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05.06.2026 | Dijital Hayat Bölüm588 - TRT Radyo1 | "Bir Avuç Kum ve Çip İmparatorluğu" Dr. Bilal Eren'in hazırlayıp, sunduğu Dijital Hayat programımızda bu hafta, Boğaziçi Üniversitesi Teknoloji Transfer Ofisi Genel Müdürü Dr. Volkan Özgüz ile; - Silika Kumu Nedir, Neden Önemli? - Silika Kumunun Yarı İletken Çip Üretimindeki Rolü Ne? - Silika Kumu Nerelerde, Nasıl Çıkarılıp, İşleniyor? - Yarı İletken Çip Üretim Aşamaları Neler? - ASML, Zeiss, TSMC gibi Firmalar Hangi Rollerde Çalışıyor? - Yarı İletken Çip Üretiminde Optik Mercek, Safsızlık, Litografi, Pullar gibi hangi Yüksek Mühendislik Ürünleri Mevcut? - Yarı İletken Çip Üretim Döngüsünde Hangi Firma ve Ülkeler Tekel Olmuş Durumda? - Türkiye, Yarı İletken Çip Üretebilir mi, Ne Yapmalı? Başlıklarını konuştuk. Dijital Hayat, her cuma saat 15:30'da TRT Radyo1 mikrofonlarında canlı yayında... Tüm geçmiş ve gelecek yayınlarımız için; Web: https://www.dijitalhayat.tv
In this week's episode documentary photographer and photo editor Cengiz Yar takes on our ‘Proust Photo Quiz'. The Proust Questionnaire is a set of questions answered by the French writer Marcel Proust. Proust answered the questionnaire in a confession album, a form of parlour game popular at the end of the 1890s. The album, titled An Album to Record Thoughts, Feelings, etc. was found in 1924 and published in the French literary journal Les Cahiers du Mois. Our ‘Proust Photo Quiz' is an adaption of the original text. Cengiz Yar Yar is a New Jersey born documentary photographer and editor now based in El Paso, Texas who has worked in visual journalism for over a decade. He currently works as a visuals editor at ProPublica, where he edits, photographs, and art-directs stories across the site focusing on the visual coverage of projects in the US Midwest, Southwest, and Texas. Before joining ProPublica, Yar edited for publications such as Rest of World, Roads & Kingdoms, and the Guardian. As a photographer his work has primarily focused on human migration and the conflicts in Iraq and Syria. He is the inaugural recipient of the James Foley Award for Conflict Reporting, a Pulitzer Prize finalist, and a Dart Center Ochberg Fellow in Journalism and Trauma. His photography clients include Vanity Fair, Rolling Stone, WIRED, The Guardian, The Wall Street Journal, Instagram, Google, UNHCR, and The New York Times among others. He is a HEFAT, RISC, and FAA drone certified pilot and his first monograph, This Alabaster Grave, exploring the overwhelming destruction faced by the Iraqi city of Mosul was published in 2025. Dr.Grant Scott After fifteen years art directing photography books and magazines such as Elle and Tatler, Scott began to work as a photographer for a number of advertising and editorial clients in 2000. Alongside his photographic career Scott has art directed numerous advertising campaigns, worked as a creative director at Sotheby's, art directed foto8 magazine, founded his own photographic gallery, edited Professional Photographer magazine and launched his own title for photographers and filmmakers Hungry Eye. He founded the United Nations of Photography in 2012, and is now a Senior Lecturer and Subject Co-ordinator: Photography at Oxford Brookes University, Oxford, and a BBC Radio contributor. Scott is the author of Professional Photography: The New Global Landscape Explained (Routledge 2014), The Essential Student Guide to Professional Photography (Routledge 2015), New Ways of Seeing: The Democratic Language of Photography (Routledge 2019), and What Does Photography Mean To You? (Bluecoat Press 2020). His photography has been published in At Home With The Makers of Style (Thames & Hudson 2006), Crash Happy: A Night at The Bangers (Cafe Royal Books 2012) and Inside Vogue House: One building, seven magazines, sixty years of stories (Orphans Publishing 2024). His film Do Not Bend: The Photographic Life of Bill Jay was premiered in 2018. © Grant Scott 2026
Yarının bahçesini yemyeşil ve çiçekler içinde görmek istiyorsak, elimizdeki tohumları toprağa sevgiyle ve inançla bırakacağımız gün, bugündür. Hayat hikâyenizin gelecekteki sayfaları, şu an mürekkebini doldurduğunuz kalemle yazılıyor. Tohumlarınızı serpmeye şimdiden başlayın; zamanı geldiğinde verecekleri meyveler, bugünkü emeğinize fazlasıyla değecektir. Keyifli dinlemeler... https://www.organikbeyinler.net/ https://www.instagram.com/organikbeyinlerpodcast/
Eurovision Şarkı Yarışması bu yıl 70. kez düzenlenirken, “Yeter Ki Müzik Olsun” da Eurovision'a özel bölümüyle izleyiciyle buluşuyor. 1975'ten 2012'ye Türkiye'nin Eurovision serüveni, Türkçe'ye uyarlanmış Eurovision şarkıları, Türkiye elemelerinde yarışıp sonrasında hit olmuş parçalar ve çok daha fazlası bu özel bölümde sizlerle…
When Ligon II has a rare vaccine and the Federation needs it bad, Picard welcomes Luton aboard only for him to abduct Lt. Yar with a side hug. But after she's challenged to a dual by the leader's first wife, her success in combat topples his house of cards. Is there an aspect of Ligonian culture that we kind of agree with? Which uncle-related landmine did we not manage to avoid? What's the opposite of Alien vs Predator? It's the episode that's willing to defend itself.Support the production of our shows Members get benefits including bonus episodes and an ad-free experienceSign up for our mailing list!Get a thing at podshop.biz!The Greatest Generation is hosted by Adam Pranica and Benjamin Ahr Harrison The show is produced by Wynde PriddySocial media is managed by Rob Adler and Bill TilleyMusic by Adam Ragusea & Dark MateriaDiscuss the show using the hashtag #GreatestGen and find us on social media:YouTube | Instagram | BlueskyAnd check out these online communities run by FODs: Reddit | USS Hood Discord | Facebook group | Wikia | FriendsOfDeSoto.socialSupport the production of The Greatest Generation Hosted on Acast. See acast.com/privacy for more information.
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.
1. Ağlamak, bir hastalık neticesi olmaksızın gözden çıkan suyun akması. 2. Yara içinde kalıp görünen kan ve irin. 3. Bir yaradan kopan deri. 4. Mayasıl (egzama) rutubeti ve parmak aralarındaki pişik. 5. Yarı miktarından az, donmuş kana bulaşmış tükürük ve sümük. 6. Kulaktan, burundan veya yaradan çıkan kurt. 7. Ağız dolusu olmayan kusuntu. 8. Balgam, velev ki ağız dolusu olsun. 9. Tenasül uzvundan çıkan yel. 10. Arka taraftan rutubetsiz ve kokusuz bir halde çıkarılan hukne (kullanılmış ilaç). 11. Erkeğin tenasül uzvuna damlatılıp sonra geriye gelen yağ. 12. Donmuş bir halde kusulan kan parçası. 13. Baştan buruna veya kulağa kadar akıp gelen, fakat gusül için temizlenmesi icap eden bir yere kadar akmayan kan. 14. Kullanılan misvakta veya ısırılan sert bir meyve üzerinde görülen, fakat akıcılık haddine ulaştığı bilinmeyen kan. 15. Pire, kene gibi bir hayvanın doluncaya kadar emdiği kan. Sülükten akan kan ise abdesti bozar. 16. Saçların ve tırnakların kesilmesi. 17. Oturağı yere tamamen yerleştirmek suretiyle oturarak uyumak. 18. Namazda iken ayakta veya oturarak veya secde veya rükû halinde uyumak. 19. Namaz haricinde veya cenaze namazında veya tilâvet secdesinde kahkaha ile gülmek. 20. Herhangi bir vücuda veya tenasül uzvuna yalnız el ile temasta bulunmak. (Ömer Nasuhi Bilmen, Sualli Cevaplı Dini Bilgiler, s. 161)
Dostlarla muhabbet ederken yenice tanıştığımız ve aynı kuşaktan olduğumuz arkadaş “benim dedem doktordu” dedi. Yarım asrı geçen ömrümde bu cümleyi bir ya da iki kez duymu-şumdur. Okulda, iş dünyasında, sosyal çevrele-rimizde birlikte takıldığımız, yakınlaş-tığımız, yol arkadaşlığı yaptığımız dostlarımızın dedeleri arasında nereyse hiç üniversite mezunu yoktu. Dedelerimiz genelde çiftçi, çoban, işçi, kapıcı, olsa olsa esnaftı; ilkokul mezunu bile değillerdi. Dedesi lise mezunu, hele hele üniversite mezunu olanlarla yolumuz her nasılsa kesişmezdi, aynı ortamlarda bulunmaz, buluşmazdık.
Çalışmak için müsait gün ve saat bekleme. Bil ki, her gün ve her saat çalışmanın en müsait zamanıdır. Çalışmak için müsait yer ve köşe arama. Bil ki, her yer ve her köşe çalışmanın en müsait yeridir. Bir günde ve bir zamanda yapman lâzım gelen bir işi (bir dersi, bir vazifeyi) ertesi güne bırakma. Zira her günün derdi gibi, işi de kendine yeter. Bir zamanda yalnız tek bir iş yap, yalnız bir ders, bir kitap, hattâ bir fasıl üzerinde çalış. Tâ ki, dikkatin ve kuvvetin yayılıp zayıflamasın. Bir zamanda birden fazla iş yapayım diyen, hiçbirini tam ve temiz yapamaz. Dünyaca tanınmış olan büyük İslâm mütefekkiri İmam Gazali'ye İhya adlı muazzam eserini nasıl bir çalışma ile vücude getirdiğini sormuşlar: bir zamanda yalnız bir fasıl, bir bahis, bir mesele üzerinde çalıştım, demiş. Başladığın bir işi (Bir dersi, bir kitabı, bir vazifeyi) yapıp bitirmeden başka bir işe başlama. Yarıda kalan iş, başlanmamış demektir. Bir günün işini (dersini, vazifesini) bitirdikten sonra ertesi günü ne işi yapacağına karar ver. Yahut, hiç olmazsa çalışmağa başlamadan evvel, hangi iş (ders, kitap) üzerinde çalışacağını düşünüp kararlaştır ve çalışmaya bu kararla otur. Çalışmaya oturduğun zaman tıpkı ateş hattında düşmanı gözetleyen bir asker gibi uyanık ol, ve dikkat kesil. Ve bütün ruhi ve bedenî kuvvetinle kendini işe ver. Çalıştığın bir iş (bir ders, bir kitap, bir yazı) üzerinde herhangi bir güçlüğü yenmeden bir adım bile gerileme. Ve bil ki, yılgınlık maskeli bir tembelliktir. Gene bil ki, çalışma sevgisi güçlükleri yenmekten doğar ve kuvvetlenir. Güçlüğü yenmekten hasıl olan manevî zevk, eşsiz bir zevktir. Emin ol ki, harpte zafer ve işte muvaffakiyet yılmayanındır. Güçlükler erir ve imkânsız görünen, mümkün olur. (Ali Fuad Başgil, Gençlerle Başbaşa, s. 62)
ABD'nin Hürmüz Boğazı ablukası yürürlüğe girdi, İran Trump yönetiminden gelen açıklamalara tepki gösterdi. Cumhurbaşkanı Erdoğan, Özgür Özel'e yanıtında "butlan mesajı" olarak değerlendirilen bir ifade kullandı.Bu bölüm Filika hakkında reklam içermektedir. Filika'nın Yarından Önce seçkisi, teknoloji, güç ve insanın geleceği üzerine düşünmeye çağıran bir okuma ve söyleşi serisi sunuyor. Ayrıntılı bilgiye buradan ulaşabilirsiniz.
Adalet Bakanı Gürlek, sosyal medyaya T.C. kimlik numarasıyla giriş zorunluluğunun getirileceğini resmen açıkladı. ABD ve İran basını, İran'da bir ABD savaş uçağının düşürüldüğünü aktardı.Bu bölüm Filika hakkında reklam içermektedir. Filika ve Aposto işbirliğiyle hazırlanan “Yarından Önce” seçkisi, dünyadaki dönüşümü anlamak için altı kitaplık bir okuma ve tartışma serisi sunuyor. Ayrıntılı bilgiye buradan ulaşabilirsiniz.
Duayen Besteci, Söz Yazarı ve Yorumcu Selami Şahin Müzik Habercisi'nde Michael Kuyucu'ta "Selami Şahin Şarkıları 1-2-3" proje albümlerinde yer alan şarkıları ve bu projenin nasıl ortaya çıktığını anlatıyor.Hangi Selami Şahin besteleri bu proje albümünde yer aldı?Selami Şahin bu projede yer alan bestelerini nerede nasıl yazdı?Zeki Müren Klasiği "Gitme Sana Muhtacım" bestesini ne zaman kime yazdı? Zeki Müren bu besteyi ilk dinlediğinde nasıl bir tepki verdi?Eurovision Şarkı Yarışması için hazırladığı "Bu Şehirde" şarkısını Onno Tunç ile beraber nasıl hazırladı?Eşi Didem hanımı babasından neden üç kez istedi? Ona "Sanatçıya Kız Vermem" diyen babasının bu sözü karşısında neler hissetti ve dahası...
Bilgi felsefesi (epistemoloji) perspektifi, bir bilginin kaynağını, doğruluğunu, sınırlarını ve yapısını sorgulayan bir bakış açısıdır. Bir şeye sadece "bu böyledir" diyerek bakmak yerine; "Bunu nereden biliyorum?", "Bu bilginin kaynağı nedir?" ve "Bu bilgi ne kadar güvenilirdir?" sorularını merkeze alır. Bu perspektifi daha iyi anlamak için temel odak noktalarını şu başlıklarla inceleyebiliriz: Bir iddiaya bilgi felsefesi açısından baktığınızda, o bilginin size nasıl ulaştığını analiz edersiniz. Akılcılık (Rasyonalizm): Bilgi mantık ve düşünme yoluyla mı elde edildi? Deneyimcilik (Empirizm): Bilgi beş duyu ve deneyimle mi kanıtlandı? Sezgicilik: Bilgi içsel bir kavrayışla mı ortaya çıktı? Bir bilginin "doğru" kabul edilmesi için hangi kriterleri karşılaması gerektiğine bakar. Söylenen şey gerçeklikle örtüşüyor mu? (Uygunluk) Kendi içinde çelişki barındırıyor mu? (Tutarlılık) Herkes tarafından aynı şekilde mi kabul ediliyor? (Tümel Uzlaşım) İnsan zihninin neleri bilebileceğini ve neleri asla kavrayamayacağını tartışır. Örneğin; "Tanrı", "ruh" veya "evrenin sonu" gibi kavramlar deneyimlenemediği için bunlar hakkında "kesin bilgi" sahibi olmak mümkün müdür, yoksa bunlar sadece birer inanç mıdır? Diyelim ki bir arkadaşınız "Yarın yağmur yağacak" dedi. Bu duruma farklı perspektiflerden bakabilirsiniz: Pratik Perspektif: Yanıma şemsiye almalıyım. Bilgi Felsefesi Perspektifi: Bu bilgiye nasıl ulaştın? Meteoroloji verilerine mi (deneyimcilik) dayanıyorsun, yoksa dizlerin ağrıdığı için mi (sezgi/deneyim) böyle düşünüyorsun? Yağmurun yağması "doğru" bir bilgi midir, yoksa sadece güçlü bir tahmin mi? Bilgi felsefesi perspektifi takınmak; dogmatik (sorgulamadan kabul eden) tavrı bir kenara bırakıp, bilginin mutfağına girmek demektir. Bir verinin "bilgi" değerini kazanması için geçtiği zihinsel süreçleri irdelemektir. 1. Bilginin Kaynağı Sorgulaması2. Doğruluk ve Gerçeklik İlişkisi3. Bilginin SınırlarıGünlük Hayattan Bir ÖrnekÖzetle Learn more about your ad choices. Visit megaphone.fm/adchoices
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Bugün 19 Mart 2026 #dogatakvimi
Yarın Ramazan Bayramı. Zihinlerde dolaşan tek soru: Nerede o eski bayramlar? Bu bayram, şekerlerin tadından ziyade ağzımızdaki o kekremsi yalnızlık tortusunu konuşalım.
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İbrahim Türkuçar'ın Yarım Kalmış Hikâyeler Uzmanı adlı kitabından Flash Bellek adlı öyküsünü dinleyelim
Almanya'da katıldığı TV yarışmasında dikkatleri üzerine toplayan Zeynep Avcı, Stüdyo D'de İrfan Aslanhan'ın konuğu oldu. Yarışmadan sonra müzik yaşamının nasıl şekillendiğini, yeni şarkıları hakkındaki detayları ve sahne hayatına dair pek çok şeyi açıklarken, samimi ve eğlenceli bir sohbet gerçekleşti. Programı şimdi yeniden dinleyebilirsiniz…
Before she was Tasha Yar, she was Lieutenant Commander Macha Hernandez. For the Season 14 finale of The Trek Files, Denise Crosby joins Larry Nemecek to revisit her original 1987 audition sides for Star Trek: The Next Generation, including early character descriptions that reveal a very different version of the Enterprise's security chief. Denise first read for Deanna Troi before Gene Roddenberry made a pivotal switch, reshaping the role of Macha Hernandez into Tasha Yar to fit Denise's strengths. In this week's episode, Denise reflects on the audition process, her favorite scene between Troi and Yar that was never filmed, and what those early creative decisions revealed about the direction of TNG. She also shares memories of those uncertain early days of production, the risk of launching a syndicated sequel to an iconic series, and the emotional complexity of stepping into (and eventually stepping away from) such a historic role. Along the way, Denise speaks movingly about loss after the Palisades fire, resilience, fandom, and what it means to revisit Star Trek decades later. It's a revealing look at how a character evolves, how casting can reshape canon, and how even discarded script pages tell the story of Star Trek's creative DNA. Documents and additional references Star Trek: The Next Generation Casting Character Bios & Audition Sides (January 30, 1987) Original description of Lieutenant Commander Macha Hernandez and early security chief character concepts. Star Trek: The Next Generation Pilot Casting Sides (February 11, 1987) Troi/Yar audition scene never filmed for TNG. The Trek Files Season 14 on Memory Alpha All episodes and documents: The Trek Files on Memory Alpha Visit the Trekland site for behind-the-scenes access and exclusive merchandise. The conversation continues on Discord with live chats and the Roddenberry Podcasts community! Join today!
Before she was Tasha Yar, she was Lieutenant Commander Macha Hernandez. For the Season 14 finale of The Trek Files, Denise Crosby joins Larry Nemecek to revisit her original 1987 audition sides for Star Trek: The Next Generation, including early character descriptions that reveal a very different version of the Enterprise's security chief. Denise first read for Deanna Troi before Gene Roddenberry made a pivotal switch, reshaping the role of Macha Hernandez into Tasha Yar to fit Denise's strengths. In this week's episode, Denise reflects on the audition process, her favorite scene between Troi and Yar that was never filmed, and what those early creative decisions revealed about the direction of TNG. She also shares memories of those uncertain early days of production, the risk of launching a syndicated sequel to an iconic series, and the emotional complexity of stepping into (and eventually stepping away from) such a historic role. Along the way, Denise speaks movingly about loss after the Palisades fire, resilience, fandom, and what it means to revisit Star Trek decades later. It's a revealing look at how a character evolves, how casting can reshape canon, and how even discarded script pages tell the story of Star Trek's creative DNA. Documents and additional references Star Trek: The Next Generation Casting Character Bios & Audition Sides (January 30, 1987) Original description of Lieutenant Commander Macha Hernandez and early security chief character concepts. Star Trek: The Next Generation Pilot Casting Sides (February 11, 1987) Troi/Yar audition scene never filmed for TNG. The Trek Files Season 14 on Memory Alpha All episodes and documents: The Trek Files on Memory Alpha Visit the Trekland site for behind-the-scenes access and exclusive merchandise. The conversation continues on Discord with live chats and the Roddenberry Podcasts community! Join today!
Before she was Tasha Yar, she was Lieutenant Commander Macha Hernandez. For the Season 14 finale of The Trek Files, Denise Crosby joins Larry Nemecek to revisit her original 1987 audition sides for Star Trek: The Next Generation, including early character descriptions that reveal a very different version of the Enterprise's security chief. Denise first read for Deanna Troi before Gene Roddenberry made a pivotal switch, reshaping the role of Macha Hernandez into Tasha Yar to fit Denise's strengths. In this week's episode, Denise reflects on the audition process, her favorite scene between Troi and Yar that was never filmed, and what those early creative decisions revealed about the direction of TNG. She also shares memories of those uncertain early days of production, the risk of launching a syndicated sequel to an iconic series, and the emotional complexity of stepping into (and eventually stepping away from) such a historic role. Along the way, Denise speaks movingly about loss after the Palisades fire, resilience, fandom, and what it means to revisit Star Trek decades later. It's a revealing look at how a character evolves, how casting can reshape canon, and how even discarded script pages tell the story of Star Trek's creative DNA. Documents and additional references Star Trek: The Next Generation Casting Character Bios & Audition Sides (January 30, 1987) Original description of Lieutenant Commander Macha Hernandez and early security chief character concepts. Star Trek: The Next Generation Pilot Casting Sides (February 11, 1987) Troi/Yar audition scene never filmed for TNG. The Trek Files Season 14 on Memory Alpha All episodes and documents: The Trek Files on Memory Alpha Visit the Trekland site for behind-the-scenes access and exclusive merchandise. The conversation continues on Discord with live chats and the Roddenberry Podcasts community! Join today!
Bugün 31 Ocak 2026 #doğatakvimi
8 Ocak 2025'de kaybettiğimiz, edebiyatımızın büyük ustası Selim İleri'ye adanmış bir bölümle geliyor bu kez ben okurum. Deniz Yüce Başarır, editor ve yazar konuğu Mustafa Çevikdoğan ile birlikte, 2004 yılında yayımlanan romanı Yarın Yapayalnız'danyola çıkarak, İleri'nin yazarlık anlayışını, edebiyata olan aşkını ve kişiliğini derinlemesine aktarmak için yola çıkıyor. Tabii sohbet ikilinin usta yazarla kişisel anılarına da uğruyor. Ve Yarın Yapayalnız'ın hüzünlü satırlarını da yansıtıyor her zamanki gibi.
Yeni Dünya'nın bu bölümünde iklim krizini mercek altına alıyoruz! İklim krizinde gezegen olarak kritik eşiği geçtik. İklim krizinin etkileri hızlanarak hayatlarımızı etkiliyor. Peki Türkiye ve dünyayı nasıl bir gelecek bekliyor? Bundan sonra ne yapmalıyız? Hayatlarımız nasıl değişecek? Kaynaklar:IPCC – AR6 Synthesis Report https://www.ipcc.ch/report/ar6/syr/UNEP – Emissions Gap Report https://www.unep.org/resources/emissions-gap-report-2025WMO – State of the Global Climate https://wmo.int/publication-series/state-of-global-climate-2024Global Carbon Project – Global Carbon Budget https://globalcarbonbudget.org/World Bank – Climate Change Knowledge Portal https://climateknowledgeportal.worldbank.org/WWF-Türkiye – “Türkiye'nin Yarınları Projesi” Final Raporu https://d2hawiim0tjbd8.cloudfront.net/downloads/wwf__turkiyenin_yarinlari_projesi_final_raporu.pdf?3420= D2Hawiim CloudfrontWWF-Türkiye – İklim ve Enerji https://www.wwf.org.tr/kesfet/iklim_ve_enerji/ WWF Türkiye
Meta, That's No Moon. Martian Dust Devils. Everyone Wing Chun Tonight. Lightning Zero. All I Can Afford is a Monday. Full Hasidic Hitman. You'll have no hot dogs, no potato chips and no Lt. Yar! A SNEAK FROM BEHIND WITH DUNAWAY. What's Up Drafts? Mad Max counter RESET. I Do Like Matthew Rheeeeeeeees. Everybody. Blame Some Body. The Whirlypigs of Time bring their revenges. Vertical Updrafts FTW. Discharging With Bobby and more on this episode of The Morning Stream. Hosted on Acast. See acast.com/privacy for more information.
Meta, That's No Moon. Martian Dust Devils. Everyone Wing Chun Tonight. Lightning Zero. All I Can Afford is a Monday. Full Hasidic Hitman. You'll have no hot dogs, no potato chips and no Lt. Yar! A SNEAK FROM BEHIND WITH DUNAWAY. What's Up Drafts? Mad Max counter RESET. I Do Like Matthew Rheeeeeeeees. Everybody. Blame Some Body. The Whirlypigs of Time bring their revenges. Vertical Updrafts FTW. Discharging With Bobby and more on this episode of The Morning Stream. Hosted on Acast. See acast.com/privacy for more information.
Avrupa'nın en büyük kültürel etkinliği bir kez daha eğlence ve jeopolitik gerilim arasında sıkışmış durumda. Avrupa Yayın Birliği'nin İsrail'in 2026 Eurovision Şarkı Yarışması için uygunluğunu resmen onaylamasının ardından dört ülke - İspanya, Hollanda, İrlanda ve Slovenya - derhal yarışmadan çekildi.
Epeydir Nadir Toprak Elementleri konuşuluyor.Medyada pek çok haber yer alıyor.Bu elementler nedir?Gerçekten nadir midir?Niçin dünyada bu elementleri için büyük bir çekişme yaşanıyor?Türkiye bu elementler açısından nasıl bir potansiyele sahip?Yarın, öbür gün bu elementleri satarak zengin bir ülke olma ihtimalimiz var mı?Her şeyiyle Nadir Toprak Elementleri'ni anlattım.Biliyorsunuz Yeni Haller sizlerin desteğiyle yayın hayatına devam eden bir podcast kanalı.Beni aşağıdaki link'lerden destekleyebilirsiniz:www.patreon.com/yenihallerYeni Haller'in bir de Buy Me A Coffee hesabı var artık. Buradan destek olmak çoook daha kolay. Patreon'da sorun yaşayanlar için açtım efendim. Buyurun:https://www.buymeacoffee.com/yenihallerBir de bu sezon spor basınımızda apayrı yeri olan, ben ustam olarak kabul ettiğim Yiğiter Uluğ'la T24'ün Youtube kanalında bir spor programına başladık. Korkmayın, sadece futbol konuşmuyoruz. Hele sahadaki skorları, maçları hiç konuşmuyoruz. Yeni Haller tadında spor sohbeti isteyenler için:Yiğiter Uluğ ve Eray Özer'le GazozunaBana ulaşmak için:https://www.instagram.com/eray_ozerhttps://twitter.com/ErayOzeryenihallerpodcast@gmail.com
Don't put car batteries in your pants. I could lick a car for days. Pee Pickle Porcupine. I don't like greasy keeeeeeeeeeys! Depantsing Dracula. Still Can't Get the Hang of Wednesdays. Wandering Vegas looking for a Special Noodle. Coke Zero is Better Than Diet Coke: DISCUSS. Non-adhesive condiments. Driveolepsy. Greazy Keyboard. You'll have no alcohol, no guns and no Lt. Yar! Don't Dogorrito and Drive. Steve Harvey and Cockney Rebel. Giving Us Us with Tom and more on this episode of The Morning Stream. Hosted on Acast. See acast.com/privacy for more information.
Don't put car batteries in your pants. I could lick a car for days. Pee Pickle Porcupine. I don't like greasy keeeeeeeeeeys! Depantsing Dracula. Still Can't Get the Hang of Wednesdays. Wandering Vegas looking for a Special Noodle. Coke Zero is Better Than Diet Coke: DISCUSS. Non-adhesive condiments. Driveolepsy. Greazy Keyboard. You'll have no alcohol, no guns and no Lt. Yar! Don't Dogorrito and Drive. Steve Harvey and Cockney Rebel. Giving Us Us with Tom and more on this episode of The Morning Stream. Hosted on Acast. See acast.com/privacy for more information.
Send us a textJoin director, and former child actor Moosie Drier, and author Jonathan Rosen, as they chat with the creator of the most infamous video game of all time, E.T. for the Atari 2600, Howard Scott Warshaw!Howard discusses being rushed into making E.T., working with Steven Spielberg on the game, designing other video games like Yar's Revenge and Raiders of the Lost Ark, having all the E.T. cartridges buried in a New Mexico desert, and much more!Support the show
Send us a textJoin director, and former child actor Moosie Drier, and author Jonathan Rosen, as they chat with the creator of the most infamous video game of all time, E.T. for the Atari 2600, Howard Scott Warshaw!Howard discusses being rushed into making E.T., working with Steven Spielberg on the game, designing other video games like Yar's Revenge and Raiders of the Lost Ark, having all the E.T. cartridges buried in a New Mexico desert, and much more!Support the show
durée : 00:46:36 - Affaires sensibles - par : Fabrice Drouelle, Franck COGNARD - Aujourd'hui dans Affaires Sensibles, Babi Yar, histoire et mémoire d'un massacre nazi durant la Seconde guerre mondiale. - réalisé par : Helene Bizieau Vous aimez ce podcast ? Pour écouter tous les autres épisodes sans limite, rendez-vous sur Radio France.
İstanbul'un beş ilçesinde seçim kurulu, CHP'nin hazırlıkları devam eden kongrelerini "tedbiren" durdurma kararı aldı. Filenin Sultanları, 2025 FIVB Dünya Şampiyonası'nda ABD'yi 3-1 yenerek yarı finale yükseldi.Bu bölüm Yapı Kredi hakkında reklam içermektedir. Bilimsel araştırmalara göre çocukların bilişsel gelişiminin %95'i 0-6 yaş arasındaki dönemde tamamlanıyor. Yapı Kredi, bu kritik dönemde çocukların eğitimine destek olmak amacıyla Yarınlara Kartopu projesini yürütüyor. Ayrıntılı bilgiye buradan ulaşabilirsiniz.
Pooperware. I have a title. It's a title. Doing accidental math. Dirty Sanchez Productions. Dickhouse? Dickhouse! Beethoven's unfinished Vader's March. ProtoKaren. Please don't use your phone. I want townships and prefectures! Irish Pickles. Shittin in a ziplock. Baklava not baklava. Skibidi Toilet of the Day. You'll have NO burroughs, NO parishes, and NO Lt. Yar! What the hell is a no eat bacon day and more on this episode of The Morning Stream. Hosted on Acast. See acast.com/privacy for more information.
Pooperware. I have a title. It's a title. Doing accidental math. Dirty Sanchez Productions. Dickhouse? Dickhouse! Beethoven's unfinished Vader's March. ProtoKaren. Please don't use your phone. I want townships and prefectures! Irish Pickles. Shittin in a ziplock. Baklava not baklava. Skibidi Toilet of the Day. You'll have NO burroughs, NO parishes, and NO Lt. Yar! What the hell is a no eat bacon day and more on this episode of The Morning Stream. Hosted on Acast. See acast.com/privacy for more information.
You'll have no Kimchi, no horseradish and no Lt. Yar! Copycat Dipshitter. Tumor fruit. Port a Potty Perks. Shriracha Schmear. Gotta Go At Costco. Ass Cheek to Ass Cheek. I Dream Of GKneeeeeeeeeeeeeeeeeeeeeeeeeeeee! Neither a Miracle, Nor a Whip. Runner butt poo. Friendly Wackadoo. Non-Organic Dipshits. The darker the berry the hotter it is. John Wayne's Sperm. Tech Time with Mr. Las Vegas Tom Merritt. Alicia Stockholm Recommentals with Randy and Nicole and more on this episode of The Morning Stream. Hosted on Acast. See acast.com/privacy for more information.
You'll have no Kimchi, no horseradish and no Lt. Yar! Copycat Dipshitter. Tumor fruit. Port a Potty Perks. Shriracha Schmear. Gotta Go At Costco. Ass Cheek to Ass Cheek. I Dream Of GKneeeeeeeeeeeeeeeeeeeeeeeeeeeee! Neither a Miracle, Nor a Whip. Runner butt poo. Friendly Wackadoo. Non-Organic Dipshits. The darker the berry the hotter it is. John Wayne's Sperm. Tech Time with Mr. Las Vegas Tom Merritt. Alicia Stockholm Recommentals with Randy and Nicole and more on this episode of The Morning Stream. Hosted on Acast. See acast.com/privacy for more information.
Found a Vein, You Probably Think This Blood is About You. Barely Food. Can I Have That Black Crayon Now. Sloan Malone Ramone. Real Ibbotts Do Wear Plaid. In Tolbert We Trust. The Sedona doughnut. Nillanananutters. Crunchy Hornets. Fig Newton of your Imagination. No sugar, no flies and no Lt. Yar!!! Turtle Shell jock strap. Gimme the Harley phlebotomist. The dog went to live on a farm upstate... where they shot him. Yay, Dog Heaven with Wendi and more on this episode of The Morning Stream. Hosted on Acast. See acast.com/privacy for more information.
Found a Vein, You Probably Think This Blood is About You. Barely Food. Can I Have That Black Crayon Now. Sloan Malone Ramone. Real Ibbotts Do Wear Plaid. In Tolbert We Trust. The Sedona doughnut. Nillanananutters. Crunchy Hornets. Fig Newton of your Imagination. No sugar, no flies and no Lt. Yar!!! Turtle Shell jock strap. Gimme the Harley phlebotomist. The dog went to live on a farm upstate... where they shot him. Yay, Dog Heaven with Wendi and more on this episode of The Morning Stream. Hosted on Acast. See acast.com/privacy for more information.
Batman Nipple Guy. The Dick Van Dyke of Accents. Fubby McGubby. Soakin' in Science. Boat Scrote. No Hands, No Lungs and No Lt. Yar. Toast your Digital Buns. IQ might be his lowest extremity. Cool Teeth. I have relatives in Estes Park. Good guess: itâs wrong but itâs a good guess. The Paul Hogan of British Accents. Cockney, but not 'Enry 'Iggins Cockney. Pre'y Moun'ains. Magic Naps with Wendi and more on this episode of The Morning Stream. Hosted on Acast. See acast.com/privacy for more information.
Japanese Breakfast (Michelle Zauner) is back with her first new album since her memoir, Crying in H Mart, blew up. We've got the first single from it, plus a Sufjan Stevens-produced Denison Witmer track and more.Enjoy the show? Share with a friend and leave us a review wherever you listen to podcasts. Questions, comments, suggestions or feedback of any kind always welcome: allsongs@npr.org Hear the songs in our Apple and Spotify playlists.Featured artists and songs: 1. Deep Sea Diver: "Shovel," from Billboard Heart2. SPELLLING: "Portrait of My Heart," from Portrait of My Heart 3. Japanese Breakfast: "Orlando in Love," from For Melancholy Brunettes (& sad women)4. Derya Yıldırım & Grup Şimşek, "Hop Bico" from Yarın Yoksa5. Denison Witmer: "A House With," from Anything At All6. DARKSIDE: "S.N.C," from NothingLearn more about sponsor message choices: podcastchoices.com/adchoicesNPR Privacy Policy
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