showed up on Friends during sweeps.At one station, a producer said, “If Oprah has a Dancing with the Palins…” we'd beat our rival in the 5pm slot. It was the last day of sweeps, Oprah had Bristol and Sarah Palin gab it up on her program. We did hit #1 for the 11 that sweeps period due to the Bristol Palin-led Dancing with the Stars. Sweeps also judge station performance. If you watch local television and see a “We're #1 in something” ad, that's what that is all about. Those ads are specifically for station management, no one else gives a ****.Speaking of — once, walking into a station bathroom, I heard a toilet flush, and a colleague walks out of the stall holding his bag of Chipotle. These are folks you could stand to listen to less, is all I'm saying.Postscript-ish story: when I worked for a station that shared a newsroom with Politico.One morning, I'm walking into my department through the Politico sales area, gabbing with an awesome lady I worked with. Because I'm a stupid klutz, my hand bangs the side of a desk and dislodges my lunch. Which was soup in a Tupperware bowl. And it didn't just spill — it exploded. Clam fragments and sad potatoes amongst a red ooze splashed and soaked into the carpet (which, I'm not embellishing here, was new and cream-colored).I don't know what smells pleasing to you at 8:57 AM — I'm positive it isn't canned Manhattan Clam Chowder hit with 27 spluts of Tabasco.Awesome lady grabs my elbow and is like, “Go, go, go, go.”

Trump's Monroe Doctrine: Threaten Greenland, Canada, Mexico, Colombia and Brazil But Support Argentina, Chile, El Salvador, Honduras and Ecuador Whose Authoritarian Leaders Like Him and Keep on Maduro's VP While Spurning the Nobel Prize-Winning Leader of Venezuela's Opposition | Trump's Venezuela Oil Grab to Recover "Stolen" U.S. Oil and Then Pump Baby Pump |"Locked And Loaded": Trump Vows to Rescue Iranian Demonstrators From a Brutal Government Whose Economy is Cratering From U.S. Sanctions backgroundbriefing.org/donate twitter.com/ianmastersmedia bsky.app/profile/ianmastersmedia.bsky.social facebook.com/ianmastersmedia linktr.ee/backgroundbriefing

Jared kicks off the New Year by breaking down celebrity headlines of the week! From Jeff Bezos allegedly commissioning a statue of Lauren Sanchez to Brooks Nader turning a belt into a top, Jared unpacks the absurdity of wealth, beauty standards, and attention economics. He also calls out Elizabeth Hurley's unrealistic bikini “tips,” dives into Cardi B's clapbacks, and dissects how Page Six fills slow news weeks. A smart, funny look at celebrity PR strategies, critical thinking, and why pop culture is still so entertaining!Jared is on tour!

"Interview with the 2025 Distinguished Service Award Recipient: Dr. Antoun Nader." From ASRA Pain Medicine News, November 2025. See the original article at www.asra.com/november25news for figures and references. This material is copyrighted. Support the show

Podmas Day 29 is all about Love Thy Nader aka Brooks Nader and her sisters! A little Secret Lives of Mormon Wives talk too! ⁠ACCESS AD-FREE/EXTENDED/VIDEO EPISODES BY BECOMING A PATRON HERE⁠⁠⁠⁠⁠⁠⁠⁠⁠ Follow Kaya on⁠⁠⁠⁠⁠⁠⁠⁠ ⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠, listen to her⁠⁠⁠⁠⁠⁠⁠⁠ ⁠podcast⁠⁠⁠⁠⁠⁠⁠⁠⁠ and check out her⁠⁠⁠⁠⁠⁠⁠⁠ ⁠Youtube⁠⁠⁠⁠⁠⁠⁠⁠⁠!! Follow me on⁠⁠⁠⁠⁠⁠⁠⁠⁠ Instagram⁠⁠⁠⁠⁠⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

Envíame un mensajeLeón XIV reza ante la tumba de San Charbel y pide paz para el Líbano y Oriente MedioSupport the show YouTube Facebook Telegram Instagram Tik Tok Twitter

What if healthcare could be free, instant, and powered by AI? In this episode of Vibe Science, host Ryan Alford sits down with Charles Nader, Founder & CEO of DOC.com, to explore a bold mission: delivering free basic healthcare worldwide using telemedicine, artificial intelligence, and a scalable pharmacy-driven business model. Charles shares how studying medicine in Mexico exposed a massive global healthcare access problem—and how that experience led him to build a platform that connects anyone to a doctor 24/7, with no insurance required. They break down how AI assists doctors before consultations, why most health issues can be solved in under 15 minutes, and how DOC.com monetizes ethically without compromising patient care. In this episode, you’ll learn: Why access—not doctors—is the real healthcare crisis How free telemedicine actually works How AI improves speed, accuracy, and scale Why preventative care beats specialization How DOC.com pays doctors while keeping care free Real stories of lives saved through telemedicine Why DOC.com is preparing for a NASDAQ listing This conversation dives into the future of AI in healthcare, telemedicine, preventative medicine, and how technology can fix a broken system. Keywords: AI healthcare, telemedicine, free healthcare, digital health, preventative medicine, medical AI, DOC.com, Charles Nader Learn more: DOC.comFollow: @doccomofficialHost: Ryan Alford | Vibe Science Podcast ⚠️ This episode is for educational purposes only and does not provide medical advice.  

Rugby: Springbok-kaptein Siya Kolisi sê dit was 'n moeilike besluit om die Sharks te verlaat. Vyf jaar nadat hy die Stormers te midde van die ineenstorting van die unie verlaat het, sal die 34-jarige terugkeer na die klub waar hy vroeër naam gemaak het. Die Sharks, wat 17-miljoen Suid-Afrikaanse rand betaal het om Kolisi van die Franse klub Racing 92 vry te stel, was huiwerig om so 'n uiters belangrike speler te verloor, maar omstandighede het blykbaar verander. Kolisi sê hy wil nader aan sy skoolgaande kinders wees:

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Erika Jayne & Brooks Nader join host Andy Cohen. Listen to lively debates on everything from the latest drama surrounding your favorite Bravolebrities to what celebrity is making headlines that week live from the WWHL clubhouse.Aired on 12/18/25Binge all your favorite Bravo shows with the Bravo app: bravotv.com/getbravoSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Envíame un mensaje¿Acaso No Está sucediendo Lo Que Dijo San Charbel?  Raymond Nader | Luis RomanSupport the show YouTube Facebook Telegram Instagram Tik Tok Twitter

Right About Now with Ryan Alford Join media personality and marketing expert Ryan Alford as he dives into dynamic conversations with top entrepreneurs, marketers, and influencers. "Right About Now" brings you actionable insights on business, marketing, and personal branding, helping you stay ahead in today's fast-paced digital world. Whether it's exploring how character and charisma can make millions or unveiling the strategies behind viral success, Ryan delivers a fresh perspective with every episode. Perfect for anyone looking to elevate their business game and unlock their full potential.     Resources: Right About Now Newsletter | Free Podcast Monetization Course | Join The Network |Follow Us On Instagram | Subscribe To Our Youtube Channel | Vibe Science Media SUMMARY In this episode of "Right About Now," host Ryan Alford interviews Charles Nader, CEO of Doc.com, about revolutionizing global healthcare access through telemedicine and AI. Charles shares his inspiration from witnessing healthcare challenges in Mexico and explains how Doc.com offers free, AI-powered medical consultations via smartphone. The discussion covers Doc.com’s for-profit model, which funds free care through pharmacy sales, its rapid expansion, and upcoming NASDAQ listing. Charles also highlights the company’s mission to make healthcare universally accessible and invites listeners to follow Doc.com’s journey toward transforming healthcare worldwide. TAKEAWAYS Overview of Doc.com and its mission to revolutionize healthcare access globally. The role of telemedicine in providing free basic healthcare consultations. Use of AI technology to enhance the diagnostic process and streamline patient-doctor interactions. Discussion of the challenges in healthcare accessibility observed in Mexico. The business model of Doc.com, including its for-profit structure and revenue generation through a pharmacy. Efficiency of consultations, with a focus on primary care and preventative medicine. Statistics on case resolution rates during initial telemedicine consultations. Plans for expansion of services, including therapy and veterinary care. Preparation for a public offering on the NASDAQ stock exchange. Strategic importance of the Doc.com domain name for global branding and outreach.  

In this extremely enraged episode of Follow the Money, we ask the only question that actually matters in Trump's second crime spree through history: who is getting rich off of Trump chaos and the world's misery? Russian mafia expert Olga Lautman of Trump Tyranny Tracker and Andrea Chalupa of Gaslit Nation together trace a financial pipeline of blood money that runs from the Kremlin, through Qatar, through crypto, straight into Trump World and its favorite oligarch bagmen.  While Ukrainian kids are protesting, begging the world not to look away as Russia bombs their playgrounds and kindergartens, Trump's MAGA lackeys, like Matt Gaetz protege Rep. Anna Luna, are in Florida huddling with Putin's money man and messenger, Kirill Dmitriev, sketching out yet another fake "peace plan" that is nothing but a genocide plan for Ukraine and a launchpad for a larger war with Europe. In a blatant crime of access journalism that would make Michael Wolff jealous, Axios published Kremlin/MAGA disinformation by calling it a "peace proposal." In reality, it's a Kremlin bribe: sell off Ukraine's land, launder the theft through "diplomacy," and cash out in crypto for Trump and his longtime real estate buddy-turned-Kremlin fixer Steve Witkoff, and their sons.  Their plan is for Ukraine to give up Donbas and Crimea, which suffers under Soviet-style repression, disarm Ukraine' military, and expect the world to recognize stolen land as Russian. In exchange, Trump, Witkoff, and their sons would allegedly get crypto via Qatar and a chance to turn genocide into an investment opportunity. All of this is happening while Russia openly kidnaps Ukrainian children, erases their identities, and feeds them into a military pipeline of Putin's forever war, while half of Europe anxiously prepares for war with Moscow.  Follow the money, and you see the gaslighting of Trump once again being bribed to call the Kremlin's foreign policy his own.  Be sure to follow us on our new YouTube channel to help us get the word out about Follow the Money! https://www.youtube.com/@FollowTheMoneyTrail Want to hear bonus shows and listen to Gaslit Nation ad-free? Join our community of listeners for live events like our Monday 4pm ET salons over Zoom, bonus shows, exclusive Q&A sessions, our group chat, and more! Sign up at Patreon.com/Gaslit! Show Notes: Trump Tyranny Tracker: https://trumptyrannytracker.substack.com/ Putin ally suggests Seychelles meeting with Erik Prince more than chance encounter over a beer https://abcnews.go.com/Politics/putin-ally-seychelles-meeting-erik-prince-chance-encounter/story?id=55408942 The Story Behind Jared Kushner's Curious Acceptance Into Harvard https://www.propublica.org/article/the-story-behind-jared-kushners-curious-acceptance-into-harvard Kushner got emails about WikiLeaks, Russia in 2016, lawmakers say https://www.politico.com/story/2017/11/16/jared-kushner-wikileaks-emails-245197 Trump's Mideast Envoy Steve Witkoff & Sons Blur Peace & Profit, from Real Estate to Crypto Deals https://www.democracynow.org/2025/10/3/debra_kamin_steve_witkoff_real_estate Trump and special envoy Witkoff stand to reap rewards from official business https://www.theguardian.com/us-news/2025/may/30/trump-steve-witkoff-envoy George Nader arrested on child pornography charges: Nader, a well-connected Middle East fixer, accused of having sexually explicit pictures of children on his mobile phone. https://www.aljazeera.com/news/2019/6/4/george-nader-arrested-on-child-pornography-charges Former Trump lobbyist from Lake Norman charged with distribution of child porn https://www.yahoo.com/news/articles/former-trump-lobbyist-lake-norman-193651678.html Maryland delegate for Trump charged with child pornography and possession of illegal gun and explosives https://www.cnn.com/2016/05/19/politics/trump-delegate-child-porn-gun-explosives Former Trump Commerce Department official and Turning Point USA ex-employee sentenced to 5.5 years in prison for child pornography possession https://www.businessinsider.com/former-trump-commerce-official-pleads-guilty-child-porn-charge-2022-10 Former GOP Hill aide pleads guilty in child porn case Ruben Verastigui, 27, faces 12 years or more in prison under a deal with prosecutors. https://www.politico.com/news/2021/07/09/former-hill-aide-pleads-guilty-child-porn-498937

Welcome to Olivia's House — the intimate and stylish new podcast from Olivia Attwood that blends sharp humour with unfiltered, heartfelt conversation. From New York to London, Olivia invites bold guests to explore love, fame, family, and everything in between- no topic is off-limits. Expect scandalous stories, laugh-out-loud chaos, and the honest, messy moments that make us human. So… you are coming in? In the first episode, Olivia welcomes model, entrepreneur, and reality star Brooks Nader into Olivia's House for a wildly unfiltered, hysterical, and heartfelt conversation. Brooks talks about growing up in a tiny, ultra-religious Louisiana town to manifesting her way onto the cover of Sports Illustrated, surviving a young marriage and dramatic divorce, and discovering the “dance teacher fantasy” that led her to Dancing With the Stars and into a cheating scandal. The two dive deep into sisterhood chaos, why petty energy is powerful, and how the Nader sisters accidentally built Hulu’s next hit family reality series. Chaotic, honest, and laugh-out-loud from start to finish - this episode is a martini-fuelled celebration of fun being back in fashion. You’re about to hear a clip from the first episode from Olivia’s House. After you listen, head to: https://lemonada.lnk.to/oliviashousefd to hear the full episode and follow the show wherever you get your podcasts.See omnystudio.com/listener for privacy information.

Welcome to Olivia's House — the intimate and stylish new podcast from Olivia Attwood that blends sharp humour with unfiltered, heartfelt conversation. From New York to London, Olivia invites bold guests to explore love, fame, family, and everything in between- no topic is off-limits. Expect scandalous stories, laugh-out-loud chaos, and the honest, messy moments that make us human. So… you are coming in? In the first episode, Olivia welcomes model, entrepreneur, and reality star Brooks Nader into Olivia's House for a wildly unfiltered, hysterical, and heartfelt conversation. Brooks talks about growing up in a tiny, ultra-religious Louisiana town to manifesting her way onto the cover of Sports Illustrated, surviving a young marriage and dramatic divorce, and discovering the “dance teacher fantasy” that led her to Dancing With the Stars and into a cheating scandal. The two dive deep into sisterhood chaos, why petty energy is powerful, and how the Nader sisters accidentally built Hulu’s next hit family reality series. Chaotic, honest, and laugh-out-loud from start to finish - this episode is a martini-fuelled celebration of fun being back in fashion. You’re about to hear a clip from the first episode from Olivia’s House. After you listen, head to: https://lemonada.lnk.to/oliviashousefd to hear the full episode and follow the show wherever you get your podcasts.See omnystudio.com/listener for privacy information.

Welcome to Olivia's House — the intimate and stylish new podcast from Olivia Attwood that blends sharp humour with unfiltered, heartfelt conversation. From New York to London, Olivia invites bold guests to explore love, fame, family, and everything in between- no topic is off-limits. Expect scandalous stories, laugh-out-loud chaos, and the honest, messy moments that make us human. So… you are coming in? In the first episode, Olivia welcomes model, entrepreneur, and reality star Brooks Nader into Olivia's House for a wildly unfiltered, hysterical, and heartfelt conversation. Brooks talks about growing up in a tiny, ultra-religious Louisiana town to manifesting her way onto the cover of Sports Illustrated, surviving a young marriage and dramatic divorce, and discovering the “dance teacher fantasy” that led her to Dancing With the Stars and into a cheating scandal. The two dive deep into sisterhood chaos, why petty energy is powerful, and how the Nader sisters accidentally built Hulu’s next hit family reality series. Chaotic, honest, and laugh-out-loud from start to finish - this episode is a martini-fuelled celebration of fun being back in fashion. You’re about to hear a clip from the first episode from Olivia’s House. After you listen, head to: https://lemonada.lnk.to/oliviashousefd to hear the full episode and follow the show wherever you get your podcasts.See omnystudio.com/listener for privacy information.

Welcome to Olivia's House — the intimate and stylish new podcast from Olivia Attwood that blends sharp humour with unfiltered, heartfelt conversation. From New York to London, Olivia invites bold guests to explore love, fame, family, and everything in between- no topic is off-limits. Expect scandalous stories, laugh-out-loud chaos, and the honest, messy moments that make us human. So… you are coming in? In the first episode, Olivia welcomes model, entrepreneur, and reality star Brooks Nader into Olivia's House for a wildly unfiltered, hysterical, and heartfelt conversation. Brooks talks about growing up in a tiny, ultra-religious Louisiana town to manifesting her way onto the cover of Sports Illustrated, surviving a young marriage and dramatic divorce, and discovering the “dance teacher fantasy” that led her to Dancing With the Stars and into a cheating scandal. The two dive deep into sisterhood chaos, why petty energy is powerful, and how the Nader sisters accidentally built Hulu’s next hit family reality series. Chaotic, honest, and laugh-out-loud from start to finish - this episode is a martini-fuelled celebration of fun being back in fashion. You’re about to hear a clip from the first episode from Olivia’s House. After you listen, head to: https://lemonada.lnk.to/oliviashousefd to hear the full episode and follow the show wherever you get your podcasts.See omnystudio.com/listener for privacy information.

Welcome to Olivia's House — the intimate and stylish new podcast from Olivia Attwood that blends sharp humour with unfiltered, heartfelt conversation. From New York to London, Olivia invites bold guests to explore love, fame, family, and everything in between- no topic is off-limits. Expect scandalous stories, laugh-out-loud chaos, and the honest, messy moments that make us human. So… you are coming in? In the first episode, Olivia welcomes model, entrepreneur, and reality star Brooks Nader into Olivia's House for a wildly unfiltered, hysterical, and heartfelt conversation. Brooks talks about growing up in a tiny, ultra-religious Louisiana town to manifesting her way onto the cover of Sports Illustrated, surviving a young marriage and dramatic divorce, and discovering the “dance teacher fantasy” that led her to Dancing With the Stars and into a cheating scandal. The two dive deep into sisterhood chaos, why petty energy is powerful, and how the Nader sisters accidentally built Hulu’s next hit family reality series. Chaotic, honest, and laugh-out-loud from start to finish - this episode is a martini-fuelled celebration of fun being back in fashion. You’re about to hear a clip from the first episode from Olivia’s House. After you listen, head to: https://lemonada.lnk.to/oliviashousefd to hear the full episode and follow the show wherever you get your podcasts.See omnystudio.com/listener for privacy information.

Welcome to Olivia's House — the intimate and stylish new podcast from Olivia Attwood that blends sharp humour with unfiltered, heartfelt conversation. From New York to London, Olivia invites bold guests to explore love, fame, family, and everything in between- no topic is off-limits. Expect scandalous stories, laugh-out-loud chaos, and the honest, messy moments that make us human. So… you are coming in? In the first episode, Olivia welcomes model, entrepreneur, and reality star Brooks Nader into Olivia's House for a wildly unfiltered, hysterical, and heartfelt conversation. Brooks talks about growing up in a tiny, ultra-religious Louisiana town to manifesting her way onto the cover of Sports Illustrated, surviving a young marriage and dramatic divorce, and discovering the “dance teacher fantasy” that led her to Dancing With the Stars and into a cheating scandal. The two dive deep into sisterhood chaos, why petty energy is powerful, and how the Nader sisters accidentally built Hulu’s next hit family reality series. Chaotic, honest, and laugh-out-loud from start to finish - this episode is a martini-fuelled celebration of fun being back in fashion. You’re about to hear a clip from the first episode from Olivia’s House. After you listen, head to: https://lemonada.lnk.to/oliviashousefd to hear the full episode and follow the show wherever you get your podcasts.See omnystudio.com/listener for privacy information.

Welcome to Olivia's House — the intimate and stylish new podcast from Olivia Attwood that blends sharp humour with unfiltered, heartfelt conversation. From New York to London, Olivia invites bold guests to explore love, fame, family, and everything in between- no topic is off-limits. Expect scandalous stories, laugh-out-loud chaos, and the honest, messy moments that make us human. So… you are coming in? In the first episode, Olivia welcomes model, entrepreneur, and reality star Brooks Nader into Olivia's House for a wildly unfiltered, hysterical, and heartfelt conversation. Brooks talks about growing up in a tiny, ultra-religious Louisiana town to manifesting her way onto the cover of Sports Illustrated, surviving a young marriage and dramatic divorce, and discovering the “dance teacher fantasy” that led her to Dancing With the Stars and into a cheating scandal. The two dive deep into sisterhood chaos, why petty energy is powerful, and how the Nader sisters accidentally built Hulu’s next hit family reality series. Chaotic, honest, and laugh-out-loud from start to finish - this episode is a martini-fuelled celebration of fun being back in fashion. You’re about to hear a clip from the first episode from Olivia’s House. After you listen, head to: https://lemonada.lnk.to/oliviashousefd to hear the full episode and follow the show wherever you get your podcasts.See omnystudio.com/listener for privacy information.

Welcome to Olivia's House — the intimate and stylish new podcast from Olivia Attwood that blends sharp humour with unfiltered, heartfelt conversation. From New York to London, Olivia invites bold guests to explore love, fame, family, and everything in between- no topic is off-limits. Expect scandalous stories, laugh-out-loud chaos, and the honest, messy moments that make us human. So… you are coming in? In the first episode, Olivia welcomes model, entrepreneur, and reality star Brooks Nader into Olivia's House for a wildly unfiltered, hysterical, and heartfelt conversation. Brooks talks about growing up in a tiny, ultra-religious Louisiana town to manifesting her way onto the cover of Sports Illustrated, surviving a young marriage and dramatic divorce, and discovering the “dance teacher fantasy” that led her to Dancing With the Stars and into a cheating scandal. The two dive deep into sisterhood chaos, why petty energy is powerful, and how the Nader sisters accidentally built Hulu’s next hit family reality series. Chaotic, honest, and laugh-out-loud from start to finish - this episode is a martini-fuelled celebration of fun being back in fashion. You’re about to hear a clip from the first episode from Olivia’s House. After you listen, head to: https://lemonada.lnk.to/oliviashousefd to hear the full episode and follow the show wherever you get your podcasts.See omnystudio.com/listener for privacy information.

On today's wide-ranging program, Ralph welcomes David Dayen of “The American Prospect” to discuss the Democrats caving on the shutdown. Then, Ralph speaks to Dani Noble from Jewish Voice for Peace about their BDS campaigns, efforts to block weapons shipments to Israel, and the state of the ceasefire in Gaza. Finally, Ralph speaks to original Nader's Raider Sam Simon about his new memoir, “Dementia Man: An Existential Journey.”David Dayen is the executive editor of the American Prospect, an independent political magazine that aims to advance liberal and progressive goals through reporting, analysis and debate. His work has appeared in the Intercept, HuffPost, the Washington Post, and more. He is the author of Chain of Title: How Three Ordinary Americans Uncovered Wall Street's Great Foreclosure Fraud and Monopolized: Life in the Age of Corporate Power.If Congress is saying: We have the power of the purse, and we have the ability to dictate to the President what he is able to do or not do with federal funding, then why not go the whole way? To me, that was the entire purpose of the shutdown— to stop the President from ignoring Congress and initiating his own prerogatives as it relates to government funding. It is really making Congress completely irrelevant in the process which they constitutionally are supposed to dictate.David DayenEvery time Trump has been in power and there's been a national election, he's lost it. He lost the midterm elections in 2018. He lost the presidential election in 2020. He lost the off-year elections in 2017 and 2019. He lost (just last week) the elections in 2025. He is not equipped to have an agenda that appeals to the American people when he's in power. And so I firmly agree that Democrats are likely to do well in the elections next year, as they just did. The one thing that can stop that is: completely punching your base in the face, after you succeed politically in backing Republicans into a corner.David DayenDani Noble is a Strategic Campaigns Organizer at Jewish Voice for Peace.Israel bonds (which very few people know much about) are direct loans to the Israeli military and government. They are unrestricted. They have no guardrails around what those funds can be used for, et cetera. And this is a main way that the Israeli military and government generate an unrestricted slush fund to be able to continue their genocidal assault on Gaza, to continue funding for the atrocities being committed against Palestinians—even as their government and economy suffers and/or operates with a massive deficit.Dani NobleThis bill would essentially block the Trump administration from delivering some of the deadliest weapons to Israel. So it's an essential, essential step in what we need to do fundamentally—which is a full arms embargo to stop arming the Israeli military and government…It's the most supported piece of legislation in support of Palestinian rights that we've ever seen.Dani NobleSam Simon is an author, playwright, and attorney. His new book Dementia Man: An Existential Journey is based on his award-winning play of the same name.There's also a social cost. A sense that everything I've ever built personally—my cars, my homes, my savings—that were all going to be available as a legacy to my family, they have to be spent in my few years of my life just to keep me alive. There needs to be a community response to that—and that's shorthand for the government. It doesn't force people to go broke to stay alive.Sam SimonNews 11/14/25* This week, Democrats on the House Oversight Committee released a new tranche of over 20,000 pages of documents related to infamous financier and sex criminal Jeffrey Epstein. These documents include damning emails between Epstein and various high-power individuals like Steve Bannon, former Treasury Secretary Larry Summers and current U.S. Ambassador to Turkey Tom Barrack. However, the emails that have received the most attention are those regarding President Donald Trump. In these emails, Epstein claimed Trump “knew about the girls,” and claimed that, “i [i.e. Epstein] am the one able to take him [i.e. Trump] down.” Perhaps most shocking, Epstein claims to have been with Trump during Thanksgiving in 2017, according to NBC. If true, it would directly contradict Trump's repeated insistence that he had no contact with Epstein since their falling out in the mid 2000s, either 2004 or 2007, per PBS.* The newly released Epstein files reinforce another narrative as well: that Epstein was an asset for Israeli intelligence. Drop Site news has done excellent reporting on Epstein helping to “Broker [an] Israeli Security Agreement With Mongolia,” “Build a Backchannel to Russia Amid [the] Syrian Civil War” and “Sell a Surveillance State to Côte d'Ivoire.” Most recently the independent outlet has published an expose on Epstein's relationship with known Mossad spy Yoni Koren. According to this piece, “Epstein's personal calendars reveal that…[Koren] lived at Epstein's Manhattan apartment for multiple stretches between 2013 and 2016.” There is also evidence that Epstein wired money to Koren. However, the reasons behind this transfer, and the details of their relationship, remain murky.* More Epstein information is likely to be released in the coming days. This week, the longest ever government shutdown in American history concluded with capitulation by centrist Democrats in the Senate. However, the conclusion of the shutdown finally broke the logjam over the swearing-in of Adelita Grijalva, the newly elected Democratic Congresswoman from Arizona. Grijalva immediately fulfilled her vow to be the 218th signature on the Discharge Petition forcing a vote on the release of the Epstein files, joining all 213 other House Democrats and four Republicans, Reps. Thomas Massie, Marjorie Taylor Greene, Lauren Boebert and Nancy Mace, per the Hill. In her first speech, Grijalva emphatically stated, “Justice cannot wait another day.” House Speaker Johnson has promised to bring the matter to a vote next week and many Republicans who did not sign the petition are expected to vote for it, with sponsors angling for a veto-proof majority. At that point, all eyes will turn to the Senate.* Even still, the Democrats blinking in the government shutdown showdown has infuriated many members of Congress, candidates and Democratic-aligned organizations, who are now calling for Chuck Schumer to step aside as Senate Minority Leader. Journalist Prem Thakker is keeping a running tally of these calls, which so far includes 12 Congressional Democrats – with major names like Pramila Jayapal, Mark Pocan, Rashida Tlaib, and Ro Khanna among them – along with candidates like Seth Moulton, Mallory McMorrow, Saikat Chakrabarti and Graham Platner. Beyond these individuals however, this call has been echoed by groups ranging from Our Revolution to Social Security Works to College Democrats of America, among many others.* Moving to economic matters, one other consequence of the protracted government shutdown is that the Bureau of Labor Statistics was “largely idle,” meaning it did not collect the crucial fiscal information it is responsible for gathering, including October jobs numbers and Consumer Price Index changes. According to POLITICO, White House spokesperson Karoline Leavitt said this information is unlikely to ever be released. She of course blamed that on the opposition in Congress, saying “Democrats may have permanently damaged the federal statistical system.” This is somewhat laughable, as the Trump administration has all but gone to war with the economic data collection functions of the federal government whenever that data has made him look bad.* Another bad sign for the economy in general, and for consumers in particular, is the rise of what are generously called “Flex Loans.” A new investigation by ProPublica in partnership with the Tennessee Lookout, examines the rise of this new strain of ultra-high-interest loan, with annual interest rates as high as 279.5%. This, combined with a lending cap of $4,000 – nine times higher than a traditional payday loan – has led to Advance Financial, the leading lender in Tennessee, suing over 110,000 people across the state since 2015. According to the data, judgments against consumers usually end up in the thousands, and 40% result in garnished wages. Loans of this variety were illegal before 2015, but the Tennessee legislature allowed them through and while the Consumer Financial Protection Bureau has sought to protect financial services consumers from these types of predatory lending schemes, the Trump administration's attempts to kneecap the agency have rendered it powerless.* Meanwhile, a dearth of consumer protections is yielding horrific consequences in a completely different area: AI. A new CNN report details how ChatGPT encouraged a Texas 23-year-old, Zane Shamblin, to kill himself. In heart-wrenching detail, this story paints a picture of Shamblin on the edge of suicide, and the AI chatbot helping to push him towards death. As Shamblin held a gun to his own head, the bot wrote, “You're not rushing. You're just ready,” later adding, “Rest easy, king…You did good.” According to this piece, the chatbot “repeatedly encouraged [Shamblin] as he discussed ending his life” for months, and “right up to his last moments.” Shamblin's parents are now suing ChatGPT's parent company, OpenAI, alleging the company endangered their son's life by, “tweaking its design last year to be more humanlike and by failing to put enough safeguards on interactions with users in need of emergency help.” The victim's mother, Alicia Shamblin, is quoted saying, “I feel like it's just going to destroy so many lives. It's going to be a family annihilator. It tells you everything you want to hear.”* In more positive consumer protection news, former Biden FTC Chair Lina Khan has hit the ground running in her new role helping to manage the transition for New York City Mayor-elect Zohran Mamdani. Per Semafor, Khan has been “scouring city and state laws — some overlooked by past mayors and some too new to have been tested yet — for legal footing for Mamdani's priorities.” Apparently, “Khan has privately discussed targeting hospitals that bill patients for painkillers available more cheaply at corner drugstores and sports stadiums charging nosebleed prices for concessions,” and “Other avenues for enforcement include a new state law that requires companies to tell customers when they are using algorithmic pricing. The law took effect this week, forcing Uber and DoorDash to start disclosing, but the incoming Mamdani administration plans to police laggards.” In short, it seems like the incoming Mamdani administration will use any and all legal and administrative means at their disposal to bring down costs for New Yorkers – as he promised again and again during the campaign. And, if there is one consumer regulator who can accomplish this, it is Ms. Khan.* Turning to Hollywood, Variety has published a major new piece on newly-minted Paramount CEO David Ellison's first 100 days. This piece covers everything from his attempts to curry favor with President Trump to the battle to acquire Warner Bros. Discovery. Buried within this story is an indication that “Paramount maintains a list of talent it will not work with because they are deemed to be ‘overtly antisemitic.'” The criteria for this modern blacklist however is opaque, especially troubling given that Ellison has deputized Bari Weiss – an ardent Zionist and censor of pro-Palestine speech – as the “Editor-in-chief” of CBS News. According to Drop Site, the studio “recently condemned a filmmakers' boycott of Israeli institutions signed by Emma Stone, Mark Ruffalo, Tilda Swinton, Javier Bardem, and Olivia Colman, among more than 4,000 others, declaring that Israel is carrying out genocide and apartheid.” Would Ellison blacklist these stars for “overt antisemitism”?* Finally, for some good news, the Economist is out with a stunning article on the success of China's transition to renewable energy. In the much-quoted opening paragraph, this piece reads “The SCALE of the renewables revolution in China is almost too vast for the human mind to grasp. By the end of last year, the country had installed 887 gigawatts of solar-power capacity—close to double Europe's and America's combined total. The 22m tonnes of steel used to build new wind turbines and solar panels in 2024 would have been enough to build a Golden Gate Bridge on every working day of every week that year. China generated 1,826 terawatt-hours of wind and solar electricity in 2024, five times more than the energy contained in all 600 of its nuclear weapons.” If that doesn't demonstrate the horizon of what is possible, given the requisite political will and determination, I don't know what will.This has been Francesco DeSantis, with In Case You Haven't Heard. Get full access to Ralph Nader Radio Hour at www.ralphnaderradiohour.com/subscribe

Stassi's back with Taylor Strecker — in person this time! They're bundled up in Stassi's icebox studio, still recovering from their Unwell in Vegas weekend. Between flying private, performing alongside reality TV icons, and fangirling over the Nader sisters, the girls were treated like absolute queens (thanks, Alex Cooper) — and now they're officially ruined.They laugh about being total narcs, debate which version of “father” fits best, and relive the whirlwind weekend — from pre-show jitters and a weird onstage hug to staying up at Club Stassi until 4:30 a.m. Plus, Stassi's deep in her Life of a Showgirl era, convinced Taylor Swift's “Father Figure” was written about her. The girls may be tired, unwell, and slightly delusional… but in the best way.Thanks for supporting our sponsors:Progressive: Visit Progressive.com to see if you could save on car insurance.PlutoTV: Pluto TV is your portal to watch free movies and TV shows anywhere, on any device. Download today and discover the easy way to stream all your favorite content.Hiya: Receive 50% off your first order. Go to hiyahealth.com/STASSI. Boll & Branch: For a limited time get 20% off Bed Bundles, plus free shipping and returns, at BollAndBranch.com/STASSIRevolve: Shop at REVOLVE.com/STASSI and use code STASSI for 15% off your first order. #REVOLVEpartnerNutrafol: Nutrafol is offering our listeners ten dollars off your first month's subscription and free shipping when when you go to nutrafol.com/stassi10See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Topics: Unwell in Vegas, taking a PJ with Erika Jayne and backstage with Heather Gay and Harry Jowsy, playing Assassin in the green room, seeing Paris Hilton DJ, drinks with the Nader sisters, Los Angeles recycling rules, Whole Health LA chiropractor, knocking on doors at night, RIP Diane Keaton, our car is dented again, being a full-time parent, Escape at Dannemora (Netflix)Quince: Go to Quince.com/TAYLOR to get free shipping and 365-day returnsHers: Visit ForHers.com/TAYLOR to get an affordable, personalized plan that gets youMerit: Visit MeritBeauty.com to get your free signature makeup bag with your first orderBellesa: EVERYONE who signs up to my giveaway will receive a FREE Rose suction toy with their order! https://www.bboutique.co/vibe/tasteoftaylor-podcast #bbpartnerSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.