Podcasts about Leopold

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

In 1924, two wealthy, brilliant University of Chicago students set out to commit what they believed would be the perfect crime.Nathan Leopold and Richard Loeb believed themselves intellectually superior and beyond ordinary moral restraint. Inspired (and deeply misreading) the philosophy of Friedrich Nietzsche, they convinced themselves that rules applied to other people.It became the first true Trial of the Century. A national referendum on free will, punishment, privilege, youth, psychology, and whether the state should answer killing with killing.Were Leopold and Loeb supermen?Or were they privileged, deluded young men who mistook intelligence for immunity?

Nanouk Leopold is regisseur en kunstenaar. Ze maakt sinds 2008 onder de naam LeopoldEmmen video-installaties met beeldend kunstenaar Daan Emmen. Tot nu toe heeft ze zes films geregisseerd die stuk voor stuk prijzen wonnen of op internationale filmfestivals zijn vertoond. Haar tweede film, Guernsey, die in 2005 twee gouden kalveren won, werd vertoond op het filmfestival van Cannes. Haar laatste film ‘Cobain' had in 2018 zijn wereldpremière op het Berlijnse Filmfestival Berlinale. Sinds 2017 regisseert ze ook voor toneel en opera. Haar nieuwe film ‘Whitetail' gaat over Jen, een boswachter in Zuid-Ierland. Wanneer haar jeugdliefde terugkeert in haar leven, herbeleeft ze een traumatische gebeurtenis van vroeger. Femke van der Laan gaat met Nanouk Leopold in gesprek.

In 1924, two wealthy, brilliant University of Chicago students set out to commit what they believed would be the perfect crime.Nathan Leopold and Richard Loeb believed themselves intellectually superior and beyond ordinary moral restraint. Inspired (and deeply misreading) the philosophy of Friedrich Nietzsche, they convinced themselves that rules applied to other people.It became the first true Trial of the Century. A national referendum on free will, punishment, privilege, youth, psychology, and whether the state should answer killing with killing.Were Leopold and Loeb supermen?Or were they privileged, deluded young men who mistook intelligence for immunity?  Join us as we dismantle the myth.Because intelligence without empathy is not superiority. It's danger.

Hannover 96 gewinnt glücklich mit 1:0 in Bielefeld.Alina, Dennis, Ferdi und Olaf sind deutlich kritischer: kein Zugriff, zu große Abstände, kaum gewonnene zweite Bälle, offensiv harmlos. Das Fehlen von Tomiak und Ghita war klar zu spüren.Ein verwandelter Handelfmeter durch Leopold stellt das Spiel auf den Kopf.Am Ende steht das sechste Spiel ohne Niederlage – und drei Punkte gegen einen unangenehmen Gegner, an dem sich auch andere Aufstiegsaspiranten noch die Zähne ausbeißen werden.Impressum: https://www.vnwpod.de/impressum/

Die Show vom 23.2. nun auch als Podcast verfügbar! Gäste: Simon Terodde, Achim Beierlorzer, Patrick Berger, Sebastian Lange und Enzo Leopold

durée : 00:17:30 - Disques de légende du lundi 23 février 2026 - Jamais jouée du vivant du compositeur, la 4e symphonie de Charles Ives a été créée près de 40 ans après sa composition par Leopold Stokowski, qui fit appel à deux chefs pour l'assister dans l'exécution de cette œuvre complexe aux mesures multiples et asynchrones. Vous aimez ce podcast ? Pour écouter tous les autres épisodes sans limite, rendez-vous sur Radio France.

Alicia hat nach der Trennung von ihrem Ex-Freund erst mal weiter mit ihm zusammengewohnt. Für ein gutes Miteinander sind Grenzen wichtig – emotionale und strukturelle. Daraus kann auch etwas Neues entstehen. **********Ihr hört: Gesprächspartnerin: Alicia, hat nach der Trennung über drei Monate mit ihrem Ex-Partner zusammen gewohnt Gesprächspartner: Markus Kaindl, Soziologe, Universität Wien Gesprächspartnerin: Lena Kager, Beziehungscoach und Paarberaterin Autor und Host: Przemek Żuk Redaktion: Bettina Brecke, Yevgeniya Shcherbakova, Ivy Nortey, Friederike Seeger, Anne Bohlmann Produktion: Philipp Adelmann**********Quellen:Kaindl, M. & Neuwirth, N. (2024). Living Apart Together. Eine Vorstufe zum Zusammenwohnen im gemeinsamen Haushalt oder eine langfristige Form der Partnerschaft?. Österreichisches Institut für Familienforschung Working Paper 99.Yucel, D., & Latshaw, B. A. (2022). Mental Health Across the Life Course for Men and Women in Married, Cohabiting, and Living Apart Together Relationships. Journal of Family Issues, 44(8), 2025-2053.van Scheppingen, M. A., Olaru, G., & Leopold, T. (2025). Personality trait similarity in recently cohabiting couples: Partner choice, convergence, or selective breakup? Journal of Personality and Social Psychology, 128(4), 887–904.Rault, W, & Régnier-Loilier, A. (2020). Continued Cohabitation After the Decision to Separate: “Living Together Apart” in France. Journal of Marriage and Family, 82(3), 1073-1088.**********Mehr zum Thema bei Deutschlandfunk Nova:Haushalt, Geld, Nähe: Wie klappt unser Zusammenziehen als Paar?Beziehung: Zusammen wohnen, getrennte SchlafzimmerCommitment: Wenn wir für die Liebe umziehen**********Den Artikel zum Stück findet ihr hier.**********Ihr könnt uns auch auf diesen Kanälen folgen: TikTok und Instagram .**********Meldet euch!Ihr könnt das Team von Facts & Feelings über Whatsapp erreichen.Uns interessiert: Was beschäftigt euch? Habt ihr ein Thema, über das wir unbedingt in der Sendung und im Podcast sprechen sollen?Schickt uns eine Sprachnachricht oder schreibt uns per 0160-91360852 oder an factsundfeelings@deutschlandradio.de.Wichtig: Wenn ihr diese Nummer speichert und uns eine Nachricht schickt, akzeptiert ihr unsere Regeln zum Datenschutz und bei Whatsapp die Datenschutzrichtlinien von Whatsapp.

durée : 00:17:30 - Disques de légende du lundi 23 février 2026 - Jamais jouée du vivant du compositeur, la 4e symphonie de Charles Ives a été créée près de 40 ans après sa composition par Leopold Stokowski, qui fit appel à deux chefs pour l'assister dans l'exécution de cette œuvre complexe aux mesures multiples et asynchrones. Vous aimez ce podcast ? Pour écouter tous les autres épisodes sans limite, rendez-vous sur Radio France.

Two privileged young men, driven by arrogance and a twisted sense of superiority, plotted the 'perfect crime.' But the brutal murder of Bobby Franks left behind a trail of evidence and ghost that refuses to rest.*No AI Voices Are Used In The Narration Of This Podcast*IN THIS EPISODE: Leopold and Loeb believed themselves to be more intelligent than everyone and planned to commit the perfect murder. But it would be their pride that brought them down in the end, and it would result in a ghost story! (Chicago's Thrill Killers) *** A woman visiting her mother in the hospital takes an unexpected trip when stepping into the elevator. (Elevator Opens Into The Twilight Zone) *** Even 24 doors couldn't give Charles Lapham a way out of his seemingly-cursed life. (No Exit – The Lapham Patterson House) *** A nightmare is frightening, we can all agree on that. But what if you have a nightmare within a nightmare? One woman tells her terrifying story. (My Real Life Nightmare) *** Robert Berdella. Behind his friendly demeanor lurked a deadly obsession with torture and murder. (The Butcher of Kansas City) *** It was a tale that most considered simply gossip, or the town's urban legend. The rich and powerful made sure it stayed a secret; but all secrets eventually come to light – especially those covered in racism, tragedy, and hundreds of deaths. It's the truth behind the Hawk's Nest Tunnel tragedy. (Town Of The Living Dead) *** A teenager shares his story of being abducted by aliens. You may dismiss it as a nightmare or sleep paralysis, but then how do you explain the injection marks on his body? (Tall Black Shiny Aliens) *** A Weirdo family member tells us why we should be cautious when we hear dogs howling. (When The Dogs Howl) *** Most stories about the men in black are of an aggressive nature, with victims being questioned by them, even threatened into remaining silent. But one man had a strange encounter where the MIB saved his life. (Helped By Four Men In Black) *** It's always a bit scary sleeping in a new house that very first night. But sometimes, as one Weird Darkness fan discovered, there is reason to be frightened. (Whispers In The Night) *** They found the first body stuffed inside the church library's closet. Then a second body turned up. I'll share the creepy case of Theo Durrant – San Francisco's “Jack the Ripper”. (Demon of the Belfry) *** Outside of Washington, D.C. lies an abandoned institution with a thoroughly disturbing past. (The Madness of Forest Haven Asylum) CHAPTERS & TIME STAMPS (All Times Approximate)…00:00:00.000 = The Foreboding00:01:03.145 = Show Intro00:04:10.713 = Chicago's Thrill Killers00:25:29.654 = No Exit: The Lapham Patterson House ***00:30:38.722 = Elevator Opens Into The Twilight Zone00:33:12.911 = Robert Berdella: The Butcher of Kansas City00:39:33.388 = My Nightmare (from a Weird Darkness listener) ***00:41:27.413 = Town of the Living Dead00:55:26.596 = Helped By Four Men In Black ***00:57:25.158 = When The Dogs Howl (from a Weird Darkness listener)00:59:31.756 = Demon of the Belfry01:04:53.306 = Tall, Black Shiny Aliens01:07:11.040 = Whispers In The Night01:09:55.718 = Forest Haven Asylum ***= Show Close *** = Begins immediately after inserted ad breakHELPFUL LINKS & RESOURCES…https://WeirdDarkness.com/STORE = Tees, Mugs, Socks, Hoodies, Totes, Hats, Kidswear & Morehttps://WeirdDarkness.com/HOPE = Hope For Depression or Thoughts of Self-Harmhttps://WeirdDarkness.com/NEWSLETTER = In-Depth Articles, Memes, Weird DarkNEWS, Videos & Morehttps://WeirdDarkness.com/AUDIOBOOKS = FREE Audiobooks Narrated By Darren Marlar SOURCES and RESOURCES:EPISODE PAGE (includes sources): https://weirddarkness.com/PerfectCrime“Chicago's Thrill Killers” by Troy Taylor: http://bit.ly/32z2mLe“Elevator Opens Into the Twilight Zone” by Lisa Gibson: http://bit.ly/2VURTHJ“The Butcher of Kansas City” by Orrin Grey: http://bit.ly/30sRCwJ“My Real Life Nightmare” by Alicia Zapata, submitted at http://www.WeirdDarkness.com“No Exit – The Lapham Patterson House” by Jessica Ferri: http://bit.ly/2pCMety“Town of the Living Dead” by Troy Taylor: http://bit.ly/2W12NvE“Demon of the Belfry” by Orrin Grey: http://bit.ly/2JJbsiO“Tall, Black, Shiny Aliens” by RR: http://bit.ly/2VURTHJ“The Madness of Forest Haven Asylum” by Gary Sweeney: http://bit.ly/32xCSOm“When The Dogs Howl” by KJ – submitted directly to http://www.WeirdDarkness.com“Whispers In The Night” by Zenovia Caldwell: http://bit.ly/2VUUQrN“Helped By Four Men In Black”: http://bit.ly/2VURTHJ=====(Over time links may become invalid, disappear, or have different content. I always make sure to give authors credit for the material I use whenever possible. If I somehow overlooked doing so for a story, or if a credit is incorrect, please let me know and I will rectify it in these show notes immediately. Some links included above may benefit me financially through qualifying purchases.)= = = = ="I have come into the world as a light, so that no one who believes in me should stay in darkness." — John 12:46= = = = =WeirdDarkness® is a registered trademark. Copyright ©2026, Weird Darkness.=====Originally aired: December 21, 2022 *** July 18, 2018EPISODE PAGE (includes sources): https://weirddarkness.com/PerfectCrimeABOUT WEIRD DARKNESS: #WeirdDarkness is a true crime and paranormal podcast narrated by professional award-winning voice actor, Darren Marlar. Seven days per week, Weird Darkness focuses on all things strange and macabre such as haunted locations, unsolved mysteries, true ghost stories, supernatural manifestations, urban legends, unsolved or cold cases, conspiracy theories, and more. Weird Darkness has been named one of the “20 Best Storytellers in Podcasting” by Podcast Business Journal. Listeners have described the show as a blend of “Coast to Coast AM”, “The Twilight Zone”, “Unsolved Mysteries”, and “In Search Of”.DISCLAIMER: Stories and content in Weird Darkness can be disturbing for some listeners and intended for mature audiences only. Parental discretion is strongly advised.

On music's biggest night of the year, Santa Cruz County had reason to celebrate as a former county supervisor took home some hardware. Former District 1 County Supervisor John L. Leopold was honored for his work producing “A Tribute to the King of Zydeco,” a compilation celebrating Clifton Chenier, at Sunday night's 68th Grammy's.The album won the award for Best Regional Roots Music Album. Leopold was credited as the album's executive producer.. John was also joined on this show by fashion designer .iB.Bayo, who handmade John's suit that too the red carpet by storm.

Jordan Leopold in studio for the final hour on Olympic and NHL hockey memories!See omnystudio.com/listener for privacy information.

Jordan Leopold in studio for the final hour on Olympic and NHL hockey memories!

If you're looking for a one-person piece that grapples with the legacy of women writers and the artifice of gender… consider this sharp short by Wu Zao. In A Reflection in Disguise, a writer grapples with her inner idealized artistic self and the boxes society has placed her into. She poses before a portrait of herself cross-dressed as a male scholar and sings to the portrait about her frustrations as a woman of talent. Can she ever truly reconcile the two selves and win the acclaim she deserves? Through lush Chinese poetry, this monologue yields searing insight into the artifice of gender and the psyche of women in literature in the 19th Century.If you're looking for a play that leverages the existentialism of Beckett but ratchets up the stakes through erotic powerplay… you'll love Maria Irene Fornés' Tango Palace. Isidore, a genderfluid bon vivant, has trapped their lover, the earnest and noble Leopold, in a room. The space becomes the pair's entire universe and the stage on which they dance, dissect, and detonate their desires. The dangerous co-dependence of their erotic relationship spills over as they tango, driving them towards death in this searing and sensual examination of masculinity and destructive desire. Hosted by Gagarin and Kalina Ko. Support this podcast at — https://redcircle.com/this-is-a-classic-the-expand-the-canon-theatre-podcast/donations

With King Leopold II of Belgium now in full control of the Belgian Congo, the extraction of ivory and other resources could begin. The story of the plunder of the Congo is so brutal and unbelievable, and at times so hard to believe, that it was once said that "to tell the full story it would have to be fiction." In the early period of the Congo Free State, forced labor and resource extraction ultimately led to atrocities and destruction, but the terror was far from over. This episode is Part 3 in a series on the Belgian Congo. It gives an overview of Congo's rich natural resources, and the ivory boom in the late 1800's that contributed to atrocities. It discusses Leopold's style of rule and role in overseeing the carnage, the development of the ivory "trade" in the Congo, the beginnings of mass death, and the origins of early protest movements and dissent against the state, including from missionaries like George Washington Williams. Future episodes will discuss the rubber boom, it's related human rights meltdown, as well as resistance and protest movements that contributed to the end of the Congo Free State.  -Consider Supporting the Podcast!- Leave a rating or review on apple podcasts or spotify! Support the podcast on Patreon: https://www.patreon.com/reflectinghistory Check out my podcast series on Aftersun, Piranesi, Arcane, The Dark Knight Trilogy, and Nazi Germany and the Battle for the Human Heart here: https://www.reflectinghistory.com/bonuscontent Try my podcast series "Nazi Germany and the Battle for the Human Heart"-- What led to the rise of Nazi Germany? The answer may surprise you…Why do 'good' people support evil leaders? What allure does fascism hold that enables it to garner popular support? To what extent are ordinary people responsible for the development of authoritarian evil? This 13 part podcast series explores these massive questions and more through the lens of Nazi Germany and the ordinary people who collaborated or resisted as the Third Reich expanded. You'll not only learn about the horrifying, surprising, and powerful ways in which the Nazis seized and maintained power, but also fundamental lessons about what fascism is-how to spot it and why it spreads. Through exploring the past, I hope to unlock lessons that everyone can apply to the present day. Check it out on my Patreon page at: https://www.patreon.com/reflectinghistory. Try my podcast series "Piranesi: Exploring the Infinite Halls of a Literary Masterpiece"-- This podcast series is a deep analysis of Susanna Clark's literary masterpiece "Piranesi." Whether you are someone who is reading the novel for academic purposes, or you simply want to enjoy an incredible story for it's own sake, this podcast series goes chapter by chapter into the plot, characters, and themes of the book..."The Beauty of the House is immeasurable; it's kindness infinite." Piranesi lives in an infinite house, with no long-term memory and only a loose sense of identity. As the secrets of the House deepen and the mystery of his life becomes more sinister, Piranesi must discover who he is and how this brings him closer to the "Great and Secret Knowledge" that the House contains. Touching on themes of memory, identity, mental health, knowledge, reason, experience, meaning, reflection, ideals, and more…Piranesi will be remembered as one of the great books of the 21st century. Hope you enjoy the series as much as I enjoyed making it. Check it out at https://www.patreon.com/reflectinghistory. Subscribe to my newsletter! A free, low stress, monthly-quarterly email offering historical perspective on modern day issues, behind the scenes content on my latest podcast episodes, and historical lessons/takeaways from the world of history, psychology, and philosophy: https://www.reflectinghistory.com/newsletter.

The Father Leopold Moczygemba Foundation is sponsoring the 2026 Silesian-Polish Texans Essay Contest for senior high school students to compete for four [post_excerpt],000 college scholarships. Twelfth-grade Texas students of any ethnicity or faith are eligible to participate. The essay topic is “Portrayal of a Silesian-Polish Texan,” and the deadline is Sunday, March 15, at 11:59 p.m. For essay requirements and submission instructions, visit https://flmfoundation.org/scholarships/.Article Link

This week Erin tells us about Nathan Leopold Jr. and Richard Loeb, two wealthy and highly intelligent Chicago teens who in 1924 kidnapped and murdered 14-year-old Bobby Franks in a disastrous attempt to commit the so‑called “perfect crime.”Sources:https://en.wikipedia.org/wiki/Friedrich_Nietzschehttps://homicide.northwestern.edu/crimes/leopold/https://homicide.northwestern.edu/docs_fk/homicide/5866/LeopoldStatement.pdfhttps://homicide.northwestern.edu/docs_fk/homicide/5866/LoebStatement.pdfhttps://en.wikipedia.org/wiki/Leopold_and_LoebSupport the show

Sand County Foundation Vice President Lance Irving discusses Aldo Leopold's “land ethic” and the application process in Kansas for the $10,000 conservation award.For more information or to apply, visit www.sandcountyfoundation.org/our-work/leopold-conservation-award/application-info.

Was Jan Hendrik Leopold de grootste Nederlandse dichter die bijna niemand echt kende?In deze verdiepende aflevering van De Nieuwe Wereld duikt Wouter Post samen met Simon Mulder (Feest der Poëzie) in het tragische en magistrale leven van Jan Hendrik Leopold. Een man die overdag klassieke talen doceerde aan het Erasmiaans Gymnasium, maar 's nachts in zijn eenzame Rotterdamse kamers bouwde aan een oeuvre dat generaties na hem: van Nijhoff tot Marsman - zou blijven inspireren.We bespreken zijn onbeantwoorde liefdes, zijn strijd met toenemende doofheid en paranoia, en hoe hij de klassieke wereld wist te versmelten met een hypermodern levensgevoel.Bronnen en links bij deze uitzending: https://feestderpoezie.nl/agenda/ voor de voorstellingen over Leopoldhttps://feestderpoezie.nl/podcast/ voor de podcast over Leopold door Mieke van Zonneveld en Simon Mulder https://feestderpoezie.nl/webshop/ voor aanschaf van het boek

====================================================SUSCRIBETEhttps://www.youtube.com/channel/UCNpffyr-7_zP1x1lS89ByaQ?sub_confirmation=1==================================================== DEVOCIÓN MATUTINA PARA MENORES 2026“HEROES Y VILLANOS”Narrado por: Tatania DanielaDesde: Juliaca, PerúUna cortesía de DR'Ministries y Canaan Seventh-Day Adventist Church10 de FebreroEl héroe mecenas«Ahora, hermanos, queremos contarles cómo se ha mostrado la bondad de Dios en las iglesias de Macedonia. A pesar de las pruebas por las que han tenido que pasar, son muy felices; y a pesar de ser muy pobres, sus ofrendas han sido tan generosas como si fueran ricos» (2 Corintios 8: 1-2).Algunas especialidades, como el arte, estarían muertas de no ser por el generoso apoyo de otros. Históricamente, ese rol se lo debemos a Gayo Cilnio Mecenas (70 a. C. a 8 a. C.), un político y consejero del emperador Augusto en la antigua Roma.Mecenas desempeñó un papel importante en la política romana, actuando como consejero de Augusto y ayudando mantener la estabilidad del régimen. Fue también un hábil diplomático y negociador, y se le atribuye haber contribuido a la expansión del imperio romano a través de acuerdos políticos y alianzas. Mecenas es recordado como uno de los personajes más influyentes y emblemáticos de la época de Augusto, y su nombre se ha convertido en sinónimo de mecenazgo cultural y apoyo a las artes en la historia de Roma.Mecenas llegó a ser conocido por su generosidad y por ser un patrocinador de las artes y la literatura. Patrocinó a numerosos escritores, poetas y artistas de la época, entre ellos Virgilio, Horacio, Ovidio y Propercio, contribuyendo así al florecimiento cultural y artístico de Roma.Gracias a Mecenas, se creó un rol en la sociedad que se conoce precisamente por el nombre de este caballero: ser un mecenas. Un mecenas es una persona que brinda apoyo financiero y estímulo a diversos campos. La palabra mecenas ha llegado a significar «patrocinio» o «filantropía».Lorenzo de' Medici fue un influyente mecenas del Renacimiento italiano, conocido por su apoyo a artistas como Leonardo da Vinci, Miguel Ángel y Botticelli. La reina Isabel I de Inglaterra apoyó a artistas del campo de la literatura y del teatro, y a escritores como William Shakespeare y Christopher Marlowe. Johann Sebastian Bach contó con el apoyo del príncipe Leopold de Anhalt-Köthen y Wolfgang Amadeus Mozart tuvo apoyo del emperador José II de Austria y el barón Gottfried van Swieten.Cuando alguna causa digna requiere apoyo, los que tienen recursos e influencia pueden venir al rescate. Gracias a personas como ellas, otros han podido preservar su arte o sus ideas para beneficio de muchos. Aunque deseable, no necesitamos invertir recursos financieros cuando se trate de apoyar causas dignas. Será notable que haya proyectos u organizaciones cuyas metas son buenas y se verían ayudadas con lo que podamos dar o hacer. Si miramos a nuestro alrededor, no tardaremos mucho en hallar alguna de esas dignas causas. 

Send us a textIn this episode, the boys are joined by Jonah Mytro, co-founder of Precision Pro Golf, to pull the curtain back on the golf technology industry. Jonah shares the origin story of taking on industry giants like Bushnell and Leopold by bootstrapping a company focused on what golfers actually need—not just expensive bells and whistles.We dive deep into the tech, discussing why rechargeable batteries are the future, the science behind "slope" algorithms, and why some major brands are failing on stabilization. Jonah also gives us an insider's look at the PGA Show, the rise of golf influencers (from Good Good to No Laying Up), and the frustration of "Chinese crap" flooding Amazon.Plus, we talk about the legendary "$1 Million Duct-Taped Rangefinder," the differences between Asian and US market designs, and give away an NX9 Slope to a lucky listener.In This Episode:The Origin Story: How Precision Pro started with a $200 price point to disrupt the market.Tech Talk: Why battery replacement programs matter and the truth about waterproofing.Hot Takes: The problem with cheap Amazon knock-offs and "race to the bottom" pricing.Course Talk: Dream rounds at Bandon Dunes, Landmand, and Rusty Canyon.Special thank goes out to our show sponsors:

As European imperialism heated up in Africa in the late 1800's, King Leopold II of Belgium put into motion one of the most ambitious and villainous plans in all of European history - the theft of the entire Congo. Utilizing the work of explorer Henry Morton Stanley, European animus towards the Afro-Arab Slave Trade, the creation of dubious committees and associations, international lobbying of governments, public relations campaigns, and bogus treaties with the people of Congo, Leopold understood that "...we must be cautious, clever and quick to act. I would not expose myself to displeasing the English or letting escape a good opportunity to get some of this beautiful African cake." In 1885, the countries of Europe gave their blessing to Leopold's slice of cake at the Berlin Conference. This episode is Part 2 in a series on the Belgian Congo. It takes a look at how Leopold II of Belgium went from being a monarch of tiny Belgium to the owner of the biggest European colony in Africa. Upcoming episodes will discuss atrocities in the Congo, resistance and reform movements, and more.  -Consider Supporting the Podcast!- Leave a rating or review on apple podcasts or spotify! Support the podcast on Patreon: https://www.patreon.com/reflectinghistory Check out my podcast series on Aftersun, Piranesi, Arcane, The Dark Knight Trilogy, and Nazi Germany and the Battle for the Human Heart here: https://www.reflectinghistory.com/bonuscontent Try my podcast series "Nazi Germany and the Battle for the Human Heart"-- What led to the rise of Nazi Germany? The answer may surprise you…Why do 'good' people support evil leaders? What allure does fascism hold that enables it to garner popular support? To what extent are ordinary people responsible for the development of authoritarian evil? This 13 part podcast series explores these massive questions and more through the lens of Nazi Germany and the ordinary people who collaborated or resisted as the Third Reich expanded. You'll not only learn about the horrifying, surprising, and powerful ways in which the Nazis seized and maintained power, but also fundamental lessons about what fascism is-how to spot it and why it spreads. Through exploring the past, I hope to unlock lessons that everyone can apply to the present day. Check it out on my Patreon page at: https://www.patreon.com/reflectinghistory. Try my podcast series "Piranesi: Exploring the Infinite Halls of a Literary Masterpiece"-- This podcast series is a deep analysis of Susanna Clark's literary masterpiece "Piranesi." Whether you are someone who is reading the novel for academic purposes, or you simply want to enjoy an incredible story for it's own sake, this podcast series goes chapter by chapter into the plot, characters, and themes of the book..."The Beauty of the House is immeasurable; it's kindness infinite." Piranesi lives in an infinite house, with no long-term memory and only a loose sense of identity. As the secrets of the House deepen and the mystery of his life becomes more sinister, Piranesi must discover who he is and how this brings him closer to the "Great and Secret Knowledge" that the House contains. Touching on themes of memory, identity, mental health, knowledge, reason, experience, meaning, reflection, ideals, and more…Piranesi will be remembered as one of the great books of the 21st century. Hope you enjoy the series as much as I enjoyed making it. Check it out at https://www.patreon.com/reflectinghistory. Subscribe to my newsletter! A free, low stress, monthly-quarterly email offering historical perspective on modern day issues, behind the scenes content on my latest podcast episodes, and historical lessons/takeaways from the world of history, psychology, and philosophy: https://www.reflectinghistory.com/newsletter.

The big three in Main Round Group I took control in Herning on Saturday, does that group need another surprise or two to live up to the hype? Meanwhile, one point separates five teams in Group II ahead of some crucial showdowns. We speak to legendary playmaker Andy Schmid about his plunge into the cold water as Switzerland's head coach and to his rising star on the left wing, Noam Leopold, about their wild EURO campaign to date.

Kontrovers, unterhaltsam, meinungsbildend – mit Sky90 präsentiert Sky den umfassendsten Fußball-Live-Talk Deutschlands. Immer sonntags ab 18:00 Uhr begrüßt Moderator Patrick Wasserziehr kompetente Gäste im Sky Studio. Heribert Bruchhagen: Ehemaliger Sportdirektor und Vorstandsvorsitzender von Eintracht Frankfurt Tim Steidten: Ehemaliger Kaderplaner von Bayer Leverkusen und West Ham United Michael Leopold: Langjähriger noch aktiver Moderator bei Sky Sport Dietmar Hamann: Sky-Experte und Champions League Sieger Themen: - Der FC Bayern kassiert die erste Bundesliga-Saisonniederlage gegen den FC Augsburg - Jonas Urbig leistet sich einige Fehler in Vertretung von Manuel Neuer. Was bedeutet das für die weiteren Spiele und die Saison? - Borussia Dortmund zwischen Stabilität und Schlotterbeck-Wirrwarr - wie regelt Nico Kovac die Situation bei Borussia Dortmund? - Eintracht Frankfurt auf der Suche nach einem neuen Cheftrainer und Stammtorwart-Rotation

This week on Bourbon Bytes (a whiskey podcast with a gaming twist), I'm covering a couple big whiskey headlines, a Lunar New Year Scotch release, and some gaming news that has me genuinely hyped.

Guest: Brenda Wineapple. The ACLU, seeking to defend religious liberty and raise its profile, seized upon the Scopescase. While the board considered prestigious constitutional lawyers, the notorious Clarence Darrow volunteered his services pro bono because he viewed the Butler Act as bigoted. Despite the ACLU's hesitation regarding Darrow'scontroversial reputation from the Leopold and Loeb trial, Scopes insisted on having the "street fighter" Darrow defend him against William Jennings Bryan.1925 CLARENCE DARROW QUESTIONS WILLIAM JENNINGS BRYAN.

Guest: Brenda Wineapple. The ACLU, seeking to defend religious liberty and raise its profile, seized upon the Scopescase. While the board considered prestigious constitutional lawyers, the notorious Clarence Darrow volunteered his services pro bono because he viewed the Butler Act as bigoted. Despite the ACLU's hesitation regarding Darrow'scontroversial reputation from the Leopold and Loeb trial, Scopes insisted on having the "street fighter" Darrow defend him against William Jennings Bryan.1925 CLARENCE DARROW WITH PRINCIPALS IN DEFENSE AT THE TABLE WHERE THE SCOPES TRIAL WAS DESIGNED

SHOW SCHEDULE1-19-20261914 FLAG DAY WITH WILSON, BRYAN, ROOSEVELT Guest: Professor Richard Carwardine. Carwardine discusses President James Buchanan's January 4, 1861, national fast day, intended to unite a fracturing nation through prayer and repentance. While old-school Presbyterians like Charles Hodge supported this call for divine intervention, the effort largely failed to forestall war. The event highlighted three distinct groups of religious nationalists: conservative Unionists, anti-slavery Republicans viewing slavery as a national sin, and pro-slavery theologians defending the institution on scriptural grounds. Guest: Professor Richard Carwardine. Carwardine explains that President-elect Lincoln did not view Republicans as overly aggressive, positioning himself as a constitution-respecting centrist rather than a radical. Lincoln opposed slavery's expansion but acknowledged its constitutional protection where it already existed, believing the South was misled by elites and would eventually return to the Union. Ironically, Lincoln and Buchanan, though political opposites, worshiped at the same Washington church, sharing an old-school Presbyterian background. Guest: Professor Richard Carwardine. In September 1861, Lincoln proclaimed a fast day, carefully avoiding specific references to slavery to maintain political unity. Carwardine details the conflict surrounding General Frémont's unauthorized emancipation order, which Lincoln revoked to prevent losing loyal border states like Kentucky. Consequently, anti-slavery nationalists used the pulpits to criticize Lincoln's caution, demanding the war become an explicit crusade against the "gigantic crime" of slavery rather than just a restoration of the Union. Guest: Professor Richard Carwardine. The discussion turns to Confederate Vice President Alexander Stephens' "Cornerstone Speech," which explicitly defined racial inequality as the Confederacy's foundation, a stance widely condemned in the North. Carwardine notes that despite earlier tensions, Lincoln viewed his fast days as successful, utilizing them and meetings with religious delegations to gauge public sentiment and prepare the ground for eventual emancipation. Lincoln valued these interactions to influence and learn from denominational leaders. Guest: Professor Richard Carwardine. Carwardine details the intense political opposition Lincoln faced in 1863 following the Emancipation Proclamation. He highlights Clement Vallandigham, a "Peace Democrat" leader who viewed the war as unwinnable and Lincoln as a "Puritan despot." Carwardine explains that the Democraticcoalition was fractured by religion, specifically between Catholics and Protestants, yet united in opposing the administration. Lincoln ultimately banished Vallandigham to the Confederacy to neutralize his influence. Guest: Professor Richard Carwardine. Carwardine discusses James McMaster, the Catholic editor of the Freeman's Journal, characterizing him as an extraordinary polemicist who was imprisoned for his "vituperations" against the war. McMaster argued the war denied the rights of free men and refused to retract his views upon release. The segment also features Samuel "Sunset" Cox, a Democrat who famously attacked New England Puritanism as the source of the nation's meddling and moral extremity. Guest: Professor Richard Carwardine. The discussion turns to the Union's "low point" in August 1864, where Lincoln expected to lose the election to Democrat George McClellan. Carwardine describes the Democraticcampaign as "brokenbacked" for pairing a general with a peace platform. However, the fall of Atlanta revived Union hopes. Carwardine emphasizes how pastors articulated a "higher cause"—the preservation of a unique republican government—to justify the war's terrible "bloodletting" and sacrifice. Guest: Professor Richard Carwardine. Carwardine analyzes the war's conclusion and Lincoln's Second Inaugural Address, which framed the conflict as divine judgment for the shared offense of slavery. He notes that Lincoln intended a Reconstruction based on charity and "absence of malice," rather than punishment. By 1865, Lincoln's views had evolved to support citizenship for African American veterans, though his assassination left the specific blueprint for the nation's reintegration unfinished and uncertain. Guest: Brenda Wineapple. In 1925, the Tennessee legislature passed the Butler Act, banning the teaching of evolution in public schools. At Robinson's drugstore in Dayton, local booster George Rapier and others recruited 24-year-old science teacher John Scopes to violate the law as a test case to generate publicity for the town. Although Scopes was knowingly guilty, the ACLU backed the defense to challenge the law's constitutionality regarding the separation of church and state. Guest: Brenda Wineapple. The ACLU, seeking to defend religious liberty and raise its profile, seized upon the Scopes case. While the board considered prestigious constitutional lawyers, the notorious Clarence Darrowvolunteered his services pro bono because he viewed the Butler Act as bigoted. Despite the ACLU's hesitation regarding Darrow's controversial reputation from the Leopold and Loeb trial, Scopes insisted on having the "street fighter" Darrow defend him against William Jennings Bryan. Guest: Brenda Wineapple. Clarence Darrow was a celebrated attorney known for his "downhome" jury appeals and defense of the marginalized. Mentored by progressive John Altgeld, Darrow built a reputation defending labor unions, socialists like Eugene Debs, and the poor against powerful corporations. However, his career suffered a "bad patch" following the McNamara brothers' bombing case in Los Angeles, where Darrow himself faced trials for allegedly bribing a juror, leaving him with a checkered reputation. Guest: Brenda Wineapple. Three-time presidential candidate William Jennings Bryan joined the prosecution to revive his political career and defend fundamentalism. Famous for his populist "Cross of Gold" speech, Bryan had become rigid in his views, advocating for prohibition and a literal reading of the Bible. He viewed the trial as a platform to combat the theory of evolution, which he believed deprived children of a moral center and denied the miracles of creation. Guest: Brenda Wineapple. Fundamentalist Judge John T. Raulston presided over the trial, enjoying the publicity brought by loudspeakers and radio coverage. The defense included civil liberties lawyer Arthur Garfield Hayes, a secular Jew, serving as a constitutional anchor. Meanwhile, William Jennings Bryan arrived as a celebrity in a pith helmet, though Scopes noted Bryan ignored his own diabetes by overeating at dinner, revealing a disconnect between his fundamentalist beliefs and medical science. Guest: Brenda Wineapple. The defense suffered a major setback when the judge ruled that their scientific experts could not testify before the jury, forcing them to read affidavits into the record instead. H.L. Mencken, the acerbic journalist who dubbed the event the "Monkey Trial," covered the proceedings. Sympathetic to Darrow and critical of Bryan's "fanatic" views, Mencken influenced public perception, though the jury remained shielded from the scientific evidence the defense hoped to present. Guest: Brenda Wineapple. During a stifling heatwave, the trial moved outdoors where Darrow executed a shocking maneuver by calling prosecutor William Jennings Bryan to the witness stand. Darrow interrogated Bryan on his literal interpretation of the Bible, questioning stories like Jonah and the whale. Bryan faltered, admitting creation "days" might be metaphorical periods, which undermined his fundamentalist position and allowed Darrow to humiliate him regarding his knowledge of history, geology, and world religions. Guest: Brenda Wineapple. The trial ended abruptly with a guilty verdict, denying Bryan his closing speech; he died days later, likely due to heat, stress, and diabetes. John Scopes eventually became a geologist and lived a reclusive life, refusing to exploit his fame. Darrow's later career fluctuated, including a controversial defense in the racially charged Massie trial in Hawaii, before his death in 1938, leaving behind a complex legacy beyond the "Inherit the Wind" narrative.

Interview starts at 10:48.Check out The Ultimate 2026 YouTube Creator Marketing Playbook here.In this episode, Lauren and Josh break down the "carcinization" of media (why Disney and others are turning into TikTok) and discuss YouTube's strict new parental controls. Then, Arthur Leopold, CEO of Agentio, joins us to reveal The Ultimate 2026 YouTube Creator Marketing Playbook. He explains how they are automating creator integrations to finally unlock massive paid media budgets.What you'll learn:-- Why everything is evolving into vertical video-- How Agentio automates buying creator ads like Facebook ads-- Why micro creators often convert better than macro stars-- How the gap between influencer budgets and paid media budgets is closing-- Kai Cenat's "retirement"-- Fixated's acquisition of the world's largest Roblox creator rep firm00:00 Introduction00:25 The Carcinization of Media02:13 Disney & Others Copy TikTok06:38 YouTube's New Parental Controls10:48 Arthur Leopold & Agentio12:01 Automating Creator Ad Buys15:25 The Impact of Long-Term Deals18:25 Why YouTube Ads Last Longer20:02 Micro vs. Macro Creators23:14 Unlocking Paid Media Budgets28:30 Fixated Acquires Ellify32:00 Kai Cenat "Quits" the Grind33:40 Golden Globes & Final ThoughtsCreator Upload is your creator economy podcast, hosted by Lauren Schnipper and Joshua Cohen.Follow Lauren: https://www.linkedin.com/in/schnipper/Follow Josh: https://www.linkedin.com/in/joshuajcohen/Original music by London Bridge: https://www.instagram.com/londonbridgemusic/Edited and produced by Adam Conner: https://www.linkedin.com/in/adamonbrand

We are moving on for Hitchcock month and jumping a bit ahead chronologically, with 1948's, Rope. Loosely based on the crime of Leopold and Loeb, Rope tells the direct aftermath of the murder of a young man by his supposed friends and the psychological lengths the killers will take to feel superior. Co-starring Jimmy Stewart, this is one of Hitch's most overlooked but possibly best films. Ween dunks the Gingerdead Man in some delicious hot chocolate for this week's Tubi or Not TubiWhat We're WatchingSeparation of Church and Hate - John FugelsangBlack Rock (2012) Up Next: SpellboundWhere to Find us:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Threads⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Youtube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠TikTok⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Letterboxd⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠boozeboobsandbloodpodcast@gmail.comb3horrorpodcast.combluesky: @⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠b3podcast.bsky.social⁠⁠⁠⁠⁠⁠⁠⁠ Hosted on Acast. See acast.com/privacy for more information.

From 1885 to 1908, King Leopold II of Belgium owned the Congo as his own personal colony. What transpired there over the course of his reign has credibly been called "the vilest scramble for loot that ever disfigured the history of human conscience." Forced labor, slavery, disease, destruction, and destabliziation led to millions of deaths in one of the lesser known mass trauma events in human history. This is the story of the Congo Free State in Central Africa.  This episode is Part 1 in a series on the Belgian Congo. It takes a look at the origins of humanity in Africa, the Congo as a geographic and human region, the Congo River, the development of agriculture, slavery, and society in the Congo before European arrival, the Indian Ocean Slave Trade vs. the Trans Atlantic Slave Trade, the arrival of the Portuguese in the Congo, the motivations for African Imperialism, the intensification of the slave trade as a result of European arrival, the resulting disruption and destabilization, and more. Future episodes will discuss Leopold's acquisition of the Congo as a colony, the resulting atrocities, resistance and reform movements, and the full story of the Congo Free State.  -Consider Supporting the Podcast!- Leave a rating or review on apple podcasts or spotify! Support the podcast on Patreon: https://www.patreon.com/reflectinghistory Check out my podcast series on Aftersun, Piranesi, Arcane, The Dark Knight Trilogy, and Nazi Germany and the Battle for the Human Heart here: https://www.reflectinghistory.com/bonuscontent Try my podcast series "Nazi Germany and the Battle for the Human Heart"-- What led to the rise of Nazi Germany? The answer may surprise you…Why do 'good' people support evil leaders? What allure does fascism hold that enables it to garner popular support? To what extent are ordinary people responsible for the development of authoritarian evil? This 13 part podcast series explores these massive questions and more through the lens of Nazi Germany and the ordinary people who collaborated or resisted as the Third Reich expanded. You'll not only learn about the horrifying, surprising, and powerful ways in which the Nazis seized and maintained power, but also fundamental lessons about what fascism is-how to spot it and why it spreads. Through exploring the past, I hope to unlock lessons that everyone can apply to the present day. Check it out on my Patreon page at: https://www.patreon.com/reflectinghistory. Try my podcast series "Piranesi: Exploring the Infinite Halls of a Literary Masterpiece"-- This podcast series is a deep analysis of Susanna Clark's literary masterpiece "Piranesi." Whether you are someone who is reading the novel for academic purposes, or you simply want to enjoy an incredible story for it's own sake, this podcast series goes chapter by chapter into the plot, characters, and themes of the book..."The Beauty of the House is immeasurable; it's kindness infinite." Piranesi lives in an infinite house, with no long-term memory and only a loose sense of identity. As the secrets of the House deepen and the mystery of his life becomes more sinister, Piranesi must discover who he is and how this brings him closer to the "Great and Secret Knowledge" that the House contains. Touching on themes of memory, identity, mental health, knowledge, reason, experience, meaning, reflection, ideals, and more…Piranesi will be remembered as one of the great books of the 21st century. Hope you enjoy the series as much as I enjoyed making it. Check it out at https://www.patreon.com/reflectinghistory. Subscribe to my newsletter! A free, low stress, monthly-quarterly email offering historical perspective on modern day issues, behind the scenes content on my latest podcast episodes, and historical lessons/takeaways from the world of history, psychology, and philosophy: https://www.reflectinghistory.com/newsletter.

Hey Leute, da wir immer wieder Fragen kommen, ob die Beschreibungstexte von jemandem geschrieben werden, der von einem Gedankenkontrollwurm gesteuert wird, wollen wir das hier ein für alle mal beantworten: Nein! Das ist völlig albern, macht euch da wirklich bitte keine Sorgen! Gedankenkontrollwürmer sind KEIN ProblemVielen Dank an Leopold für das Intro!Hier findest du alle Infos und Rabatte unserer Werbepartner: linktr.ee/daspodcastufo Hosted on Acast. See acast.com/privacy for more information.

How did one woman take on the brutal colonial King Leopold II in Congo with her camera? Who was Alice Seely Harris and why should we remember her name? How did she smuggle her photographs of the horrors going on in the Congo out of the country? Anita and William discuss the life of Alice Seely Harris, the mouse who stood up to a lion using the power of her Kodak Camera… Join the Empire Club: Unlock the full Empire experience – with bonus episodes, ad-free listening, early access to miniseries and live show tickets, exclusive book discounts, a members-only newsletter, and access to our private Discord chatroom. Sign up directly at empirepoduk.com  For more Goalhanger Podcasts, head to www.goalhanger.com. Email: empire@goalhanger.com Instagram: @empirepoduk Blue Sky: @empirepoduk X: @empirepoduk Producer: Anouska Lewis Assistant Producer: Alfie Rowe Executive Producer: Dom Johnson Learn more about your ad choices. Visit podcastchoices.com/adchoices

In 1830 Belgium became its own country after winning independence from the Netherlands. Founded as a Constitutional Monarchy the national congress elected Leopold I (who of course was tied to the British Monarchy) to serve as king. Following Leopold as monarch was, surprise surprise, Leopold II. Being a new country, Belgium was late to the party establishing any colonial holdings. Leopold II heard about the Congo in Africa and crafted one of the biggest cons in human history. Under the guise of ruling the country to help advance and civilize the people and region, Leopold was made sole ruler of the Congo with no one to answer to. He used his total and utter control of the Congo to brutalize the people and strip the country of its resources to enrich himself personally. This happened over a period 20 years until the atrocities he committed were brought to light. Murder, Mutilation, Slavery, nothing was off the table for Leopold II. Join us as we discuss one of histories worst humans and his reign of terror. Support the show

Jon and Judy are accompanied by Marlys, Darrel and Barbara this year and have a great time trying out whiskies from their birth states. Honorable Mention goes to Freeland Spirits Bourbon Whiskey - Yum

Our favorite moments from the virtual live show with Cecile Landi and Levi, (watch highlights here) our 2025 Opportunity for Comedy Awards, two college mini-commissions where we delve into all the Alabama-Georgia drama that never made it into the Suzanne and Sarah documentary.  Watch this week's episode with GIFS on Youtube LIVE SHOW REPLAY IS AVAILABLE: If you purchased a ticket to the live show with Cecile Landi and Levi Jung-Ruivivar benefitting The National Eating Disorder Foundation you can still watch the replay and play the quiz for a prize by going to gymcastic.com  2026 LIVE SHOW SEASON PASSES ARE NOW AVAILABLE! That's 4 live show passes for the price of 3! Season passes will be available up until the week of the first show. Buy a 2026 season pass here.  (5:25) 2025 Opportunities for Comedy Awards The ''OH HELL NO I am not going out of bounds'' award Eastern Michigan and West Virginia both contending for the ''you understood the assignment'' award Why Leila Vasilieva is getting the ''Wolf Turn Protest Award'' Recognizing Zoey Molomo as the winner of the ''Olly Hogben Unintentional Dismount'' award The impact of Courtney McCool's right heel and why it deserves to win the ''Style Accessory of the Year'' award What would this show even be if we didn't have at least six candidates for the ''Fall of the Year'' award Which country wins our ''awkward moment of the year'' award Giorgia Villa, Angela Andreoli, and Martina Maggio making us feel seen with mic issues on a live broadcast 32:05 GYMTERNET NEWS ICYMI the FIG has rebranded themselves as World Gymnastics. Are there any big changes to come from this? How are the NCAA pre-season intrasquad meets looking? Georgia looked goooood What insights did Cecile give us about Camarah Williams and JaFree Scott at the live show? UCLA looked very UCLA in December Kayla DiCello is so back Ana Barbosu is going to dominate at Stanford Nina Derwael was knighted and granted the grade of Grand Officier of the Order of Leopold by King Phillippe as recognition for her gymnastics career   45:29 MINI-COMMISSION: One Per Event Dream Team  Using only gymnasts from the past three years, selecting gymnasts from any team, who would be on our ideal college gymnastics teams?   1:07:11  MINI-COMMISSION: Alabama-Georgia Drama We go into depth as to how the Georgia-Alabama started, the back and forth between the teams, and of course the outfits and ''stereotypes'' of each team The dog bite incident How dominant were these teams in the SEC and nationally? What legacies do these teams carry on that are still applicable today? Want more? Listen to Gym Nerd School 102: College Gymnastics  SUPPORT THE SHOW: Join Club Gym Nerd: https://gymcastic.com/club/ Merch: https://gymcastic.com/shop/ Headstand Game: https://gymcastic.com/headstand-plugin/ Forum: https://gymcastic.com/community/ UP NEXT: Behind The Scenes: Live Q&A podcast Friday this week only at noon Pacific/8 GMT NEWSLETTERS Sign up for all three GymCastic newsletters  RESOURCES Spencer's essential website The Balance Beam Situation  GIFs of the Week and Meet schedule with links. Gymnastics History and Code of Points Archive from Uncle Tim The Balance: My Years Coaching Simone Biles by Aimee Boorman with Fact Checker. Aimee coached Simone from day one in gymnastics to three back to back World All Around titles, 14 world medals and an unprecedented 5 medals at the Rio Olympics. Get your copy now. And if you loved it, please leave a review.  

Today it's the first in our series of live episodes recorded at the Regent Street Cinema in London: David talks to the crime writers Nicci Gerrard and Sean French (aka Nicci French) about Alfred Hitchcock's Rope (1948), based on Patrick Hamilton's play of the same name, itself based on the real-life case of Leopold and Loeb. What is the true subject of this film: murder, sex, morality or something else? Why is James Stewart so hopelessly miscast? And how does all this connect to Nietzsche? If you are still looking for Christmas presents we have 6- and 12-month gift subscriptions to PPF+ giving access to all our bonus episodes, ad-free listening and automatic sign-up to our fortnightly newsletter – which can be delivered to the recipient of your choice on Christmas Day! ⁠https://ppf.supportingcast.fm/gifts⁠ Next time: My Dinner with Andre w/Lee Hall Learn more about your ad choices. Visit podcastchoices.com/adchoices

Today, we take a closer look at King Leopold. We'll talk about how King Leopold obtained the Congo, the rubber trade, the cutting off of hands, the burning of archives, and other interesting topics... Welcome to HISTORY CAMP!

Episode 223: Hosts Richard Kyte and Scott Rada take on a modern problem that feels both familiar and persistent: why so many people feel unmoored despite busier lives than ever. Their conversation explores whether stepping outside — even briefly — can provide a clearer path to reflection, balance and personal insight. The episode wraps up the show’s occasional series inspired by Kyte’s lecture program, “The Search for Meaning.” Earlier discussions explored justice, truth, love and beauty. This week, the focus turns to the natural world, which Kyte argues offers lessons not just about the environment, but about how people understand themselves. Kyte explains that outdoor settings operate on rhythms vastly different from those that dominate our daily lives. Wildlife, landscapes and seasonal change create an environment that moves at its own pace — slower, quieter and resistant to human control. That contrast, he says, forces people to shift from constant activity to simple observation, a state many find both uncomfortable and deeply restorative. Rada, attending Kyte’s recent lecture on the topic, shares stories from the audience discussions, including one student who began spending nights in a hammock on the bluffs above La Crosse. The stillness startled him at first, but ultimately became a source of comfort and clarity. Kyte notes that such moments push people to confront their surroundings without distraction and, in the process, learn something about their own reactions, fears and habits. The episode also explores the writings of conservationist Aldo Leopold, whose classic “A Sand County Almanac” helped shape modern environmental ethics. Kyte describes Leopold’s belief that understanding the land requires both affection and attention — learning the names of things, noticing seasonal changes and recognizing the ways humans fit within a larger community of living beings. Listeners hear personal reflections from both hosts, including Rada’s childhood memories of viewing nature through car windows and Kyte’s accounts of encountering wildlife just steps from busy city streets. Together, they argue that meaningful outdoor experiences don’t require remote wilderness or weeklong expeditions. Quiet city parks, early morning walks and small acts of noticing can offer the same rewards.

Full TorahAnytime Lecture Video or Audio More classes from R' Eliyahu Maksumov ⭐ 2,497

Full TorahAnytime Lecture Video or Audio More classes from R' Eliyahu Maksumov ⭐ 2,497

Full TorahAnytime Lecture Video or Audio More classes from R' Eliyahu Maksumov ⭐ 2,497

Our exit today has us talking about some cows and Farmer's Bounty. This week, we are ending our season by looking at a double feature of romantic comedies starring Hugh Jackman. First, we are going to talk about Someone Like You, written by Elizabeth Chandler and directed by Tony Goldwyn. Then we will talk about Kate & Leopold, written by James Mangold and Steven Rogers and directed by Mangold.Along the way, we talk lots of Hugh Jackman, but also the power of Ebert & Roeper at this time, Greg Kinnear, New York movies, Ashley Judd, HBO movies, Wolverine, and more.Thememusic by Jonworthymusic.Powered by RiversideFM.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠CFF Films⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ with Ross and friends.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Movies We've Covered on the Show⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ on Letterboxd.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Movies Recommended on the Show⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ on Letterboxd.

Hannah Fox talks about her gelding Leopold, and how she rehabbed him from a damning navicular diagnosis back to soundness and competition - barefoot!Thank you to our amazing sponsors:Cavallo Hoof Boots is offering 15% off a pair of Trek hoof boots at cavallo-inc.com with code HRNA special shout out to Grid as New, Mud Control Grids – they are a game changer for any mud issues, big or small! – mudcontrolgrids.comAlso be sure to check out Hay Boss Feeders – haybossfeeders.com – for all your slow-feeding needs. I get my Hay Boss feeders from Mountain Lane Farm in NH!

Hannah Fox talks about her gelding Leopold, and how she rehabbed him from a damning navicular diagnosis back to soundness and competition - barefoot!Thank you to our amazing sponsors:Cavallo Hoof Boots is offering 15% off a pair of Trek hoof boots at cavallo-inc.com with code HRNA special shout out to Grid as New, Mud Control Grids – they are a game changer for any mud issues, big or small! – mudcontrolgrids.comAlso be sure to check out Hay Boss Feeders – haybossfeeders.com – for all your slow-feeding needs. I get my Hay Boss feeders from Mountain Lane Farm in NH!

J.S. aka Jeffrey Groves https://www.patreon.com/cw/jsgroves returns to speak with Luxa https://linktr.ee/LuxaStrata about how to recover from creative or magical burnout, and what to do when you're starting to realize you're experiencing it. Jeffrey also shares about writing the series, The Prince's Fighter's, “ritual play” and xier photography work, including capturing magical operations like invocation, experimenting with spirit photography and more. Luxa shares about the experience of modeling for such shoots, communion with Austin Osman Spare and invoking Venus Victrix. Diversions include paranormal investigation photography, talismanic jewelry, botthole haikus and more!Thanks for listening to the Lux Occult Podcast! Support the show by helping Luxa buy books and curtail other costs, as well as taking a bibliomancy break by giving on Patreon: https://www.patreon.com/luxoccult . Or, Buy Me a Coffee.com is an option for a one time donation: https://www.buymeacoffee.com/luxoccultpod?new=1 We would love to hear from you! Please send your thoughts, questions, suggestions or arcane revelations to luxoccultpod@gmail.com or message on Instagram @luxoccultpod https://www.instagram.com/luxoccultpod/ and on BlueSky https://bsky.app/profile/luxastrata919.bsky.socialGreen Mushroom Project https://greenmushroomproject.com/ Ask for a link to our Discord server!Merch! https://www.etsy.com/shop/IlluminIndustries?ref=shop_profile&listing_id=1880570110Jeffrey Groves http://jsgroves.com/ The Prince's Fighters novel https://princesfighters.jsgroves.com/The Sorcerer's Workbench https://www.etsy.com/shop/sorcerersworkbench/?etsrc=sdtReferenced in today's episode:66. Dionysus and the Sorcerer's Workbench w/ JS Groves & the Game of Identity w/ Art Worldbuilding https://podcasters.spotify.com/pod/show/luxa-strata/episodes/66--Dionysus-and-the-Sorcerers-Workbench-w-JS-Groves--the-Game-of-Identity-w-Art-Worldbuilding-e28numnVoid House Presents: Trauma Informed Practices or “Just the TIPs”https://youtu.be/gCrTpfsAAHcLeopold von Sacher-Masochhttps://en.wikipedia.org/wiki/Leopold_von_Sacher-MasochCool People Who Did Cool Stuff Podcast Part One: Riot Dogs Are Very Good Dogshttps://www.iheart.com/podcast/1119-cool-people-who-did-cool-96003360/episode/part-one-riot-dogs-are-very-115624059/?embed=trueCool People Who Did Cool Stuff Podcast Part Two: Riot Dogs Are Very Good Dogshttps://www.tapesearch.com/episode/part-two-riot-dogs-are-very-good-dogs/NFEvDfVGVECcS3HywsnVy4‘The Tradition' by Jericho Brown https://poets.org/poem/traditionFind Luxa's work published in Serpents of Circe: A Manual to Magical Resilience edited by Laura Tempest Zakroff and Ron Padrón https://revelore.press/product/serpents-of-circe-a-manual-to-magical-resilience/Lux Occult is produced by Luxa Strata. All rights reserved. 2025.

For at least two centuries, ideas of international relations and grand strategy have been premised on the notion of “great powers.” These were mighty states uniquely able to exert their influence through overwhelming military force. In the words of friend of the podcast Leopold von Ranke, a great power was one who could “maintain itself against all others, even when they are united”—but my guest, Phillips Payson O'Brien, argues that this definition is ahistorical nonsense.Indeed “great power” he says, has always been a tautology. Nor has it been helpful or accurate to focus who has the biggest armies. And dreaming of decisive battle has blinded us to what truly determines victory: the capacity to mobilize and sustain industrial power, logistics, technology, and global reach.In his new book War and Power: Who Wins Wars and Why, O'Brien dismantles some popular myths of military and diplomatic history and replaces them with a far more dynamic picture—one that redefines how states fight, how they win, and how we should understand power itself in the twenty-first century.For this episode's show notes, and other resources, go to the Historically Thinking SubstackChapters & Timestamps00:28 – Introduction: Challenging the Great Power Myth03:25 – The Persistence of Short War Myths08:22 – The Political Nature of Warfare14:06 – Power Rightly Understood: Economic and Technological Strength20:59 – Society, Structure, and the British-American Power Transition27:36 – Constructing and Regenerating Military Forces46:16 – The Importance of Strong Alliances39:23 – Understanding War: Beyond Battles and Single Weapons45:16 – Human Elements: Leadership, Training, and Morale49:54 – Technological Adaptation: From WWI Aircraft to Modern Drones57:30 – Applied History and the Problem of Transparency57:52 – Outro / Credits

CONTINUED Nathaniel Peters, The Nature of Murder and Evil in Andrew Klavan's "The Kingdom of Cain" Nathaniel Peters reviews Andrew Klavan's "The Kingdom of Cain," which explores murder and evil through fiction and real-life examples. Klavan, a former atheist, was propelled to faith by pondering evil, suggesting that recognizing objective moral order is necessary to condemn acts like those of the Marquis de Sade. The book examines Leopold and Loeb, who murdered to prove their superiority and live beyond good and evil, but left a crucial clue, highlighting their human fallibility. Klavan also considers Dostoevsky's Raskolnikov, whose rationalized yet pointless murder leads to a breakdown of his self-deception. Klavan argues artistic creation, like Michelangelo's Pietà, can redeem or transform the subject of art. Michelangelo's Pietà Vatican City, Vatican City A marble sculpture by Michelangelo depicting the Virgin Mary holding the body of Jesus Christ.

Nathaniel Peters, The Nature of Murder and Evil in Andrew Klavan's "The Kingdom of Cain" Nathaniel Peters reviews Andrew Klavan's "The Kingdom of Cain," which explores murder and evil through fiction and real-life examples. Klavan, a former atheist, was propelled to faith by Klavan, a former atheist, was propelled to faith by pondering evil, suggesting that recognizing objective moral order is necessary to condemn acts like those of the Marquis de Sade. The book examines Leopold and Loeb, who murdered to prove their superiority and live beyond good and evil, but left a crucial clue, highlighting their human fallibility. Klavan also considers Dostoevsky's Raskolnikov, whose rationalized yet pointless murder leads to a breakdown of his self-deception. Klavan argues artistic creation, like Michelangelo's Pietà, can redeem or transform the subject of art. UNDATED NEAR MOSCOW

CBS EYE ON THE WORLD WITH JOHN BATCHELOR SHOW SCHEDULE  9-5 GOOD EVENING: The show begins in Las Vegas as the Strip struggles with decline. FIRST HOUR 9-915 Jeff Bliss, Las Vegas Tourism Decline and Anaheim Development Jeff Bliss reports a significant decline in Las Vegas tourism, with a 12% drop in visitors, which he attributes to the city's nickel and diming practices by major corporations like MGM and Caesar's Palace, coupled with the rise of online gambling. Despite increased gaming revenue, the broader city economy, including restaurants and hotels not part of the strip, is suffering. Vegas resorts are now offering discounts and food credits to attract visitors. Nevada's unique lack of a state lottery, forcing residents to cross state lines for games like Powerball, also highlights a peculiar disadvantage. In Anaheim, a proposed skyway/gondola system aims to connect Disneyland, hotels, and sports venues. 915-930 Brandon Weichert, Artificial Intelligence, Quantum Computing, and Economic Impact Brandon Weichert and John Batchelor discuss artificial intelligence and quantum computing, with Weichert expressing optimism for AI's long-term economic benefits, though he finds a 7% GDP growth projection very optimistic. He believes AI will augment, not replace, human work, leading to positive productivity gains over time, especially in manufacturing and tech sectors. The conversation touches on AI's current competitiveness in generating novel research hypotheses, nearly matching humans in a Science magazine study, but humans still slightly lead in designing experiments. Weichertsees quantum computing as the next breakthrough 930-945  Professor Richard Epstein, Federal Power, National Guard Deployment, and University Funding Professor Richard Epstein discusses two cases involving the Trump administration's use of federal power. First, he analyzes Judge Charles Brier's ruling that Trump's deployment of National Guard troops for immigration enforcement in Southern California was partially illegal, citing the 1878 Posse Comitatus Act. Epstein distinguishes between protecting federal interests and overstepping into local policing, as with traffic violations or raids far from Los Angeles. He criticizes the political polarization between Trump and Governor Gavin Newsom for hindering cooperation during emergencies. Second, Epstein addresses Judge Allison Burroughs' interim decision against Trump's freezing of Harvard's research funds over anti-Semitism allegations, warning of long-term damage to US medical research. 945-1000 CONTINUED Professor Richard Epstein, Federal Power, National Guard Deployment, and University FundingProfessor Richard Epstein discusses two cases involving the Trump administration's use of federal power. First, he analyzes Judge Charles Brier's ruling that Trump's deployment of National Guard troops for immigration enforcement in Southern California was partially illegal, citing the 1878 Posse Comitatus Act. Epstein distinguishes between protecting federal interests and overstepping into local policing, as with traffic violations or raids far from Los Angeles. He criticizes the political polarization between Trump and Governor Gavin Newsom for hindering cooperation during emergencies. Second, Epstein addresses Judge Allison Burroughs' interim decision against Trump's freezing of Harvard's research funds over anti-Semitism allegations, warning of long-term damage to US medical research. SECOND HOUR 10-1015 Bradley Bowman, Chinese Military Parade and US Security Bradley Bowman discusses a recent massive Chinese military parade, noting the presence of Xi Jinping, Vladimir Putin, and Kim Jong-un, with the president of Iran also in attendance. He views the parade as a demonstration of China's decades-long effort to build a military capable of defeating the US in the Pacific, highlighting the erosion of American security and increased likelihood of a Taiwan Strait conflict. Specific concerns include modernized hypersonic YJ seriesanti-ship missiles challenging US naval interception, the DF61 intercontinental ballistic missile aimed at the US, and a low-observable tailless drone for manned fighters.1015-1030 Conrad Black, Canadian Politics, Mr. Carney's Government, and Regional Challenges Conrad Black discusses the challenges facing Mr. Carney's new Canadian government, particularly the unrest in Alberta. Carney's extreme green views threaten Alberta's oil and ranching economy, leading to a significant separatist movement that could see the province join the United States if its energy exports aren't facilitated. Black notes that Carney has yet to reveal his plans to address this or the historical cultural and political challenges posed by Quebec, a wealthy province with aspirations for independence. Carney has been robust on national security, agreeing with President Trump that Canada needs increased defense spending.1030-1045 Jim McTague, Lancaster County Economy and National Job Market Jim McTague provides an optimistic view of Lancaster County's economy, contrasting with national job market slowdowns. He notes low unemployment at 3.4% and no personal reports of job losses. The county's economy is buoyed by affluent retirees, who contribute millions to local restaurants and businesses, and a booming tourism sector attracting 10 million visitors annually. McTague highlights the importance of agriculture and the Amish culture as economic backbones. However, housing prices are significantly elevated, posing a challenge for younger, lower-wage workers. Growth is concentrated in suburban townships due to a superior healthcare industry and expanding data centers and pharmaceutical companies attracting professionals.1045-1100 CONTINUED Jim McTague, Lancaster County Economy and National Job Market Jim McTague provides an optimistic view of Lancaster County's economy, contrasting with national job market slowdowns. He notes low unemployment at 3.4% and no personal reports of job losses. The county's economy is buoyed by affluent retirees, who contribute millions to local restaurants and businesses, and a booming tourism sector attracting 10 million visitors annually. McTague highlights the importance of agriculture and the Amish culture as economic backbones. However, housing prices are significantly elevated, posing a challenge for younger, lower-wage workers. Growth is concentrated in suburban townships due to a superior healthcare industry and expanding data centers and pharmaceutical companies attracting professionals. THIRD HOUR 1100-1115 Molly Beer, Angelica Schuyler Church and the American Revolution Molly Beer discusses Angelica Schuyler Church (1755-1814), a prominent figure during the American Revolution. Born to the influential Schuyler family in Albany, Angelica was well-educated, a trait uncommon for women of her time but typical for Dutch families. She eloped with John Carter (later John Barker Church), much to her family's dismay, a decision perhaps driven by love for the cosmopolitan Englishman. Angelica was deeply involved in the revolutionary cause, supporting the French army and maintaining a strong patriotic identity even while living in London after the war. She cultivated extensive connections with key figures like George Washington, Alexander Hamilton, Thomas Jefferson, and Lafayette .1115-1130 CONTINUED Molly Beer, Angelica Schuyler Church and the American Revolution 1130-1145 CONTINUED Molly Beer, Angelica Schuyler Church and the American Revolution Molly Beer discusses 1145-1200 CONTINUED Molly Beer, Angelica Schuyler Church and the American Revolution Molly Beer . FOURTH HOUR 12-1215 Henry Sokolski, Plutonium, Nuclear Proliferation, and International Debate Henry Sokolski discusses the global debate surrounding plutonium, a highly poisonous substance used in nuclear weapons, especially by China, South Korea, and Britain. He explains that plutonium can be extracted from nuclear power reactors and quickly used to make a bomb, similar to the Nagasaki weapon. Sokolski criticizes the US Energy Department for suggesting that new reactor designs like Natrium and Ollo can extract plutonium while leaving enough radionuclides to prevent bomb-making, a claim previously debunked by studies. He highlights proliferation risks, citing South Korea's historical attempts to use civil reprocessing to acquire nuclear weapons.1215-1230 Jack Burnham, Manhattan Project Lessons for AI and US-China Talent Competition Jack Burnham explains that China views the Manhattan Project as a key lesson in harnessing international talent for national strategic goals, particularly in artificial intelligence. The US successfully recruited theoretical physicists fleeing Nazi Germany, nurturing a scientific reserve for the atomic bomb project. Burnham notes that after World War II, the US continued to prioritize basic science funding, leading to its technological edge. However, he suggests the US is currently struggling with this, as funding issues and regulatory uncertainty are driving American scientists abroad and limiting foreign talent attraction while countries like China, the EU, France, and Canada actively recruit US scientists.1230-1245 Nathaniel Peters, The Nature of Murder and Evil in Andrew Klavan's "The Kingdom of Cain" Nathaniel Peters reviews Andrew Klavan's "The Kingdom of Cain," which explores murder and evil through fiction and real-life examples. Klavan, a former atheist, was propelled to faith by Klavan, a former atheist, was propelled to faith by pondering evil, suggesting that recognizing objective moral order is necessary to condemn acts like those of the Marquis de Sade. The book examines Leopold and Loeb, who murdered to prove their superiority and live beyond good and evil, but left a crucial clue, highlighting their human fallibility. Klavan also considers Dostoevsky's Raskolnikov, whose rationalized yet pointless murder leads to a breakdown of his self-deception. Klavan argues artistic creation, like Michelangelo's Pietà, can redeem or transform the subject of art.1245-100 AM CONTINUED Nathaniel Peters, The Nature of Murder and Evil in Andrew Klavan's "The Kingdom of Cain" Nathaniel Peters reviews Andrew Klavan's "The Kingdom of Cain," which explores murder and evil through fiction and real-life examples. Klavan, a former atheist, was propelled to faith by pondering evil, suggesting that recognizing objective moral order is necessary to condemn acts like those of the Marquis de Sade. The book examines Leopold and Loeb, who murdered to prove their superiority and live beyond good and evil, but left a crucial clue, highlighting their human fallibility. Klavan also considers Dostoevsky's Raskolnikov, whose rationalized yet pointless murder leads to a breakdown of his self-deception. Klavan argues artistic creation, like Michelangelo's Pietà, can redeem or transform the subject of art.