Podcasts about rtx

A Computex 2026 trouxe uma série de anúncios importantes para o mercado de tecnologia, mas poucos chamaram tanta atenção quanto o RTX Spark, a nova plataforma da NVIDIA voltada para computação acelerada por IA em dispositivos locais. Neste episódio do Diocast, discutimos o que exatamente é o RTX Spark, quais problemas ele pretende resolver e como ele se posiciona em um mercado que já conta com soluções como Snapdragon X Elite, Ryzen AI e os novos processadores Intel com aceleração dedicada para inteligência artificial.Mais do que simplesmente lançar um novo chip, a NVIDIA parece estar ampliando sua presença para além das placas de vídeo tradicionais. O RTX Spark combina CPU baseada em arquitetura ARM, GPU com tecnologias derivadas do ecossistema RTX e recursos dedicados para cargas de trabalho envolvendo inteligência artificial. Na prática, isso pode abrir espaço para computadores mais eficientes, capazes de executar modelos de IA localmente, reduzindo a dependência de serviços em nuvem e melhorando aspectos como privacidade, latência e disponibilidade.---https://diolinux.com.br/podcast/lancamento-da-nvidia-rtx-spark.html

On this edition of the Sams Report, Windows has Build, Xbox might get Exclusives back, and RTX is the new hero. Check out Clairvoyance! - https://www.clairvoyanceai.com/ I work on Clairvoyance...so disclosure. Chapters: Intro: 00:00-00:53 Tech News: 00:53-9:47 Gaming News: 9:47-13:45 Questions: 13:45-19:45 Outro: 19:45-20:13

Nvidias neues Spark-SoC stiehlt auf der Computex 2026 allen die Show! Der revolutionäre Chip verbindet erstmals eine starke Arm-CPU mit Blackwell-Grafik und bricht mit alten PC-Standards. Da geraten AMDs neue RX 9070 GRE und die fünf frischen Handhelds fast zur Nebensache. Im GameStar-Talk klären die Experten, ob das die Zukunft des Gaming-PCs ist. Alle Links zum GameStar Podcast und unseren Werbepartnern: https://linktr.ee/gamestarpodcast

Deze aflevering van Einde van de Week Live is ook te bekijken op https://youtube.com/live/fLSU9Jvm3rg Deze talkshow wordt mede mogelijk gemaakt door MSI. Alle meningen in deze video zijn onze eigen. MSI heeft inhoudelijk geen inspraak op de content en zien de video net als jullie hier voor het eerst op de site. Klaar om het weekend te betreden? Wij wel. Ook al gaat dit Hemelvaartweekend nat worden. We gaan ervoor. En dat laten we je ook weten in een nieuwe editie van Einde van de Week Live. Huey, JJ en Koos zitten klaar om bij te praten over alles wat er de afgelopen week toe deed. Een onderwerp dat aan bod komt, is bijvoorbeeld het lek bij Ubisoft waarin veel nieuwe details stonden over Assassin’s Creed Hexe. Wat zijn we allemaal te weten gekomen over dit nieuwe spel? De drie bespreken ook het immense succes van Capcom, de kans op een nieuwe Dead Space en de ballen die Rockstar keer op keer toont. Dit alles en meer zie en hoor je voorbijkomen in de Einde van de Week Live van vrijdag 15 mei 2026. Een nieuwe Assassin’s Creed, Far Cry en Ghost Recon voor eind 2029 Andere onderwerpen die in deze video voorbijkomen, zijn het enorme succes van Subnautica 2, de nieuwe Tomb Raider die nog steeds voor dit jaar op de releaselijst staat en CD Projekt Red, dat zegt geleerd te hebben van de fouten die zij maakten rond hun game Cyberpunk 2077. Ze hebben nu maatregelen getroffen die ervoor moeten zorgen dat er bij The Witcher 4 en de opvolger van hun cybergame niet dezelfde issues voor gaan komen. Koop nu de Cyborg 15 gaming laptop, met een 5070 RTX videokaart erin, voor een zeer scherpe prijs MSI zet ook deze week de Cyborg 15 in de spotlights. Het is namelijk nogal een aanbieding. Deze gaming laptop bezit een 13e generatie Intel Core i7 processor, een NVIDIA GeForce RTX 5070, 16GB RAM intern geheugen, een 1TB SSD, een 4-zone RGB toetsenbord en een 15.6” full HD 144Hz display. Deze laptop met dus een RTX 5070 aan boord is hier tegen een scherpe prijs bij Azerty verkrijgbaar. En dat zal in de nabije toekomst niet vaak meer voorkomen. Timestamps: 00:00:00 Einde van de Week Live van 22 mei 00:02:50 Huishoudelijke mededeling: MSI 00:05:21 Take Two's earnings call was vannacht: dit is het belangrijkste nieuws 00:09:32 Ook meldde zij wat zij tussen nu en eind boekjaar 2029 gaan uitbrengen 00:16:12 Bungie stopt met Destiny: laatste service-update verschijnt op 9 juni 00:21:51 De specs van de Steam Machine zijn bekend 00:29:17 Playground Games zeggen dat de nieuwe Fable gewoon multiplatform blijft 00:31:16 Ubisoft deelt roadmap: Assassin's Creed, Far Cry, Ghost Recon en een AI game op komst 00:32:49 Warhorse Studio’s kondigde twee games aan: Kingdom Come Deliverance 3 en Lord of the Rings RPG 00:38:53 CD Projekt Red zegt te hebben geleerd hebben van de productie van Cyberpunk 2077 00:46:34 XBOX is druk bezig de fans weer aan zich te binden: nieuwe XBOX store open voor business 00:50:12 Launch trailer van 007 First Light (komt uit op 27 mei) 00:53:06 De nieuwe Tomb Raider is nog on track om in de tweede helft van 2026 uit te komen 00:56:10 Subnautica 2 Early Access is een grote hit: 4 miljoen verkochte exemplaren in een week 00:59:33 Project Rabbit Trailer 01:01:45 Wekelijks snufje GTA 6: Bonny en Clyde overleden 23 mei: de ideale datum voor een derde trailer? 01:03:21 Is dit een toffe aanpassing?01:08:00 Dilemma’s... 01:13:48 Man klaagt Nintendo aan omdat hij geen Pokémon professor kan worden (en ja, die baan bestaat echt) 01:16:25 Het is vandaag de dag niet makkelijk meer om op Twitch op te vallen: deze man lukte het wel 01:17:08 Cool of Serious Uncool?Wil je adverteren bij de podcast Gamekings óf misschien bij een andere podcast van ILVY Network? Mail dan naar management@ilvy.com en/of kijk even op de website : https://ilvy.com/podcastSee omnystudio.com/listener for privacy information.

Learn more about GCAD here: https://gabelli.com/ticker/gcad/ Global defense budgets are rising at a pace not seen since the Cold War. With a record $1.5 trillion U.S. defense budget request on the table, NATO allies accelerating procurement to 3.5% of GDP, and ongoing conflict demanding urgent replenishment, the investment case for aerospace & defense has rarely been more compelling. Join us for an expert conversation with the portfolio manager of The Gabelli Commercial Aerospace and Defense ETF, GCAD, Lieutenant Colonel G. Anthony Bancroft, USMCR, a decorated F/A-18 fighter pilot who brings rare operational perspective to defense investing. Moderated by Daniel Gleim, Gabelli Aerospace & Defense Research Analyst based in Zurich. This webinar was recorded live on May 20th, 2026 at 11am ET. Topics Covered: • Why defense spending remains historically low relative to GDP and history • The Iran conflict and its impact on air defense demand and drone economics • Missile production surge: LMT, RTX, LHX, and the supplier ecosystem • How GCAD differs from passive defense ETFs and broad market indexes • Record industry backlogs and what they signal for multi-year revenue visibility • NATO allies' accelerating budgets: a $400B+ incremental spending opportunity • Defense sector correlation to markets and role in portfolio construction 0:00 Tony Bancroft's Background 2:20 GCAD ETF Overview 4:30 Aerospace Industry 12:27 Defense Industry 19:40 Current Conflicts 26:44 How to invest in Aerospace & Defense: GCAD ETF 29:38 Albany International (AIN) - Stock Idea 34:35 RENK - Euro Stock Idea 36:27 Audience Q&A 43:47 Contact Us 44:33 Important Disclosures To learn more about Gabelli Funds' fundamental, research-driven approach to investing, visit https://m.gabelli.com/gtv_cu or email invest@gabelli.com. Connect with Gabelli Funds: • X - https://x.com/InvestGabelli • Instagram - https://www.instagram.com/investgabelli/ • Facebook - https://www.facebook.com/InvestGabelli • LinkedIn - https://www.linkedin.com/company/investgabelli/ http://www.Gabelli.com Invest with Us 1-800-GABELLI (800-422-3554).

Det vigtige for topchefen i tech-selskabet RTX, Henrik Mogensen, er ikke at få ret. Det er derimod at nå frem til den rigtige beslutning. Og derfor forsøger han at skabe et tillidsfuldt rum omkring sig, hvor folk tør sige deres mening.

The future of war has been evolving before our eyes in Ukraine, yet the west still plans to fight the last war. In this special episode, guest host Noah Smith (@noahpinion) and Brandon Anderson sit down with Yaroslav Azhnyuk (@YaroslavAzhnyuk), a serial tech founder who went from building PetCube to founding The Fourth Law, one of the world's most advanced AI-guided drone companies. Over two hours we cover the technology, tactics, and geopolitics of drone warfare, and why the modern battlefield has already left the West behind:* Yaroslav's personal history and the Ukraine war [00:01:04 – 00:14:01]* The modern drone tech stack: why FPV drones are the new god of war, the future of the rifleman, fiber optic vs. AI, five levels of autonomy, and the eight dimensions of the autonomous battlefield [00:14:01 – 01:05:13]* The geopolitics and economics of drones: China's manufacturing advantage, the drone race, Western defense readiness, countermeasures, and why the gap is widening [01:05:13 – 01:58:57]For those looking for Noah Smith's commentary, it really gets going around the 00:51:31 mark.Yaroslav Azhnyuk / The Fourth Law:* X: https://x.com/YaroslavAzhnyuk* LinkedIn: https://www.linkedin.com/in/yaroslavazhnyuk/* The Fourth Law: https://thefourthlaw.aiNoah Smith:* Substack: Noah Smith * X: https://x.com/noahpinionTimestamps00:00:00 Cold Open: China's 4 Billion Drones and the Cameras-to-Explosives Pipeline00:01:04 Introduction: Brandon, Noah Smith, and Yaroslav Azhnyuk00:05:41 From Tech Entrepreneur to Defense: PetCube, Brave One, and the D3 Fund00:10:42 The Ethics of Building Weapons: Dual-Use Technology and the Wolf at the Door00:14:01 The Tech Stack: Cameras, Autonomy Modules, Interceptors, and a Semiconductor Fab00:18:47 Fiber Optic vs. AI: The Radio Horizon Problem and $32/km Cable00:25:32 FPV Drones: The New God of War — 70–80% of Frontline Casualties00:28:28 The Five Levels of Drone Autonomy: From Terminal Guidance to Full Autonomy00:41:37 The Eight Dimensions of the Autonomous Battlefield00:45:32 AI Safety and the Morality of Autonomous Weapons00:51:31 The End of the Rifleman? Noah's 2013 Prediction vs. Battlefield Reality01:05:13 China's Manufacturing Advantage and Western Vulnerabilities01:24:21 Policy Advice for Western Defense: Defense Valley and the Widening Gap01:32:54 The Drone Race: Who's Ahead, Category by Category01:41:57 Countermeasures: Shotguns, Jammers, Lasers, and Fishnets01:58:19 The Wedding and Final Takeaway: Be Prepared for WarTranscriptCold Open: China, FPV Drones, and the New Warning SignYaroslav [00:00:00]: Think about this. Last year, Ukraine produced 4 million FPV drones. Ukraine is not the most industrious nation in the world. China can produce 4 billion of these FPV drones.Noah [00:00:10]: Would you say that right now China is now the supreme conventional military power on Earth, given its ability to manufacture and deploy drones in the quantity and quality that you just described?Yaroslav [00:00:20]: I don't think we have all the information to claim that but we cannot count it out, and that alone should be a big warning sign. As I say, at some point in my life I went from making cameras that fling treats to pets to cameras that fling explosives to the occupiers. So that's the short story. And when you think about what your nation, what your patriots are going through, you realize that's the only morally right thing to do is to fight back, and it is immoral not to fight back, and then the choice becomes very clear.Introduction: Yaroslav Azhnyuk, Petcube, and the Last Flight into KyivBrandon [00:01:04]: Welcome to Latent Space. I'm Brandon. I normally do science podcasts, but today we're going to do something a little bit different. I'm joined by Noah Smith of Noahpinion on Substack and Twitter. And he has lots of interesting things to say about drones. And as a guest, we have Yaroslav Azhnyuk, founder of The Fourth Law and several other, drone-related startups. To get started, it is February 23rd, 2022. You are running a pet startup. You're connecting pets with their owners. Let's go in just a little bit of background. How did you get started in tech, and what were you working on before the Ukrainian war started?Yaroslav [00:01:50]: Good to be here. Thank you. On February 23rd, late in the evening, 11:00 PM Kyiv time, my wife and I landed in Kyiv. Actually, then she was a fiance. We came from Lviv, where we were looking at a church, where our wedding should have taken place. And we got into this cab ride from the airport to our home, and the driver was like, “You crazy. Like, everyone's leaving Kyiv. Why do you come?” We're like, “What? Nothing's going to happen. Dude, chill.” And then obviously, eight minutes later, or eight hours later, the bombs fell in the city. It was quite surreal. We probably landed on the last flight that landed in Kyiv, or one of those last flights. My background, I'm a tech guy. Studied applied mathematics in Kyiv Polytechnics, born and raised in Kyiv. My parents are old PhDs from academia, and grandparents too. Like, everything, from linguistics to nuclear physics. And I'm an entrepreneur, so I've built a bunch of companies. Petcube is the one you were referencing. So I lived in San Francisco 2014 to 2020, building Petcube, which is one of the leading, pet device companies in the world, selling lots of pet cameras. And then, yeah, as I say, at some point in my life I went from making cameras that fling treats to pets to cameras that fling explosives to the occupiers. So that's the short story.February 24th: Leaving Kyiv as the Invasion BeginsNoah [00:03:28]: February 24th, I guess a few hours after you, go to check out your wedding chapel, what do you do?Yaroslav [00:03:37]: We had a plan for this situation. So my parents and family live in Kyiv, and we're like, “Okay, this has actually started. The worst has, come true.” And so we basically packed our belongings and got in the car and spent 17 hours driving west. And that was pretty sure most people in our audience watched at least one apocalyptic movie in their life, so that was exactly like that. Like, felt exactly like that. Missiles are falling. Like, there was smoke in Kyiv. Like, my dad and I went, like, to central part of the cities. It's probably, likeYaroslav [00:04:20]: 800 meters from presidential office, to pick some stuff up at his workplace. Because he's, like, the head of an academic institution, so he had to get some of the things with him. And super surreal. Like, the streets are empty. Like, the gas stations are out of gas. Like, we found some gas station. We didn't have, like, spare canisters with us, so we're like, We figured out, like, the car was diesel, so like, we figured out, if it's diesel, you can actually store it in plastic, canisters, and we bought some window wash for the cars. We poured it out of the canisters, and we poured the diesel into that. Yeah, so it was like that. And then, like, helping friends get out, like my friend and his dog. Like, we found Like, my brother was also, like, riding in a separate car. We found a place for my friend who didn't have a car. It was like, yeah, it was like, totally surreal. And we didn't know of course, and you didn't know this will last for so long. You didn't know whether Ukraine will be able to defend Kyiv. And it was like, yeah, very little information and very little insight into future.From Pet Cameras to Defense Tech: Building for Ukraine and the Free WorldNoah [00:05:42]: What are your thoughts with regards to how do you, defend, Ukraine? So you eventually start building drones Like, what is the process to get from there from where you were building, devices that connect owners with pets to building drones, and what other things did you do to help the war effort in the process?Yaroslav [00:06:07]: It's definitely non-trivial, right? Like, I didn't go, to I didn't get any, like, military education when I was a student. Like, normally, in Ukraine, you would, you would go to like, this military school even if you're getting higher education in any other, sphere. I decided to skip that which is like, an unusual way to go. And I never thought that I will be somehow engaged in a war effort. Like, what is war? Of course, wars are over. It's the end of history. So one thing you got to understand about, like, many Ukrainians and like, I guess, it's also true about most of the people I met here in the US, that your who you are in terms of your nationality is a big part of your identity. So when that gets under attack, it's something deeper than just the country you live in gets under attack, right? And I Day one, I figured I'm going to I'm going to fight back with everything I can, right? But I didn't think on day one that I'm actually going to do, weapons. And a bunch of things. We were reaching out to a number of American, congresspeople and senators, and basically advocating for support of Ukraine, for voting for lend lease, which has happened in May 2022, but didn't actually work as expected. We helped start, Brave One, which is now a very important defense innovation cluster, sort of like a DIU here in the US. We helped start, a fund called D3. It's like, it was started or co-started by Eric Schmidt, former CEO of Google. So a bunch of these odd things, but then eventually I was like, “Okay,”by 2023 it was obvious this thing, A is going to last a lot more time, and B, that the whole world is shifting and that there's going to be a new arms race, that the warfare is redefined by drones as platforms. And for the first time in history, you have a platform that is software defined, that can increase your battlefield capabilities, in a in a step change just overnight. So it's like if you were able to push a software update and get all of your Roman legionnaires a new helmet? That has never been possible before. It's the first time in the history of war this is possible. So all of that and many other things like, supply chain fragilization, and the impact that AI is going to have on all of this all these things have become evident to me in 2023, and it's like, “Okay, I should do what I do best, or what I know how to do best, start a tech company, and sort of leverage the global techno capitalist machine, to provide, defensibility to Ukraine and the free world.” So that's literally the mission of the company, increase defensibility of Ukraine and the free world. And then there was some sort of soul-searching and like, asking yourself. It's like, “Okay, am I Actually, I know nothing about weapons. Am I actually, like, ready to make, things that other people use to kill other bad people?”Yaroslav [00:09:36]: When you think about what your nation, what your Compatriots are going through And think about all the terror of places like Bucha, the occupied cities in the east and south, the abducted children, the raped women, all the economic damage that's being done, and the intention to destroy a whole nation, to genocide the people of Ukraine, you realize that's the only morally right thing to do is to fight back, and it is immoral not to fight back. And then the choice becomes very clear. And look, we're just passing the ammunition. We're not doing the actual job. The actual fighters and defenders and heroes are people in the armed forces. We're just support.The Moral Question: Weapons, Responsibility, and Fighting BackNoah [00:10:33]: I have so many questions. Actually, I know you seem to have a question. Do you want to ask anything?Yaroslav [00:10:38]: No, I'm just listening. Go ahead.Noah [00:10:40]: I do want to talk about, some of let's say, the moral issues, like you just said. You endYaroslav [00:10:50]: I think there are no issues there.Yaroslav [00:10:52]: What would an example of a moral question be in this case?Noah [00:10:55]: No, I mean Okay. As you just said, you are creating the tools, but others are using them.Noah [00:11:05]: I was maybe thinking of having this conversation later, but one of the questions is like, is it actually you are going to be building them for your homeland, which you are building it for your homeland, which is I think, very a strong morally defensible position, but this technology is not going to stay with you, right?Noah [00:11:26]: This you will probably be selling these to other people Yeah. So the future is really where the moral issues may come into playYaroslav [00:11:38]: The this question becomes, easier and more complete if we ask this not about a particular technology or particular weapon, if we think that this question actually applies to any kind of technology Right? So -Knife or fire. You can use knife to do surgery and save people's lives, or you can use it as a weapon to take people's lives.Noah [00:12:06]: Cut tomatoes, too.Yaroslav [00:12:08]: Cut tomatoes too.Noah [00:12:09]: Yes, knife.Yaroslav [00:12:09]: That's helpful.Noah [00:12:10]: In Japan, sword and knife, they, call the same word.Yaroslav [00:12:14]: It's like, it's with any technology. Large language models, right? Look at how powerful they are and yet they're available to anyone in North Korea or in Russia.Yaroslav [00:12:29]: That's one side of the argument. The other side is As a maker, what is your responsibility for how the tools you're creating, will be used? There's definitely some responsibility, right? Then How should the decision process look like? Should you, like, try to calculate all the possible scenarios before starting to work on something? Or do you create something that is needed now to save people's lives, and then think about, addressing the unwanted edge cases later? In ideal world where there's like, or okay, it's not ideal world. In a mythical world where there is some one governing party and it gets to decide everything, and there is no other country, that can, decide on their own, you could say, “Well, we need to calculate for all the consequences, and only then, maybe build this building, by replacing this park because, maybe we need this park in the city,”right? So that kind of situation. But when you're in a situation where you're in a forest, in front of a wolf, you first going to deal with the wolf that wants to eat you, and then you're going to go consult Greenpeace. So that's kind of situation that Ukraine is in.The Fourth Law, Odd Systems, and Ukraine's Drone StackNoah [00:13:59]: Enough. Because this is a tech podcast, I did want to spend some time talking about, sort of the tech in that you've developed and what you've been working on. So can you explain, I guess, first of all, like, the problem that you were trying to solve from a technical standpoint? And I think, and then maybe, like, go into some of the solutions and some of the design process that led you from designing, little laser-guided, guiding lasers with a with an iPhone versus Having drones.Yaroslav [00:14:34]: Like, it so happened, that my partners and I, we sort of So I started one company called The Fourth Law, and its goal was and is to Make, massively scalable on-drone autonomy. And then In parallel with that together with my, Petcube co-founders, partners, and friends, we started another company called Odd Systems Which, was focused on making thermal cameras. Cameras, thermal cameras are seeing thermal radiation and are used to see at night. And we're now sort of those companies are getting closer and closer together and we're probably going to merge them. And this group of companies is currently the leading, team in on-drone AI and thermal imaging on the Ukrainian battlefield, and Likely one of the leading, if not the leading in the world. So We have these, like, three sort of business units, which are cameras, drone autonomy, and drones. So the cameras and drone autonomy sell daytime and nighttime cameras and different types of drone autonomous modules to other drone manufacturers, over 200 drone manufacturers in Ukraine. And then the UAV, business unit sells the drones themselves to the armed forces of Ukraine, Ukrainian government. And there are different types of drones. Those are sort of front strike, as we call them, so those are sort of FPV strike drones and the bombers, and then interceptors. And there are different kinds of interceptors. We do Shahed interceptors and we do ISR interceptors. We don't do the deep strike-FPV Drones, Interceptors, and Battery-Powered WarfareNoah [00:16:32]: What's an ISR interceptor?Yaroslav [00:16:33]: ISR is stands for intelligence, surveillance, reconnaissance, and those are basically drones which are which, Russians are using to watch over positions and then communicate where, the targets are coming.Noah [00:16:48]: It's a reconnaissance.Yaroslav [00:16:48]: That's, the ISR is sort of a classical term for a for a reconnaissance drone.Noah [00:16:53]: Are all of these battery-powered drones that you just described? ‘Cause I know that the sort of deep strike drones still have, like Some sort ofYaroslav [00:17:01]: Internal combustion engine?Noah [00:17:02]: Internal combustion engine. Are all the things you're talking about battery-powered?Yaroslav [00:17:06]: What we're working on is all battery-powered, right? We don't do the deep strikes, right? And then in terms of autonomy-Noah [00:17:12]: You can catch a Shahed with a battery-powered thing. It's not Fast to catch.Yaroslav [00:17:17]: No, absolutely. Look, Shahed interceptor, like ours, it's called Zero, it goes up to 326 kilometers per hour.Noah [00:17:26]: For reference, how fast is a Shahed?Yaroslav [00:17:28]: Eight, like, in internal phase it could be 280, but in cruise phase it's, like, 220-ish.Yaroslav [00:17:36]: Yeah. And sorry, I'm not like you can convert that into miles if you're interested.Noah [00:17:41]: No, that's fine.Noah [00:17:41]: Multiply by two thirds or point six or something.Yaroslav [00:17:44]: That's easy. Yeah, I was saying that for autonomy modules, right, we, -We make systems, autonomous systems for frontline, for interceptors and some for deep strikes as well, and then different levels of autonomy. So from terminal guidance, which is like lasts 500 meters, give or take, to autonomous bombing, to autonomous target detection, to autonomous navigation and all of that across day and night, different terrains, different time of the year, different platforms like quadcopters and fixed wing, and maybe some other platforms. So it's quite a wide variety of products. We also have like our own simulation. We have our own training school for the war fighters. And we're about to start construction of two, semiconductor plants to make, sensors for thermal cameras. So that's super exciting for me as a computer science guy is Doing semiconductors. Super cool.Noah [00:18:49]: Like in terms of kind of core drone technologies, you basically are one is an FPV replacement without fiber optics, and the other isYaroslav [00:18:59]: YouNoah [00:18:59]: Signal tracking with interceptorsYaroslav [00:19:00]: With or without fiber optics. Fiber optics Is just like, sort of a communication module.Yaroslav [00:19:05]: You can, you can use classical analog, video link and radio link. Those would be two separate radios. You can do digital, or you can do fiber optic, and then fiber optic Has its own advantages but also adds weight and decreases, the distance and decreases, how fast you can, sort of turn and With a drone. Yeah.Noah [00:19:33]: Do you need AI for fiber optic drones?Yaroslav [00:19:36]: Like you can use AI for fiber optic drones. AI replaces a human, right? Fiber optic is making your communication link more resilient. So those are slightly different goals. Like if you want, you can have, AI controlling hundreds of fiber optic drones instead of having 100 operators for each.Fiber Optics, Radio Horizons, and Terminal GuidanceNoah [00:20:03]: I guess I thought that the key reason that people moved to fiber optic drones was for like electronic, countermeasures. Or I guess to counter those.Yaroslav [00:20:13]: I think that's a correct assessment from sort of a public awareness standpoint. In practice it's somewhat more difficult Because besides electronic countermeasures, you have these issues of a radio horizon For FPV drones, which means that asYaroslav [00:20:36]: I believe Earth is round Some people disagree. But basically if you fly a drone and you have a land station over here and a drone flying over hereYaroslav [00:20:49]: If your drone is flying high, you have good direct radio visibility. If your drone goes low, and usually, Russian infantry and vehicles, they're on the ground and you want to hit them, you need to go low. Lower you go, maybe you'll get behind a hill or behind a forest, and if you're far enough, you'll just get behind the curvature of the earth. You get into what's called a radio shadow. And then That is a real bummer because for the last, be it 60 or 20 meters, you won't be able to see anything and it will be very difficult to hit the target. So to counter that what-- And then the distances that these FPV drones, act on they're, they can be quite large. So for example, here in the US there was this drone dominance program competition, and in drone dominance the furthest distance was about 10 kilometers.Noah [00:21:44]: What was drone dominance? What was that competition?Yaroslav [00:21:47]: Drone, the drone dominance is a is a program started, by the US government, to accelerate the development of drone technology here in the US.Noah [00:21:57]: Got it. And the longest range thing they were using was 10 kilometers.Yaroslav [00:22:00]: Was 10 kilometers, right. In Ukraine, like if your drone doesn't fly at least 20, 25, it just, no one's interested in it, and the usual hits are happening. It was like, okay, many hits are happening between 30 and 40 kilometers, and that's what expected from a regular 10-inch, FPV drone. So at that distance, even at altitudes of like 60 to 100 meters, you might start losing, the link. So some of the earlier AI technology that was fielded in FPV drone was this terminal guidance technology. That was the first product that we ever, launched that helped you as an operator, once you see the target from two, three, 500 meters, you lock onto the target and then, it just, drives the drone towards the target no matter what, even after you lost the visual connection. So optic fiber solves that. However, if you want to go like 20 kilometers with optic fiber, that will add an extra three kilos, of useful weight to your drone. SoNoah [00:23:12]: ‘Cause the cable that you have to unspool as you go weighs.Noah [00:23:15]: It is heavy.Yaroslav [00:23:15]: At first, like the spool is about 800 grams, so a bit less than a kilo, and then, and then think about 10, 10 kilometer optic fiber is another kilo, something like that. That takes away from your useful mass and then now you have like, you need a 15-inch drone and it can only carry maybe one or two kilos of explosives if you want to go, 20 kilometers. If you want to go to 30 or 40, like 30 is probably max. 40 is like very problem problematic on optic fiber. And then the problem with optic fiber is it's actually getting super expensive. So and why? Because of all the data centers for AI. That's literally the same optic fiber-Noah [00:24:01]: We're running out of centersYaroslav [00:24:02]: That's being used there.Yaroslav [00:24:02]: Like when Ukrainians and Russians come to Chinese factories to buy the optic fiber, they're like, “We're out. We sold it out to the Americans.”? That's the craziest thing. So optic fiber went up in price from like, $4 per, kilometer to like, $32 per kilometer in a few months in the beginning of this year. And I'veBrandon [00:24:26]: Claude Code is stopping the Russian drone effort here.Yaroslav [00:24:30]: Ukrainian as well. Yeah.Brandon [00:24:31]: Ukrainian. But I read somewhere that the Russians had grown more dependent on fiber optic drones relative to the Ukrainians, and that's one reason why the Ukrainians have sort of regained the initiative in drones recently.Brandon [00:24:42]: How accurate's that?Yaroslav [00:24:43]: The Russians were the first ones to scale that. I think by as of now, Ukraine has caught up. I think, like, as of maybe three months ago, Ukraine is mostly caught up on fiber optic. Yeah.Brandon [00:24:57]: What percent of damage would you say is in terms of FPV drone damage would you say is now fiber optic versus, like autonomous?FPVs as the New God of War: Tanks, Artillery, and Cost per KillYaroslav [00:25:07]: For our, for our audience, I actually, I cannot answer that question. Like, it's like I know the answer, but I would not disclose that. But for our audience, I think another interesting fact is out of all the casualties on the front line Between 70 and 80% are done by FPV drones.Brandon [00:25:30]: FPV drones are the new weapon of universal weapon of warfare.Yaroslav [00:25:34]: It'sBrandon [00:25:35]: Land warfare, anywayYaroslav [00:25:35]: They used to say that artillery is a god of war because artillery used to cause, like 80% of casualties, and now On that ranking-Brandon [00:25:46]: FPVYaroslav [00:25:47]: FPV drones rule.Brandon [00:25:48]: FPV drones are the god of war.Yaroslav [00:25:51]: Sort of. Dethroned artillery. But it's not to say that artillery is not useful, is not needed. Like, all of these systems are needed. Maybe except cavalry, although Russians still use it. I know, have you seen the videos of Russians using mules and horses?Brandon [00:26:09]: What is the usefulness-Yaroslav [00:26:10]: It'Brandon [00:26:10]: Of a tank in the in the modern-Yaroslav [00:26:11]: That's where we need Greenpeace to say a word, but they're silent. Yeah.Brandon [00:26:15]: What's the use of a tank on the modern battlefield?Yaroslav [00:26:21]: It's diminishing.Brandon [00:26:22]: Diminishing.Yaroslav [00:26:22]: However, I think there might be technologies which will, revive the tank. Look, tank still provides you armor, and armor is important. Like, you still need to armor and firepower, right? Like, you can be an armor personal carrier that provides you, armor. The challenge that currently exists is armor is not very well protected against incoming drones. However, there are ways to do to protect it. We were previously talking about this before the podcast. The CEO of Rheinmetall, recently sort of ridiculed, Ukrainian drone industry, saying that like, there is nothing interesting there, no real innovation, no to stand Compared to like, Rheinmetall or Boeing, and it's all made by housewives. There was like, obviously a ton of memes about this people ridiculing the CEO of Rheinmetall. And one of the best quotes, I heard on this topic is from my friend, Alexey Babenko, who's, the head of and founder of VIARI Drone, which is one of the largest manufacturers of FPV drones. They're our partner. They're using our autonomy. So he said that the drones we manufacture in one day will be more than enough to destroy all the tanks Rheinmetall manufactures in a year.Yaroslav [00:27:52]: Then, yeah, cost-wise, of course, a drone is like, $500 and a Rheinmetall tank is what, probably 5 million-ish or maybe more.Brandon [00:28:00]: Don't mess with those housewives.Yaroslav [00:28:03]: Drone wives.Brandon [00:28:04]: Drone wives.Yaroslav [00:28:06]: That's it.Noah [00:28:06]: There's a classic saying that everyone always fights the last war.Noah [00:28:12]: Yet do How did So from your standpoint, how did we get to the point where tanks became irrelevant in at least for now In a matter of just a few years?Yaroslav [00:28:24]: Look, I think it's the same way, how do we get to the point that calculators become irrelevant?Yaroslav [00:28:31]: Now we have iPhones. Like, why would you need a calculator? Technology progresses and its influence grows non-linearly. It's all exponential. So I can tell you that full autonomy, when you put it on a drone Look, so if you, if you think about a tank and a like, it's not a direct comparison, but even, like, a drone and a artillery shell or like, sort of cost per kill, an artillery shell for 155 caliber, which is a standard NATO caliber Currently market price is about $4,000 per piece. So compare that to say, $400 per drone. That's 10 times more expensive. Account for the amortization of the artillery gun and for how vulnerable it is and what is the sort of tactical, capabilities it gives you as compared to a drone. You'll figure out that an FPV drone is maybe three orders of magnitude, more versatile, more useful, more capable than artillery and many of than a classic artillery. Many of Because there are different types of artillery. Not just, like, one 155. You have mortars, you have all that. But give or take, roughly three orders of magnitude maybe. Again, it doesn't have that firepower. It's not one-to-one comparison still.Yaroslav [00:29:53]: Now, take that FPV drone. When you put full autonomy on that FPV drone, which can be not very expensive, like systems that we're, producing are like, in hundreds of dollars of pure bombFull Autonomy: From Human Pilots to Smartphone-Directed Drone MissionsNoah [00:30:06]: Just interrupt. You said full autonomy Just a second ago you were saying that the autonomy here is guidance, right? It's not decision-making.Yaroslav [00:30:14]: No, I was I was saying that's the f-First and sort of easiest pieces of autonomy that was fielded by us. But if you, if you add full autonomy to a droneBrandon [00:30:24]: He, I think he's asking what does it can you, for the listeners, can you explain What the term full autonomy means?Yaroslav [00:30:29]: Basically, I think a good way to think about an FPV drone is like an iPhone of warfare. It's, like, very inexpensive, very mass producible, very versatile. You don't need a bunch of other things when you have a iPhone in your pocket. You don't have, need an MP3 player, you don't need a calculator, don't need other things. All right? So FPV drone is an iPhone. Or like, okay, Apple please don't sue me, is a smartphone. And then, when you add autonomy to it sort of becomes like Uber or ride sharing. Okay? So what it means is instead of actually being a trained pilot who has this complex remote controller device which requires a couple months of training to actually pilot the drone, and then having to pilot it for 30 minutes, flying towards the target, et cetera, et cetera, now you basically, you have your smartphone, you have a drone, you pick your smartphone, you say, “We are here. The bad guys are here. Go and get them.” And the drone goes up, flies in a given direction, localizes itself on the map, finds the dedicated area where they, the bad guys are supposed to be sees the bad guys, bombs them, return, like, watches, so does a damage assessment, returns back, sits down, and then you can pick it up and watch the video if you didn't have the radio link, right?Noah [00:31:59]: That's a bomber drone.Yaroslav [00:32:00]: That's full autonomy for a bomber drone, right?Noah [00:32:03]: You're saying that no human decision is made in this entire process?Brandon [00:32:06]: That's not, that's not what he's saying.Yaroslav [00:32:07]: A human decision was made at the beginning of the process-Noah [00:32:09]: I get it. I get itYaroslav [00:32:09]: The same way as you would fire an artillery.Yaroslav [00:32:12]: When you fire an artillery, you don't stop at like, 500 meters away from a target and ask it whether, you want to strike or not. That's exactly, a human decision is always made at some point. So when you do that's full autonomy, and such full autonomy is happening as we speak. And such full autonomy increases the capabilities of an FPV drone, which is already, like, three orders more powerful than an artillery shell. Full autonomy increases its capabilities by four orders of magnitude because now you can have 100 times as many people who can use it, because you don't need to train those people, and this is important. You can have 10 times, mission success rate, and you can have 10 times utility per drone because now instead of being one-way kamikaze, it's, it can be a bomber.Brandon [00:33:05]: Now wait, let's, you said 10 times mission success rate, which means that fully autonomous bomber drones succeed in their missions 10 times more often than human piloted bomber drones do. That's an important thing to know.Noah [00:33:17]: Maybe, to push back onBrandon [00:33:19]: They're super, they're superhuman. They're, they' 10X superhuman.Yaroslav [00:33:22]: They're not vulnerable to electronic warfare. They don't care about the radio horizon. They don't lose track during navigation. They are not susceptible to human error when, an artillery shell or other drone blows up besides you and you're like, “Hell no,”like, “I'm getting out of here.” Right? That doesn't happen to an autonomous drone. Like, all of those things. Like, we have, like, one of the brigades that's using our drones with just first level autonomy They literally said that their success rates-Brandon [00:33:53]: What's first level autonomy?Yaroslav [00:33:54]: First level autonomy is just the terminal guidance.Yaroslav [00:33:57]: By the way, we have video of that. We can watch that.Brandon [00:33:59]: Terminal guidance means a human gets it nearby and then the AI takes over.Yaroslav [00:34:03]: The human flies it all the way, like 30 kilometers towards the target, and obviously the target was probably given to that human by someone who's flying some ISR drone, some reconnaissance drone, right? So all the way to the target, and once you see the target from a distance of 500 meters, you do target lock, and from there drone flies autonomous. So just that feature alone, it has increased the guy's, his call sign is Grom, so it has increased his, mission success rate, like precision of mission, yeah, mission success rate from 20% to 71%, and it also increased his kill zone from three kilometers to 10 kilometers, which means there's certain area around the front line which is designated kill zone. Whenever enemy goes into that area, it's almost guaranteed to be to be destroyed by a drone. And then obviously the drones are not launched from like, the zero line. They're usually launched from like, minus 10 kilometer-Mission Success, Failure Modes, and the Five Levels of AutonomyBrandon [00:35:03]: What is a zero line?Yaroslav [00:35:05]: Zero line is sort of an imaginary line of control, of two conflicting forces.Brandon [00:35:14]: It's important to explain these things to a lot of the listeners who areYaroslav [00:35:17]: Thank you for askingBrandon [00:35:18]: Familiar with warfare.Noah [00:35:20]: Myself.Noah [00:35:20]: I'm one of those listeners.Brandon [00:35:20]: You said that level one autonomy, in other words just terminal guidance, just, like, human gets it to the finish line and then it goes over the finish line, increases mission success from 20 something percent to 71%, or something like that.Yaroslav [00:35:33]: Increases the kill zoneBrandon [00:35:34]: Increases the kill zoneYaroslav [00:35:34]: Three kilometers to 10 kilometers.Brandon [00:35:36]: Got it.Yaroslav [00:35:36]: On both parameters-Brandon [00:35:37]: What is full autonomy, dude? AndNoah [00:35:38]: Actually on real quick, can we define mission success and like, maybe in a way, what are the failure modes of missions?Brandon [00:35:44]: I have a guess what mission success is.Noah [00:35:46]: But I couldBrandon [00:35:47]: Get ‘em.Yaroslav [00:35:49]: No, but that's a very good question, in fact, because, even if you fly into the target, well, first the target can be damaged or destroyed. Those are two different modes. Then there can be different targets. A sole infantryman is one kind of target. A dugout where supposed there are some, enemies there is another kind of target, and a some mechanical equipment is another type of target. Radio emitting equipment, which, like, often, like, the targets that the military want to get more than anything else is the some enemy radio tower or something like that or some small radio dish that really makes life difficult in that area, in that combat area. So those are different targets, right? It can be destroyed, can be damaged.Then sometimes, the drone hits but doesn't explode. Like, that happens. And then, there are other failure modes. You didn't even reach the target because you were A jammed by electronic warfare; B, you lost the control over drone because of the radio horizon; C, you were jammed by a different type of electronic warfare that happens way before You hit the target area. It's, impacting your, video receiver. So like jamming on video or jamming on control are two different types of jamming. Then something malfunctioned on a drone, just a mechanical malfunction, maybe like a motor broke or like, whatever. So all of those are different failure modes. Yeah, or maybe you got lost, you're navigate navigating to your, to your target. That happens, too.Noah [00:37:41]: The Level one autonomy, basically you manage to point in a direction.Noah [00:37:49]: You go there, and then the last mile The drone taking over.Yaroslav [00:37:52]: We define this like, I define that but it sort of got picked up by the industry. We define five levels of autonomy. So level one is terminal guidance. It's what we just discussed. Level two is bombing. Level three is autonomous target detection and engagement decision. Level four is autonomous navigation. And level five is autonomous takeoff and landing.Noah [00:38:15]: Those are good things to knowYaroslav [00:38:16]: Those are five levels of autonomy. Now, if youNoah [00:38:19]: I have a question for you.Yaroslav [00:38:19]: Sorry. Like, let me finish withNoah [00:38:21]: SorryYaroslav [00:38:21]: Theoretical part.Noah [00:38:23]: What is Tesla running at right now?Yaroslav [00:38:25]: Tesla?Noah [00:38:25]: No, sorry.Yaroslav [00:38:26]: That's very good point. Like, it's exactly, it was inspired by the levels of self-driving autonomy.Noah [00:38:32]: Waymo's level five, right?Noah [00:38:35]: You just tell it where you want to go, it picks you up, and then you go there.Yaroslav [00:38:36]: I think, like, if you, if you look at the classic definitions of self-driving cars, Waymo is still, like, level four because it still requires even remote, but still, like, human control. It's like if Waymo gets in trouble, there is an operator who takes over and resolves this. So that would still be a level four. It doesn't map directly, but it's also five levels.Brandon [00:38:58]: Can I, can I interject a question here? In terms of an FPV drone that's like a suicide drone that'll just blow itself up killing something, how do what it hit? Like, does it, just transmit back, or do you sort of like, lose track of it and hope it hit? Like, what happens to that?Yaroslav [00:39:16]: That's a great question. SoBrandon [00:39:18]: You need another droneYaroslav [00:39:19]: Like, the current battlefield in Ukraine is saturated with different types of drones. So obviously you have all the FPV drones and last year alone, Ukraine manufactured about 4 million of these, and then Russia's maybe, like, 20% less than that. And for this year, the publicly voiced target was 7 million on Ukrainian side. So it's, like, serious numbers. We're getting in serious numbers here. And then besides those, there are different, reconnaissance drones, ISR as we call them, and there are sort of tactical level ISR where we, both Ukrainians and Russians usually use, Mavic, drone by DJI. And then there are a bunch of locally produced drones, which are sort of fixed wing drones that can stay in the air for much longer than Mavic, maybe, like, half an hour. And then, there are drones that can stay for many hours or even up to a day. And those drones have, are more expensive, have more expensive cameras, et cetera, et cetera. We hunt those drones that Russians launch. The Russians hunt our drones, and so on. But ideally, when you, are a group of soldiers operating an FPV, you'll have someone in your, company, or someone in your platoon who has an ISR asset that will do target designation for you. They'll say, “Oh, like, there's a Russian vehicle over there. Go and get him.”and you go there, you get it, and they're like, “Okay, confirmed.”Battlefield Surveillance and the Eight Dimensions of AutonomyBrandon [00:40:57]: Those guys are watching. They have their own drones in the sky.Yaroslav [00:40:59]: Target destroyed. They have, like, a carousel of drones because One Mavic cannot stay more than 30 minutes. ItBrandon [00:41:06]: They're constantly surveilling the battlefield.Yaroslav [00:41:07]: Almost every spot on the battlefield.Yaroslav [00:41:11]: It's not always the case. Sometimes you will not have a surveillance asset, so then you would launch another FPV just to confirm that there was a hit. Then if you see there was a hit and you're not sure if it completely destroyed, you maybe hit again for good measure.Brandon [00:41:26]: You double tap.Yaroslav [00:41:28]: That's how it works. But I was about to give you another sort of piece of taxonomy. So you have five levels of autonomy, right? Then you have sort of eight dimensions of autonomous battlefield. So what is eight dimensions? It's crucial to understand how autonomy evolves in a modern, battlefield environment. So dimension number one is level of autonomy. What are the capabilities that your asset has? Dimension number two is the platform you're operating on. So it can be a quadcopter, a fixed wing drone, different types of maybe, like, a long range drone or short range drone, but it can also be a missile. You can have autonomy even on an artillery shell or a ground vehicle or a sea vehicle. So all of those are different platforms. Level three would be domain. So it's ground to ground or ground to air as an intersection, or ground to sea or sea to air. They're all, like, all the nuances with different domains. Then level four, would be higher levels of autonomy, such as swarming, drone carriers, drone nests, et cetera.Brandon [00:42:39]: Now when you're saying level, you're talking about dimensions, not about-Yaroslav [00:42:42]: Sorry. YeahBrandon [00:42:43]: Autonomy levels. So dimension four.Yaroslav [00:42:43]: The dimension. Yeah, I used to say I was supposed to say dimension. I say dimension because each of them works with another, right? So you might have, like third level autonomy, fixed wing drone operating in land to air, and stuff like that right? And then operating in a swarm or operating from a nest. Right? Then you have, sort of dimension number five is environment. So is it day or night? Is it summer or winter? Is it, humid, cold, dry? What kind of target is it? Is your target hiding in a forest, or is it, behind a hill or within buildings? So all of that is environment. Then you have, dimension number six is command and control. How are you dealing with or like, tens of thousands of those assets around the battlefield? How are you coordinating that on the higher levels of command? How are you collecting data? All that.Yaroslav [00:43:44]: Dimension number seven would be infrastructure, so things like simulation, data collection tools, security, deployment mechanisms, et cetera. So all those systems have to be developed separately and integrate with all the others. And finally, dimension number eight is sort of distribution. Have you deployed 100 of these systems or 100,000 of these systems? Because those are two very different ballgames. So that now gives you a more broad overview of how autonomy propagates across the battle space.Targeting, Human Responsibility, and Rules of EngagementNoah [00:44:23]: As someone who has done machine learning and had gone out of distribution and had things, go horribly wrong, you were talking several of these, kind of axes of thinking about drone warfare seem like they could be very susceptible to some sort of distribution shift if you start making things autonomous.Yaroslav [00:44:41]: Like what?Noah [00:44:41]: I mean Well, first ofYaroslav [00:44:43]: If the I'm very interested Sort of sort of kinds of scenarios that you're thinking about.Noah [00:44:48]: Like the most obvious one is you, if I assume these are computer vision guided systems for at least the last mile, how do you ensure that oh, well, like you now have some fog roll in or something, and you, the drones just attack the wrong thing? Or maybe, it probably will not turn around and fly back and attack you, but youYaroslav [00:45:10]: Same, the same, the same question, how do you ensure that your mortar fire hits the right thing? Well, it's like mortar fire, give or take half a kilometer could be plus or minus. So maybe you fire one, and then you fire another. So drones are actually, much better in being precise in those scenarios. And I think, to your point, I think five to 10 years from now it will be immoral to use weapons without AI.Yaroslav [00:45:44]: ‘Cause weapons without AI will be more likely to cause, collateral damage or unwanted damage. Same way, it will be immoral to drive your own car manually on a public road because it's more likely to cause, unwanted damage.Noah [00:46:02]: Wow, I never considered that mightBrandon [00:46:04]: Really? That's definitely coming.Yaroslav [00:46:07]: Anyway.Brandon [00:46:07]: No, but that' I don't know, it's an obvious, an obvious thought. I agree with you.Brandon [00:46:12]: I, No, they, obviously they're not going to let you drive once most of the cars on the road are autonomous.Noah [00:46:17]: No, that one, don't I believe.Yaroslav [00:46:19]: No, I think you were you were talking about drones, right?Brandon [00:46:21]: The drones, right. Cool.Yaroslav [00:46:22]: The weapons, right?Brandon [00:46:23]: Friendly fire and collateral damage and stuff like that is all minimized with AI.Brandon [00:46:27]: Here's my question. Take all let's go to level six autonomy. Let's take all of the target selection. Let's take all the battlefield data, integrate it into one big AI, and have that big AI basically be in command of the battlefield And agentically do target selection.Yaroslav [00:46:44]: Be the general, right?Brandon [00:46:44]: It's a general. It's, you've cut humans out of the loop except maybe as dexterous robots, repairing drones and fastening things to drones or maybe something like that because you don't have those robots yet. How soon are we there? AI general.Yaroslav [00:46:58]: The most important thing to ask ourselves is who will be faster to that us or our adversaries?Brandon [00:47:07]: I assume us, but how fast will we be to that? I hope us.Yaroslav [00:47:11]: I hope so too.Brandon [00:47:12]: How fast can we Like when are we looking at that in terms of like horizons years?Yaroslav [00:47:18]: Like technically, it could be done now. The question is of course, there's, some engineering work to be done. The bigger challenge is deployment. Right? So okay, technically Like operation in Iran, right? They, the publicly, it was claimed that I think Palantir system was used for target designation, et cetera, et cetera. So it is not exactly as you say, the AI makes all the decisions, but basically AI goes through all the data you have, gives you these 1,027 different targets and says, “You-- To confirm, please press Okay.” And you look at the targets and you're like, “Yeah, sounds right. Press Okay.”so that's, I think that's where we are now already, or we were a couple weeks ago as we're recording this on April 10th. Another question is how massively deployable it is. Is it, like, every decision being made like that or is it, like, just some of the decisions made like that? And then different levels of command and control. There you have, like, the platoon, the company level, the battalion, et cetera, et cetera, et cetera. But the tricky thing here when we get into that territory, the tricky thing is If your enemy is getting advantage of being Thousand times faster than yourself by deploying such systems What do you do?Yaroslav [00:49:10]: You got to-Brandon [00:49:12]: The if the enemy is a thousand times faster than you at deploying those systems?Yaroslav [00:49:16]: Like, if enemy starts deploying level six autonomy, as you call And you have not started doingBrandon [00:49:22]: You're in troubleYaroslav [00:49:23]: Yes, exactly. So you have to catch up. So my point is that it is very important to think about the safety of these systems, but that thinking should not slow you down in developing them because they are critical for your existential, survival, right? And like, one person who doesn't think, doesn't get to think about the ethics of the war is a dead person. That person surely doesn't get to think about that.Brandon [00:49:52]: What would be the safety risk of such a system?Yaroslav [00:49:55]: Of course-Brandon [00:49:56]: Friendly fire?Yaroslav [00:49:56]: Just wrong decisions, right?Brandon [00:49:59]: I see.Yaroslav [00:49:59]: Maybe, these decisions-AI Command Decisions, Dead Zones, and Complex BattlefieldsBrandon [00:50:06]: Skynet AI decides it's going to useYaroslav [00:50:08]: No, these-Brandon [00:50:08]: Drone army to kill usYaroslav [00:50:09]: Decisions will not only be made about drones. They are likely to made about what the humans should do on your side as well. Then obviously some environments are more like Ukrainian-Russian war, where you haveBrandon [00:50:26]: It will have to choose to risk lives. It will have to choose to sacrifice human lives-Yaroslav [00:50:28]: Of courseBrandon [00:50:29]: On your side.Yaroslav [00:50:29]: Of course. And then some environments are just, like, dead, like, dead zones and there are no civilians there, or virtually no civilians close to the front line because, like, super dangerous. Everyone has evacuated from there. But there are other environments which are more like, okay, there's a counterterrorist operation. There's, like, a group of terrorists or a group of civilians. Or like, it's like the recent operations in Iran, I imagine that the US and Israeli forces do not want to harm civilians. They only targeted the military targets there, right? So in those situations, it's a different level of responsibility for that decision-making as well. And then there is just such a big variety of those military missions, and I'm not even, like, well-informed or well-educated in military science to tell you about all those scenarios. We would need to put some general besides me, and maybe a Ukraine general and American general would have told you very different stories about these things.Brandon [00:51:34]: Got it. Can I ask a few more questions? All right. So in 2013, I wrote one of my first, paid articles ever was about how the era of drones will change human society. I was just sitting around bored thinking about things.Yaroslav [00:51:54]: You were way ahead of your time.Brandon [00:51:55]: I said, I said, “The following will happen.”Yaroslav [00:51:57]: It's, this article is real. I've read it.Yaroslav [00:51:58]: It's actually-Brandon [00:51:59]: I said small autonomous, suicide drones, will cleanse the battlefield of human infantry. Human infantry will not be able to stand against swarms of AI-powered, suicide drones. That was I didn't even know about, like, AlexNet at the time, I think.Yaroslav [00:52:19]: You're just an avid sci-fi reader.Brandon [00:52:23]: I'm an avid sci-fi reader, but also, like, it's not Like, there will be a way to do that. It's a it's a nonlinear multidimensional search problem, and you get enough compute, you'll find some search algorithm that will get you there. And soBrandon [00:52:38]: I, yeah, I think that one sentence describes the bitter lesson right there.Brandon [00:52:41]: It's just like it's a multidimensional search space. You search it somehow. I don't know. Figure out some get a grad student-Yaroslav [00:52:47]: Sooner or laterBrandon [00:52:47]: To make a search algorithm.Brandon [00:52:48]: It's not that hard. Anyway, so but then, but I guess the point is The point is that human infantry on the battlefield will be will be gone at the end. I wrote that in 2013. Many people on social media laughed at me for that called me hysterical, said things like, “Electronic warfare will knock all the drones out of the sky.”like, “You need humans to hold ground.”that's something you still hear from a lot of people on social media today. I feel that this article that I've written has never been directionally wrong. It has gotten more and more right steadily over time, and that we're very reading the battlefield reports from Ukraine, where, human infantry are basically guy, like a few guys hiding in dugouts for months, and I'm not sure what they're doing.Yaroslav [00:53:35]: That's on Ukraine's side. On the Russian side, that's just like a zerg rush.Brandon [00:53:38]: The zerg rush, and then they just die. Then, but they have some guys in dugouts too, right? Like hiding in dugouts for months.Yaroslav [00:53:45]: They have. Yeah.Brandon [00:53:45]: Like, but that like, what are those guys doing in the dugouts? Are providing, like, frontline, like, reconnaissance? Like, what are they doing?Yaroslav [00:53:54]: If there is a guy in a dugout with some bullets and automatic weapon, the other guy cannot come and take the that dugout. That'Brandon [00:54:07]: I seeYaroslav [00:54:08]: They are they're establishing control over territory.Brandon [00:54:10]: I see. So that is so there still is a use for human infantry on the battlefield as of today.Yaroslav [00:54:15]: LikeBrandon [00:54:15]: How long will that last?Yaroslav [00:54:17]: I think it will last for a while. This is funny. There's this whole Layer of the modern culture, a modern Ukraine culture built around the war-related stuff. So there is this -Punk rock band, that is called SZC, I guess in English that would be. Which stands short for like a deserter or something like that. So anyhow, this band has a song titled “2030.” It's basically about the year 2030, and the war still goes on as like the whatever, third world war or whatever. And they basically, they, sang about the AI and like cyborgs and everything, but the simple infantry is still needed, and we're still, like, getting cold in those dugouts, and we're still doing our job. That's sort of the theme of the song. And it seems like that's actually what's going to happen. There areGround Robots, Simulation, and the Limits of World ModelsBrandon [00:55:30]: Ground robots will not replace humans in the dugouts soon.Yaroslav [00:55:34]: I'm very much interested in following the whole humanoid robot theme andBrandon [00:55:39]: What about like a dog robot?Noah [00:55:41]: Or just mobile controlled platforms or something.Brandon [00:55:44]: Spider robot, yeah.Brandon [00:55:45]: Everything evolves into a crab.Brandon [00:55:46]: You build a crab robot.Yaroslav [00:55:47]: A humanoid-Noah [00:55:48]: The carcinization of warfare.Yaroslav [00:55:51]: There is a lot of utility in humanoid robots because the world is designed around humanoids. So I would not, like, 100% disqualify the possibility that sometimes 10 years in the future, humanoid robots, will be actually fighting. So that's an actual Terminator kind of scenario.Brandon [00:56:14]: Yeah, in the first Terminator movie, you look at what they've got on the battlefield, they've got flying bomber drones and humanoid robots.Yaroslav [00:56:20]: Look, the cost of large language models of running them is getting so low, you can have basically an inexpensive computer running, what was a state-of-the-art model a year and a half ago, running it locally on a device with an open source model, which also means that the Chinese can have it, the Russians can have it, the North Koreans can have it, et cetera. So that is already possible. And with when we're looking at the acceleration of the neural nets, I would've, if not the acceleration of the large language models, I would've said that I don't think that humanoid robots will be able to be useful in the battlefield earlier than in 10 years. But if you account for the exponential, it might be five years or so. The problem with all of the autonomous systems, and it's like starts with self-driving cars and even with all the AI, like modern day AI agents, to make them really, useful, you have to solve such a long tail of edge cases, that it's really difficult to make them useful. Like we were promised, self-driving cars, what, like 2007, Sebastian Thrun and Google, and even before that all the challenges, everything. And Elon of course told us it's going to be one year from 2014, and now we still don't have self-driving Teslas everywhere. We have Waymos in SF and some other places, but they're still, like, not perfect. So I think, I expect something similar from self-flying drones and fully autonomous drones, and we saw that firsthand as with each level of autonomy that we're adding, there is a very wide distance between a prototype and something that is ready to be scaled to millions of units and something that has been scaled to millions of units. But the race with like AI coding tools is just insane. So things might accelerate very fast, faster than we can imagine.Noah [00:58:46]: I think your point is that with due to this long tail behavior Level one autonomy as you've defined it, is actually very natural. Like you basically are just solving an image recognition and tracking system.Yaroslav [00:59:02]: It's actually interesting that you say it that way, and I thought about this the very same way, and we have this joke that there are like 200 companies in Ukraine which are trying to solve last mile, targeting or terminal guidance. It seems like we're like the only company that actually solved that because even that problem-Noah [00:59:22]: I'm not saying it's, I'm not saying it's trivial, but it's at least something that you imagine given our current state.Yaroslav [00:59:26]: Like us and Eric Schmidt, like Eric Schmidt's companies are pretty good.Yaroslav [00:59:29]: Like, I actually have lots of respect to what they're doing, and they're, they have been practically influential and helpful on the battlefield, and they have good engineering.Noah [00:59:38]: I wasn't, I wasn't saying it's trivial. I'm just saying this is a something naturally adaptive based upon things that we know work, well. But some of the other domains that where you do have to make decisions and you have a long tail become much harder, and you worry about edge cases more.Yaroslav [00:59:57]: Like the more, the more complex behavior you're trying to simulate, the more edge cases there are right? The more ways to do it wrong there are. And then there are different approaches. It's like if you think about, if you read academic papers about robotics, right? You sort of the robot is represented as something that has the sort of sensor input, and then you have three, levels of sort of logics or decision-making, which are perception, planning, and control, and then you have actuators as output.So pre-neural nets, you would do perception output and control all with classic logics, right? Then, with AlexNet and computer vision, you could do perception with neural nets and the rest with logic. You cannot currently do each of those separately with neural nets, each of those separately with logics, or you can just have one huge neural net that just takes lots of sensory data. It's not just pixels. Could be sound, could be accelerometer, could be everything, as input, and just outputs the controls. And some of the self-driving car companies are doing that or like, experimenting between different ways of doing that. So you can also, like, think about that and the way you implement those features, also influences how much degrees of freedom the system would have, right? Like control, you can do it classical algorithmic control with common filters and PAD filter, PAD controllers, et cetera, or you can do a neural net, that was trained in a gym with a reinforcement learning, et cetera. And those would be two different behaviors of a system.Noah [01:01:53]: I-- Maybe my point was just much more high level. It'Yaroslav [01:01:56]: Or you can If you go even like, if you go high level, you can, you can like train to like have whatever, like Feifei Li and folks who are doing like physical, sortBrandon [01:02:08]: World modelsYaroslav [01:02:08]: World models, right, physical intelligence, they're trying to make these big models and sort of understand the world and then supposedly you have such model and you can tell a drone, “Okay, like, go over that hill and like, find the bad guys and then get them,”or “Make me a video, make me a photo of the guy smiling and get back to me.” Right? That's one way. Another way you have like these subsystems, like one is navigation, another is finding the person, another is like getting to them to take a photo. And those are again, very different behaviors. And then it's not that one is necessarily better than the other, and we might have more technological ability to do one or another. But all of those systems will exist. And then again, you should always keep in mind that it's only the not only the good guys that are developing these systems, the bad guys are developing these systems as well.China's Drone Supply Chain and the West's Manufacturing GapNoah [01:03:00]: I guess where I'm going with this back to Noah's original thought with the end of the end of the soldier. And so in order to replace-Brandon [01:03:10]: Or at least the end of the rifleman.Noah [01:03:11]: Or the end of the rifleman, yeah.Yaroslav [01:03:13]: I'm not seeing that very close, and it was like I'm, as much as I'm a lover of sci-fi and all of that and a technologist, the more I try to beYaroslav [01:03:27]: Like the I try to have certain humility about these things, and like the military, domain and there was just so much human history and blood and tears, dedicated to sort of understanding this art of war and perfecting it and so on. There is so much knowledge in there that I don't feel like I even started to comprehend, a lot of that. But one thing that I really understood is that even though drones are now making eighty percent of the casualties, you go to the actual officers, you talk to the actual, like, brigade commanders, corps commanders, and they explain to you, how all of it fits together, how when you're thinking about an operation that involves a couple thousand people to get this piece of land, out of the enemy's hands, deoccu deoccupy it, how it is so complex, it involves, dozens of different types of drones and then land operations and reconnaissance operations, psychological operations and then aviations and tanks and logistics and all kinds of these different assets. So modern warfare is really very complex, and the fact that the drones are the latest, coolest thing, and then the AI is latest, coolest thing, doesn't mean that now it's that and only that right? So yeah. Whoever's looking into that I think should realize that it's not just what the press talks about, that the reality is much more difficult, much more complex.Brandon [01:05:17]: Let's talk about China and China's manufacturing capabilities. So suppose that someone, like suppose the United States went to war with China. AndYaroslav [01:05:26]: I hope not.Brandon [01:05:27]: I hope not as well. And then but suppose that drones were very essential to that war of all the types of drones that we're talking about here, and that suppose that China said, “All right, well, you need X and Y and Z, to make those drones to fight us, and we control the production of X and Y and Z, so we're just going to cut you right off, and now you have no drones.”Brandon [01:05:47]: I know that a number of countries, including Ukraine and Taiwan, have been making moves to China-proof their drone productions that China couldn't do that. Examples of things they might be able to cut off might include rare earths, fiber optic cable that you were talking about before, various other things that where even if they don't control one hundred percent of the production, they control enough of the production that would be extremely expensive to produce it without relying on Chinese sources. Or the market's fragmented enough, et cetera. What do you see as China's key bottlenecks, and how easy are those to overcome in terms of China-proofing drone production in case of a war against China?Yaroslav [01:06:30]: Let me start with a saying that -Although China does not sell directly to Ukraine and it does sell directly to Russia, a lot of Ukrainian supply chains, they start in China, right?Yaroslav [01:06:49]: We're not in a conflict with China, and we would not want to be in a conflict with China. And we'd hope that China stays a neutral power between Ukraine and Russia and the US as well. That said, the scenario that you're describing, everything is much worse.Yaroslav [01:07:11]: Think about this. Last year, Ukraine produced four million FPV drones. Ukraine is not the most industrious nation in the world.Yaroslav [01:07:19]: China can produce four billion of these FPV drones.Yaroslav [01:07:23]: China can make them not drones with propellers, but fixed-wing drones, which go not forty kilometers far, but maybe two to three hundred kilometers inland.

This is a recap of the top 10 posts on Hacker News on May 14, 2026. This podcast was generated by wondercraft.ai (00:30): Removing the modem and GPS from my 2024 RAV4 hybridOriginal post: https://news.ycombinator.com/item?id=48138136&utm_source=wondercraft_ai(01:59): A message from President Kornbluth about funding and the talent pipelineOriginal post: https://news.ycombinator.com/item?id=48136262&utm_source=wondercraft_ai(03:29): Rewrite Bun in Rust has been mergedOriginal post: https://news.ycombinator.com/item?id=48132488&utm_source=wondercraft_ai(04:58): RTX 5090 and M4 MacBook Air: Can It Game?Original post: https://news.ycombinator.com/item?id=48137145&utm_source=wondercraft_ai(06:28): Claude for Small BusinessOriginal post: https://news.ycombinator.com/item?id=48130950&utm_source=wondercraft_ai(07:57): AI is making me dumbOriginal post: https://news.ycombinator.com/item?id=48139148&utm_source=wondercraft_ai(09:27): New arXiv policy: 1-year ban for hallucinated referencesOriginal post: https://news.ycombinator.com/item?id=48140922&utm_source=wondercraft_ai(10:57): Scorched Earth 2000 – WebOriginal post: https://news.ycombinator.com/item?id=48129694&utm_source=wondercraft_ai(12:26): New Nginx ExploitOriginal post: https://news.ycombinator.com/item?id=48138268&utm_source=wondercraft_ai(13:56): Bitcoin trader recovers wallet with help of ClaudeOriginal post: https://news.ycombinator.com/item?id=48136240&utm_source=wondercraft_aiThis is a third-party project, independent from HN and YC. Text and audio generated using AI, by wondercraft.ai. Create your own studio quality podcast with text as the only input in seconds at app.wondercraft.ai. Issues or feedback? We'd love to hear from you: team@wondercraft.ai

Deze aflevering van Einde van de Week Live is ook te bekijken op https://youtube.com/live/l1xFmD8qgMs Deze talkshow wordt mede mogelijk gemaakt door MSI. Alle meningen in deze video zijn onze eigen. MSI heeft inhoudelijk geen inspraak op de content en zien de video net als jullie hier voor het eerst op de site. Klaar om het weekend te betreden? Wij wel. Ook al gaat dit Hemelsvaart weekend nat worden. We gaan er voor. En dat laten we je ook weten in een nieuwe editie van Einde van de Week Live. Huey, JJ en Koos zitten klaar om bij te praten over alles wat er de afgelopen week toe deed. Een onderwerp dat aan bod komt, is bijvoorbeeld het lek bij Ubisoft waarin veel nieuwe details stonden over Assassin's Creed Hexe. Wat zijn we allemaal te weten gekomen over dit nieuwe spel? De drie bespreken ook het immense succes van Capcom, de kans op een nieuwe Dead Space en de ballen die Rockstar keer op keer toont. Dit alles en meer zie en hoor je voorbijkomen in de Einde van de Week Live van vrijdag 15 mei 2026. Dit keer lekt het bij Assassin's Creed Hexe Verder onderwerpen in deze video zijn de vervroeging van première van de nieuwe Zelda film, de vermeende startdatum van de preorders van GTA 6 en de neergang van de eens zo vermaarde Football Manager franchise. Koop nu de Cyborg 15 gaming laptop, met een 5070 RTX videokaart erin, voor een zeer scherpe prijs MSI zet deze week de Cyborg 15 in de spotlights. Deze gaming laptop bezit een 13e generatie Intel Core i7 processor, een NVIDIA GeForce RTX 5070, 16GB RAM intern geheugen, een 1TB SSD, een 4-zone RGB toetsenbord en een 15.6” full HD 144Hz display. Deze prima laptop met dus een RTX 5070 aan boord is hier tegen een scherpe prijs bij Azerty verkrijgbaar. Scoor nu kaarten voor het concert van The Prodigy in de Ziggo Dome Op 28 november aanstaande staat The Prodigy in de Ziggo Dome. Grote kans dat het dak er dan vanaf gaat. Met hun snoeiharde mix van breakbeat, rave en punk staat deze groep al ruim 30 jaar garant voor shows met bakken energie. De vroegtijdig overleden frontman Keith Flint continu in ere houdend, zijn de overgebleven leden, Liam Howlett en Maxim Reality, vastberaden om deze legacy door te zetten. Onder andere dus in Amsterdam. Hier kun je de kaarten voor het concert aanschaffen.Wil je adverteren bij de podcast Gamekings óf misschien bij een andere podcast van ILVY Network? Mail dan naar management@ilvy.com en/of kijk even op de website : https://ilvy.com/podcastSee omnystudio.com/listener for privacy information.

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Episode 103: Some people got upset that we claimed Nvidia didn't deliver on their promised ray tracing future. So we discuss that, the RTX 20 series, how ray tracing was marketed, and whether we think it's lived up to the original hypeCHAPTERS00:00 - Chat About Ray Tracing 55:12 - Updates From Our Boring LivesSUBSCRIBE TO THE PODCASTAudio: https://shows.acast.com/the-hardware-unboxed-podcastVideo: https://www.youtube.com/channel/UCqT8Vb3jweH6_tj2SarErfwSUPPORT US DIRECTLYPatreon: https://www.patreon.com/hardwareunboxedLINKSYouTube: https://www.youtube.com/@Hardwareunboxed/Twitter: https://twitter.com/HardwareUnboxedBluesky: https://bsky.app/profile/hardwareunboxed.bsky.social Hosted on Acast. See acast.com/privacy for more information.

"Para trás nem para pegar impulso." Clovis de Barros Filho.Iniciamos este episódio com essa provocação para discutir o movimento frenético do mercado de tecnologia. No Drops de IA de hoje, eu e o Thiago Vespa mergulhamos em um dos temas mais quentes do momento: a bolha da inteligência artificial vai estourar?Debatemos a diferença crucial entre lucro e valor de mercado, citando empresas como Nubank e a própria OpenAI que operam com valuations bilionários mesmo sem entregar lucros imediatos, baseando-se no seu potencial disruptivo.O que você vai encontrar neste episódio:- Os números do hype: discutimos o investimento global de R$ 8,4 trilhões em IA, um valor que chega perto de todo o PIB do Brasil;- A previsão da IA local: o Vespa traz uma visão de futuro onde rodaremos LLMs diretamente em nosso hardware (como placas RTX), fugindo da dependência da nuvem e dos custos de assinatura;- O paradoxo do programador junior: um insight surpreendente sobre como empresas estão voltando a contratar desenvolvedores iniciantes porque, em alguns casos, o custo humano já é menor do que o custo dos tokens de IA;- Experiência com Claude e Lovable: compartilho como usei essas ferramentas para criar meu site pessoal em React, mesmo sem ser especialista na linguagem, e por que o Claude tem superado o GPT em tarefas de código;- Squads de agentes autônomos: o futuro onde uma única pessoa pode orquestrar uma equipe inteira de IAs locais.O papo vai muito além da tecnologia, é sobre estratégia, governança de dados e sobrevivência na economia digital.

בפרק היום אנו סוקרים את הובלת מדד הנסדא"ק שמזניק את המדדים לשיאים חדשים, ובוחנים כיצד שער הדולר משפיע על המגמות הללו. ננתח את סקטור האנרגיה דרך תעודת ה-XLE וענקיות כמו XOM ו-OXY, נעבור לסקטור הסמי-קונדקטור (SMH) עם דגש על חברות כמו SNDK, MU ו-ON, ונחתום בסקירת הסקטור הביטחוני (LMT, RTX, KTOS) בצל השפעות המלחמה והטעויות האסטרטגיות של איראן בזירה הגיאופוליטית.

Story of the Week (DR):Happy (?) May Day MMMay Day 2026: Top CEO pay increased 20 times faster than workers' pay in 2025Rivian Sold 42,247 Cars And Paid Its CEO [RJ Scaringe] $403 Million, Or 15 Jim FarleysComcast Co-CEO Mike Cavanagh Lands $72 Million Pay Package For 2025Google co-founder [Sergey Brin] rips California billionaire tax: 'I fled socialism'ONE-TIME wealth tax: The proposal would impose a 5% tax on net worth above the $1 billion threshold for people who were California residents as of Jan. 1, 2026, with some assets like real estate and certain retirement accounts excluded~$13B, with certain exclusions this figure could drop to $9B (the approximate value of his real estate empire)This is the equivalent of $2,500 if you earn $50,000Ken Griffin slams Mamdani for singling him out as a 'profound lack of judgment,' ripping socialist bentBill Ackman to New York City Mayor Mamdani: Don't scare away the billionaires CEOs got millions after boards ‘neutralized' the impact of tariffs. Some won't say what it was worthRTX CEO Christopher Calio: $27.7 million in compensation last yearAt its January 2025 board meeting, the compensation committee of RTX pre-authorized the removal of tariff impacts on business metrics related to Calio's pay months before President Trump announced a set of sweeping Liberation Day tariffs on April 2, 2025 that upended global supply chains. The RTX comp committee said that the tariff-cost impact “should be neutralized” for determining annual bonus payouts because the tariffs were “externally imposed, unpredictable and unrelated to operational execution.”Calio's annual bonus hit $5.1 million, an 85% increase over the $2.76 million the company paid him the year beforeHow much of that growth was attributable to the tariff exclusion, RTX did not discloseWe spoke to over 30 CEOs and business leaders. Here's what worries them mostA world of constant shocksSupply chains are under strain and getting costlierInflation is testing the consumerAI is an opportunity, but also a threatCyber and trust are keeping CEOs upEnergy security is back at the centerThe leadership playbook is changingThe 'Dirty Secret' Behind AI Layoffs: Forrester Warns Tech Is Often Non-ExistentForrester finds most firms citing AI for job cuts lack the systems to back it up, deepening mistrust over how and why people are being let goExecutives are increasingly blaming artificial intelligence for sweeping layoffs even when the technology is barely in place, Forrester has warned, with analyst J.P. Gownder saying that in 'nine out of 10' such cases the AI capability behind those cuts simply does not existMeta says it doesn't know its ideal size as it prepares to lay off 10% of its staffBed Bath & Beyond CEO: AI will lead to ‘significant reduction in headcount'Sam Altman says he is 'deeply sorry' for failing to alert police ahead of mass shootingSam Altman Issues Grim ApologySam Altman is “the face of evil” for not reporting school shooter, says lawyerSam Altman apologized to the people of Tumbler Ridge, British Columbia, because OpenAI had flagged and banned the suspect's ChatGPT account but did not alert police before the mass shootingApril 28, 2026: Our commitment to community safety“We assume the best of our users, but when we detect that someone is attempting to use our tools to potentially plan or carry out violence, we take action, including revoking access to OpenAI's services.”“We use automated detection systems to identify potentially concerning activity at scale.”“When an account or conversation is flagged, it is assessed in context by trained personnel. These human reviewers are trained on our policies and protocols, and operate within established privacy and security safeguards”“When conversations indicate an imminent and credible risk of harm to others, we notify law enforcement.”Zero mention of the Tumbler Ridge massacre, the apology, the lawsuits, etc.Elon Musk's trial against Sam Altman to reveal the ongoing power struggle for OpenAIMusk is suing Altman, OpenAI, and Microsoft over the claim that OpenAI abandoned its original nonprofit, “benefit humanity” mission and instead became a profit machine, while OpenAI says Musk is really trying to slow a competitor he helped createThe courtroom tone has been described as unusually messy and theatrical, with the judge reportedly telling both sides to stop acting out on social mediaThe judge told Musk to cool it on the “robot apocalypse” and “Terminator” talk.Musk lawyer says OpenAI 'stole a charity,' as trial against AI firm, Sam Altman beginsWorld's Richest Man, Least Generous? Elon Musk Tops Forbes 'Least Philanthropic' ListForbes' analysis concludes that Elon Musk has given around $500 million 'directly to those in need' — a sum that sounds enormous in isolation yet, by the magazine's maths, represents just 0.06 per cent of his reported wealth. In other words, for every $1,000 attached to his name on paper, roughly 60 cents has so far gone, in clear line of sight, to people or causes that can be classed as receiving direct help.Jerome Powell says he will continue to serve as a Fed governor, calls Trump criticism 'unprecedented'Powell says he's staying on as a Fed governor after his chair term ends, which blocks Trump from simply creating an empty seatPowell says the pressure campaign is unprecedented and threatens the Fed's independence.Bessent Says Powell Staying On Is ‘Violation' of All Fed Norms“It's highly unusual for someone who says he's an institutionalist and cares about norms at the Fed. This is a violation of all Federal Reserve norms.”“I think it is an insult to Kevin Warsh, Miki [Michelle] Bowman and Chris Waller to think that these other Republican nominees do not care about the institution of the Fed and that he alone can maintain the integrity of the Fed.”Trump Takes a ‘Wrecking Ball' to Independent Scientific Advisory BoardThe DEI death blow: “We Could See the Largest Drop in Black Representation Since the End of Reconstruction”Much like dual class shares: The erosion of the Voting Rights Act directly dilutes the collective political power of Black communitiesThomas Dartmouth Rice ("The two most popular characters in the world at the present time are [Queen] Victoria and Jim Crow.") received some formal education in his youth, but ceased in his teenage years when he acquired an apprenticeship with a woodcarver named DodgePentagon inks deals with seven AI companies for classified military workOpenAI, Google, Nvidia and others agreed to ‘any lawful use' of their tech. Anthropic, feuding with Pentagon over potential AI misuse, was not includedGoodliest of the Week (MM/DR):DR: France unveils plan to ditch all fossil fuels by 2050a “first of its kind” plan to phase out coal by 2030, oil by 2045 and gas by 2050 during a global conference aimed at breaking reliance on fossil fuelsMM: War on Social Media: Greece to ban anonymity on social media DRI seriously might move to GreeceMeta's threat to quit New Mexico ‘is showing the world how little it cares about child safety,' AG saysAssholiest of the Week (MM):Disney's spineless chair James Gorman DRABC can beat Trump FCC's license threat if owner Disney is willing to fightThe man who was the savior picking the new CEO, when asked what he thinks of the attack on Kimmel and Disney's ABC (again), said, “It's the job of the CEO with their team to figure out the right answer and they'll be guided by the board”, and then declined to say what advice he or the board would give regarding the “Jimmy Kimmel Live!” show.“We have a terrific new CEO, Josh D'Amaro, he's world class so I'm sure he'll rise to the occasion and do what the right thing is.”Here's a glow up of Gorman choosing the new CEO:James P. Gorman, former head of Morgan Stanley, became Disney's chairman a year ago with succession at the top of his to-do list. The 67-year-old Australia native comes with strong opinions and sterling credentials: He helped stabilize, then revitalize the Wall Street bank during his 14 years in the C-suite, retiring in December 2024 after orchestrating a seamless baton pass.“I don't know that there's anyone who could have navigated these kinds of leadership transitions better than James,” Wharton School Dean Erika H. James said in an interview. “He's not afraid to do the hard things.”James was on the board of Morgan Stanley with GormanSo the board abdicates all responsibility? They bow out? Without Ken Doll Bob Iger around they have no part to play anymore?“Even after paying off the president last year, ABC is once again under attack by this administration,” Sen. Adam Schiff (D-Calif.) wrote yesterday. “This should be a lesson to all who capitulate to the president: You cannot buy his favor, you can only rent it.”Even the fucking CATO INSTITUTE weighed in: FCC's Punitive Review of ABC-Disney's Broadcast Licenses Shows Need to Protect Free Expression“Punishing a media organization, no matter what one thinks of their reporting or programming, is an affront to the right of Americans to speak and listen to whatever speech they wish”AI OverloadPopular pasta sauce brand is launching new device to record conversationsPrego owned by Campbells selling a puck that sits on your dinner table, records the conversation, and offers “conversation prompts”When a soup company thinks the answer to AI in soup is a fucking device sitting on your table, listening to you, when we're already surrounded by our tech overlords doing the same thing, we know we've jumped the sharkChip Wilson and the male CEO industrial complexLululemon Founder Takes Aim at New CEO Pick, Escalates Proxy FightChip uses “governance” as his main angle of attack without acknowledging that 50% of the board he hates, including the chair, HE HAND PICKED HIMSELFWall Street sank the shares more than 13% on the announcement of Heidi O'NeillCritiqued her tenure at Nike pushing “direct to consumer” - without acknowledging that Nike is a dual class controlled company with the company founder's nepo baby on the board AND an executive chair (Mark Parker) AND the current CEO (Elliott Hill)Do you think O'Neill made the decision in a vacuum by herself? She's an NEO under not one but THREE leaders - and in 2025 she got a massive stock award (11.4m) to keep her around. She also has a babysitter - she was head of Consumer, Product, & Brand, but there was Craig Williams, Chief Commercial OfficerIs this anything but fucking white dude manbaby sexists anymore?60% female board who just added another woman of color to go above that, +8% gender power gap, 70% female influence - the analytics suggest they are not deferential to the CEO, the only merit director on the board are womenWhile dude analyst Bill Campbell at Paragon Intel said, “she does not look like the obvious architect of the deeper reset this moment demands,” William Blair analyst Sharon Zackfia said, “She brings a significant breadth of knowledge in women's performance apparel and her experience accelerating speed-to-market is particularly welcome at lululemon where lead times have ballooned to about 24 months.”Reading the timeline of interactions, Wilson just sounds like a fucking baby, complaining the board isn't talking to his people enough, they don't respond quickly enough, even as every time he doesn't get his way he publicly says the board sucks but commits to the chair he wants to have “constructive” dialogue. Then the board offers him board seats if he just shuts the fuck up, and he says he won't agree to shut up but they should give him the board seats anyway.Headliniest of the WeekDR: Lululemon's New CEO Is Already in the Hot Seat—and She Hasn't Even StartedMM: 51% of U.S. employees have cried at the office within the last month, according to a new reportWho Won the Week?DR: Only Elon Musk can fire Elon Musk from SpaceX, filing showsMM: Earth - SpaceX ties Musk compensation to Mars colonization goal, which I assume can only mean if Musk himself colonizes Mars he gets paidPredictionsDR: Billionaires start to introduce their own taxes on “normal” people, like: Sidewalk Wear-and-Tear Tax: charged per step, tracked via mandatory Smart Shoes™ and a Public Bench Depreciation Fee: sitting longer than 90 seconds counts as an “asset strain,” tracked via mandatory Smart Boxer Briefs™MM: Because Jamie Dimon says bureaucracy sinks companies and the solution may be getting rid of the ‘jerks' who don't want to solve it, JPMorgan begins firing the 51% of jerks who cried in the office this month.

Quanto vai custar GTA 6? CEO fala sobre preço e promete valor justo, justo pra quem? Brasil é campeão e recebe mais de 1 bilhão de ligações abusivas por mês. RTX 5070 ganha versão de 12 GB: é o fim do sofrimento nos notebooks? Aleluia! YouTube libera Picture-in-Picture de graça para todos os usuários. Sony finalmente explica DRM de 30 dias do PlayStation: 'verificação temporária'. Visa testa IA agêntica que paga suas contas 'sozinha'. Google investe bilhões na Anthropic, Cade e União Europeia pressionam Google, OpenAI pede desculpas, China barra venda de startup de IA, Intel cresce com IA. E ainda as novidades com nossos apresentadores direto da Gamescom 2026.

Dryden Pence believes Meta Platforms (META) needs to show ways it can maintain a dominant position in the AI race, even if that means raising CapEx once again. He calls the spending an investment that will serve as a catalyst down the road. Its AI growth, paired with a global social media net, are two Dryden sees lifting earnings. He lists Broadcom (AVGO) and RTX Corp. (RTX) as other top stock picks. ======== Schwab Network ========Empowering every investor and trader, every market day.Options involve risks and are not suitable for all investors. Before trading, read the Options Disclosure Document. http://bit.ly/2v9tH6DSubscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/About Schwab Network - https://schwabnetwork.com/about

On today's Look Ahead program, sponsored by HII, Byron Callan of the independent Washington research firm Capital Alpha Partners joins Defense & Aerospace Report Editor Vago Muradian to discuss the continuing US-Israel war on Iran despite a lull in shooting; diminishing US offensive and defensive precision weapons stocks and how they might shape American deterrence in the Indo-Pacific and elsewhere; economic factors that could drive even rich nations to redirect spending from military programs; the continuing global defense realignment as nations work to forge new partnerships to reduce reliance on the United States; takeaways from the Trump administration's 2027 base budget request and prospects for Reconciliation 2.0; a look earnings as Boeing, CACI, GE Aerospace, Hexcel, Honeywell, Lockheed Martin, Northrop Grumman, RTX, Saab, Teledyne and Thales all report; market impact in the wake of the latest instance of American political violence as a shooter tries to break into the White House Correspondents Dinner in Washington; and a look at the week ahead in Washington and beyond.

On this week's Defense & Aerospace Report Business Roundtable, sponsored by Bell, Dr. “Rocket” Ron Epstein of Bank of America Securities and Richard Aboulafia of the AeroDynamic advisory consultancy join host Vago Muradian to discuss the week on Wall Street as investors worried about what's next for the US-Israel war on Iran and higher energy prices on inflation, goods and services; how rising jet fuel prices are impacting airlines and the commercial aviation industrial ecosystem; President Trump's suggestion that the US government use Defense Production Act authorities to acquire Spirit Airlines for $500 million; the Trump administration submits its $1.15 trillion 2027 defense budget request to Congress as key lawmakers push back on a $350 billion reconciliation package to fund programs, $17 billion to for the president's top priority Golden Dome air and missile defense system with only $400 million in funding included in the base budget request; how lingering Iran war costs to repair damaged civilian and energy infrastructure could complicate efforts by Gulf nations to increase defense spending; the Pentagon's reported efforts to punish NATO members for not participating in the US-Israel war on Iran, including suspending Spain's membership in the alliance and backing Argentina's claim to the Falkland Islands as King Charles begins his state visit to the United States; Germany's first-ever security strategy to be Europe's defense leader by 2039; NATO's decision to buy Saab's GlobalEye to replace its aging fleet of Boeing E-3 Sentry Airborne Warning and Control aircraft; and a look at first quarter earnings reported by Boeing, GE Aerospace, Lockheed Martin, Northrop Grumman, RTX, Thales, and Teledyne.

What's better then an episode of the PCPer Podcast?  Two of them at once!The reviews of the 9950X3D2 are in from discerning reviewers.  TL;DR; - it's not for everyone, but it's very much for some.  The return of the 3060 is almost here, wait - DDR pricing has an upside?, D-Link routers take another beating in the security section, XBox mode, and the tipping point is here for IPv6 (I know, I know:  much wow, very excite!)0:00 Intro1:05 Patreon2:59 Fishsticks6:16 Food with Josh8:41 AMD Ryzen 9 9950X3D2 reviewed by a dozen outlets19:44 Alienware first to market with 9950X3D2 PC22:06 Ryzen 7 5800X3D returns, possibly! (Plus CPU show and tell)26:40 NVIDIA pausing the 9GB GPUs for the RTX 3060 12GB return?29:19 SK hynix giving executive bonuses to ALL employees30:46 HUDIMMs are half the speed, but will they be half the cost?32:39 Another retro computer case34:44 Brett shows off his latest PC build38:49 Apple has a new CEO (but it isn't Brett)42:10 Let's talk about video CODECs45:52 IPv6 usage reaches 50 percent49:54 MacOS 27 officially drops support for Intel50:45 (In)Security Corner1:01:10 Gaming Quick Hits1:13:26 Picks of the Week1:23:35 Outro ★ Support this podcast on Patreon ★

W tym odcinku prowadzący rozpoczynają od różnorodnych tematów, omawiając m.in. zawiłości z kablem zasilającym do potężnego RTX 5090, elektryzującą bieżnię, follow-up do Porsche 911 996 Carrera 4S oraz pilota Siri do Apple TV. Następnie płynnie przechodzą do najświeższych newsów ze … Czytaj dalej → The post 584: John Ternus zostaje nowym CEO Apple, Tim Cook prezesem wykonawczym zarządu first appeared on Retro Rocket Network.

Deze talkshow wordt mede mogelijk gemaakt door MSI. Alle meningen in deze video zijn onze eigen. MSI heeft inhoudelijk geen inspraak op de content en zien de video net als jullie hier voor het eerst op de site.Klaar om het weekend te betreden? Een extra lang weekend gezien de Koningsdag op de maandag? Wij in ieder geval wel. Als daar dan ook nog een dosis zon bij komt kijken, zijn we helemaal blij. Om smooth de twee vrije of wie weet wel drie vrije dagen binnen te glijden, presenteren we jou anderhalf uur aan gamepraat. Voorgezeten door Jelle , JJ en Koos. Zij zitten in de studio klaar om jou in een editie van Einde van de Week Live bij te praten. Bijvoorbeeld over de 180 graden draai van Microsoft Gaming dat nu weer Xbox gaat heten. De terugkeer naar exclusives ligt ook op tafel. En wat vinden ze van de eerste beelden van Assassin's Creed Black Flag Resynced? Deze onderwerpen en meer komen langs in de Einde van de Week Live van vrijdag 24 april 2026.Microsoft Gaming gaat opeens weer Xbox hetenTijdens deze lente-achtige editie van de traditionele vrijdag-show kijken we ook naar twee nieuwe trailers. Te weten die van 007 First Light en Saros. Wat komen we te weten van de nieuwe beelden? En waarom gooit Halo Studio's de Battle Royale versie van Halo weg en gaat het nu voor een extraction shooter. De drie heren kwebbelen er gezellig over in deze video.Pak 250 euro korting bij aankoop van de Katana 15 HX gaming laptop van MSIMSI zet deze week de Katana 15 HX. Een inmiddels bekende gaming laptop die deze week met een korting van 250 euro kunt aanschaffen. Qua specs bevat de laptop 14e generatie Intel Core i7 HX processor, een RTX 5060 videokaart, 512GB SSD, een 144Hz full HD display, een 4-zone RGB toetsenbord en 2x Type-C en 2x Type-A USB aansluitingen voor alle randapparatuur. Nu dus hier met een fraaie korting te verkrijgen.Microsoft Gaming gaat opeens weer Xbox hetenPak 250 euro korting bij aankoop van de Katana 15 HX gaming laptop van MSI

Plus: Retail sales jump in March because of higher gasoline prices. And defense contractor RTX is raising its forecast for the year. Anthony Bansie hosts. Sign up for WSJ's free What's News newsletter. An artificial-intelligence tool assisted in the making of this episode by creating summaries that were based on Wall Street Journal reporting and reviewed and adapted by an editor. Learn more about your ad choices. Visit megaphone.fm/adchoices

Defense stocks will be some of the key names to move the stock market higher, says Kevin Mahn. He points to the Trump administration's push for a $1.5 trillion defense budget and lasting geopolitical uncertainty as the sticky points backing his bullish thesis. Kevin highlights GE Aerospace (GE) and RTX Corp. (RTX) as two of the biggest companies to benefit. Tom White offers an example options trade for GE Aerospace. ======== Schwab Network ========Empowering every investor and trader, every market day.Options involve risks and are not suitable for all investors. Before trading, read the Options Disclosure Document. http://bit.ly/2v9tH6DSubscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/About Schwab Network - https://schwabnetwork.com/about

This weeks episode is brought to you by ADATA and their SD820 External Solid State Drive: https://thinkcomputers.org/SD820This week on the podcast we talk about our two latest YouTube videos which include a CPU cooler review and a video about the best portable SSDs out there! We also discuss both the RTX 3060 and Ryzen 7 5800X3D coming back, the HUDIMM memory standard, some retro PC cases, and much more!

Cavas Ships co-hosts Chris Cavas and Chris Servello join Defense & Aerospace Report Editor Vago Muradian to discuss what they expect to hear from US Navy leaders at the Sea-Air-Space conference and tradeshow next week. Cavas Ships will produce daily content and our coverage is sponsored by RTX.

This week on the podcast we go over our review of the ADATA SD820 Portable Solid State Drive.  We discuss the latest leaks regarding NVIDIA's RTX 60 series, the Core Ultra 290K Plus being cancelled, the Ryzen 9 9950X3D2, Apple discontinuing the Mac Studio, DDR5 prices stabilizing, and much more!

In this episode, Donna and Tom sit down with Ron Walters, Director of Digital Technology at Collins Aerospace (an RTX business), to explore the intersection of supply chain management and digital transformation. Ron shares insights from his 25+ years of Fortune 500 experience and military service, discussing how AI, automation, and advanced analytics are reshaping supply chain visibility and operational performance. He explains the commonalities across industries, from military to aviation, that all supply chain professionals can apply, and offers practical advice on successfully transforming complex supply chain processes through digital adoption. Listeners will gain valuable perspective on building supply chain resilience, understanding technology use cases, and preparing for the evolving landscape of the next 5-10 years. Takeaways: Ron's career journey from Army Intelligence Officer to leading digital transformation at Fortune 500 companies How digital transformation, AI, and automation are fundamentally reshaping supply chain visibility Practical strategies for transforming complex supply chain processes through digital adoption Advice for supply chain professionals and students on building careers at the intersection of technology and operations Stay connected with CSCR on LinkedIn (Center for Supply Chain Research) and Instagram (@pennstatesupplychain), and be sure to follow us on Spotify, Apple Podcasts, or wherever you are tuning into Unpacked: Insights hosted by the Penn State Smeal Center for Supply Chain Research™. Thank you for joining us!  Visit our website: https://www.smeal.psu.edu/cscr  Guest Bio: Ron Walters is an accomplished operations and technology leader with over 25 years of Fortune 500 industry experience. He has held leadership roles in manufacturing, supply chain, strategic sourcing, and IT business transformation at globally recognized companies, including General Electric, Black & Decker, Ingersoll Rand, and Trane Technologies. Currently, Ron serves as Director of Digital Technology at Collins Aerospace (an RTX company), where he plays a critical role in aligning technology strategy with business objectives, driving efficiencies, and enabling enterprise-wide digital initiatives. Before his current role, he served as Director of Supply Chain Technology and Systems, leading digital transformation efforts across the company's global supply chain and leveraging advanced technologies to enhance visibility, automation, and operational performance. With a deep background in digital transformation, Ron specializes in leveraging digital applications, AI, automation, and advanced analytics to enhance efficiency, streamline enterprise processes, and drive digital adoption. He actively shares insights on digital ecosystems, supply chain resilience, and emerging technology trends through industry engagements, professional collaborations, and his passion of mentoring employees and students. Prior to his corporate career, Ron served five years as an Intelligence and Reconnaissance Officer in the U.S. Army. He holds a B.S. in Civil Engineering from Penn State, an MBA from Indiana University Kelley School of Business, and a graduate certificate in Digital Transformation for Senior Executives from The Wharton School.

"It's amazing what's happening right now" as markets see bright spots despite facing "lots of near-term resistance," says Aquiles Larrea, Jr. He turns to three stocks in sectors he sees benefitting during and after the U.S.-Iran War. He calls RTX Corp. (RTX) and BP PLC core" positions while labeling TSMC (TSM) as more of a "high flyer" candidate. Kevin Green backs Aquiles' analysis with technical insight into today's Big 3. ======== Schwab Network ========Empowering every investor and trader, every market day.Options involve risks and are not suitable for all investors. Before trading, read the Options Disclosure Document. http://bit.ly/2v9tH6DSubscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/About Schwab Network - https://schwabnetwork.com/about

In der heutigen Folge sprechen die Finanzjournalisten Lea Oetjen und Holger Zschäpitz über den nächsten Taco-Trade, den Absturz der Tech-Titel und die Gewinne von CTS Eventim. Außerdem geht es um AMD, Intel, Nvidia, Micron, Lam Research, ASML, Meta, Alphabet, APA Corporation, Occidental Petroleum, EOG Resources, Valero Energy, Autodesk, Salesforce, CrowdStrike, Fortinet, Netflix, Olaplex Holdings, Henkel, TUI, Siemens Energy, Deutz, Carnival, Wüstenrot & Württembergisch, Jungheinrich, SAP, Deutsche Post, Siemens, Apollo, Blackstone, KKR, SK Hynix, Commerzbank, Apple, Mondelez International, McKesson, Loews, Morgan Stanley, Wells Fargo, Visa, Mastercard, American Express, JPMorgan Chase, Bank of America, Citigroup, General Dynamics und RTX. Hier kostenlos für den AAA-Newsletter anmelden: https://www.businessinsider.de/informationen/newsletter/alles-auf-aktien/ Wir freuen uns an Feedback über aaa@welt.de. Noch mehr „Alles auf Aktien“ findet Ihr bei WELTplus und Apple Podcasts – inklusive aller Artikel der Hosts. Hier bei WELT: https://www.welt.de/podcasts/alles-auf-aktien/plus247399208/Boersen-Podcast-AAA-Bonus-Folgen-Jede-Woche-noch-mehr-Antworten-auf-Eure-Boersen-Fragen.html. Hier könnt ihr den AAA-Newsletter abonnieren: https://www.welt.de/newsletter/article232797673/Alles-auf-Aktien-Der-taegliche-Boersen-Newsletter-fuer-WELTplus-Abonnenten.html Und - ganz neu: AAA gibt es jetzt auch auf Instagram: https://www.instagram.com/alles_auf_aktien/ Disclaimer: Die im Podcast besprochenen Aktien und Fonds stellen keine spezifischen Kauf- oder Anlage-Empfehlungen dar. Die Moderatoren und der Verlag haften nicht für etwaige Verluste, die aufgrund der Umsetzung der Gedanken oder Ideen entstehen. Hörtipps: Für alle, die noch mehr wissen wollen: Holger Zschäpitz können Sie jede Woche im Finanz- und Wirtschaftspodcast „Deffner&Zschäpitz“ hören. +++ Werbung +++ Du möchtest mehr über unsere Werbepartner erfahren? Hier findest du alle Infos & Rabatte! https://linktr.ee/alles_auf_aktien Impressum: https://www.welt.de/services/article7893735/Impressum.html Datenschutz: https://www.welt.de/services/article157550705/Datenschutzerklaerung-WELT-DIGITAL.html

Download for Mobile | Podcast Preview | Full Timestamps Older Twitch VODs are now being uploaded to the new channel: https://www.youtube.com/@CastleSuperBeastArchive DLSS-ification How I Swaddled your Mother It's Impossible To Exaggerate The Insane Greed of AAA CEOs The Emperor Protects Go to http://drinkAG1.com/SUPERBEAST to get an AG1 Flavor Sampler and a bottle of Vitamin D3+K2 for FREE in your AG1 Welcome Kit with your first AG1 subscription order! - Go to http://brooklynbedding.com and use promo code SUPERBEAST for 30% off - Head to http://factormeals.com/castle50off to get 50 percent off and free breakfast for a year! - Sign up for your 1$ per month trial today at http://shopify.com/superbeast  Nvidia announces DLSS 5 for 2026 (Demo uses 2 RTX 5090 GPUs + 1200W power supply) Digital Foundry hands on video US Supreme Court declines to hear dispute over copyrights for AI-generated material Saudi Arabia now owns 10% of Capcom Jeff Kaplan Says Complaining About Games You Won't Play Gets You Ignored: 'Shut The F*** Up. No One Cares' The Tekken 8 community is somehow even more on fire Invincible VS open beta coming on April 9 for Xbox and PS5 The Super Mario Galaxy Movie cast: A Story Expansion is now in development for Resident Evil Requiem Judge rules that Krafton must rehire fired Subnautica director Nathan Fillion Says 'Firefly' Animated Series In Development With Co-Stars Set To Reprise Roles; Concept Art Revealed Concept Art For a New Aliens Vs, Predator Beat 'em up Pitch That Didn't Get The Greenlight, By D.SLOOGS  

Giga Bytes Podcast 402: Hoy hablamos de la guerra del upscaling en Consolas y PC y mucho más!!! NVIDIA muestra el impresionante DLSS 5 (finales 2026 en tarjetas serie 50), neural rendering más AI Model (agrega iluminación foto realista, demo utilizo 2 tarjetas RTX 5090, una sola para su lanzamiento en otoño) PSSR update disponible ya en PS5 Pro: Cyberppunk 2077 (Pronto) Assassin's Creed Shadows (Pronto) Silent Hill 2 Silent Hill f Control Alan Wake 2 Dragon Age: The Veilguard Senua's Saga: Hellblade 2 Final Fantasy VII: Rebirth Nioh 3 Rise of The Ronin Monster Hunter Wilds Dragon's Dogma 2 Crimson Desert Battlefield 6 PS5 Update: Showcase mode (Welcome Hub) PS Portal Update: 1080p High Quality Mode (major bit rate, require mas data), Switch 2 añade Handheld boost mode con nuevo FW Ya esta pirateado Death Stranding 2: on The Beach, Lanza marzo 19 Saros Features Trailer Gaming Copilot a Xbox Series X/S 2026 Spiderman Brand New Day trailer Jack Ryan movie trailer Dune 3 Trailer Starfield a PS5 abril 7, nuevas expansiones y contenido incluido (lanzan el mismo dia en PC/XB) Adelantan Lego Batman Legacy of the Dark Knight al 22 de mayo (anteriormente mayo 29) Resident Evil Requiem, alcanza 6 millones en 17 dias     Sigueme y Suscribete: Facebook.com/elgiga Youtube.com/elgiga947 Instagram.com/elgiga947                                                                                                                                    Twitch.tv/elgiga947 Twitter.com/elgiga947 Giga Bytes Podcast   #monsterenergypr @monsterenergy @Stephreyesmarketing @caribbeanxsports @eriberto213 #gigabytespodcast #gigabytespodcast

Timestamps: 0:00 sorry just how it is 0:08 Apple HomePad and 'Ultra' products 1:36 OpenClaw hype continues 3:27 Nintendo sues US government 4:48 QUICK BITS INTRO 5:54 QUICK BITS INTRO 6:07 PS5 running Linux 6:41 Nvidia reviving RTX 3060 7:17 X finally adds Grok blocker 8:05 Arduino Ventuo Q 8:44 UK's first telesurgery NEWS SOURCES: https://lmg.gg/H23Bk Learn more about your ad choices. Visit megaphone.fm/adchoices

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

In this episode of The Canadian Investor Podcast, Simon Belanger and Dan Kent kick things off with a surprising ripple effect from the AI boom: a full-blown RAM/memory shortage that’s sending PC upgrade costs through the roof. They break down why high-bandwidth memory (HBM) is crowding out “normal” consumer RAM production, how Micron, Samsung, and SK Hynix are prioritizing the most profitable AI-driven demand, and what that could mean for pricing, upgrade cycles, and the broader tech supply chain. From there, they shift into a pragmatic, investor-focused look at positioning during geopolitical uncertainty—without cheerleading conflict. Dan outlines key areas investors often look at in these environments: defense contractors (and why buying after the headlines can be “buying the umbrella in the rain”), Canadian energy as a cleaner way to express higher oil prices with less Middle East exposure, the growing (and expensive) opportunity set in cybersecurity, and gold as both a safe haven and an inflation hedge. They also touch on different ways to gain exposure—individual names vs. ETFs—and wrap up with updates on the podcast’s YouTube live plans and what’s coming next. Tickers of Stocks discussed: LMT, NOC, GD, RTX, MU, AEM, FNV, WPM, ZJG.TO Subscribe to our Our New Youtube Channel! Check out our portfolio by going to Jointci.com Our Website Our New Youtube Channel! Canadian Investor Podcast Network Twitter: @cdn_investing Simon’s twitter: @Fiat_Iceberg Braden’s twitter: @BradoCapital Dan’s Twitter: @stocktrades_ca Want to learn more about Real Estate Investing? Check out the Canadian Real Estate Investor Podcast! Apple Podcast - The Canadian Real Estate Investor Spotify - The Canadian Real Estate Investor Web player - The Canadian Real Estate Investor Asset Allocation ETFs | BMO Global Asset Management Sign up for Fiscal.ai for free to get easy access to global stock coverage and powerful AI investing tools. Register for EQ Bank, the seamless digital banking experience with better rates and no nonsense. See omnystudio.com/listener for privacy information.

Episode 99: A brief chat on some news topics, like Nvidia's recent driver issues and the rumored RTX 5050 9GB, then into our main chat. Is it really no longer possible to future proof your PC? Or is this one of the better times for PC hardware longevity?CHAPTERS00:00 - Intro00:37 - The RTX 5050 9GB Rumors06:49 - New AMD Ryzen APUs for AM511:55 - Nvidia Driver Issues18:52 - Future Proofing Your GPU, Is It Possible?52:39 - CPU Longevity?1:12:16 - Updates From Our Boring LivesSOURCESJay's video: https://www.youtube.com/watch?v=JqIf5yvQdbcRTX 5050 9GB: https://videocardz.com/newz/nvidia-reportedly-plans-geforce-rtx-5050-with-9gb-memory-and-96-bit-busSUBSCRIBE TO THE PODCASTAudio: https://shows.acast.com/the-hardware-unboxed-podcastVideo: https://www.youtube.com/channel/UCqT8Vb3jweH6_tj2SarErfwSUPPORT US DIRECTLYPatreon: https://www.patreon.com/hardwareunboxedLINKSYouTube: https://www.youtube.com/@Hardwareunboxed/Twitter: https://twitter.com/HardwareUnboxedBluesky: https://bsky.app/profile/hardwareunboxed.bsky.social Hosted on Acast. See acast.com/privacy for more information.

In our very first YouTube Live (also released on the podcast feed), we pivot from a planned “all-banks” episode after major U.S. and Israeli strikes on Iran pushed markets into risk-off mode. We break down the key market transmission mechanism—energy—through the Strait of Hormuz, rising shipping risk, and why yields can rise during conflict when inflation expectations jump. From there, we shift into what Canadian investors actually own: the banks. We recap earnings and credit trends across Royal Bank (RBC), TD, National Bank (NA), and CIBC, including loan/deposit momentum, net interest margin commentary, and what provisions/allowances are signaling. We also discuss the “do nothing” historical playbook for geopolitical shocks—plus why oil-driven conflicts can be the exception—and wrap with how we’re thinking about positioning (cash, Canadian energy exposure, and watching for opportunities if volatility expands). Tickers mentioned: RY.TO, TD.TO, NA.TO, CM.TO, LMT, RTX, NOC. Watch the full video on Our New Youtube Channel! Check out our portfolio by going to Jointci.com Our Website Canadian Investor Podcast Network Twitter: @cdn_investing Simon’s twitter: @Fiat_Iceberg Braden’s twitter: @BradoCapital Dan’s Twitter: @stocktrades_ca Want to learn more about Real Estate Investing? Check out the Canadian Real Estate Investor Podcast! Apple Podcast - The Canadian Real Estate Investor Spotify - The Canadian Real Estate Investor Web player - The Canadian Real Estate Investor Asset Allocation ETFs | BMO Global Asset Management Sign up for Fiscal.ai for free to get easy access to global stock coverage and powerful AI investing tools. Register for EQ Bank, the seamless digital banking experience with better rates and no nonsense.See omnystudio.com/listener for privacy information.

Geopolitical instability in the Middle East is prompting investors to reassess the defense sector. Steven Wieting says much of the conflict-driven impact may already be priced in, noting strong gains in defense hardware alongside lagging cybersecurity performance. Garrett Smith argues that rising defense budgets and growing demand for drones can still raise challenges for legacy defense companies like Lockheed Martin (LMT), RTX Corp. (RTX), and General Dynamics (GD).======== Schwab Network ========Empowering every investor and trader, every market day.Options involve risks and are not suitable for all investors. Before trading, read the Options Disclosure Document. http://bit.ly/2v9tH6DSubscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/About Schwab Network - https://schwabnetwork.com/about

SUMMARY DEL SHOW Wall Street arranca en modo defensivo por escalada entre EE. UU., Israel e Irán, reactivando el riesgo de shock en energía y rutas comerciales. Rotación inmediata: energía y defensa al alza ($APA, $OXY, $DVN, $LMT, $RTX) mientras aerolíneas y cruceros sufren ($DAL, $UAL, $RCL, $CCL, $NCLH). En corporativo: $NVDA prepara plataforma para inferencia, $DKNG integra su “Super App” y $ASML quiere capturar el boom de IA desde el advanced packaging.

The Derm on RheumNow podcast is a collection of Citations and Content curated for dermatologists – addressing Psoriasis, PsA, CLE, vasculitis, HS, other CTD skin disorders. dermatology drugs, biiologics, JAKs - their use, efficacy and side effects.  Features Dr. Jack Cush, Editor at RheumNow.com.  SHOW NOTES FDA sent a complete response letter to AstraZeneca on their application (BLA) for anifrolumabs (Saphnelo) subcutaneous use in SLE. Despite a positive TULIP-SC trial & EU approval of SC-anifrolumab, FDA & sponsor still have to work things out. CRL reasons are unknown https://t.co/3dNwEyolrj Review of Calcinosis Cutis - Surgical intervent. most effective (excision, curettage, laser ablation, etc). Medical measures inconsistently, partially effective, best if used early & localized (CCB, TCN, probenecid, immunomodulation, biologics, colchicine, NA thiosulfate, & JAKi https://t.co/rv0hQBv6nX Systematic Review of Targeted Rx for Systemic Sclerosis: from 32 RCTs & 2036 pts Rx w/ 23 targeted agents. Guselkumab had greatest effect on mRSS, followed by tofacitinib, inebilizumab, & baricitinib. For FVC, B-cell Rx (belimumab, RTX) had highest efficacy https://buff.ly/vHOSRws Dermatomyositis outcomes w/ 2475 pts (claims) & 1196 pts (EHR). Half had myositis panels & 35% had + MSAbs. Steroid use common in 69% & 74%. HCQ, MTX, MMF. Outocmes (per 1000PYs) wereL all-cause hospitalisation 92, malignancy 15.3, ILD 6.4, and myocarditis 2.1 https://t.co/DJqKGNGX76 Danish DERMBIO registry of psoriasis pts Rx w/ biologics. Among 3790 bionaive pts ustekinumab had best 1-5 yr survival vs (ADA & SEC). In 3403 bioexperienced pts, bimekizumab, guselkumab, & risankizumab had highest 2-year drug survival rate. https://t.co/TInyLPMYkb Real-world study of 1202 #PsA pts shows that secukinumab retention rates were lower w/ smoking (79%/73%/72% in never/former/current smokers) but not w/ obesity (72%/77%/77% in normal/overweight/obese), Adh HR signif. higher w/ former (1.32) & current smokers (1.27)   https://t.co/1REWmod73W Together PSO Trial - Combination Ixekizumab and Tirzepatide Today Lilly announced top line results of the TOGETHER-PsO open-label, Phase 3b trial demonstrating the significant benefits of concomitant ixekizumab (IXE: an IL-17A inhibitor) and tirzepatide (TIR: GLP-1agonist) over https://t.co/YWCjN2NyGM

The RAM-apocolypse continues of course, with hints of it hitting general manufacturers, and delay of gaming systems and even spinning harddrives.  At least Micron is making some PCIe 6 drives you cannot have.  Also, since we are sometimes audio geeks as well as PC, we talk about some bananas.  Seriously.  You'll just have to listen to get the scoop on bad Chrome extensions, bad Copilot, and bad password managers.  Until then, enjoy Unread Tournament 2004!Timestamps:0:00 Intro01:15 Patreon03:22 Food with Josh05:20 Acer and ASUS caught up HEVC patent dispute07:15 Intel's new annual GPU cadence09:00 Micron is making PCI-E 6.0 SSDs that you can't have11:10 WD CEO says storage is already sold out for 202614:07 Warning - many consumer electronics companies will fail this year22:25 Sony may push PS6 launch as far as 202922:55 US reportedly removes two Chinese memory companies from banned list25:54 RTX 5090 LIGHTNING is 5090 USD (list price, anyhow)29:35 Audio dragged through the mud - and a banana34:34 (In)Security Corner45:07 Gaming Quick Hits50:35 Jeremy reviews 25 USD speakers from Cyber Acoustics56:53 Picks of the Week1:08:51 Outro ★ Support this podcast on Patreon ★

Tim Bohen is back with his Big 3, all of which have seen significant rallies over the last few months. He makes the case for continuing runs in Applied Materials (AMAT), SanDisk (SNDK), and RTX Corp. (RTX). Rick Ducat backs Tim's analysis with a glimpse into bearish and bullish trends in the stock charts. ======== Schwab Network ========Empowering every investor and trader, every market day.Options involve risks and are not suitable for all investors. Before trading, read the Options Disclosure Document. http://bit.ly/2v9tH6DSubscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/About Schwab Network - https://schwabnetwork.com/about

On today's Strategy Series program, sponsored by General Atomics Aeronautical Systems, Steve Grundman, a former Pentagon industrial base chief now with the Atlantic Council and the Grundman Advisory consultancy, joins Defense & Aerospace Report Editor Vago Muradian to discuss the Pentagon's acquisition reform efforts, including Defense Secretary Pete Hegseth's upcoming list of contractors deemed to be performing poorly; the Trump administration's investment stakes in key suppliers; new strategic minerals stockpile; agreements with Lockheed Martin and RTX to bolster missile production; President Trump's call to drop the long-standing US requirement that nations that buy American weapons check with Washington before transferring them to a third party; and outlook for global defense and aerospace supply chains as nations scramble to bolster their domestic weapons development and production capabilities.

Recorded February 4, 2026. We also cover the upcoming Steam Machine, sad GPU trends, and the arc of the Arc B770. We've got our review of the Thrustmaster T248R and rapidly dive into AMD's glorious financial success, plus a splash of ARM's Q3 results.  Surprise!  There are discussions on memory prices, Nvidia's RTX 50 series supply, and the weeks "best" security breaches.Powered by Clippy.Timestamps:0:00 Intro00:25 Patreon01:16 Food with Josh02:36 AMD Financials08:43 Arm Financials11:45 AMD says Steam Machine still on track for early 2026 (until it isn't)13:30 New memory price outlook has DDR5 doubling again in Q114:48 Low VRAM GPUs reportedly 75 percent of NVIDIA Q1 supply16:45 AMD also in the lower VRAM game19:45 Intel Arc B770 is supposedly canceled22:17 Spinning rust lives on25:33 Qualcomm loses chief CPU architect27:09 PCPer (possibly) influences Microsoft to backpedal on AI features!31:31 5GbE is getting more affordable33:44 (In)Security Corner43:32 Gaming Quick Hits47:56 Josh reviews the Thrustmaster T248R55:45 Picks of the Week1:07:56 Outro ★ Support this podcast on Patreon ★

The Derm on RheumNow podcast is a collection of Citations and Content curated for dermatologists – addressing Psoriasis, PsA, CLE, vasculitis, HS, other CTD skin disorders. dermatology drugs, biiologics, JAKs - their use, efficacy and side effects.  Features Dr. Jack Cush, Editor at RheumNow.com.  SHOW NOTES Lupus Accelerating Breakthroughs Consortium commissioned a stakeholders group (including the FDA) to assess drug development in Cutaneous lupus CLE), and they have endorsed CLASI (CLE Dz Area & Severity Index) as the outcome measure for CLE clinical trials. https://t.co/q7If97AHBa PAPA Syndrome: When Sterile Inflammation Mimics Infection (Pyogenic Arthritis, Pyoderma gangrenosum, Acne) •A rare monogenic autoinflammatory disease •Caused by gain-of-function mutations in PSTPIP1

Linktree: ⁠https://linktr.ee/Analytic⁠Join The Normandy For Additional Bonus Audio And Visual Content For All Things Nme+! Join Here: ⁠https://ow.ly/msoH50WCu0K⁠In the Notorious Mass Effect segment, Analytic Dreamz dives deep into the RAM Price Crisis (2025–2026), unpacking the key data, market drivers, and real consumer impact behind the dramatic surge in memory costs.RAM prices have skyrocketed into a sustained inflation cycle heading into 2026, fueled by explosive AI data center demand that prioritizes high-bandwidth memory (HBM) and diverts supply from consumer DRAM. Manufacturing bottlenecks, limited cleanroom capacity, and lithography constraints exacerbate the shortage, while major players like Micron exit consumer RAM sales (Crucial brand in December 2025) to focus on higher-margin AI segments. Samsung and SK hynix report massive profit surges amid the boom.DDR5 RAM has seen prices more than quadruple (+340–344%) since July 2025, with a +27% month-on-month jump from December to January 2026. DDR4 and older standards are rising even faster recently (+46% MoM in January), narrowing the gap with newer tech. ComputerBase's fixed-basket analysis confirms average prices have quadrupled versus September 2025, with Germany's retail tracking—Europe's largest PC hardware market—mirroring global trends, including growing secondary-market distortions.Secondary effects hit related components hard: SSDs up +79%, hard drives +53%, GPUs +14% (with street prices far exceeding MSRP on models like RTX 5070 Ti). Specific examples include 2TB NVMe drives jumping 60–159% and NAS HDDs doubling.Analyst forecasts from TrendForce and Omdia point to +50–60% DRAM contract price hikes in Q1 2026, following 40–70% YoY increases in 2025. PC shipments grew +9.2% in 2025 but face potential declines in 2026, while smartphone output forecasts drop ~20% for some brands, risking +30% price hikes or spec downgrades. Gaming consoles may see delays or higher launch prices.Apple's upgrade costs (e.g., $400 for 16GB→32GB) already outpace comparable DDR5 sticks, with M6 Macs potentially facing steeper hikes or supply delays if AI firms continue outbidding.The core takeaway: This AI-driven structural shift has quadrupled RAM prices in under six months, with volatility persisting through 2026. A plateau is the most optimistic scenario—no full reversal in sight. Analytic Dreamz breaks down the data, root causes, and widespread ripple effects across PCs, smartphones, and beyond.Support this podcast at — https://redcircle.com/analytic-dreamz-notorious-mass-effect/donationsPrivacy & Opt-Out: https://redcircle.com/privacy

In this jam-packed news & earnings episode, Simon and Dan break down the Bank of Canada holding rates, the massive uncertainty around U.S. trade policy, and why macro headlines are driving markets more than usual. We also dig into silver’s parabolic run (and why Simon trimmed exposure), plus earnings and updates from ASML, RTX, and UnitedHealth—a perfect example of how political risk can overwhelm fundamentals. We also tease an extra earnings + news episode next week, and we’re planning to do it live on YouTube for the first time—subscribe so you don’t miss it. Tickers of Stocks Discussed: ASML, RTX, UNH, INTC, LMT, SLV, ZSL, PSLV Watch the full video on Our New Youtube Channel! Check out our portfolio by going to Jointci.com Our Website Canadian Investor Podcast Network Twitter: @cdn_investing Simon’s twitter: @Fiat_Iceberg Braden’s twitter: @BradoCapital Dan’s Twitter: @stocktrades_ca Want to learn more about Real Estate Investing? Check out the Canadian Real Estate Investor Podcast! Apple Podcast - The Canadian Real Estate Investor Spotify - The Canadian Real Estate Investor Web player - The Canadian Real Estate Investor Asset Allocation ETFs | BMO Global Asset Management Sign up for Fiscal.ai for free to get easy access to global stock coverage and powerful AI investing tools. Register for EQ Bank, the seamless digital banking experience with better rates and no nonsense.See omnystudio.com/listener for privacy information.

What happens when Kent decides to use the podcast as an SFF build livestream? What about a build using DDR4 memory?? It probably doesn't get more exciting than this.  Unless you count discussing the impending pricing DOOM for SSDs and the Google enabled bluetooth security flaw.So much more fun in the timestamps below!Timestamps:0:00 Intro00:41 Patreon01:29 Food with Josh03:03 Checking in on Kent04:42 RIP cheap SSDs06:07 Samsung and SK hynix reportedly cut NAND supply to drive profits07:00 Checking in on Kent again07:38 NVIDIA GPU prices are probably going up soon12:27 RTX 5070 Ti and 5060 Ti 16GB are not EOL after all14:18 NVIDIA releasing Arm-based chips for Windows laptops this year?17:33 Micron acquires PSMC fab to expand memory operations19:38 Dev patches WINE to make Photoshop 2021, 2025 run on Linux21:35 Josh checks in on Kent25:32 (In)Security Corner35:34 Another check on Kent's build progress36:38 Gaming Quick Hits40:24 Kent makes more progress41:36 Picks of the Week55:34 Outro ★ Support this podcast on Patreon ★

Join The Full Nerd gang as they talk about the latest PC building news. In this episode the gang talks about the RTX 5070 Ti and 5060 Ti messaging and potificates on whether those GPUs are truly end of life, and the reports of dead X3D CPUs. And of course we answer questions live. Asus denial: https://www.pcworld.com/article/3035212/asus-denies-that-its-canceling-the-rtx-5070-or-rtx-5060-ti.html Check out the audio version of the podcast on iTunes, Spotify, Pocket Casts and more so you can listen on the go, and be sure to subscribe so you don't miss the latest live episode here on YouTube! Join the PC related discussions and ask us questions on Discord: https://discord.gg/UWhjwg778a Follow the crew on X and Bluesky: @AdamPMurray @BradChacos @MorphingBall @WillSmith

Greenland, Mexico, Venezuela, Colombia – USA is the world’s Cop again? More .. Housing, Credit cards, Fannie and Freddie – all in week’s work.. Retail investors in control – don’t care about the noise. PLUS we are now on Spotify and Amazon Music/Podcasts! Click HERE for Show Notes and Links DHUnplugged is now streaming live - with listener chat. Click on link on the right sidebar. Love the Show? Then how about a Donation? Follow John C. Dvorak on Twitter Follow Andrew Horowitz on Twitter   Warm-Up - Greenland, Mexico, Venezuela, Colombia - USA is the world's Cop again? - More .. Housing, Credit cards, Fannie and Freddie - all in week's work.. - Retail investors in control - don't care about the noise Markets - DJIA plowing ahead - NASDAQ on fire - what can stop this? - Nuclear stocks back in play - Defense names on the move - Interesting economic news. FIRST - President Donald Trump said drug “cartels are running Mexico,” and suggested the U.S. military could start land strikes against them there. - The comments come on the heels of suggestions that Trump could take military action in Cuba and Colombia, and to annex Greenland. - The Trump administration has reportedly carried out 35 known strikes on alleged drug boats in the Caribbean, killing 115 individuals. - I will be going to Mexico later this week for a couple of days..... Retail Ruling - Retail traders have extended a buying spree into the new year, following a record-setting performance in 2025, with purchases in the first four trading days of January hitting the second-highest level in almost eight months. - Individual investors have bought about $10.1 billion of US equities since the start of the year, mainly via exchange-traded funds, far exceeding the 12-month weekly average. - Retail investors' confidence has helped stabilize markets during recent pullbacks, and if they keep snapping up equities, gains in the US stock market are likely to persist, according to analysts. Employment Report - 4.4% Unemployment Rate - Nonfarm Payroll Employment: U.S. employers added +50,000 jobs in December 2025. This came in below economists' expectations (consensus around 60,000–73,000) and was a slowdown from the downwardly revised +56,000 in November. - Unemployment Rate: Edged down slightly to 4.4% (from a revised 4.5% in November), contrary to forecasts of 4.5%. The number of unemployed people remained around 7.5 million, showing little change. - Full-Year 2025 Performance: Total payroll growth for the year was just +584,000 jobs (average monthly gain of +49,000), marking one of the weakest years for hiring since 2020 (impacted by the pandemic). This is a sharp drop from +2.0 million added in 2024 (average +168,000 monthly). -Revisions to Prior Months: -- October 2025: Revised down to -173,000 (from -105,000, reflecting federal government buyouts and shutdown effects). -- November 2025: Revised down by 8,000 to +56,000. -- Combined October–November: 76,000 fewer jobs than previously reported. GDP - HOT - Minneapolis Fed President Neel Kashkari (voting FOMC member) on CNBC says it is very surprising how strong GDP growth is; says labor market is clearly cooling; says inflation still too high; has confidence housing inflation will trend down - Q3 at +3.8% and Atlanta GDP NOW is predicting that Q4 will come in at +5.1% More Eco - Productivity (Prelim Q3): 4.9% vs. 2.5% consensus - Productivity measures output per hour worked. A jump to 4.9% (almost double the consensus) suggests businesses are producing much more per labor hour than expected. Prior was revised up to 4.1% from 3.3%, so the trend is strengthening. WOW! Unit Labor Costs (Prelim Q3): -1.9% vs. +0.8% consensus - Unit labor costs measure labor cost per unit of output. A negative number means costs per unit are falling. Prior revised to -2.9% from +1.0%, so costs have been dropping sharply. -Could be due to technology adoption, automation, or efficiency improvements. Post-pandemic restructuring and leaner operations may have boosted output without adding labor. OOOOOOOPS - White House official says Truth Social disclosure of December jobs report was an "inadvertent release"; says White House will review protocols - CNBC  What next? - President Donald Trump called for a one-year cap on credit card interest rates at 10%, effective Jan. 20, without specifying details. - Trump wrote on social media that the American Public will no longer be "ripped off" by Credit Card Companies that are charging Interest Rates of 20 to 30%, and even more. - Maybe because of this: Hours before his message on Friday, Senator Bernie Sanders, a Vermont independent, said on X: “Trump promised to cap credit card interest rates at 10% and stop Wall Street from getting away with murder. Instead, he deregulated big banks charging up to 30% interest on credit cards.” - BUT! Credit card companies will not be forced to issue credit - right? It will hurt people that need credit for business, personal or other needs. Then there was this: - Mortgage rates fell sharply on Friday, a day after President Donald Trump said on social media that he is instructing mortgage giants Fannie Mae and Freddie Mac to buy $200 billion in mortgage bonds. - “This will drive Mortgage Rates DOWN, monthly payments DOWN, and make the cost of owning a home more affordable,” he said in the Truth Social post. - Still not clear where the money will come from and hot this actually works with the current structure of Fannie and Freddie - Talk of Fannie/Freddie IPO? --- Both are still still in conservatorship and book value per share still negative - SO WHERE DOES MONEY COME FROM? OHHHHH - How about this - 4PM browbeating for the Defense companies - RTX was in the hotseat (as were others) taking the wrath of Pres Trump saying that they were basically fat and happy and ripping off the taxpayer - No more dividends and no more buybacks was the call - Stocks dropped 5% into the close and then more after - 30 minutes later - conversation changed and the idea of a move from $1T in spending for the defense budget should move to $1.5T in 2027. ----- Where does that money come from? - Stocks JUMPED! Can't Ignore this - Trump suggesting that Corporations and institutional investors cannot buy single family homes - “People live in homes, not corporations,” he said. - The argument is that corporate ownership has helped push housing further out of reach for everyday Americans. - It is for that reason, and much more, that I am immediately taking steps to ban large institutional investors from buying more single-family homes, and I will be calling on Congress to codify it. - Invitation Homes, which is the largest renter of single-family homes in the country, tumbled 6%. Shares of Blackstone, an investing firm that owns and rents single-family homes, dropped more than 5%. Private equity firm Apollo Global Management also declined over 5%. Then there is this... - DOJ putting he screws to Powell - The Trump administration has ramped up its pressure campaign on the U.S. central bank, threatening to indict Federal Reserve Chair Jerome Powell over comments he made to Congress about a building renovation project, prompting the Fed chief to call the move a "pretext" to gain more influence over the ?setting of interest rates. - The latest development in a long-running effort by U.S. President Donald Trump to push the Fed to dramatically lower rates had immediate fallout in Washington and on global markets. - Powell came out with a video over the weekend. - Initially futures were down

Capturing Maduro and Buying Greenland – all in a day's work! Markets off to a great start – plenty of January to go… Venezuela oil – untapped opportunity – BUT let's take a closer look. And our Guest – Todd Tresidder – Founder of FinancialMentor.com NEW! DOWNLOAD THIS EPISODE'S AI GENERATED SHOW NOTES (Guest Segment) Todd Tresidder graduated from the University of California at Davis with a B.A. in economics and a passion for creating successful businesses. A serial entrepreneur since childhood, Todd went on to build his own wealth as a hedge fund investment manager before “retiring” at 35 to teach others. Today, he provides advanced investment and retirement planning education at FinancialMentor.Com showing you what works, what doesn't, and why based on a depth of proven experience. Todd is a financial coach and educator at FinancialMentor.com. He’s the author of five financial planning books including ‘How Much Money Do I Need To Retire?,’ ‘Don’t Hire A Financial Coach,’ and ‘Variable Annuity Pros and Cons.’ You can connect with Todd via his website, Financialmentor.com, Twitter @FinancialMentor, or on Google+. Check this out and find out more at: http://www.interactivebrokers.com/ Follow @andrewhorowitz  Stocks mentioned in this episode: (SHLD), (RTX), (SPY), (GLD), (XLE)