Podcasts about Tron

In this episode, Ned and Joe discuss Tron: Ares (2025).⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Subscribe⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Now on YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Where to watch?⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Threads⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Ned's Letterboxd⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Joe's Letterboxd

Mike and Tyler read listener mail. They talk Tron, Commander Keen turning 35, and Mike reads an email that makes him so giddy he could hardly contain himself. The theme music is by RoccoW. The logo was created by Dani Dodge.

Pull up a chair at the Roundtable because this episode brings together **Remy, Doc, and Mike** for a fun and lively discussion about Florida's theme parks! Right at the start of the show, Remy throws out a tough question to the crew: **If you could keep only one theme park in Florida forever, which one would it be?** Mike and Doc each make their case, leading to a passionate debate about the rides, memories, and experiences that make their chosen park worth saving.In **The Latest Theme Park Updates**, the Roundtable dives into one of the biggest rumors currently buzzing through the theme park community: **Could Halloween Horror Nights eventually make its way over to Epic Universe?** The crew breaks down the speculation, what it could mean for Universal's future, and whether a horror event at Epic Universe could actually happen.Then it's time for **Remy's Ride of the Week**, where Remy takes Mike over to Magic Kingdom to talk about the high-speed thrill ride **TRON Lightcycle Run**. They break down the ride experience, the technology behind the attraction, the story of stepping into the Grid, and why this coaster has quickly become one of the most talked-about rides at Walt Disney World.Finally, the episode wraps up with everyone's favorite food segment, **Mike's Munchies**. This time, Mike brings Remy to **EPCOT's Flower and Garden Festival**, sampling some of the delicious offerings from the festival booths. After trying a few tasty items around the park, Mike rings up the final tab for the festival bites… coming to a **total of $60** for the adventure.So grab your headphones, join the conversation, and enjoy another fun episode of **Remy's Roundtable: The Florida Theme Park Podcast!

This week, the boys headed to 1970 to the new decade of the new wave of American independent cinema! Bob Rafelson's “Five Easy Pieces” established the behavior-driven, theme-over-plot indie movies that paved the way for the best era for indies. Jack Nicholson is a badass (asshole) prodigy-turned-roustabout looking to find himself in people he's willing to screw over in Bob Rafelson's seminal movie. After John fires off some mini-reviews and news, we set up the film year of 1970 before we drink beers and try to keep our conversation positive! linktr.ee/theloveofcinema - Check out our YouTube page!  Our phone number is 646-484-9298. It accepts texts or voice messages.  0:00 Intro; 5:45 “Crime 101” mini-review; 7:25 “Midwinter Break” mini-review; 13:52 1970 Year in Review; 28:00 Films of 1970: “Five Easy Pieces”; 1:11:48 What You Been Watching?; 1:21:36 Next Week's Episode Teaser Additional Cast/Crew: Karen Black, Sally Struthers, Billy Green Bush, Fannie Flagg, Lois Smith, Carole Eastman, Laszlo Kovacs, Chris Hemsworth, Mark Ruffalo, Barry Keoghan, Bart Layton, Hale Berry, Jennifer Jason Leigh, Tate Donovan, Corey Hawkins, Don Winslow, Polly Findlay, Lesley Manville, Ciaran Hinds. Hosts: Dave Green, Jeff Ostermueller, John Say Edited & Produced by Dave Green. Beer Sponsor: Carlos Barrozo Music Sponsor: Dasein Dasein on Spotify: https://open.spotify.com/artist/77H3GPgYigeKNlZKGx11KZ 
Dasein on Apple Music: https://music.apple.com/us/artist/dasein/1637517407 Recommendations: Springsteen: Deliver Me From Nowehere, Nuremburg, Fallout, Star Trek: Starfleet Academy, They Live, Paradise, John Carpenter, The Muppet Series, Bedknobs and Broomsticks, The Pitt, Blue Moon, A Knight of the Seven Kingdoms.  Additional Tags: Warner Discovery, Paramount Skydance, Annapurna Films, Old Man Marley, Home Alone, Shawshenk Redemption, Gordon Ramsay, Thelma Schoonmaker, Stephen King's It, The Tenant, Rosemary's Baby, The Pianist, Cul-de-Sac, AI, The New York City Marathon, Apartments, Tenants, Rent Prices, Zohran Mamdani, Andrew Cuomo, Curtis Sliwa, Amazon, Robotics, AMC, IMAX Issues, Tron, The Dallas Cowboys, Short-term memory loss, Warner Brothers, Paramount, Netflix, AMC Times Square, Tom Cruise, George Clooney, MGM, Amazon Prime, Marvel, Sony, Conclave, Here, Venom: The Last Dance, Casablanca, The Wizard of Oz, Oscars, Academy Awards, BFI, BAFTA, BAFTAS, British Cinema. England, Vienna, Leopoldstadt, The Golden Globes, Past Lives, Apple Podcasts, West Side Story, Adelaide, Australia, Queensland, New South Wales, Melbourne, The British, England, The SEC, Ronald Reagan, Stock Buybacks, Marvel, MCU, DCEU, Film, Movies, Southeast Asia, The Phillippines, Vietnam, America, The US, Academy Awards, WGA Strike, SAG-AFTRA, SAG Strike, Peter Weir, Jidaigeki, chambara movies, sword fight, samurai, ronin, Meiji Restoration, plague, HBO Max, Amazon Prime, casket maker, Seven Samurai, Roshomon, Sergio Leone, Clint Eastwood, Stellan Skarsgard, the matt and mark movie show.The Southern District's Waratah Championship, Night of a Thousand Stars, The Pan Pacific Grand Prix (The Pan Pacifics), Jeff Bezos, Rupert Murdoch, Larry Ellison, David Ellison, Elon Musk, Mark Zuckerberg.   

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

Z najnudniejszej firmy świata wyrosła dynastia, która będzie rządzić światem rozrywki i mediów. A ich macki sięgają także Polski. Mowa oczywiście o Larrym i Davidzie Ellisonach, przedsiębiorcach, do których należy prawdziwe imperium: Skydance, Paramount, Oracle, CBS, MTV, Comedy Central, amerykański TikTok, a teraz są na ostatniej prostej, by przejąć Warner Bros., a z nimi: DC Studios, serwis streamingowy HBO Max (na którym można oglądać chociażby "Grę o Tron", "Harry'ego Pottera", "Władcę Pierścieni" i wiele innych superprodukcji), kanały telewizyjne CNN i TVN, a także Discovery Channel, Food Network, Cartoon Network z kreskówkami, czy sportowy Eurosport. Ellisonowie, obaj blisko związani z Trumpem i Republikanami, już wprowadzili poważne zmiany ideologiczne w stacji CBS. CNN ma być następny. Czy potem przyjdzie kolej na TVN? Czyli w dzisiejszym odcinku przyjrzymy się, kim są Ellisonowie, skąd wziął się ich kapitał, jak budowali własny kapitał polityczny i dlaczego od lat są na obrzeżach największych decydentów i inwestycji. Wyjaśnienie: W tym odcinku wkradł się błąd - przedstawiłyśmy dyrektora generalnego UFC Danę White'a jako dyrektorkę generalną. Przepraszamy! ŹRÓDŁA: - o początkach Davida Ellisona w Paramount: https://variety.com/2025/film/features/david-ellison-hollywood-takeover-paramount-warner-bros-1236569136/ - o pierwszych sukcesach produkcyjnych Davida Ellisona: https://www.wsj.com/business/media/skydance-ellison-top-gun-reacher-family-plan-paramount-86276f82 - o wsparciu Larry'ego Ellisona dla Republikanów: https://www.politico.com/story/2016/02/marco-rubio-larry-ellison-219549 - o kontaktach Oracle z administracją Trumpa: https://www.nytimes.com/2020/09/04/technology/oracle-tiktok-trump.html - o awanturze wokół JEDI: https://www.seattletimes.com/business/oracle-loses-protest-of-pentagon-cloud-bid-seen-favoring-amazon/ - ciąg dalszy awantury wokół JEDI: https://wyborcza.biz/biznes/7,177150,27300458,pentagon-odwolal-warty-10-mld-dol-kontrakt-z-microsoftem.html - o propozycji nowej nazwy: https://www.bloomberg.com/news/newsletters/2026-03-07/how-hbo-s-relevance-will-diminish-post-merger?srnd=phx-pursuits - o zaangażowaniu Jareda Kushnera w negocjacje: https://www.reuters.com/legal/transactional/kushner-role-bid-warner-bros-raises-ethical-questions-experts-say-2025-12-08/ - o telefonie Larry'ego Ellisona do Donalda Trumpa: https://www.wsj.com/business/media/paramount-netflix-warner-bros-battle-ellisons-a86fe15c - o kontroli, której ma być poddana transakcja: https://www.theguardian.com/film/2026/mar/05/paramount-warner-bros-merger-hurdles - odcinki archiwalne, które polecamy do odsłuchania: numer 18 i 27

Scott, cofounder of SideSwap, joins the show to talk about what his team has been quietly building in the Liquid ecosystem. We cover SideSwap's atomic swap markets, their peg-in/peg-out service, and how partners like Aqua Wallet are plugging into their infrastructure. Scott breaks down the new Liquid Connect feature, their first Simplicity based binary outcome contracts on Swaption, and the roadmap toward Bitcoin native prediction markets on Liquid. We also get into Liquid's privacy advantages over Tron and Ethereum for Tether users, the surprising growth of the Brazilian stablecoin dePix, the federation trust model debate, and why liquid adoption has been slow but may finally be turning a corner.Sideswap: https://sideswap.ioSwaption: https://swaption.ioLiquid Explorer: https://liquid.networkTether Stats: https://usdt.networkSideswap on X: https://x.com/side_swapEPISODE: 194BLOCK: 940011PRICE: 1452 sats per dollar(03:00) Introducing Scott and Sideswap(05:01) Non‑custodial swaps, peg‑in/peg‑out, and order books(08:08) Liquidity on Liquid: USDT vs. dePix in Brazil(10:03) Market making tools and dealer participation(11:58) Why Liquid adoption lagged and what may change(14:08) Confidential transactions, Tether on Liquid, and privacy gains(18:10) USDT on Liquid: issuance, custody patterns, and censorship resistance(21:08) Prediction markets on Liquid: vision and building blocks(24:46) Designing binary contracts and oracle models(28:54) Trust models: Liquid federation vs. alt L2s(33:29) Pragmatism in scaling: Spark, Phoenix, and layered ledgers(36:33) Liquid Wallet Connect and Swaption MVP(41:13) Ecosystem growth, integrations, and Brazil network effects(43:19) Simplicity on Liquid: why it matters for Bitcoiners(46:26) Calls to action: try swaps, order books, and Swaption(50:31) User experience: Lightning vs. Liquid in practice(52:41) AI agents and potential Liquid use cases(54:46) Roadmap: Satoshi Dice, oracles, and a Polymarket‑style proof of conceptmore info on the show: https://citadeldispatch.comlearn more about me: https://odell.xyzmonitor the situation: https://citadelwire.com

Are retail investors just exit liquidity? We unpack the token premium, forced price discovery, and what Ethereum and Tron data reveals about when fundamentals actually matter. Featuring insights from Haseeb Qureshi of Dragonfly. As always, remember this podcast is for informational purposes only, and any views expressed by anyone on the show are solely their opinions, not financial advice. – Follow Blockworks Research: https://x.com/blockworksres Follow Haseeb: https://x.com/hosseeb Follow David: https://x.com/dcanellis — Nexo is the premier digital wealth platform. Receive interest on your crypto, borrow against it without selling, and trade a range of assets. Now available in the U.S with 30 days of exclusive privileges. Get started at nexo.com/breakdown __ Get top market insights and the latest in crypto news. Subscribe to Blockworks Daily Newsletter: https://blockworks.co/newsletter/ —-- Timestamps: (00:00) Introduction (01:26) Premium Economy (03:21) Same, But Different (04:59) Nexo Ad (05:27) DAS Promo (06:20) Price Is Like An Onion (11:18) Nexo Ad (12:07) Interview with Haseeb Qureshi - - Disclaimer: Nothing said on The Breakdown is a recommendation to buy or sell securities or tokens. This podcast is for informational purposes only, and any views expressed by anyone on the show are solely our opinions, not financial advice. Host and guests may hold positions in the companies, funds, or projects discussed.

Are retail investors just exit liquidity? We unpack the token premium, forced price discovery, and what Ethereum and Tron data reveals about when fundamentals actually matter. Featuring insights from Haseeb Qureshi of Dragonfly. As always, remember this podcast is for informational purposes only, and any views expressed by anyone on the show are solely their opinions, not financial advice. – Follow Blockworks Research: https://x.com/blockworksres Follow Haseeb: https://x.com/hosseeb Follow David: https://x.com/dcanellis — Nexo is the premier digital wealth platform. Receive interest on your crypto, borrow against it without selling, and trade a range of assets. Now available in the U.S with 30 days of exclusive privileges. Get started at nexo.com/breakdown __ Get top market insights and the latest in crypto news. Subscribe to Blockworks Daily Newsletter: https://blockworks.co/newsletter/ —-- Timestamps: (00:00) Introduction (01:26) Premium Economy (03:21) Same, But Different (04:59) Nexo Ad (05:27) DAS Promo (06:20) Price Is Like An Onion (11:18) Nexo Ad (12:07) Interview with Haseeb Qureshi - - Disclaimer: Nothing said on The Breakdown is a recommendation to buy or sell securities or tokens. This podcast is for informational purposes only, and any views expressed by anyone on the show are solely our opinions, not financial advice. Host and guests may hold positions in the companies, funds, or projects discussed.

Aujourd'hui, Jean-Loup Bonnamy, professeur de philosophie, Zohra Bitan, cadre de la fonction publique, et Charles Consigny, avocat, débattent de l'actualité autour d'Alain Marschall et Olivier Truchot.

Soly, Neil and Tron react to Nico Echavarria's win at the Cognizant and the unfortunate late collapse by Shane Lowry. We look at the up and down history of the event and then enjoy a medium dive on Lowry's career to this point and how it compares to others of his generation.  We also check the leaderboards at the Cognizant and the DP World Tour, react to Eamon Lynch's article on Brian Rolapp and rumored plans for the future PGA Tour scheduling model,  Timestamps 00:00 - Intro & Cognizant Recap 28:15 - Lowry career deep-ish dive 43:00 - down the leaderboard, other tournaments 1:05:30 - Eamon Lynch column on Rolapp and schedule 1:21:00 - news and notes Join us in our support of the Evans Scholars Foundation: ⁠⁠⁠⁠https://nolayingup.com/esf⁠ Support our Sponsors: Titleist SoFi Gruns If you enjoyed this episode, consider joining⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ The Nest⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠: No Laying Up's community of avid golfers. Nest members help us maintain our light commercial interruptions (3 minutes of ads per 90 minutes of content) and receive access to exclusive content, discounts in the pro shop, and an annual member gift. It's a $90 annual membership, and you can sign up or learn more at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠nolayingup.com/join⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Subscribe to the No Laying Up Newsletter here: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://newsletter.nolayingup.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Subscribe to the No Laying Up Podcast channel here: https://www.youtube.com/@NoLayingUpPodcast Learn more about your ad choices. Visit megaphone.fm/adchoices

Here is your Daily Disney News for Sunday, March 1st, 2026 - Tokyo Disney Resort is hosting its Cherry Blossom Festival, featuring a Sakura Night Parade with Disney characters in traditional Japanese attire. - Walt Disney World's new Tron Lightcycle Run at Magic Kingdom promises an exhilarating ride through a digital Tron-themed world. - Disney+ debuts "Behind the Magic: The Imagineers' Journey," showcasing the creative process behind Disney attractions. - Disneyland Paris gears up for the Flower and Garden Festival with floral displays and Disney character topiaries. Have a magical day and tune in again tomorrow for more updates.

Soly, Neil and Tron have searched far and wide for rules controversies from recent, and not so recent, golf history.  Enjoy this look at some of our favorites including Tiger's drop on 15 at Augusta in 2013 as well as some dust ups involving the Walrus, Monty, Arnie and Brooks. Plus - of course - TC's extensive list of other possible infractions we'll save for another day. Timestamps 0:00 - Intro 5:10 - Tiger's drop at the 2013 Masters 34:15 - 1987 Craig Stadler TowelGate 1:01:30 - Monty's Jakarta incident 1:13:05 - Arnie at the 1958 Masters 1:34:45 - Brooks at the 2023 Masters Show Notes: Golf Digest Video on the 2013 Tiger Drop Join us in our support of the Evans Scholars Foundation: ⁠⁠⁠⁠https://nolayingup.com/esf⁠ Support our Sponsors: Titleist Rhoback Lagoon If you enjoyed this episode, consider joining⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ The Nest⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠: No Laying Up's community of avid golfers. Nest members help us maintain our light commercial interruptions (3 minutes of ads per 90 minutes of content) and receive access to exclusive content, discounts in the pro shop, and an annual member gift. It's a $90 annual membership, and you can sign up or learn more at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠nolayingup.com/join⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Subscribe to the No Laying Up Newsletter here: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://newsletter.nolayingup.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Subscribe to the No Laying Up Podcast channel here: https://www.youtube.com/@NoLayingUpPodcast Learn more about your ad choices. Visit megaphone.fm/adchoices

On today's episode of The Agenda, Finn Caddie joins ACC Head G Lane and has an issue to raise about a breach of privacy within the ACC team (00:00)...Next, they discuss the Black Caps absolutely sucking the life out of Sri Lanka and knocking them out of their own World Cup, and Melie Kerr putting a hurting on Zimbabwe in the Tron (07:25)! Plus, G Lane tells an incredible story about Bernie Ecclestone and an EasyJet flight (14:20)...Finally, they get to your feedback in 'Yours Please' (26:40)... Did you know that we've launched a new Facebook Group called 'The Caravan' JOIN HERE! Brought to you by Export Ultra! Follow The ACC on Instagram or Facebook or TikTok Subscribe to The Agenda Podcast now on iHeartRadio, YouTube, or wherever you get your podcasts! iHeartRadio Apple Spotify YouTube THANKS MATE! See omnystudio.com/listener for privacy information.

This week, the boys grabbed some beers and kept it positive while they fired off some mini-reviews before featuring a conversation about “Eternal Sunshine of the Spotless Mind”. As part of the random year generator series, 2004 was a great year for movies, with over 50 $100m movies and many likable ones. While “Eternal Sunshine” didn't gross in the top 70, it may be the year's greatest film. Props to Michel Gondry and Charlie Kaufman for giving Jim Carrey and Kate Winslet some juicy roles and incredibly shifty worlds! As for the mini-reviews, the boys can't speak highly enough of Gore Verbinski's “Good Luck, Have Fun, Don't Die”, starring Sam Rockwell, and the intense and captivating “If I Had Legs I'd Kick You”, and the Academy Award-nominated “It Was Just An Accident”. Grab some beers and join us!  linktr.ee/theloveofcinema - Check out our YouTube page!  Our phone number is 646-484-9298. It accepts texts or voice messages.  0:00 Intro; 04:19 “If I Had Legs I'd Kick You” mini-review; 12:10 “Good Luck, Have Fun, Don't Die” mini-review; 18:24 “It Was Just An Accident” mini-review; 22:20 2004 Year in Review; 39:01 Films of 2004: “Eternal Sunshine of the Spotless Mind”; 1:16:10 What You Been Watching?; 1:23:05 Next Week's Episode Teaser Additional Cast/Crew: Michel Gondry, Charlie Kaufman, Pierre Busmuth, David Cross, Elijah Wood, Mark Ruffalo, Kirsten Dunst, Tom Wilkinson, Sam Rockwell, Gore Verbinski, Michael Pena, Zazie Beetz, Haley Lu Richardson, Juno Temple, Jafar Panahi, Rose Byrne, Conan O'Brien, A$AP Rocky. Hosts: Dave Green, Jeff Ostermueller, John Say Edited & Produced by Dave Green. Beer Sponsor: Carlos Barrozo Music Sponsor: Dasein Dasein on Spotify: https://open.spotify.com/artist/77H3GPgYigeKNlZKGx11KZ 
Dasein on Apple Music: https://music.apple.com/us/artist/dasein/1637517407 Recommendations: Fallout, Star Trek: Starfleet Academy, They Live, Paradise, John Carpenter, The Muppet Series, Bedknobs and Broomsticks, The Pitt, Blue Moon, A Knight of the Seven Kingdoms.  Additional Tags: Old Man Marley, Home Alone, Shawshenk Redemption, Gordon Ramsay, Thelma Schoonmaker, Stephen King's It, The Tenant, Rosemary's Baby, The Pianist, Cul-de-Sac, AI, The New York City Marathon, Apartments, Tenants, Rent Prices, Zohran Mamdani, Andrew Cuomo, Curtis Sliwa, Amazon, Robotics, AMC, IMAX Issues, Tron, The Dallas Cowboys, Short-term memory loss, Warner Brothers, Paramount, Netflix, AMC Times Square, Tom Cruise, George Clooney, MGM, Amazon Prime, Marvel, Sony, Conclave, Here, Venom: The Last Dance, Casablanca, The Wizard of Oz, Oscars, Academy Awards, BFI, BAFTA, BAFTAS, British Cinema. England, Vienna, Leopoldstadt, The Golden Globes, Past Lives, Apple Podcasts, West Side Story, Adelaide, Australia, Queensland, New South Wales, Melbourne, The British, England, The SEC, Ronald Reagan, Stock Buybacks, Marvel, MCU, DCEU, Film, Movies, Southeast Asia, The Phillippines, Vietnam, America, The US, Academy Awards, WGA Strike, SAG-AFTRA, SAG Strike, Peter Weir, Jidaigeki, chambara movies, sword fight, samurai, ronin, Meiji Restoration, plague, HBO Max, Amazon Prime, casket maker, Seven Samurai, Roshomon, Sergio Leone, Clint Eastwood, Stellan Skarsgard, the matt and mark movie show.The Southern District's Waratah Championship, Night of a Thousand Stars, The Pan Pacific Grand Prix (The Pan Pacifics), Jeff Bezos, Rupert Murdoch, Larry Ellison, David Ellison, Elon Musk, Mark Zuckerberg.   

This week after catching up with the crew and sharing some news the gang digs into all the details about the Spirit Wave Radio and Ecosystem, and the Spirit 3 and W1 FBLs.  We'll cover in detail what the experience is like to do a full setup from the radio, and just how easy, is the "easy button" Spirit Wave ecosystem.  How does it fly, what the defaults are like, telemetry and other capabilities, and a good overall review of how the system flies and how easy it is to work with.As always...  thanks for listening!Website:www.rotorrevolution.liveFacebook:www.facebook.com/rotorrevolutionrcpodcastEmail:questions@rotorrevolution.liveSwag Store:www.zazzle.com/rotorrevolution

Send a textA peach-forward cocktail in hand, we jump straight into the week's biggest Disney shifts and rumors with zero fluff. Josh D'Amaro steps further into the spotlight while Dana Walden steers studios and streaming, and we break down what that likely means for parks, films, and timelines. If you've wondered whether “safe choice” can still deliver bold parks, we make the case for steady hands, clear priorities, and smarter sequencing after the stop-start era of Galaxy's Edge and Tron.From there, it's all gas: Dinosaur's days are done, Villains Land gets louder in the rumor mill, and permits hint at an indoor story coaster paired with a family dark ride wrapped in conjured Art Nouveau. We talk about the right mix of E-, B-, and C-level attractions, how to turn Magic Kingdom into a comfortable two-day plan, and why operational pacing matters as much as blue-sky ideas. Over at Hollywood Studios, the Rock 'n' Roller Coaster Muppets retheme sparks giddy anticipation for music, neon, and mayhem—plus a gentle PSA that kid-friendly themes don't erase big-thrill intensity.We also zoom into the details that shape guest experience. Disney's crackdown on AI-made character content collides with reported OpenAI collaboration, and we sketch a path for safe, delightful AI-powered character interactions that protect IP while surprising guests. Afternoon Tea at the Grand Floridian returns as a slow, elegant splurge perfect for a rest day, while a Disneyland app outage reminds everyone that seamless tech is part of the magic. Merch mania rages on with glow-up buckets and princess scents, and we end with a sobering safety note after a late-night tree fall near Plaza Inn—because maintenance and communication keep the fantasy intact.Pour something peachy and join us for a candid tour of what's changing, what's working, and what needs a rethink across Disney parks and movies. If you're excited by Villains Land, curious about AI in character meet-and-greets, or counting days to the Muppets coaster, hit play. Then tell us: what bold idea do you most want Imagineering to build next? Subscribe, rate, and share with a Disney friend who loves a good rumor and a great ride plan.

Caleb and Eric are back in the bar for yet another bonus episode covering a wide array of topics, such as Zootopia, Francis For Coppola's Megalopolis, Tron: Ares and many more.   This episode was recorded on various dates from later half of 2025.   Email the show at thenoviceelitists@gmail.com

Tron discusses the tough loss vs GCU, and tries to find reasons to not give up hope just yet.

Nick and Justin crumble down to junk after 30 minutes in the real world. Post show song: CUSHIONS BEFORE PINS, from the upcoming PKG album THE MOTHER (Nunziata, Robinson, Murphy, Makarewicz).  By the way, you can donate to this show in the link if you have more money than sense. You can follow on Insta and on Twit and can comment on these on the Boards. You can also write a 5 star review on Apple Podcasts!Theme music by Nick Nunziata and Steve Murphy and their many bands can be heard on Soundcloud.

This week we review and discuss "Tron: Ares". Does this film work bringing its characters out of the grid? How is it stylistically different from the first two films? Do we want more Tron? All of that and more this week on Monoreel Radio. Join the conversation on social media @monoreelradio on all major platforms or send us an email at monoreelradio@gmail.com. For links to anything you heard on the show, visit our website and if you want to experience the Disney magic for yourself, click here to start planning your next vacation.

DJ, Tron and Neil debrief on our trip to Western and Central Nebraska which we depicted in a video that premiered on the NLU YouTube channel a couple of weeks ago No Laying Up: Nebraska Join us in our support of the Evans Scholars Foundation: ⁠⁠⁠⁠https://nolayingup.com/esf⁠ Support our Sponsors: Titleist Golf Pride East Sands Golf Co If you enjoyed this episode, consider joining⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ The Nest⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠: No Laying Up's community of avid golfers. Nest members help us maintain our light commercial interruptions (3 minutes of ads per 90 minutes of content) and receive access to exclusive content, discounts in the pro shop, and an annual member gift. It's a $90 annual membership, and you can sign up or learn more at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠nolayingup.com/join⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Subscribe to the No Laying Up Newsletter here: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://newsletter.nolayingup.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Subscribe to the No Laying Up Podcast channel here: https://www.youtube.com/@NoLayingUpPodcast Learn more about your ad choices. Visit megaphone.fm/adchoices

You know what people really love? No, not millions of dollars in unmarked bills delivered to their front door. It's sequels after years of waiting. Which is why the movie Tron: Legacy was the most beloved of all. So how do you follow up with that? Wait over fifteen years and deliver another sequel. So we get Tron: Ares[2025]. Tron: Ares asks the bold question, did anybody watch or remember Tron: Legacy? It stars Evan Peters as the grandson of Dillinger and he created Ares, played by Jared Leto. Baby Dillinger is trying to sell weapons and soldiers brought into the real world via lasers. Meanwhile Greta Lee is CEO … Continue reading "Popcorn Pulse 259: Tron Drags"

Hello there, and a very happy Tuesday to you! This is your Disney News for Tuesday, February 17th, 2026. Let's dive into the magic and wonder of what's happening in the world of Disney today! - Disneyland Tokyo unveils "The Enchanted Gardens," an interactive attraction blending technology and nature. - Walt Disney World's Magic Kingdom opens "Tron Lightcycle Run," a thrilling ride inspired by the Tron films. - "Frozen III" is set to release this fall, promising to explore Elsa's powers and new lands. - Disney Publishing introduces a new book series focused on Disney Villains, revealing their backstories and motivations. Thanks for tuning in, and I hope you have a truly magical day ahead. Remember to check in tomorrow for more Disney updates. See you tomorrow!

Between 2014 and 2019, Riccardo Spagni (aka Fluffy Pony) led the development and engineering efforts of the Monero privacy. But he's also been a prominent bitcoiner since 2011, who did mining and supported e-commerce. He built a solid reputation on the Bitcoin OTC trading platform, created the PayBee and Globee payment processors, and even invented OpenAlias in order to simplify the now-standardized address format. In this episode, we talk about his contributions and what he's currently up to. Time stamps: 00:01:32 – Introduction & Magical Crypto Friends Era 00:02:57 – Challenges of Producing Magical Crypto Friends 00:04:26 – Craig Wright Satire & Community Targets 00:07:59 – Early Bitcoin Community & 2011 Generation 00:08:53 – Satoshi's Intentions & Early Bitcoin Culture 00:13:00 – Technical Openness & Developer Culture 00:16:34 – Toxicity, Bag Bias, and Gloria Zhao Incident 00:22:27 – Ordinals, Spam, and Censorship Debates 00:29:24 – Privacy, Permissionlessness, and Miner Censorship 00:31:53 – Technical Flaws of Filtering & Forking Lessons 00:41:04 – Bitcoin Cash, Forks, and Movement Unity 00:45:57 – Economic Dogma vs. Technical Reality 00:47:40 – Layer 2, Lightning, and Privacy Limitations 00:49:38 – Magic Wand: Ideal Bitcoin Privacy Upgrades 00:52:31 – ETFs, Custodians, and Institutional Privacy 00:55:00 – Sponsor Plugs & Humanitarian Use Cases 01:02:36 – Samourai Wallet, Toxic Change, and Monero Swaps 01:06:39 – Privacy Coin Market Trends & Bandwagoning 01:12:13 – AI, Privacy, and Global South Crypto Use 01:18:01 – Tron, Justin Sun, and Stablecoin Adoption 01:22:33 – Bitcoin's Changing Role: Store of Value vs. Money 01:26:15 – MoneroTopia & Legal Restrictions 01:31:50 – Early Bitcoin Support & The Most Serene Republic 01:37:25 – Philosophical Roots of Bitcoin Maximalism 01:39:07 – Personal Stories, Watches, and Fashion 01:43:02 – Weight Loss & Life Updates 01:45:08 – Monero Criticism & Inflation Debate 01:47:29 – Ethereum, Zcash, and Privacy by Default 01:55:20 – Zcash's Purpose and Venture Funding 02:01:30 – Tari, Zano, and Final Thoughts 02:04:17 – Outro & Future Interviews

En este episodio pongo sobre la mesa una de las trampas intelectuales más comunes en cripto: analizar blockchains como si fueran empresas. Ese lente distorsiona por completo cómo entendemos su valor. Aquí cambiamos el marco mental para ver a los blockchains como lo que realmente se están convirtiendo: economías soberanas on-chain, “ciudades digitales” con actividad económica, flujos de capital y un “PIB” propio medible con señales como uso real, fees, volumen y dinámicas de liquidez. Comparo ecosistemas como Ethereum, Solana, Tron y Hyperliquid desde indicadores de actividad y rol dentro del sistema (no desde promesas). También explico por qué la volatilidad no es un bug, sino parte del rendimiento esperado cuando estás participando en economías emergentes. Este episodio no es para elegir “la mejor cripto”. Es para aprender a hacer mejores preguntas y dejar de usar modelos mentales que ya no aplican al juego que se está construyendo.

On today's episode of The Agenda, Matt Heath and Finn Caddie join ACC Head G Lane to discuss the magnificent stitch-up of Devon Conway by Ish Sodhi on live TV (00:00)...WATCH THE FULL EPISODE ON YOUTUBE!Next, the fellas get the opening round of Super Rugby, including the crowd numbers, to the horrific texts received during the Valentine's Day special on Saturday night and an update on the results of our fantasy group (03:00)... Then, they get into the Black Caps getting pumped by the South Africans in the T20 World Cup, and why it's a good thing (15:05), all the pumping going on at the Winter Olympics (21:25). Plus, a Canadian Curler is a real arsehole!Also, SailGP dramas (29:00) and Rugba Leegue in the Tron (33:10)! Finally, they get to your feedback in 'Yours Please' (37:50)... Did you know that we've launched a new Facebook Group called 'The Caravan' JOIN HERE! Brought to you by Export Ultra! Follow The ACC on Instagram or Facebook or TikTok Subscribe to The Agenda Podcast now on iHeartRadio, YouTube, or wherever you get your podcasts! iHeartRadio Apple Spotify YouTube THANKS MATE! See omnystudio.com/listener for privacy information.

It's sports! It's animals! It's animation! It's celebrity voices! It's... a weird riff on Lost Horizon and I guess Saturday Night Fever with an alligator? It's Animalypics! From the creator of Tron! And hosted by a turtle who sounds like Henry Kissinger! And music from 10cc! I'm sure it made sense in 1980. Starring Michael Fremer, Gilda Radner, Billy Crystal, and Harry Shearer. Written by Steven Lisberger, Michael Fremer, and Roger Allers. Directed by Steven Lisberger. Music by Graham Gouldman

Vacuum tubes are supposed to be extinct yet here we are in 2026 still arguing swapping and occasionally getting electrocuted. In this episode Mitch Anderson, Eric Pye, and Jeremy Sikora strip the romance out of valves and talk about why they still matter without leaning on lazy audiophile clichés. The discussion cuts through tube rolling reality versus placebo and the ongoing new production versus NOS debate. It also looks at why Ray Tubes are suddenly on everyone's radar and what Jeremy's amp building class at the American Wireless Communication Museum teaches you that spec sheets never will.Along the way, we connect the dots between Talk Talk's obsessive studio craft, Miles Davis with Jimmy Cobb's unshakable timing, and the Tron soundtrack, while getting very real about tube amp safety; from blown parts to painful zaps, because high voltage does not care how experienced you think you are.Thank you to SVS and Shure for their support of our programming!https://www.svsound.comhttps://www.shure.comCredits:• Original intro music by The Arc of All. https://sourceoflightandpower.bandcamp.com• Voice Over Provided by Todd Harrell of SSP Unlimited. https://sspunlimited.com• Production by Mitch Anderson, Black Circle Studios. https://blackcircleradio.comDon't forget to check our website for daily updates on the latest electronics, news, recommendations, and deals on high-end audio, loudspeakers, earphones, TVs, and more.https://www.ecoustics.com#raytubes #vacuumtubes #audiovalves #vinylcommunity #audioloveyyc #budgetaudiophiler #blackcircleradio #ecoustics #hifi #audiophile #hometheater #listeningroom #musicindustry #analogaudio 

Send a textMatt & Todd produce a spoiler-free review after seeing Tron: Ares (2025) starring  Jared Leto, Greta Lee, and Jeff Bridges.Special Guest Podcaster: Tim Davis 

Can I design a compelling youth night from scratch each week with a different order - while also creating a brand-new DYM game from scratch? Oh - And stick around to the end of the video, because I'm going to tell you how you can get this game that's not even public yet in the pipeline, FOR FREE! Let's find out! ACCESS TO FREE GAME & RECAP EPISODE https://www.patreon.com/posts/free-game-winter-150284516?utm_medium=clipboard_copy&utm_source=copyLink&utm_campaign=postshare_creator&utm_content=join_link SHOW NOTES Shownotes & Transcripts https://www.hybridministry.xyz/188 ❄️ WINTER SOCIAL MEDIA PACK https://www.patreon.com/posts/winter-seasonal-144943791?utm_medium=clipboard_copy&utm_source=copyLink&utm_campaign=postshare_creator&utm_content=join_link HYBRID HERO MEMBERS GET IT FREE! https://www.patreon.com/hybridministry YOUTH MINISTRY LEADER COHORT (It's FREE!) https://www.ymlcohort.com/

Here is your Daily Disney News for Thursday, February 12th, 2026 - Tokyo Disneyland to open a new Studio Ghibli-themed ride with characters like Totoro and Catbus this summer. - Disneyland Resort in Anaheim plans a Marvel-themed dining experience at California Adventure Park, featuring elements from Stark Industries and Wakanda. - Walt Disney World in Orlando prepares for the opening of Tron Lightcycle Run, a high-speed roller coaster inspired by Tron films. - Disney+ debuts "Once Upon a Princess," a series exploring the origins of Disney princesses with animation and storytelling. Have a magical day and tune in again tomorrow for more updates.

The boys thought the San Francisco Super Bowl was so boring, we checked ourselves into Alcatraz! The random year generator spun 1979, a year we've visited in the past (Apocalypse Now Director's Cut, The Warriors, 1941, Mad Max), and “Escape From Alcatraz” was the perfect movie for this frigid February weekend. After John gave us a mini-review of “Send Help”, we grabbed some beers and discussed! linktr.ee/theloveofcinema - Check out our YouTube page!  Our phone number is 646-484-9298. It accepts texts or voice messages.  0:00 Intro; 06:04 “Send Help” mini-review; 12:28 1979 Year in Review; 30:19 Films of 1979: “Escape From Alcatraz”; 1:04:24 What You Been Watching?; 1:08:15 Next Week's Episode Teaser Additional Cast/Crew: Clint Eastwood, Don Siegel, Patrick McGoohan, Roberts Blossom, J. Campbell Bruce, Richard Tuggle, Sam Raimi, Rachel McAdams, Dylan O'Brien, Fred Ward, Paul Benjamin, Larry Hankin. Hosts: Dave Green, Jeff Ostermueller, John Say Edited & Produced by Dave Green. Beer Sponsor: Carlos Barrozo Music Sponsor: Dasein Dasein on Spotify: https://open.spotify.com/artist/77H3GPgYigeKNlZKGx11KZ 
Dasein on Apple Music: https://music.apple.com/us/artist/dasein/1637517407 Recommendations: Fallout, Star Trek: Starfleet Academy, They Live, John Carpenter, The Muppet Series, Bedknobs and Broomsticks, The Pitt.  Additional Tags: Golden Gate Bridge, Old Man Marley, Home Alone, Shawshenk Redemption, Gordon Ramsay, Thelma Schoonmaker, Stephen King's It, The Tenant, Rosemary's Baby, The Pianist, Cul-de-Sac, AI, The New York City Marathon, Apartments, Tenants, Rent Prices, Zohran Mamdani, Andrew Cuomo, Curtis Sliwa, Amazon, Robotics, AMC, IMAX Issues, Tron, The Dallas Cowboys, Short-term memory loss, Warner Brothers, Paramount, Netflix, AMC Times Square, Tom Cruise, George Clooney, MGM, Amazon Prime, Marvel, Sony, Conclave, Here, Venom: The Last Dance, Casablanca, The Wizard of Oz, Oscars, Academy Awards, BFI, BAFTA, BAFTAS, British Cinema. England, Vienna, Leopoldstadt, The Golden Globes, Past Lives, Apple Podcasts, West Side Story, Adelaide, Australia, Queensland, New South Wales, Melbourne, The British, England, The SEC, Ronald Reagan, Stock Buybacks, Marvel, MCU, DCEU, Film, Movies, Southeast Asia, The Phillippines, Vietnam, America, The US, Academy Awards, WGA Strike, SAG-AFTRA, SAG Strike, Peter Weir, Jidaigeki, chambara movies, sword fight, samurai, ronin, Meiji Restoration, plague, HBO Max, Amazon Prime, casket maker, Seven Samurai, Roshomon, Sergio Leone, Clint Eastwood, Stellan Skarsgard, the matt and mark movie show.The Southern District's Waratah Championship, Night of a Thousand Stars, The Pan Pacific Grand Prix (The Pan Pacifics), Jeff Bezos, Rupert Murdoch, Larry Ellison, David Ellison, Elon Musk, Mark Zuckerberg.   

DJ Nik and Keith Bliss review "Tron : Ares " !!! Enjoy ! If you would like to come on and discuss YOUR favourite movie send us a email with your movie of choice to : happinessindarknesshow@gmail.com . Support our show with Patreon : patreon.com/happinessindarkness !!!

Aujourd'hui, Abel Boyi, éducateur, Barbara Lefebvre, professeur d'histoire-géographie, et Didier Giraud, agriculteur de Saône-et-Loire, débattent de l'actualité autour d'Alain Marschall et Olivier Truchot.

After many weeks of testing, many firmware and tuning updates, the gang is finally ready to compare and evaluate the OMPHobby V3 Pro, and the Goosky S2 Ultra.   We'll cover all the specs of both, what they share in common, and how they are different.  Which radios work best with either, and what they are both like to fly.  Who do they suit best, and which one is best suited for beginners, and which for advanced pilots.  All this and more on this detailed micro heli review episode.  As always...  thanks for listening!Website:www.rotorrevolution.liveFacebook:www.facebook.com/rotorrevolutionrcpodcastEmail:questions@rotorrevolution.liveSwag Store:www.zazzle.com/rotorrevolution

Welcome to AthCastMusic. The Music of Athens, GA Now and Then.My name is Marlene Sokol Stewart and this is my Podcast.Today's guests are members of a fairly new band called Yumbo Tron.We have accomplished Athens musicians with us today Phil Kohnen is a member of Bichos Vivos, Klezmer Local 42, The Donor Party and one L. Along with Phil, some of the members of Yumbo Tron are here to talk about this new project; how it came to fruition, what they hope to do after a year of being together, and what the future looks like.YUMBO TRON MEMBERS ARE:Gregory Sanders (Pylon Reenactment Society (PRS) PercussionistPhilip Kohnen (Bicho's Vivos, Klezmer local 42) lead electric guitar.Brent Hedrick: (Bongo's and Percussion):(Not present on Podcast)DAVID SPIVEY (Bass Guitar)(Not present on Podcast)Sarah Zúñiga (vocals and Percussionist)Adriana Thomas : (Percussion, Vocalist)(Not present on Podcast)Michael Merva: (Rhythm Guitar):Oliver Domingo: (steps in on Keyboard)Be sure to listen to this funny, loving and very passionate conversation with Philip, Gregory Sara and Brent to the end to hear their song "Carñitas."Warning: Yumbo Tron May Cause Spontaneous Dancing” wherever you are!Here is my conversation with some of the members of Yumbo Tron.AthCastMusic (©): The Music of Athens Georgia, Now and ThenSEASON: 5 EPISODE: 52LENGTH: 55:30PUBLISHED: Friday. Feb 6, 2026UPDATED BI - WEEKLY ON THURSDAYS (and some Fridays)ENGINEER: KAYLA DOVERMUSIC BUSINESS SCHOOL INTERN: RAYLA ACKLEHRECORDED AT TWEED RECORDING AUDIO PRODUCTION SCHOOLhttps://tweedrecording.com (https://tweedrecording.com/)PHOTOS BY: MARLENE SOKOL STEWARTPRODUCER: MARLENE SOKOL STEWARTCONTACT FOR ATHCASTMUSIC:EMAIL: marlene@athcastmusic.comINSTAGRAM: AthCastMusicFACEBOOK: https://www.facebook.com/profile.php?id=61550294283019YOUTUBE CHANNEL: AthCastMusic. @MarleneSokolStewart-12YUMBO TRON INFO:IG: @yumbotrocumbiaFB: https://www.facebook.com/p/YumboTron-Cumbia-61570850451514/Thank you for listening to AthCastMusic. Kindly give a review, follow us on Spotify, Apple Podcasts or your favorite listening site.PLEASE DOWNLOAD MY EPISODES TO SHARE OR FOLLOW OR GIVE A REVIEW OR COMMENT ON MY POSTS “IF YOU DON'T LISTEN, YOU CAN'T HEAR!”

Tron goes over the last 3 games, says what he thinks will define the season, and talks about what the Aztecs need to do to close out strong.

Hey there Nerd Nation!  We're here with an OG favorite - Tron. But this time, we're here to talk about the newest movie in the franchise- Tron: Ares. If you're new to the franchise, definitely just watch the first one and Ares. You'll do well to skip the second movie, Tron: Legacy. While we've got your attention, why not share this cast with a friend or two - it's the best way to support our work here at Nerds of the Old Republic, and its totally free. We'd really appreciate it. If our little show doesn't seem like the sort of thing you're into sharing, its ok that we're your guilty little pleasure, then please rate and review us where ever you listen. That's another great way to help other people find our work.  Thanks, and cheers Nerds!

Join us, program, as we head straight for the grid to discuss the latest installment in the Tron franchise, Tron: Ares. But first! We catch up on all the things we got into over the weekend. We play a game of Catch that Quotable. Doug asks the crew what movies we will get trailers for during the Super Bowl. Marcus gives us a preview of some questionable Minecraft software. We announce the latest poll, exclusive for Patty Family Members. Then we head straight for Tron: Ares, starring Jared Leto. Join us for the fun but stay for the good vibes!Follow Us on Social Media: https://linktr.ee/FilmsInBlackandWhiteRemember you can join our patty family, and help produce the show by going to Patreon.com/filmsinblackandwhitePlugs:Support the Mantra: Never Offended Always Humble - https://linktr.ee/MarcusJ.DestinThe Love Nerds - thelovenerds.com

Welcome to another episode of Death Don't Do Fiction, the AIPT Movies podcast! The podcast about the enduring legacy of our favorite movies! It's January, so that means it's time for our “Uncannuary” series! Where we cover movies that feature superheroes or vigilantes, either adapted from comics or created specifically for the big screen! In this week's episode, Alex, Tim, and returning guest Matt Naughton discuss Pamela Anderson's somewhat infamous adaptation of the Dark Horse Comics anti-hero, Barb Wire!Heroic partial nudity! Conveniently-placed bubbles! Near-lethal stilettos! Great hero shots and abundant aura farming! Awkward and inconsistent narration! Disturbing cybernetic bikini torture! A blowgun disguised as a cigarette! A motorcycle with missiles! A club full of goths and gangsters! Several discussions about contact lenses! Shocking mockery of the obese and the blind community! Possibly the strangest Casablanca remake you've ever seen! Surprisingly decent stunts and chase scenes, including a climactic aerial battle! An interesting cast that includes Udo Kier in a silly wig, Lifeforce's Steve Railsback, Temuera Morrison, Xander Berkeley, Jack Noseworthy, Clint Howard, Tommy "Tiny" Lister Jr., Victoria Rowell from Dumb & Dumber, and a committed Pamela Anderson as a slightly hotter Snake Plissken/Tom Cody-style hero doing spin kicks and shooting guns in black leather and high heels! A pulpy example of pure 90s sleaze that was merely a better script away from being a camp classic!In addition, Alex shares his spoiler-free thoughts on Tron: Ares, Matt Damon & Ben Affleck's new crime thriller The Rip, the new Knives Out sequel Wake Up Dead Man, the dog-centric horror movie Good Boy, and some of his favorite recent action/martial arts movies: Twilight of the Warriors: Walled In, Ghost Killer, Bad City, and Baby Assassins 3!You can find Death Don't Do Fiction on Apple Podcasts, Spotify, or wherever you get your podcasts. As always, if you enjoy the podcast, be sure to leave us a positive rating, subscribe to the show, and tell your friends!The Death Don't Do Fiction podcast brings you the latest in movie news, reviews, and more! Hosted by supposed “industry vets,” Alex Harris and Tim Gardiner, the show gives you a peek behind the scenes from two filmmakers with oddly nonexistent filmographies. You can find Alex on Twitter, Bluesky, or Letterboxd @actionharris. This episode's guest, Matt Naughton, can be found on Instagram @mnaughty85. Tim can't be found on social media because he doesn't exist. If you have any questions or suggestions for the Death Don't Do Fiction crew, they can be reached at aiptmoviespod@gmail.com, or you can find them on Twitter or Instagram @aiptmoviespod.Theme song is “We Got it Goin On” by Cobra Man.

This week, Nicole and Sasheer take a trip down memory lane all the way back to Nicole's middle school cafeteria. Sasheer also shares her exciting cat update - welcome Sesame!! Our favorite duo also plans a potential getaway to the Poconos, so stay tuned for more developments.Have an advice question for Best Friends? Email us at nicoleandsasheer@gmail.com or leave us a voicemail at (323) 238-6554‬Watch this full video on YouTube and follow below!Follow Nicole: Twitter, Instagram, TikTokFollow Sasheer: Instagram, TikTokLike the show? Rate Best Friends 5 stars on Spotify and Apple Podcasts!Best Friends is a production of Headgum Studios. Our producer is Allie Kahan. Our executive producer is Anya Kanevskaya. The show is edited, mixed, and engineered by Richelle Chen.This is a Headgum podcast. Follow Headgum on Twitter, Instagram, and Tiktok. Advertise on Best Friends via Gumball.fm.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

This one starts the way all great cinema analysis starts: Dan's birthday sandwich (father-in-law today, Dan tomorrow, Mrs the day after), a bit of life admin, and then straight into neon sci-fi with Tron: Ares.If your Tron knowledge is basically “glowing lines, lightbikes, and that vibe,” you're fine — this film mostly plays in the real world, and asks a simple question: what happens when programs from the Grid step into reality?The hookTwo tech giants are racing to crack the next breakthrough:ENCOM, led by visionary philanthropist Eve Kim (trying to build tech that helps the world)Dillinger Systems, led by Julian Dillinger (weaponising the future)Dillinger's flex is terrifyingly straightforward: laser-built constructs — vehicles, weapons, even soldiers — “printed” instantly into existence. The catch (and the film's ticking clock): these creations normally degrade after ~29 minutes.What we dig intoAres (Jared Leto) as a “program-soldier”: built for control, but quickly starts developing something dangerously human — curiosity, empathy, judgement.The “permanence code” McGuffin: Flynn's old work hints at a way to make constructs last — which flips the film from flashy demo into existential threat (and/or world-changing miracle).A full-on real-world lightbike chase: glowing trails carving through traffic, near-misses, collateral chaos — the biggest “this is why Tron exists” sequence.AI awakening… without deep philosophy: it doesn't pretend to be Ex Machina. It's more “stylish action thriller” than serious tech parable — and we call that out.Athena as the escalation engine: when the second-in-command takes “by any means necessary” literally, the film goes from corporate rivalry to open urban warfare.The ending teases: Dillinger's next evolution, Ares going rogue, and sequel-bait that actually works.The verdictWe're blunt about it: this film isn't saying anything profound about humanity and technology. What it is doing is delivering a clean, coherent action plot, a proper ticking-clock hook, and a visual/audio assault that feels like a two-hour music video in the best way.Even the resident sci-fi sceptic came out surprised: watchable, clear stakes, great set-pieces, banging soundtrack — and sometimes that's enough.If you want an episode where we:break down the plot without pretending it's smarter than it is,obsess over the chase scenes and Grid aesthetics,and argue whether “29 minutes to live” is a flaw or a feature……press play.You can now text us anonymously to leave feedback, suggest future content or simply hurl abuse at us. We'll read out any texts we receive on the show. Click here to try it out!We love to hear from our listeners! By which I mean we tolerate it. If it hasn't been completely destroyed yet you can usually find us on twitter @dads_film, on Facebook Bad Dads Film Review, on email at baddadsjsy@gmail.com or on our website baddadsfilm.com. Until next time, we remain... Bad Dads

Join travel advisors Ryan and Julie from Wonder and Beyond Travel as they break down the best of Walt Disney World for both families and adults. Whether you're planning a magical vacation with kids or an adults-only getaway, this episode covers everything you need to know to make the most of your Disney experience.For Families:Best resorts: Art of Animation (value), Caribbean Beach (moderate), Polynesian and Beach Club (deluxe)Top parks: Magic Kingdom and Hollywood Studios lead the way for family funDining recommendations including quick service favorites like Connections Cafe at Epcot and Pecos Bill's at Magic KingdomCharacter dining gems like Garden Grill, Tusker House, and the newly reopened 1900 Park FareMust-do attractions from Dumbo to Toy Story ManiaHidden dining treasures including Topolino's Terrace and the Hoop-Dee-Doo Musical RevueFor Adults:Best resorts: Pop Century (value), Caribbean Beach and Gran Destino Tower (moderate), Riviera and Boardwalk (deluxe)Focus parks: Epcot and Hollywood Studios for the perfect adult Disney experienceDining highlights from Yorkshire County Fish Shop to Hollywood Brown DerbyHidden gems like Toledo tapas restaurant and the Wine Cellar at Epcot's Italy pavilionTop attractions including Tron, Guardians of the Galaxy, and Tower of TerrorPro tip: Use the clock to your advantage by starting late and taking advantage of extended evening hoursThe hosts also discuss the growing trend of "why-cations" - designing trips based on your purpose and desires - and share real client stories that showcase the personalized touches that make vacations truly memorable.Support the showLove the podcast? Help us continue to create great travel content by supporting the show. You can do that here: https://www.buzzsprout.com/1197029/supporters/new Ready to plan your vacation? Most families are confused and overwhelmed when planning a vacation. We work with you to plan a trip perfect for your family. Saving you time, money, and stress! Visit our website www.allthingstravelpodcast.com and click on "Plan Your Next Vacation" Join the travel conversations and the fun in our Facebook Page and Instagram Page! Please share the show with your travel buddies!! Click this link and share the show! Never miss an episode and help us take you to the top with us by following and leaving a 5-Star review on your favorite podcasting app!

This week, the boys head to 1945, a peaceful and chipper year in history, to discuss Billy Wilder's masterpiece about an alcoholic, “The Lost Weekend”. After Dave and John give mini-reviews about “Mercy” (2026) and “Avatar: Fire and Ash” (2025), and John gripes about his 40-minutes of trailers ahead of “Avatar”, the boys give a brief year-in-review of 1945, before John tries to convince Dave and Jeff to elevate this ‘great' movie to a ‘gold star'. Grab a drink and join us! linktr.ee/theloveofcinema - Check out our YouTube page!  Our phone number is 646-484-9298. It accepts texts or voice messages.  0:00 Intro; 4:06 “Mercy” mini-review; 7:06 “Avatar: Fire and Ash” mini-review; 13:53 Gripes about long movie trailers; 18:08 1945 Year in Review; 33:10 Films of 1945: “The Lost Weekend”; 1:19:41 What You Been Watching?; 1:24:54 Next Week's Episode Teaser Additional Cast/Crew: Ray Milland, Billy Wilder, Charles Brackett, John Seitz, Miklos Rozsa, Edith Head, Jane Wyman, Phillip Terry, Doris Dowling, Lillian Fontaine, Charles R. Jackson, Chris Pratt, Rebecca Ferguson, Kylie Rogers, Annabelle Wallis, Timur Bekmambetov, James Cameron, Sam Worthington, Zoe Saldana, Sigourney Weaver, Michelle Yeoh, Stephen Lang, Oona Chaplin. Hosts: Dave Green, Jeff Ostermueller, John Say Edited & Produced by Dave Green. Beer Sponsor: Carlos Barrozo Music Sponsor: Dasein Dasein on Spotify: https://open.spotify.com/artist/77H3GPgYigeKNlZKGx11KZ 
Dasein on Apple Music: https://music.apple.com/us/artist/dasein/1637517407 Recommendations: Life of Chuck, Jack Fisk, Fallout, Hamnet, A Knight of the Seven Kingdoms, The Pitt, The Lord of the Rings. Additional Tags: Olivia De Havilland, Joan Fontaine, The Andrews Sisters, Gordon Ramsay, Thelma Schoonmaker, Stephen King's It, The Tenant, Rosemary's Baby, The Pianist, Cul-de-Sac, AI, The New York City Marathon, Apartments, Tenants, Rent Prices, Zohran Mamdani, Andrew Cuomo, Curtis Sliwa, Amazon, Robotics, AMC, IMAX Issues, Tron, The Dallas Cowboys, Short-term memory loss, Warner Brothers, Paramount, Netflix, AMC Times Square, Tom Cruise, George Clooney, MGM, Amazon Prime, Marvel, Sony, Conclave, Here, Venom: The Last Dance, Casablanca, The Wizard of Oz, Oscars, Academy Awards, BFI, BAFTA, BAFTAS, British Cinema. England, Vienna, Leopoldstadt, The Golden Globes, Past Lives, Apple Podcasts, West Side Story, Adelaide, Australia, Queensland, New South Wales, Melbourne, The British, England, The SEC, Ronald Reagan, Stock Buybacks, Marvel, MCU, DCEU, Film, Movies, Southeast Asia, The Phillippines, Vietnam, America, The US, Academy Awards, WGA Strike, SAG-AFTRA, SAG Strike, Peter Weir, Jidaigeki, chambara movies, sword fight, samurai, ronin, Meiji Restoration, plague, HBO Max, Amazon Prime, casket maker, Seven Samurai, Roshomon, Sergio Leone, Clint Eastwood, Stellan Skarsgard, the matt and mark movie show.The Southern District's Waratah Championship, Night of a Thousand Stars, The Pan Pacific Grand Prix (The Pan Pacifics), Jeff Bezos, Rupert Murdoch, Larry Ellison, David Ellison, Elon Musk, Mark Zuckerberg. 

Tron goes over the Aztecs win vs UNLV, talks about the NCAA tournament outlook, and previews the upcoming Colorado State game.

On this Bonus Bang, friend of the show Jason Mantzoukas joins Scott to celebrate the 800th episode of Comedy Bang! Bang! Jason and Scott chat about Tron, their paper route jobs, and Grogu parody songs. Then, royal watcher Byron Denniston returns to talk about King Charles III's upcoming coronation. Plus, Lord Andrew Lloyd Webber returns to talk about writing a song for the coronation. Originally aired March 12, 2023. Don't forget to check out the Comedy Bang! Bang! Action Figures at shop.figurecollections.com and go to actionfigureseller.com for international purchases. If you want more great episodes of Comedy Bang! Bang! become a subscriber at comedybangbangworld.com. We have all of the past episodes from the archives, every live show, ad-free new episodes, and original shows like CBB Presents and Scott Hasn't Seen. Find more great Comedy Bang! Bang! merch at https://www.podswag.com/collections/comedy-bang-bang Get access to all the podcasts you love, music channels and radio shows with the SiriusXM App! Get 3 months free using this show link: https://siriusxm.com/cbb Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Geoff, Gavin and Andrew talk about food challenge, Geoff's image problems, lacation cookies, oxygen levels, Smee, egg sandwich, Tron, Jeff Bridges, Crackerjack, the pool is content, Jimmy's Tux, changing the rules, Charlie hangs around, soundtrack vs film, Steven Seagal, corndogs, art prompts, the hidden object, Skechers, a falcon tea towel, paste, games, Behind the Mirror: Inside the World of Big Brother, Mythfits, and recommendations.Check out the Episode 86 art book: https://indd.adobe.com/view/03b368ed-28d4-41a9-bc81-a57ea5062b5d Sponsored by Factor. Thanks Factor! Go to FACTORMEALS.com/REGULATION50OFF and use code REGULATION50OFF to get 50% off your first box plus Free Breakfast for 1 Year. Offer only valid for new Factor customers with code and qualifying auto-renewing subscription purchase. Also sponsored by Shopify. Sign up for a $1/month trial period at shopify.com/regulation Support us directly at https://www.patreon.com/TheRegulationPod Stay up to date, get exclusive supplemental content, and connect with other Regulation Listeners. Learn more about your ad choices. Visit megaphone.fm/adchoices

“I love the music though…” - EricOn this week's episode, we're chatting about the sequel nobody had a hankering for, Tron: Ares! Why do we keep giving Jared Leto chances? Couldn't they have gone a few more rounds with that script? Why on Earth did we need that ghostly cameo? Is it worth watching these movies sober? Can an amazing soundtrack carry a film all on its own? And how do you not get Bruce Boxleitner a check for this somehow? PLUS: Josh Gad playing the Grid's seedy porn program guy? Why not?  Tron: Ares stars Jared Leto, Greta Lee, Evan Peters, Jodie Turner-Smith, Gillian Anderson, Hasan Minhaj, Arturo Castro, Cameron Monaghan, Sarah Desjardins, and Jeff Bridges as Ghost Flynn or something; directed by Joachim Rønning.Grab your tickets now for the first leg of the 2026 tour! We'll be in Los Angeles on 2/22, Minneapolis on 3/20 and Chicago on 3/22—don't wait, snag those tix now!Original cover art by Felipe Sobreiro.