Podcasts about Lambda

Lambda lambda (romanticamente) lambda, nerds! Mas que surpresa, hein? Qual seria o tema de um NerdCast publicado no dia 12 de junho? hehehe...  Neste especial, junte-se à família Jovem Nerd (e as presenças elegantérrimas de Marcelinho e Sr. K) para mais uma transmissão da nossa rrrádio rrromântica! Há 17 anos formando casais, criando traumas e aguentando as histórias (e fanfics!) mais desvairadas dos nossos ouvintes apaixonados! Hasbro Ultimate Grogu. Animatronic em escala real com 37 centímetros, disponível para pré-venda! Saiba mais: https://jovemnerd.short.gy/hasbro_namorados_grogu Nvidia Notebooks RTX. Seu par perfeito para o dia dos namorados: https://jovemnerd.short.gy/nvidia_namorados ChatGPT De decoração da casa até o churrascão com os amigos, deixe a IA te ajudar em tudo: https://jovemnerd.short.gy/chatgpt_nc1 NerdStore Dia dos Namorados NerdStore! Até 14 DE JUNHO, compre um moletom e ganhe uma camiseta: https://jovemnerd.short.gy/nerdstore_namorados Jovem Nerd Esporte Clube Bola em campo! Assista ao primeiro jogo do Brasil em live com o Príncipe Vidane neste sábado, 13 de junho: https://www.youtube.com/watch?v=R6OguVPO-Hs Assista/ouça o JNEC: https://linktr.ee/jnesporteclube ATENÇÃO: ESTE EPISÓDIO CONTEM UMA PISTA PARA A CAÇADA DOS SELOS DO EVENTO DE 20 ANOS DO NERDCAST! OUVINTES CITADOS NO PROGRAMA: Luiza (@luizabhedlund) Murilo (@murilohdelgado) "Josh Kedward" (@kedward.josh) Raphael (@raphael.rapaz) Juliana (@dezleal) "A Imagem Perdida", curta do casal do motel infernal: https://www.instagram.com/aimagemperdida CONFIRA OS OUTROS CANAIS DO JOVEM NERD E-MAILS Mande suas críticas, elogios, sugestões e caneladas para nerdcast@jovemnerd.com.br APP JOVEM NERD: Google Play Store | Apple App Store ARTE DA VITRINE: Randall Random Baixe a versão Wallpaper da vitrine EDIÇÃO COMPLETA POR RADIOFOBIA PODCAST E MULTIMÍDIA Learn more about your ad choices. Visit megaphone.fm/adchoices

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Lambda Weekly 05-31-26 by

Lambda lambda HOO-CHA-CHA, nerds! É hora de mergulharmos em sombras, chapéus, intrigas e muita, mas MUITA fumaça de cigarro com SPIDER-NOIR!  Neste NerdCast, Mr. Alottoni, Carlos Voltor, LOAD, Lady Katiucha e Capo Azaghal falam sobre o sonho nerd de Nicolas Cage, na primeira temporada da série que finalmente colocou o maior ator do mundo como o super-herói mais estiloso e irresponsável ever! Afinal, você assistiu em Preto e Branco, ou da maneira ERRADA?! NerdStore Estampa Sr. K: "Não é o ideal, mas acontece!" e outros produtos maneiríssimos do universo Jovem Nerd disponíveis na Lolja: https://jovemnerd.short.gy/nerdstore_srk CITADO NA LEITURA DE E-MAILS Tormenta: Expedição Escarlate - Apoie o financiamento coletivo até 10 DE JUNHO DE 2026: https://www.catarse.com.br/expedicaoescarlate O Mundo Em Xeque - Lançamento do livro do Filipe Figueiredo (Nerdologia, Xadrez Verbal) em 9 DE JUNHO, às 19h, na Drummond Livraria (Conjunto Nacional - São Paulo). Canal da ouvinte Laís Kawaata no YouTube: https://www.youtube.com/@laiskawaata CONFIRA OS OUTROS CANAIS DO JOVEM NERD E-MAILS Mande suas críticas, elogios, sugestões e caneladas para nerdcast@jovemnerd.com.br APP JOVEM NERD: Google Play Store | Apple App Store ARTE DA VITRINE: Randall Random Baixe a versão Wallpaper da vitrine EDIÇÃO COMPLETA POR RADIOFOBIA PODCAST E MULTIMÍDIA Learn more about your ad choices. Visit megaphone.fm/adchoices

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Lambda lambda lambda, nerds! Depois de 7 anos e 5 temporadas, é hora do adeus diabólico de THE BOYS.  Neste NerdCast, Alottoni, Marcela Versiani, LOAD, Katiucha Barcelos e Azaghal se juntam à resistência para tratar do desfecho da série que desconstruiu os super-heróis. Afinal, foi bom pra você, ou Game of Thrones e Stranger Things acabam de ganhar mais uma irmã de finais horríveis? Listerine Hálito sempre fresco com o enxaguante bucal mais completo: https://jovemnerd.short.gy/Listerine_NC Contabilizei Nunca foi tão fácil abrir o seu CNPJ: https://jovemnerd.short.gy/contabilizei_nc2 CITADO NA LEITURA DE E-MAILS Ouça o episódio e resolva a QUINTA charada na busca dos 20 selos para o evento de 20 Anos do NerdCast. Confira as datas e programas no Instagram @jovemnerduniverse Pedido de doação de sangue para IRINEU GAITKOSKI | Banco de Sangue - Rua São Manoel, Rio Branco - Porto Alegre. EDITORA FOLHETIM: Projeto do ouvinte Gabriel Lima Instagram: https://www.instagram.com/editorafolhetim/ Loja Online: https://editorafolhetim.lojavirtualnuvem.com.br/ CONFIRA OS OUTROS CANAIS DO JOVEM NERD E-MAILS Mande suas críticas, elogios, sugestões e caneladas para nerdcast@jovemnerd.com.br APP JOVEM NERD: Google Play Store | Apple App Store ARTE DA VITRINE: Randall Random Baixe a versão Wallpaper da vitrine EDIÇÃO COMPLETA POR RADIOFOBIA PODCAST E MULTIMÍDIA Learn more about your ad choices. Visit megaphone.fm/adchoices

Lambda lambda lambda, nerds! Se você está se perguntando por que este NerdCast foi feito, sinceramente, a gente também! Mas ei, ALEXANDRE OTTONI está de volta à cultura pop, isso conta pra algo, né?!  Neste episódio, chamamos Natália Kreuser, Marcelo Bassoli e o eterno otimista Carlos Voltor para falar sobre O Justiceiro: Uma Última Morte, o curta/episódio/apresentação especial da Marvel que trouxe nosso amado Frank Castle de volta, mas... precisava? Contabilizei Abra seu CNPJ com a Contabilizei e ganhe a segunda mensalidade grátis usando o cupom NERDCAST: https://jovemnerd.short.gy/contabilizei_nc1 Hostinger Crie seu site com facilidade e 10% de desconto utilizando o cupom JOVEMNERD: https://jovemnerd.short.gy/hostinger_nc2 Dia da Toalha 2026 Ele voltou! Participe da live dia 25 de maio, a partir das 19h, aqui no YouTube do Jovem Nerd: https://youtube.com/live/J4SxBuVUvEE Poste uma foto CRIATIVA com a sua toalha no Instagram, com a hashtag #DiadaToalhaJN, seguindo os perfis @jovemnerd e @jovemnerduniverse para concorrer a prêmios. CITADO NA LEITURA DE E-MAILS Curta metragem "EMERGÊNCIA!", baseado em leitura de e-mails do NC: https://www.youtube.com/watch?v=IWAkASpKk6E CONFIRA OS OUTROS CANAIS DO JOVEM NERD E-MAILS Mande suas críticas, elogios, sugestões e caneladas para nerdcast@jovemnerd.com.br APP JOVEM NERD: Google Play Store | Apple App Store ARTE DA VITRINE: Randall Random Baixe a versão Wallpaper da vitrine EDIÇÃO COMPLETA POR RADIOFOBIA PODCAST E MULTIMÍDIA Learn more about your ad choices. Visit megaphone.fm/adchoices

Why does the rough mix always feel like the real song - and how the hell do you get that magic back without ruining it?In this episode, Pat Sansone and I go deep into the lifelong puzzle of mixing: why the first tracking rough has all the energy, how chasing it can make you crazy, and why mixing is really more like photography than engineering. Pat walks through how his visual art - Polaroids, slide film, CMYK vs RGB, Lambda printing - has taught him to trust instinct, appreciate imperfections, and approach mixes like developing a print rather than fixing a file. We talk about turning the screen off while playing a mix, the weird phenomenon of hearing a song differently once another person walks into the room, and why limitations make better records.We also dive into Pat's history with The Autumn Defense, Wilco, and the Big Star universe. Pat shares memories of making The Green Hour and Circles at my house - dragging the JH-16 up the stairs, tracking G-Whiz in the basement, and writing “The Answer” face-to-face with John Stirratt twenty feet from where we sat for this interview. He explains how the new Autumn Defense record Here and Nowhere came together after an eleven-year break, why Creative Workshop became the perfect studio for it, how Teddy Morgan helped capture tones, and why he still records acoustic and vocal together whenever possible. We get into gear, mic choices (KM84s, SM58s, Sony lavs), the struggle of acoustic/vocal bleed, and the random chaos of synths, plugins, and sessions that don't open right years later.Pat also talks about his photography book Noticing, his Infinity Mirrors ambient synth album, and how wandering with a camera unlocked the same creative freedom he felt as a teenager with a Korg Poly-6. He explains how Nashville re-energized his creative life - from running into Robyn Hitchcock in the cereal aisle at Turnip Truck to singing ooohs at Brendan Benson's studio the next day. We share memories of New Orleans, Chicago, analog tape, Pro Tools Mix+, transferring Birdy on the Moon tracks, losing Josh Shapera, and the role Creative Workshop played in Pat's “Nashville phase two.”By the end, we're talking Big Star, Eggleston photographs, orchestral arrangements, radio DJing, and why slide film and tube mics scratch the same itch. It's a wide-open conversation about creativity, sound, light, limitations, mistakes, rough mixes, and how to stay inspired for a lifetime.Get access to FREE mixing mini-course: https://MixMasterBundle.comTHANKS TO OUR SPONSORS!http://UltimateMixingMasterclass.comhttps://usa.sae.edu/ https://www.izotope.com Use code ROCK10 to get 10% off!https://www.native-instruments.com Use code ROCK10 to get 10% off!https://www.spectra1964.comhttps://gracedesign.com/https://pickrmusic.com https://RecordingStudioRockstars.com/Academyhttps://www.thetoyboxstudio.com/Listen to the podcast theme song “Skadoosh!” https://solo.to/lijshawmusicListen to this guest's discography on Spotify:https://open.spotify.com/playlist/0ZJrYkHqfDba4iL2InbLk9?si=HndgYrlWRzGusV2yOwzVagIf you love the podcast, then please leave a review: https://RSRockstars.com/ReviewCLICK HERE FOR COMPLETE SHOW NOTES AT: https://RSRockstars.com/559

We take a deep dive into Amazon S3 Files, AWS's exciting new managed file system backed by S3! We kick things off by exploring why S3 isn't a traditional file system, covering everything from the lack of true directories and atomic renames to immutable objects and POSIX access control differences. We then walk through the existing solutions people have used to bridge that gap, like S3FS FUSE, MountPoint for S3, FSx for Lustre, and Storage Gateway. From there, we get into the heart of the episode: how S3 Files works, how to set it up, and how it uses EFS under the hood as a caching layer. We share our own real-world benchmarking results comparing S3 Files against various EFS configurations across Lambda and Fargate, and we discuss a real customer project where we put S3 Files to the test. We also cover the important caveats like eventual consistency, the 60-second write-back delay, the lack of cross-account bucket support, and the cost model so you can make an informed decision.Resources mentionedEpisode 124: S3 PerformanceEpisode 95: Mounting S3 as a FilesystemAmazon S3 FAQs: S3 FilesfourTheorem S3 Files demo code on GitHubAmazon documentation: Understanding how synchronization worksSponsor Thanks to fourTheorem for powering AWS Bites. We help teams build cloud systems that are simple, scalable, and cost effective. Visit fourtheorem.com.Chapters00:00 Introduction: Why S3 is amazing but not a file system, and what S3 Files promises to solve01:47 Why S3 is not a file system: no true directories, immutable objects, no atomic renames, expensive listings, and POSIX differences05:23 Existing solutions for mounting S3 as a file system: S3FS FUSE, Python fsspec, Hadoop S3A, MountPoint, FSx for Lustre, File Cache, and Storage Gateway07:16 How S3 Files works: NFS-based access, EFS caching layer, streaming from S3, and supported compute services like EC2, ECS, EKS, and Lambda09:49 Setting up S3 Files: buckets, file system resources, import and expiration rules, mount targets, access points, VPC requirements, and NFS port configuration13:42 S3 Files performance numbers from AWS documentation: throughput, IOPS, latency figures, and why real-world benchmarking is recommended15:39 Benchmarking S3 Files vs EFS configurations on Lambda and Fargate: small and large file reads and writes, memory/CPU impact, and key findings19:48 Downsides and limitations: NFS only, no hard links, no atomic renames, eventual consistency, the 60-second write-back delay, and large-scale rename performance warnings23:05 Real-world project experience: a SaaS multi-tenant architecture, cross-account bucket limitation discovered, and how the team worked around it27:52 Cost breakdown: EFS-equivalent cache pricing, S3 storage costs, reads from cache vs. S3 directly, and how S3 access tiers still apply29:50 Final recap and take: when S3 Files shines, when to be cautious, mixed access pattern warnings, and an invitation to share your own experiences33:42 ClosingSend us your AWS questions Do you have any AWS questions you would like us to address? Leave a comment here or connect with us on X/Twitter, Bluesky, or LinkedIn: Eóin: Bluesky | LinkedIn Luciano: X/Twitter | Bluesky | LinkedIn

Lambda Weekly 04-17-26 by

Take the 2026 AI Engineering Survey and get >$2k in credits and AIE WF tickets!On the product side, everyone is getting Computer - Perplexity, Manus, Cursor, and so on. Meanwhile on the research side, agentic evals like TerminalBench and GDPVal are also assuming computer (Harbor). On both ends, the consolidating LLM OS stack has become a standard toolkit, and Daytona is one of a small set of AI Infra companies that are booming because of it.“The end of localhost” has been Ivan Burazin's obsession for more than a decade.Something that is all too familiar…Long before agents became the default way people talked about software development, Ivan was already chasing the idea that development should not depend on a fragile local machine. CodeAnywhere, one of the first browser-based IDEs, was an early attempt at that future: move the development environment into the cloud, make setup reproducible, and free developers from the endless “works on my machine” tax.The thesis was directionally right, but the market wasn't ready yet.However, agents changed that. They do not care about a laptop, desk setup, or favorite editor. They need a computer they can access through an API: something stateful enough to keep working, fast enough to spin up instantly, flexible enough to resize, isolated enough to be safe, and composable enough to run the messy real-world workflows that real software engineering actually requires.Daytona isn't just selling “sandboxes” in the narrow code-execution sense. It is the latest version of Ivan's original localhost thesis.In this episode, Daytona's CEO joins swyx to explain why AI agents need more than code execution boxes: they need composable computers, stateful sandboxes, instant startup, dynamic resources, and infrastructure that can survive workloads going from zero to 100,000 CPUs.We go deep on the new agent compute market: Daytona's hard pivot from human dev environments to AI sandboxes, the New Year's Eve MVP that customers begged for, why Daytona runs on bare metal with its own scheduler, how one customer runs almost 850,000 sandboxes a day, and why RL/eval workloads went from 0% to roughly 50% of usage in just months. Ivan also explains why agents need Windows and macOS machines, why CLI may matter more than MCP, why Kubernetes is painful for this workload, and why the future AI cloud may look more like Stripe than AWS.We discuss:* How Daytona grew out of CodeAnywhere, Shift, and the “end of localhost” thesis* Why Daytona pivoted from human dev environments to AI sandboxes* Why agents need composable computers instead of disposable code execution boxes* The New Year's Eve MVP that customers chased API keys for* Why Daytona chose bare metal, stateful snapshots, and its own scheduler* How Daytona spins up one sandbox in ~60ms and 50,000 sandboxes in ~75 seconds* Why Daytona's biggest customer runs ~850,000 sandboxes a day* How RL/eval workloads create zero-to-100,000 CPU spikes* Why RL workloads went from 0% to roughly 50% of Daytona usage* Why customers compare Daytona against EKS/GKS and say they're “never going back”* Why every AI agent may need a computer, including Windows and macOS environments* The Apple licensing constraints that make macOS sandboxes hard* Why CLI gives agents more power than MCP* How open source helps agents integrate Daytona* Why agent-generated PRs may break today's CI/CD assumptions* Why AI SaaS companies reselling tokens may face a cold shower* Why the AI cloud may look more like Stripe than AWSIvan Burazin* LinkedIn: https://www.linkedin.com/in/ivanburazin* X: https://x.com/ivanburazinDaytona* Website: https://www.daytona.io* X: https://x.com/daytonaioTimestamps* 00:00:00 Hook* 00:01:12 Introduction* 00:03:15 CodeAnywhere, Shift, and the end of localhost* 00:05:58 What Daytona is: composable computers for AI agents* 00:08:07 The pivot from dev environments to AI sandboxes* 00:10:17 The New Year's Eve MVP and customers begging for API keys* 00:12:56 Bare metal, stateful sandboxes, and Daytona's scheduler* 00:17:28 60ms startup, 50,000 sandboxes, and 850K daily runs* 00:21:53 Spiky RL/eval workloads and the new agent infra problem* 00:28:12 RL workloads, Kubernetes pain, and dynamic resizing* 00:33:31 Why every AI agent needs a computer* 00:38:48 macOS sandboxes and Apple's licensing problem* 00:44:28 Why CLI may matter more than MCP* 00:48:11 Open source, GitHub stars, and agent integration* 00:53:11 Git, CI/CD, and agent collaboration bottlenecks* 00:58:15 Founder life and building a 25-person infra company* 01:02:44 AI SaaS, token resale, and API-first business models* 01:06:10 GPU sandboxes, data centers, and compute growth* 01:09:48 Why the AI cloud may look more like Stripe than AWS* 01:11:26 Closing thoughtsTranscriptIntroduction: Daytona, CodeAnywhere, and the End of LocalhostSwyx [00:00:02]: Okay, we're in the studio with Ivan Burazin, CEO of Daytona. Welcome.Ivan [00:00:07]: Thanks for having me, man.Swyx [00:00:08]: Ivan, you and I go back.Ivan [00:00:10]: Way back.Swyx [00:00:11]: How I don't even know how, you found, did you reach out or, for Shift.Ivan [00:00:17]: I reached out to you. The reason was you - we were just - we were thinking about I was one of the co-founders of CodeAnywhere, the first browser-based IDE, and so we were thinking a long time of, localhost should die. And you had this article.Swyx [00:00:29]: End of localhost.Ivan [00:00:30]: Then I reached out to you because of that, and then we talked, and I was actually at a different job and learning about I was the head of, developer experience, and you were quite well-versed in that, and I actually reached out to you, among other people, how do we go about that? What are the key things and whatnot at this point in time? And you were nice enough to take the call, and I remember I was late on your call with you.Swyx [00:00:51]: I don't remember.Ivan [00:00:52]: I remember because I was with my then I'm thinking of a girlfriend or wife at that point in time, I'm not sure. It's the same person, so that's great, and I was late ‘cause we were, in, Italy on, vacation, and then I was late for something. I felt so bad, and you were so nice to be, good about.Swyx [00:01:10]: The reason I'm nice is because I'm also late to other people, so it's like, who's, who's without sin here, yeah, so I have to, for those who don't know, InfoBip Shift, there's this whole thing that, you did in the past, and, and that was basically one of the inspirations for me starting AI Engineer, which is like, I have to thank you for giving me that push to be like, “Oh, you can, you can build and sell conferences?”Ivan [00:01:34]: I remember you asked you asked me at the beginning to give me advisory shares, and I was so focused on what we were doing, I said no, and I should've took the advisory shares. So I'm sorry, dude. But anyway.Swyx [00:01:43]: We're not, we're not venture backed.Ivan [00:01:44]: No, it doesn't matter.Swyx [00:01:45]: It's Yeah, anyway, so I think what's impressive about you is that CodeAnywhere is the thing that you've been trying to build, and, you kind of put it on hold and then came back after InfoBip. Just give us the story, do you - the story and the origin story, going into Daytona.From CodeAnywhere and Shift to DaytonaIvan [00:02:05]: Sure. Like, really way back, me and my co-founder have been together. I say this, I've said this multiple times, it's like we were married and divorced and married. Some people actually ask me is my co-founder my partner. they thought it literally. It's not literally, but we have done multiple companies together, and to your point, we had this shift where we went from the CodeAnywhere to the conference called Shift, and then back to, Daytona. We originally started stacking servers, doing like virtualization in the early 2000s and, routers and doing basically all these things, at a foundational level, and that was a services company which we sold to focus on what my co-founder actually invented, which was the very first browser-based IDE, right, I say the first. Before us was actually Heroku. They did it for a very short time until they became Heroku. But outside of them, we were the only one, and it was called.Swyx [00:02:55]: There was Cloud9.Ivan [00:02:57]: Cloud9 came out slightly after us. There was Replit, which came out when we stopped doing it, Replit came out, and they have been successful since then, which is great. There was Nitrous.io. There was quite a few that existed at the time, but it was like too early. But the interesting part is that we, at that point in time, because there was no VS Code, there was no Kubernetes, and Docker had just started when we Or I'm not sure if it was even public at that point in time. And so we had to build everything to the whole stack ourselves and that was the key learning that we brought into and that we've been using in Daytona today. So it was super early. There's about 3 million people used CodeAnywhere. It was slightly, it was angel-backed more than venture-backed. We ended up paying everyone back because it didn't have that sort of scale. But, three years ago, we started something similar with Daytona, which is not what we are today, but it was automating dev environments for human engineers, the basically the underlying stack of CodeAnywhere. And then we did a hard pivot last January to sandboxes. And so here we are.Swyx [00:04:01]: Historic pivot, yeah, and, it's one of those things where, I had independently invested in CodeAnywhere, but also in E2B, and then both of you pivoted into the same thing, and I'm like, “F**k.”Ivan [00:04:12]: You invested, you invested in Daytona. You invested in Daytona. But you were the first If we had not got your check, we wouldn't have done it.Swyx [00:04:18]: No way.Ivan [00:04:19]: No, it was like, “We have to get him on board first,” and you were that kicker that we, that got us off the ground.Swyx [00:04:23]: No, because you were putting me on your pitch deck, man. I was like, “Man, this is like a good trip if I don't invest.”Ivan [00:04:29]: That's because it was your quote. It's like we.Swyx [00:04:30]: Yeah. It's the end of localhost.Ivan [00:04:31]: Did a bunch of research about end of localhost and who was interested in that,.Swyx [00:04:34]: No, that's like, I put, I wrote that blog post, and every single company in that field reached out to me, and then every VC who was receiving those pitches then also had to call me and, talk it, talk through it with me.Ivan [00:04:47]: It's finally happening though.Swyx [00:04:48]: It was really super interesting.Ivan [00:04:48]: It's finally happening.Swyx [00:04:49]: It's finally happening.Ivan [00:04:49]: Yeah, it's finally.Swyx [00:04:49]: It's finally happening, with maybe sort of non-human users. Yeah, so what is Daytona today? Let's get like a quick description. I'm wearing the shirt.What Daytona Is Today: Composable Computers for AI AgentsIvan [00:04:58]: You're wearing the shirt. Yes,.Swyx [00:04:59]: It says, I think your branding is very good. Like, it's very consistent. It runs AI code. Like, it cannot be simpler.Ivan [00:05:05]: Exactly, but we're gonna probably have to change that.Swyx [00:05:07]: Oh, s**t.Ivan [00:05:07]: It's also a subset of what we do. Unfortunately, we really love this, Run AI Code is super simple. People interpret it different ways. I think we've given out 5,000, 6,000 of these shirts. People wear them with pride because it doesn't really market about us.Swyx [00:05:21]: Yeah, Daytona's on the back.Ivan [00:05:22]: It markets the back. It markets to the person itself, so I think we did a really good job on that one. But it is also a subset of what we do, because people, when they think about Run AI Code, they just think about these small, let's call it isolates, code execution boxes that, you send some code, you get an output. Whereas what Daytona is today is essentially composable computers for AI agents. It is, the market calls them sandboxes which can be misleading.Swyx [00:05:44]: All these things. All these things on.Ivan [00:05:45]: Yeah, exactly, ‘cause it can be misleading ‘cause people usually think about sandboxes as a demo or a test environment versus a production-grade environment. But what Daytona does, if you think of the laptop that you have in front of you or the computer that's over there, or, my wife is an architect, so she has like a Windows with a 3D graphics card inside to do 3D rendering. Like, as humans, we have different computers or different compositions of computers. And our belief is strongly that agents today and going forward will need all these different compositions of computers to do different types of tasks. And so we offer that basically through an API.Swyx [00:06:19]: Yeah, to give people - I'm trying to sort of front-load all the aha moments or the wow moments so that people can, stay engaged and click like and subscribe. the market is exploding, right? Like, you have been reporting 74% month-on-month growth, and it also, it's just been growing for a while. Like, it's been going like this. And every single - It's not just you guys. It's every single.Ivan [00:06:41]: Everyone, yeah.Swyx [00:06:42]: Sort of, compute provider. I don't know if you agree with me saying compute provider or not.Ivan [00:06:48]: It's fine.Swyx [00:06:48]: Yeah. So like organically PLG-driven growth, but also enterprise is doing super well, I think I wanna rewind to January of last year when you did the pivot. Like, so you obviously called this market early, and you were positioned for it, and you are now one of the market leaders. But what was the insight that made you do the pivot?The Pivot: From Human Dev Environments to Agent SandboxesIvan [00:07:06]: The insight that made us do this pivot is the quarter before that, so end of 2024, when we had - Basically, we did a demo with - I don't I think we discussed this as well, Devin was not public. You actually gave me access to Devin at that time. So Devin.Swyx [00:07:25]: I did?Ivan [00:07:26]: Yeah, you gave me access.Swyx [00:07:26]: I don't think I was supposed.Ivan [00:07:27]: Yeah, exactly.Swyx [00:07:28]: Yeah, I.Ivan [00:07:28]: So it doesn't matter. You.Swyx [00:07:29]: Yeah. I gave like three friends access.Ivan [00:07:31]: Yeah, or it was a call and you showed it to me. It doesn't matter. but OpenDevin was available, which is now called OpenHands. And so we're like, “Oh, this seems to be a thing. This is not public. Let's take our for human automation of dev environments and take, OpenDevin and launch that as a SaaS.” And we did that. Not very many people signed up and used it, but a lot of people reached out that were building agents, and they were like, “Hey, my agent needs a compute sandbox runtime,” whatever you wanna call it. I forgot what it was called at that point. And then we were like, “Oh, amazing. This is a new market. Here is our infrastructure. Here's our product, and go.” And what we found really fast, soon, was that people did not like what we had built. It didn't work. And I remember talking to people at the beginning when we're doing this, the sandbox we're building for agents. People were like, “Oh, why is it different? It's the same thing. We have like EC2, we have VMs, we have all these things.” But we saw that everyone we gave it to, it was like 20, 30 people, they all said, “No.” Like, “This is not what we need. This sort of breaks.” And basically, me and my co-founder not knowing a lot about - ‘cause we're infra people. We're not AI people. So I basically took it upon myself to like watch every single podcast that exists, including all of, all of these and all that, and sort of get up to date, read all the blogs, like get, understand what's going on.Swyx [00:08:45]: Do you wanna shout out who else was useful, just in case people are also looking.Ivan [00:08:49]: Generally we -, I looked at There's a few of podcast, different segments and different types. So there's you guys, No Priors, Bill Gurley's was great while.Swyx [00:09:04]: VG2, yeah.Ivan [00:09:05]: Yeah, while it was around. So there's a few. 20VC is interesting from a different dynamic, and some are different dynamic. But there was, also Red Points.Swyx [00:09:14]: We're not really about the compute market.Ivan [00:09:15]: It was also already - Sorry?Swyx [00:09:16]: You're, you want - You're looking at the agent infra market.Ivan [00:09:19]: I was looking at the agent market and the AI market in general and sort of understanding who are the players, what the perception, and how that goes. And like obviously you complement this with like going to conferences, going to events, going to meetups, reading white papers, like doing all the things that you have to do to understand what's happening. And so when we figured, when we sort of had an idea of what we had to build, literally over the New Year's Eve, literally on New Year's Eve, I half vibe coded the first MVP, first minimal viable product of what Daytona is today. And I went to sleep at like 3:00 AM or something like that. I was doing - I just put my like baby daughter and wife to sleep and, Happy New Year's, and go back to just, doing this. And I sent it to my co-founder, my CTO, and he saw it in the morning. He's like, “This is absolute garbage.” “Do not show this to anybody at all, but the idea is good.” And so he took two weeks, and he rebuilt it.Swyx [00:10:09]: Did it like look like that? Listen, I - It was rough idea.Ivan [00:10:12]: Oh, not even, not even close. Like it was it was way worse. But it was like a very - It was a simplistic view of what it should be. Like, it worked, but it was not ideal. And so he went, we went down the whole, which is his job as CTO, to go, and he came back with this version. We then called all the people that had said like, “This is garbage,” a quarter ago. And we set up these calls, and we gave it to - We just demoed it to everyone. And all the calls went long, every single one. They were 15-minute calls, and they all went to like 25, 30 minutes or whatnot. And everyone said, “We need, we want access.” There was no login, just an API key, ‘cause it was just a beta or an alpha. And they said, “Oh, we want access.” And we're like, “Sure, yeah. Okay, thank you very much.” But after like the next day, if we'd not send it, every single one, like every call that we did, everyone came back, “Where is my API key?” Like everyone wanted it. We're like, “S**t.” Like this is it. Like I've never felt So one, the understanding to your point was like most people thought it was the same infrastructure for humans and agents. We understood a quarter ago it's not. We just didn't know what was the right primitive. And then when we came, and we can talk about what that is, and we gave it to these people, I've never seen, I've never experienced - I've done multiple companies in my life. I've never experienced this, that people literally call you if you do not give them access. Like they want access right now. And so it's like, okay, they don't want this. the thing that they want doesn't seem to exist, or they have not found it, and they really want what we want. And then when we understood that we're onto something, and then when you think about the size of the market, like the market for human engineers and enterprise is a very large market, so think GitLab or whatnot. But the market for every single agent that will exist ever in the future is just like, what is that market? How big is that? And we're like, “We are all in on this.” And so that is where we made sort of the cut between the old product and the new one.Bare Metal, Stateful Sandboxes, and the Lambda + EC2 ModelSwyx [00:12:02]: Yeah. But it wasn't composable at the time?Ivan [00:12:05]: It was very - It was basically just a Linux box that you could change, that you could define number of CPUs, disk, and RAM. Like that is what you could do, but you couldn't have multiple operating systems, you couldn't resize it on the fly, you couldn't add a GPU, you couldn't do like all the things. It was just the, just the first sort of variation of that, yeah.Swyx [00:12:22]: Was it bare metal from the start?Ivan [00:12:24]: It was bare metal from the start. And so the interesting thing that we thought about right away, so our.Swyx [00:12:29]: Which, give people the background, what is the normal path?Ivan [00:12:32]: Yeah, so, basically most providers run this on top of VMs. And also.Swyx [00:12:37]: Firecracker.Ivan [00:12:38]: Yeah, they run on Firecracker and VM. And so we also fire - We can get - We have multiple isolation layers and we can do that. But the common way to do it is that they, one, that the state of the machine, or the hard disk is not part of the sandbox itself. And the other thing is they're not meant to last forever. So most of them are preemptible, like they can There's a time that they can live. And so our thought was when we were going into this is, agents will be like humans in the sense of you don't want your laptop to be shut down until you're done with work. Like, and you want to close the lid and open the lid, it's the same state. So you - Agents would want that, like the pause and come back. They want those two things. But also agents really want speed, right? Can they get it? So when we thought about it's like we need something insanely fast, how to make it fast, how to make it long-running, and stateful. And so those two things, it's like combining a Lambda and an EC2, right? Those two things together. And so we didn't have an idea how others did it, ‘cause we didn't know too that there was a market around this. It was more like, okay, this is what we need, what they need. And we looked at Kubernetes, it wasn't wasn't good enough for that. We looked at Nomad, it didn't enable that. And so our history in rewriting our own scheduler at CodeAnywhere is basically what my CTO came up with. Like, he's like, “Oh, the learnings from there,” and he brought it. And the funny thing is, our third co-founder, when he saw it, he's like, “Dude, what is this? This is like 2008.” Like, we went back in time, and he's like, “Exactly.” And so the reason why Daytona is like super fast, and you see this on benchmarks, is we essentially, we run on bare metal. We have our own scheduler, we use the underlying, disk, CPU, and RAM of the underlying machine, which means your IOPS are insanely fast because there's no, there's no network between an EBS or something like that. But also the snapshot, the point in time, the templates, are also preloaded on the bare metal machines. So when you fire off a sandbox from a template or a snapshot, you're essentially directed to the bare metal machine where that snapshot is based on that NVMe drive, and then it literally just turns on that machine, and it's local. There's no network latency, anything on there. And so that is sort of the specificities that we, when we're thinking from first principles, what a computer would look like for an agent, that is what we came up with, and that's what we created.Benchmarks, 60ms Startup, and 50,000 SandboxesSwyx [00:15:02]: Yeah. I should maybe, I don't know if you endorse this, but there's someone that does compute SDK, you guys do very well on there, with like the TTI, right? I. is this a, is this a is this a relevant benchmark for you guys? I don't know.Ivan [00:15:16]: I don't know, and it changes every day. So today RKL is.Swyx [00:15:18]: I don't know what RKL is. Never heard of it.Ivan [00:15:20]: Yeah. RK, yeah, so it is there.Swyx [00:15:22]: You are, at least a third of the next tier of performance, and then, there's a lot of other better-known names that are very slow to start.Ivan [00:15:31]: Yeah. We've been the number one by far for a long time, and now there's different, there's different definitions also of sandboxes, different isolation patterns, different other things. So RKL runs it literally on the S3, the data, so it's very different, and they spin up a sandbox, spin up a container for that, so it's a different type of thing. So the definition of a sandbox is something that we can all, we all need to get along with. But yeah, we're insanely fast on getting these things, up and running. And so you can see even there that it's a zero point 0.10 to 0.11, so.Swyx [00:16:03]: Close enough. Yeah. what else do you need, right?Ivan [00:16:05]: Yeah. So the benchmarks itself, so, in this, in I don't think the benchmarks equate to market ownership or revenue or anything like that. and I've seen this with multiple benchmarks, not just in sandboxes, but in general benchmarks around.Swyx [00:16:20]: It's table stakes. It's just like.Ivan [00:16:21]: Exactly. But it doesn't hurt.Swyx [00:16:22]: Just roughly check.Ivan [00:16:22]: Like you definitely have to be up there and you have to be competing so that people know that, oh, this is definitely one of the top. Because this is only one dimension of what customers look for. There's other things like how many can you spin up consecutively? There's a feature set, there's support, there's like all different things that people look at, but you definitely have to be there, on the benchmarks.Swyx [00:16:40]: How many people do people spin up consecutively?Ivan [00:16:43]: So we have.Swyx [00:16:43]: Or concurrently, is the Concurrency, right?Ivan [00:16:45]: There's three metrics that we look at. And so one is like time to spin up one, and so our time to spin up one is 60 milliseconds with network latency. So request, spin up, reply, 60, the whole thing, 60 milliseconds. That is one. But if you wanna spin up 50,000 at once, we are now at about 75 seconds. So it takes about 75 seconds to spin up concurrently 50,000. Some others, there's public data around this, like take 2,000 seconds, which is 30 minutes. Like there's different variations of that. And then there is the so it is speed of one, speed of like multiple, and then how many can you consistently have up and running. And so we basically have right now no limit to how much we can add because we basically own our own metal. But the biggest customer of ours does like about 850,000 every single day is sort of where they're, where they're just shy of a million every single day that they're running, we do have a request for half a million concurrent, which is literally half a million CPUs somewhere running. So that's an interesting.Swyx [00:17:44]: They pay by like vCPU seconds.Ivan [00:17:47]: By seconds, yeah.Swyx [00:17:47]: Or whatever. Yeah. Okay, and so and then, and the other thing is, the sleeping and the resuming, ‘cause it's all the stateful resumption of all these things, how, what kind of workload are people putting through this, right? Like how is it Do we measure by gigabytes in memory, gigabytes in storage? I don't In like network attached storage. I, what are the costly ones of, out of all these features?Workload Economics: CPU, RAM, Network, and StorageIvan [00:18:15]: The most expensive thing are CPU.Swyx [00:18:18]: Okay. Yeah, of course.Ivan [00:18:18]: The second one, yeah Then it's RAM, then it's disk. We actually don't charge.Swyx [00:18:22]: Which is snapshotting, right?Ivan [00:18:23]: No, it's actually the, snapshotting's part of it, but basically the size of your hard disk, of your machine. So do you have 10 gigabytes, do you have 20, do you have 50, do you have whatever? And then the transference of that. Right now, currently we don't charge for, network at all at Polychron.Swyx [00:18:37]: Oh, you gotta, yeah, you gotta fix.Ivan [00:18:38]: Yeah. It is very much a it's a larger and larger part of our bill, so we're working around, that part there. Obviously, that is the least, expensive, so the hard disk is the least expensive, so it's basically CPU, RAM, for us network, ‘cause we don't charge the customer, and then hard disk, is how it's split up. But there's also different types of workloads, so we basically split it up into two types of workloads in Daytona. One is what we call background agents or long-running agents. and the other is, basically RLs and evals, which I put sort of together. And so they have very different patterns of usage, and if you look at the usage of a background And I'll just name names of companies, not specifically.Background Agents vs. RL/Evals: Two Usage ShapesSwyx [00:19:21]: Yeah, open, all hands.Ivan [00:19:23]: Yeah. So like a background agent's a Cognition, a Lovable, a like all these things are Harvey. These are all long-running, background agents. And so if you look at their usage patterns, their usage patterns are similar to human, which is like follow the sun. Basically, the usage patterns of that is like noon is probably the highest, and the midnight is the lowest, and then weekends are lower. weekday is higher.Swyx [00:19:42]: Yeah, that's a fun question. How global is it? Is it very US-centric or?Ivan [00:19:46]: The US is a large part, but we have currently, we have Asia, Europe, and the US regions.Swyx [00:19:52]: So it's quite global.Ivan [00:19:53]: Yeah, it's quite global. We have it all over. It's interesting that our I talked to you a bit about this. Our number one city by user.Swyx [00:20:01]: Hmm.Ivan [00:20:02]: Is Singapore.Swyx [00:20:04]: Oh, wow. Amazing.Ivan [00:20:05]: Which is an interesting one, right? Not by revenue, just by just like by individual head count.Swyx [00:20:09]: Really?Ivan [00:20:09]: Just like an interesting thing.Swyx [00:20:10]: Singapore is, Singapore is weirdly high in the adoption charts of AI for the population. It's like an, seven, eight million population. And it's like keeps showing up.Ivan [00:20:20]: No, it's quite interesting. We were quite shocked, and I was like, “Oh, this is interesting.” And also one that's up there.Swyx [00:20:24]: There's a reason I'm doing AI using Singapore. it's because I'm from there.Ivan [00:20:27]: We're there. We're gonna, we're gonna be there as well. and it's interesting that Japan is in the top or like Tokyo's in the top, which is in all the tech cycles it has never been. It has never been, so it's quite interesting that they're.Swyx [00:20:39]: I think the Japanese just love AI. Yeah. It's that, and then it's Brazil. That's it.Ivan [00:20:44]: Brazil has always been in.Swyx [00:20:45]: I think.Ivan [00:20:46]: Even when I look, if you look at like GitHub's data and ask historically with CodeAnywhere, it was always like US, Western Europe, and then you'd have like India, Brazil, China, like that would be there. But like Singapore was not in, specifically Japan was never in sort of that top, that top.Swyx [00:21:01]: Yeah. Weird pockets.Ivan [00:21:01]: Weird. Yeah, so it's very global.Swyx [00:21:02]: Okay, so actually that, but that's helps you to distribute your load through, all time?Ivan [00:21:08]: The interesting thing is like we have those kind of loads, but if you look at the researcher loads, they're quite different. So what they are is like if you give them concurrency of 10,000 or 50,000 or 100,000 CPUs at ARMb, when they fire off a run, it's just 100%. And then it just runs, and then it stops. So it's very, the usage pattern is squares basically, right? And it's also not follow the sun, because people will fire it off at midnight before they go to sleep but then wake up and so it's very unpredictable, so you don't know where that is. So the shapes of the usage are quite different than we have had before. And also what's interesting is when it's sort of a follow the sun, even if you have a high growth company, you can sort of predict your usage patterns and have enough capacity for that, because it's sort of, it grows in a, in a way you can project. When you have companies doing sort of like evals and RL, they're super spiky. So they're gonna come in, it's like, “We're gonna use nothing, then can we have 100,000?” Right? And then go back down. And then 100,000, go back down. So it's very different, right? And.Swyx [00:22:09]: Do you want to lock them into commits so.Ivan [00:22:11]: Yeah, we do.Swyx [00:22:12]: Yeah, okay.Ivan [00:22:12]: We so we have to lock them into some sort of commits to have that capacity, because we have to have, basically we have to have the capacity for peak. Right? And so right now, Daytona's mean utilization is 15%, 1-5.Swyx [00:22:25]: Oh my God.Ivan [00:22:26]: So it's very low.Swyx [00:22:27]: Because it's very spiky.Ivan [00:22:27]: It's very spiky, but we get up to 90%. so we have these things. And so what we're, what we're looking at right now as a company is similar to Cloudflare where you can like geo move things around, but that works really well for basically the background agent where it's follow the sun. But this, it's not. Like it's a very different shape. Obviously with scale you figure these things out, but that's an interesting new problem that we have, as a compute provider in the agent space. And when we were doing the conference recently, and so we talked to like Nikita from Neon and.Swyx [00:22:57]: I should bring it up.Ivan [00:22:58]: Parag from Parallel and whatnot, everyone has the same problem. Whereas the usage is super spiky, and this is something that has not happened before, that you have these types of like it was always, it the amplitudes were not this high, right? So it's quite interesting use case and problem solve.Compute Conference and Spiky Agent InfrastructureSwyx [00:23:12]: Yeah, I don't know if we're gonna bring this up again, but let's just talk about the conference, you had like 1,000 something people at the Warriors game, at the Sorry, where is it? What's.Ivan [00:23:22]: Chase Center.Swyx [00:23:23]: Chase Center.Ivan [00:23:23]: Chase Center.Swyx [00:23:24]: I went. It was, it was very impressive. Obviously, you can, how to throw a conference, what did you learn? you put, you pulled together all these impressive names.Ivan [00:23:33]: What I.Swyx [00:23:34]: What were you looking for?Ivan [00:23:35]: My thesis behind the Compute Conference was let's bring together people that are building infrastructure for AI agents. Because when I think of what we're building, it is the agent is the primary user, what are the ergonomics and usage patterns of agents, and so we can do that. And what I found, this was a theory, it wasn't proven, is that we all have these problems, as I touched onto. And I was, as I was talking on stage, it was like we all have the same underlying infra problems, which is this spiky workloads, unpredictable workloads that we've never had before, in human, compute or human infrastructure. And it's, again, it's the same when I was talking to Parag or when I was talking.Swyx [00:24:20]: Lynn. Nikita.Ivan [00:24:21]: Lynn, Nikita. Lynn especially, I was talking to her the other day as well. Like the It is a very interesting type of problem to solve because I can touch on Cloudflare because there's a lot of like talk about that recently as to how they solve that, which is they have a bunch of geos, and basically, as users work in different places, and depending on your tier, they can move you around the geos. And so that how, that's how they get the higher utilization. But you can sort of predict these, and it's If it's something in You'll rarely get a spike that is 10 orders of magnitude. Like you'll get a like let's say one of your customers has some like an exponential curve. What is that to I'm using Cloudflare as an example. 10%, 20%, whatever it is. I don't, I don't have this data, I'm just assessing. It's surely not 10x, right? It's surely not something there. And so how do you go out and solve this problem? And we're all solving this in different ways. So we have.Swyx [00:25:11]: She also has the same thing.Ivan [00:25:12]: Yeah, I know specifically that like Neon had that issue as well. Like how are we solving these spiky loads and things like that ‘cause we talked about it. And so the interesting thing for me to actually internalize was, yes, everyone that's building for agents first is going through this, and we're all solving similar problems, which is quite.Swyx [00:25:28]: Let me let me double-click on this. Okay. So for example, Neon, I happen to know that they're very sort of S3 oriented, right? so they're just like fully bet on S3. And you get to benefit from S3's distribution and infrastructure. So I would imagine that Neon doesn't have to care, whereas Lynn maybe has to care a bit more because obviously she's doing GPU inference. And, for listeners, we did an episode with her, one and a half years ago. And you have to care. But like, right?Ivan [00:25:54]: Parag cares for sure, and Nikita.Swyx [00:25:58]: And Parag is C of, Parallel.Ivan [00:25:59]: Parallel, yeah.Swyx [00:26:00]: Former CTO of Twitter.Ivan [00:26:01]: Twitter, yeah.Swyx [00:26:02]: They are the search.Ivan [00:26:03]: Yeah, they're search, yeah.Swyx [00:26:03]: I You and I know but the listeners don't know.Ivan [00:26:08]: Yeah, we can put it down in the screen, and so ‘cause we, when we were talking.Swyx [00:26:11]: I'll put it up on the, on the screen.Ivan [00:26:12]: Yeah, right.Swyx [00:26:12]: People can look it up if they need.Ivan [00:26:14]: Look it up. And, yes, but they still have CPU and RAM, allocation that you have to have up and running. And so CPU and RAM, you have to allocate that and have that ready. And so there's basically two ways to do it. One is you either over-provision and you can handle the bursts, or two, you basically have, I don't know if this is a term, just-in-time compute, which is like as your load becomes, as your usage comes in, you can fire off requests for VMs or bare metals at other cloud providers and then get them up and running.Swyx [00:26:43]: This is if you go above 100%, right?Ivan [00:26:45]: Yeah, this is.Swyx [00:26:46]: Like your overflow.Ivan [00:26:46]: If your overflow, like spillage or whatever you do.Swyx [00:26:48]: You probably lose money on it, but it doesn't matter, right?Ivan [00:26:50]: It, not Well, you might, you might not That is a more cost-effective way to do it but it's a slower way to do it. Because basically what you have to do is you have to like queue your requests, spin up these just-in-time compute, get it all ready, provision it, and then get your workload there. And so if the time isn't important that much, that's fine, and you can do that. But if your customer, and especially for, let's say, the RL training runs, the reason why a lot of people come to us is because GPUs are more expensive than CPUs, right? So you want your GPU running at, what, 100% the entire time. And so when you're running runs on CPUs, when the when the CPU cycle is like down and spinning up the next one, you want that to be instantaneous so that your GPU doesn't go down, right? And if you then have to like go out and provision machines, you're essentially telling the GPU that it has to wait, and that's incurring our cost. So there's things that you have to try to solve for there.RL Workloads, Declarative Images, and Kubernetes ReplacementSwyx [00:27:43]: Yeah, let's talk about the different workload, right? You said that, what was it? A few months ago, you had zero RL workload and now it's 50%.Ivan [00:27:52]: It will be this one, 50%, yeah.Swyx [00:27:54]: Let's talk about how different it is, right? Like I imagine, for example, a lot less dynamic code generation of like arbitrary code. Like here, it's probably all the same code. You're just doing parallel runs or something, I don't know.Ivan [00:28:05]: Yeah. So you'll have multiple Depends on the like for each run, you'll have a snapshot. And they, for the most part, they actually do use our declarative image builder, which is like, “Oh, we, the agent wants these dependencies, these env vars.”Swyx [00:28:17]: These ones, yeah.Ivan [00:28:18]: Yeah, the declarative image builder, it.Swyx [00:28:20]: Which is a very modal like thing that they.Ivan [00:28:22]: Yeah. And so we build it on the fly and then we propagate that snapshot, and you can spin up as many sandboxes as you want against that snapshot. And then if you have to do changes, the model can, or like it could be also be automated. It's like, “Oh, now for the next run, we need to install these things or remove these things or whatever to get, a task done,” and then it goes off and runs that. So yes, that is something that it seems that they prefer. The number one reason I found, or should I say, let's take a step back. What we are competing against in that environment is essentially managed Kubernetes. So EKS, GKE, whatever. That is what the vast majority run on. And anyone that has tried Daytona versus GKE, EKS is like, “I'm never going back.” That has always been. There's a few reasons. One is the ergonomics. So if you have, if you're using Kubernetes to spin that up, you have to essentially manage the interface interactions with that. Daytona, although as a compute provider, it's more akin to a Twilio and Stripe from a consumption perspective than it is an AWS. Like you have an API, an SDK, it's quite like easy and seamless to get these things up and running, that's one. The other is the speed to which we spin up, which we mentioned earlier, which is much faster, and the scale to which we can go to. We haven't got into features, but an interesting feature is that it's very hard to OOM, or out of memory, our sandboxes, because we can dynamically on the fly.Swyx [00:29:48]: Resize.Ivan [00:29:49]: Resize, which is like impossible on almost any other thing. There are some technologies that enable you to do that, but it's like a very hard thing. And so we actually saw this when, the Terminal Revenge team is, brought us actually. So thank you, Alex and the team, that brought us into this whole space.Swyx [00:30:05]: It's just very rare that, a framework would just say, “Guys, just use Daytona.”Ivan [00:30:11]: Yeah, I think it says it somewhere. Yeah.Swyx [00:30:13]: Yeah. I was like, “What is this?”Ivan [00:30:15]: There's all, there's multiple there, but they also mention a few other places. and so Daytona specifically-We have, the, just jumping on themes here We, I don't know where it says Data Center.Swyx [00:30:27]: I, there.Ivan [00:30:27]: Doesn't matter.Swyx [00:30:28]: There's a very strong recommendation, which is, very unusual. Which is, it's.Ivan [00:30:33]: We do not pay them for this, just.Swyx [00:30:34]: I know, yeah. They just like you.Ivan [00:30:35]: Yeah, they like us. yeah, and also a thing, so, Data Center has multiple isolation sets underneath. The customer doesn't have to know what they are. But basically we have Docker, which is a container, that's hardened with Sysbox. So it's Docker's, isolation that is a security equivalent to a VM, but it's still a container. And that is the default, and they, especially in these training workloads, really like that as an interface to be able to use just a basic Docker container, and we enable Docker and Docker. Which for these RL runs, if you need to do a Docker compose or Kubernetes, you can spin up a K3S inside of these things, which unlocks a huge amount of workloads that you can do that you cannot do on other providers. So just on that part is much more interesting. And so we went that, through that. We showed them that we could do that, and they enjoyed that quite a bit. They being the general venture people.Swyx [00:31:28]: Those people, yeah.Ivan [00:31:29]: And Harbor people.Swyx [00:31:29]: Harbor people, do are they, are they a company yet?Ivan [00:31:33]: As far, I do not know.Customer Pull, Slack Connect, and the Computer Use BetSwyx [00:31:35]: Okay. All right. Yeah. It's like super obvious that like, there's a lot of excitement and success around these things, okay, so yeah, tell us more, right? Like, this is an exploding workload, Harbor adopted you, which helped speed things along. But what are you learning as this new workload comes online?Ivan [00:31:53]: There's a couple things that we learned, which we chat about in the beginning. We, and this has led our story, as we mentioned, we like talked to a lot of customers along the way, and we add more features and more tool sets as we talk to customers. And it's interesting that And I think it's that the ecosystem is so small and/or the models get smarter, where when we see one user come with a request, we know it goes on a roadmap if like three to five customers come with the same request in that week. It's like very bizarre. It happens so many times, which is.Swyx [00:32:27]: Because they're all friends.Ivan [00:32:28]: Sorry?Swyx [00:32:28]: They all, they're all friends. They're all in the same group chat.Ivan [00:32:30]: Yeah, probably, yeah. ‘Cause and they're like, “Oh, can you do this?” And I'm like, “Okay, this is interesting. We'll put it on a feature request.” And then the next one's like, “Oh, can you do this?” “Okay.” It's all the same, right? It's always the same. And so what we try to do, and I personally try to do, I try to be on as many call, quote-unquote “sales calls” I can. I'm in every Slack channel. We literally have about 1,000 Slack Connect channels, something like that. It's an interesting, there's so many interesting things you find out when you have all the Slack channels. You can also see where people, transfer between companies. You see leave Slack channel, enter Slack channel. It's an interesting thing. Also, just I digress, I feel that Slack Connect is literally LinkedIn what it should be. You have a list.Swyx [00:33:08]: LinkedIn charges you to, use your own connections, but Slack doesn't, right? Slack is like, do it for free. It's more lock-in. It's great.Ivan [00:33:15]: Yeah. It's amazing. Yeah. It's one of the reasons.Swyx [00:33:17]: You're gonna pay Slack for life.Ivan [00:33:18]: Exactly. You're there for life. So that's interesting. And so one of the things, the newer things we were talking about earlier is we made a big bet and put a lot of investment on computer use. that is not seen publicly the light of day. We haven't GA'd that yet, but we have.Swyx [00:33:32]: Is there a thing I can pull up?Ivan [00:33:33]: There is computer use there. It's right up a bit.Swyx [00:33:36]: Oh, yeah. Okay.Ivan [00:33:38]: What we have, what we talked about and what we've seen publicly is there's this theme now about, the human emulator where And Elon from XAI has talked about this publicly, and if you think about the models today, they're actually quite sophisticated and they can do a lot of work, but they still don't have access to all the tools. Like, I'm a strong believer that the most efficient way for an agent to work is essentially headless or through, terminal or whatnot. But if we, if we look at knowledge work in general, there's about 100 million knowledge workers in the US, about a billion in the world, and knowledge workers, and the salaries of them aggregate to 10 trillion in the US 50 trillion worldwide.Swyx [00:34:24]: Wow.Ivan [00:34:25]: Something like that. And if we look at, the five most important sectors of that, so like healthcare and government and financial services and whatnot, that's about 56% of that. So let's say it's about half of that. So in the US it's about 25 trillion, and most of them, most of that work is actually still locked into legacy apps inside of Windows, which is not going anywhere for a very long time. Like, people just won't invest in that. How much of it? our assumption is the following: if, in the RPA market, which is similar market, well, not the same 25% of, these white collar, workers', work is automated. If an agent is more sophisticated, can go through more runs, figure stuff out, let's say it's, 40%, right? And so if you take 40% of that, you get to essentially, $10 trillion a year.Swyx [00:35:17]: That's a TAM.Ivan [00:35:18]: That is a that is a TAM. So that's the TAM of the models, right? That's not our, essentially ours. But you get to that size, and to be able to do that, you essentially have to give agents these computers with the legacy. So computer use, either Mac or Windows or Linux. Linux we also obviously have and others have. But Windows specifically is something very new, and the only option right now is an EC2 with, Windows or on Azure. Both of them take anywhere from three to five minutes to spin up. We've created an actual sandbox, so it's a second instead of milliseconds, but you have, point in time snapshots, you have, forking, you have all the things that you have from a sandbox, but essentially enables you to hopefully unlock all this value. And so that's been our big push and bet, but we've sort of, kept our ear to the ground. What is sort of the next things in the market?RPA Returns: Why Agents Still Need ComputersSwyx [00:36:06]: Yeah, knowledge work, and building, and sort of RPA, the next wave of RPA. I got very excited about RPA kind of during COVID times. The UI path was IPO-ing. And it was, a very hot Isn't it, Eastern European?Ivan [00:36:20]: It is, Romanian.Swyx [00:36:21]: Romanian?Yeah, it might be the only Romanian, big unicorn okay, yeah. This I don't I don't, I don't have like a I think there's, I think there's a stage being set for the resurgence of RPA, ‘cause everyone understands that, yeah, no one wants to deal with these shitty apps and no one's gonna rewrite them. Like, you just have to do, a remote operation and programmatic operation of them.Ivan [00:36:45]: If you wanna unlock it, my own setup was basically the following. So I was doing a board deck recently, last month, whatever, and I'm like, “Okay, let's just, let's just do automated.” So, all our data's in, ClickHouse and PostHog and QuickBooks, where everyone else's is, and I'm basically, connected that all to, my Cloud code, like go off and go Cloud code whatever. Go off and, here's the integrations, go do that. It pulled out the first report, which was great. It connected to Brex and all these things, pulled it, which was great, and then I say, “Okay, now pull out this, and this,” and I kept getting, really well McKinsey-style design reports, but the data said partial data. all the missing data, partial data. Like, it can't access all the things, and I got so frustrated, and so I got, I got, my Mac Mini virtual sandbox with OpenClaw. I gave it its own account in our company, and then I went to all these services and created a read-only account, so literally like an intern in your company. And so I would say, “Now go and do this report,” and it would get the same, or like, “I can't via the MCP or the API or whatever. I can't get all the information.” I'm like, “Go log in.” And it will log into the website, then go in, export the data. It'll export the data and do the thing end to end. So even for things that have today APIs, not all of it is exposed, and I to get value, I get immense value right now, but it has to be a computer usage, unfortunately, and so I spend a bunch of tokens just on that, but I get the job done. And so if even a startup like ours, and using all the hottest tools, still needs a computer agent what hope does, Goldman have to have a headless, right?Swyx [00:38:22]: Yeah, what a - Why isn't Microsoft doing this?Ivan [00:38:27]: I'm pretty sure, Satya had a post yesterday.Swyx [00:38:29]: Oh, okay. I see.Ivan [00:38:29]: Which was like, “Every agent needs a computer.”Swyx [00:38:31]: I see, I see.Ivan [00:38:32]: So they have launched something recently.Swyx [00:38:34]: Yeah, they have Microsoft Power Automate, I'm sure, I'm sure, they're gonna have their version.macOS Sandboxes, Apple Constraints, and the Windows OpportunityIvan [00:38:39]: Version of that, yeah.Swyx [00:38:39]: You're gonna try to do yours, and it - I always know there's always demand for Mac, but I know it's, tricky to host, macOS sandboxes.Ivan [00:38:49]: We will have macOS sandboxes fairly soon. The problem with macOS, OS sandboxes is, I'm deep in this, I don't know how much interesting is.Swyx [00:38:55]: No, it's.Ivan [00:38:56]: MacOS has this problem.Swyx [00:38:57]: It's a licensing thing, right?Ivan [00:38:58]: Licensing thing. So one, you're allowed to run only two parallel VMs per machine, so that's one. Two, you can only license to a different user every 24 hours. So if you come in and theoretically, if I wanna charge you per second and I charge you one second, I have to have it idle for the rest of the day. I can't have anyone else doing that. So the pricing will be different in the sense that I will have to - we would have to charge for 24 hours, and that's not even, that's not even the most difficult thing. But the, thing above that is, from a security perspective, they enable you to do memory snapshot, pause, resume, but only on the same physical drive, physical machine. And so what you can do in, Windows world or Linux world is that I can move in the background, your snapshot from one to the other and manage load, right? Here, if you wanna do that, you essentially have to have your.Swyx [00:39:49]: Yeah, snapshots. Yeah.Ivan [00:39:50]: Your.Swyx [00:39:51]: It's like.Ivan [00:39:51]: Physical machine.Swyx [00:39:52]: You can't break it up.Ivan [00:39:53]: You can't, you can't move things around that, and all of that is, that part is, from a security standpoint, if it is written. Like, I understand the security aspect of that, but it disables you from doing these agentic, like really scalable agentic workloads.Swyx [00:40:08]: You need to do a vibe-coded, clean room implementation on macOS that you can then - That's like Clean OS or something. I don't know.Ivan [00:40:17]: So. We have.Swyx [00:40:18]: ‘cause like Linux was originally like a clean room rewrite of Unix.Ivan [00:40:21]: Okay. Yeah.Swyx [00:40:21]: Or something like that, right? Like same thing to macOS. Someone needs to do it.Ivan [00:40:25]: Someone will do that, and someone will have some long-running agents for a few days to figure this stuff out. But yeah. So definitely we - we're really close to offering something ‘cause people do want it, but the pricing will be different, and the feature set will be sort of stringent.Swyx [00:40:38]: Yeah, nobody's gonna use this. like, the labs, the labs will because they want to automate macOS.Ivan [00:40:42]: They have to do RL. They have to do RL again. But even if you The - So the point is with the RL part, if you, if you do RL on macOS, then the next iteration of the model comes out, it will be able to use these tools significantly. Then you actually need to run those, that somewhere. So you're gonna have to have that, later on. And from, if anyone at Apple is listening, I very much feel that they are shooting themselves in the foot of the scale of the revenue of compute or licensing they could get if they would just enable a concurrency model similar to what you can get on a Windows and a, and Linux.Swyx [00:41:17]: Yeah. Yeah. And I'm sure they've heard this before. They just don't care. Yeah, it's And maybe they will change their mind with the new CEO.Ivan [00:41:24]: Yeah. We'll see.Swyx [00:41:25]: We'll see.Ivan [00:41:25]: High hopes.Swyx [00:41:26]: High hopes.Ivan [00:41:26]: High hopes.Swyx [00:41:27]: Okay. But I, it's very clear the market opportunity is huge in Windows, and you can go for a long time on just Windows, but your customers are gonna want both. and I think, it is interesting to me that, this is the sort of God application of agents, right? Like, I don't It was - How big was OpenClaw for you guys? Like, was it, was there, a significant bump.OpenClaw, Agent Labs, and the B2B2C Sandbox MarketIvan [00:41:54]: Not for us because we.Swyx [00:41:54]: Because you already.Ivan [00:41:55]: We're kind of positioned differently. Whereas although it's completely PLG and we have individual developers that use it, most of the users that use Daytona are sort of a B2B2C. Sort of it's either B2B or B2B2C. So, in the researcher world, it's B2B, so you're selling to, labs and neo labs and things like that. But on the long-running agents, it's mostly, from a scale revenue perspective, it's mostly B2B2C, where you have a app layer agent that uses you at a big scale.Swyx [00:42:26]: Like a Manus. Yeah.Ivan [00:42:28]: Like a Manus Lovable type of thing.Swyx [00:42:31]: Yeah. I think that's the question of, well how, um-Uh, yeah, B2B to C is basically to me what I've been calling an agent lab, which is kind of like you're not in a model lab, but you're making a very good wrapper that is a platform that other people can sign up so they don't have to code those things. Yeah, it sound, it sounds like a much better market than the direct OpenClaw market.Ivan [00:42:56]: I've like - We I've done multiple things. So the CodeAnywhere's part of our career path R in the calendar, was very much an end user developer product. And so that is great. It You can get a lot of developer love, and I feel that we do as a company have a bunch of developer love. But it's a different type, where it's people building these things. Again, it's more akin to a Twilio because you don't really run - As a person, you wouldn't run Twilio. I don't know how many people remember. It was like ask your developer billboard and whatnot. And people really love Twilio, but they only used it inside of like, “Oh, I'm building this app or service for thing.” And so we're very much directly to that. And you also know that I used to work for a competitor for Twilio, so it's kind of ingrained, in my DNA.Swyx [00:43:35]: People don't know InfoBip is that big.Ivan [00:43:38]: Yeah, it's.Swyx [00:43:39]: Because.Ivan [00:43:40]: It's a billion euro.Swyx [00:43:40]: They're all American. They're like, “Whatever's in Europe doesn't matter to me.” But like it's the, it's the same size or bigger? Same size?Ivan [00:43:46]: It's about half the size.Swyx [00:43:47]: Half the size?Ivan [00:43:48]: Yeah, about half the size.Swyx [00:43:48]: It's like, yeah.Ivan [00:43:48]: Still huge. Multiple billions a year. Yes.Swyx [00:43:51]: That's crazy.Ivan [00:43:51]: Exactly, and so that - These are like really interesting and large revenue-generating, very sticky businesses. Whereas when you're selling to the - When your focus is the end developer, it is a very hard sell because they're very price sensitive, very price conscious, very around that. And there's very It's very hard to scale. Your cap is the number of people that are willing to spin up - First of all, wanna spin that up, and then spin up multiple of these. Whereas if you're in the enterprise one, like we know everyone's talking about like how many tokens they're spending, I'm spending. Like a lot of companies today are like, “If this is our company, spend as much as you can.” Like basically that is where we're going. And so if you think about that paradigm, where you're selling to companies that say, “Spend as much as you can to generate, productivity,” versus, “Oh, I'm a single person. I have this much budget, and I'm doing this thing because it's fun or it's helping me out or whatever.” Like it is a different, it's a different go-to-market, I think, strategy.MCP, CLIs, and Sandboxes as the Agent RuntimeSwyx [00:44:50]: Yeah, there's a lot of discussion. I'm just kind of going through like the mental list of things that are in your favor, which is, for example, MCP versus CLI. Like obviously you want CLI. It's been very good for you. I feel like it's maybe a drop in the bucket or maybe it's huge. I'm just checking whether it's like these are big trends.Ivan [00:45:10]: Those things you - work well in our favor, to your point just because every.Swyx [00:45:13]: They're kind of drop in the bucket, right?Ivan [00:45:15]: I think it's like sort of all the things come together. And so there's so many things that impact that. To your point, like OpenClaw wasn't huge for us, but like having the agent SDK, from Anthropic, so or Cloud Claude Code was very interesting. The reason why it was interesting is that a lot of, let's call them app I don't know what to call them, app layer agent companies, essentially they are like, “Oh, I can create this new app, this new agent. All I need, I just use Claude Code, and I throw it into a sandbox, and then I have my interface to the human to that.” And so that enabled so many more companies to actually offer this, and then they would pull on sandbox. So that was, that was interesting. And to your point, like MCP, versus the CLI, the MCP is an interface against an API, whereas the CLI is like you can actually go do things. Like this is it. The difference between integrations and actually running scripts or data or analysis against a thing. So being able to use a CLI very well enables the agent to do more things, and it's because that people will invoke a sandbox, they'll run it in the CLI, and but it'll do anal-analysis on that data and then give you an actual result versus just, pulling data from an API source.Swyx [00:46:29]: Yeah, it's a layer of indirection basically, it's the same thing as agentic search versus RAG, which where you're.Ivan [00:46:34]: Exactly, yeah.Swyx [00:46:34]: Just like you just win whenever people put more agents into their workflow. And so like it doesn't really matter, but I'm just kinda teasing out like what else have people heard about that like it's sort of, “Oh yeah, this is another sandbox use case. Oh yeah, that's another one.” Am I, am I missing any big ones?Ivan [00:46:51]: The thing, the thing that people, which is the computer use stuff, which I think is probably the most interesting one, is, and to your point, we've talked to so many people over the last year. It's like, “Oh, like why do you need a sandbox? Why do you need this? Why this?” And to your point, it's like, “Oh, I need sandbox for this. I need sandbox for that. I need sandbox-” It's like, “Oh, I need it for every single thing.” And so basically what I, what I - and it sounds like a broken record, it's like you use a laptop every single day, right? And you are n of one. It's just you. But now imagine how And by the way, the laptop, the computer PC market, the PC market is about equal to the cloud market in total. So it's about 150, 180 billion a year. Something like that. It's about roughly the three cloud hyperscalers is about equal to like Apple, HP, Lenovo, whatever, It's a little bit less, but it's sort of like that. And now imagine And that's just like, so how big is the addressable market? What, how many people are there in the world now? What's the last data?Swyx [00:47:45]: Let's call it eight billion.Ivan [00:47:46]: Eight billion. And so let's say you can have two computer, like you have one personal and one business, whatever. Like so it's double that, right? and so that's 16 billion, right? How many agents are gonna be running in two years, in 10 years, in 100 years? Like And for every single task, they will need one of these. And so how big is that? That market is essentially quote unquote “infinite”. You will get to the point, and Dylan Patel was at the conference talking about, from SemiAnalysis, that talks usually about GPUs, was also talking about how CPUs will now be a bottleneck because it will be the constraint. You won't be able to grow, or we won't be able to have enough of these because there won't be enough CPUs to basically do.Swyx [00:48:23]: Yeah. Well, I actually had a really good podcast with Doug Oliphant, who, which was his president at SemiAnalysis, where they've basically been like, yeah, it's been a GPU shortage first, but then it's cascaded down to memory and now to CPUs.Ivan [00:48:35]: CPU, yeah.Swyx [00:48:35]: It-What's next? So networking. So, networking actually has been in shortage for a while if you're looking at, just GPU networking. But, yeah, it's really crazy the amount of computer use that's going on, yeah, cool. I, other questions are, just the one very big part is the open sourceness which you didn't have to do, your competitors don't do, like it's not, a lot of people are worried about keeping their projects open source because some competitor can just slot fork it. I don't know if there's any reflections on just being an open source company.Open Source, Trust, and Enterprise ProcurementIvan [00:49:15]: Yeah. There's a bunch. So we the original product that we did was open source.Swyx [00:49:19]: Yeah. CodeAnywhere.Ivan [00:49:20]: So doing that was actually very good for us. There's basically a saying of, What's the saying? Like, companies that are, that are doing really well, measure themselves against, free cashflow, that are kinda okay, it's EBITDA, then, it's, it goes all the way down.Swyx [00:49:36]: The worst is like GitHub stars.Ivan [00:49:37]: GitHub stars. GitHub stars are the worst, yeah. So you go all the way down to GitHub stars. And so our original one was GitHub stars. That's what we talked about, we're at the point we're talking about revenue, so we're we've gone up the stack on that. And so we started.Swyx [00:49:47]: No, profit.Ivan [00:49:48]: Yeah. We haven't, we're, we'll get there. We'll get there. But basically at that point we did stars and GitHub and it was useful, and the original variation that we did, it we split the core into its own repo and it was Apache 2.0, so very, permissive. And then we basically would bundl

Lambda lambda lambda, Hell's Kitchen! Hora de reunir o tribunal para o julgamento da segunda temporada de Demolidor: Renascido.  Neste NerdCast, os nobres catedráticos Rex (saído da geladeira), Sr. K, Carlos Voltor, Marcelo Bassoli e Azaghal avaliam se o retorno de Matt Murdock à porradaria valeu a pena, ou será que a Marvel continua complicada até na TV? Hostinger Crie seu site com facilidade e 10% de desconto utilizando o cupom JOVEMNERD: https://jovemnerd.short.gy/hostinger_nc1 NerdStore Pijamas Cthulhu, moletons e mais produtos do universo Jovem Nerd com o cupom NERD20 (LIMITADO!): https://jovemnerd.short.gy/sp2_nerdstore NerdCast 20 Anos - CAÇA AO TESOURO Ouça a dica na leitura de e-mails e vá até o post do NerdCast que você ACHA ser a solução da charada. Abra o link escondido na página em questão e salve o seu selo. ATENÇÃO: Cada pista levará até o post no SITE/APP de um programa clássico do NerdCast. O selo constará apenas no SITE/APP do Jovem Nerd. Regulamento Caça aos Selos: https://bit.ly/494oQbz OZOB: A CYBERPUNK BOARD GAME Atualize/confira seu endereço em ozob.com.br. Assista à live de atualizações da produção: https://www.youtube.com/watch?v=IzXA0R0Q4VA CONFIRA OS OUTROS CANAIS DO JOVEM NERD E-MAILS Mande suas críticas, elogios, sugestões e caneladas para nerdcast@jovemnerd.com.br APP JOVEM NERD: Google Play Store | Apple App Store ARTE DA VITRINE: Randall Random Baixe a versão Wallpaper da vitrine EDIÇÃO COMPLETA POR RADIOFOBIA PODCAST E MULTIMÍDIA Learn more about your ad choices. Visit megaphone.fm/adchoices

Lambda lambda lambda, nerds! Para o bem de todos e felicidade geral da nação, reunimos o TIME DE ELITE para mais um papo sem qualquer compromisso com a pauta!  Junte-se aos nobres diplomatas Alottoni, Sr. K, Tucano, JP e Azaghal em insanas divagações desde como buracos negros negros dão beijo grego (nem perguntem...) até o imperdoável ROUBO de um grande ícone da cultura nacional. Jovem Nerd Esporte Clube Assista/ouça o novo programa do Universo JN em aúdio e vídeo no Spotify, YouTube e agregadores: https://linktr.ee/jnesporteclube CITADO NO PROGRAMA: Olho cyberpunk do Sr. K (clique apenas se tiver coragem, é sério) CONFIRA OS OUTROS CANAIS DO JOVEM NERD E-MAILS Mande suas críticas, elogios, sugestões e caneladas para nerdcast@jovemnerd.com.br APP JOVEM NERD: Google Play Store | Apple App Store ARTE DA VITRINE: Randall Random Baixe a versão Wallpaper da vitrine EDIÇÃO COMPLETA POR RADIOFOBIA PODCAST E MULTIMÍDIA Learn more about your ad choices. Visit megaphone.fm/adchoices

Lambda lambda lambda, nerds! É hora de falar sobre a impactante e (cada vez mais) sangrenta quarta temporada de INVENCÍVEL!  Neste NerdCast, Azaghal, Katiucha Barcelos, Carlos Voltor, Marcelo Bassoli e Almôndega se juntam (sem Alexandre Ottoni) à Coalizão de Planetas para analisar a série animada do Prime Video, com muita porradaria e tripas de fora, e claro, uma bela dose de BICOTES. Decolar Ofertas de viagens com até 50% OFF: https://jovemnerd.short.gy/decolar_nc Jovem Nerd Esporte Clube Acompanhe a Copa do Mundo no novo programa do universo Jovem Nerd. Assista/ouça no YouTube e Spotify: https://linktr.ee/jnesporteclube Crônicas de Ghanor no Troféu Ângelo Agostini Vote no nosso querido Fábio Yabu como Melhor Roteirista! Votação aberta ao público no link: https://bit.ly/4tbCBwi CONFIRA OS OUTROS CANAIS DO JOVEM NERD E-MAILS Mande suas críticas, elogios, sugestões e caneladas para nerdcast@jovemnerd.com.br APP JOVEM NERD: Google Play Store | Apple App Store ARTE DA VITRINE: Randall Random Baixe a versão Wallpaper da vitrine EDIÇÃO COMPLETA POR RADIOFOBIA PODCAST E MULTIMÍDIA Learn more about your ad choices. Visit megaphone.fm/adchoices

Pourquoi, en Corée du Sud, Google Maps, Google Translate et les AirTags sont relégués au second plan ? À travers le récit de voyage de Matthieu, on découvre l'écosystème local (Naver Maps, Papago…) et les raisons historiques, économiques et réglementaires qui ont permis l'émergence de géants nationaux face aux GAFAM et BATX. On compare ces choix avec l'Europe et la France pour comprendre comment un pays de taille comparable a bâti ses propres champions.En plateau Michaël de Marliave — animateur Matthieu Lambda — chroniqueur Tiffany Souterre — chroniqueuse Matthias Baccino — invité (Trade Republic)➤ Pour découvrir Mammouth IA : https://mammouth.ai/➤ Pour le Merch Micode et Underscore_ : https://traphic.fr/collections/micode⚠️ Précommandes avant le 15 Janvier ! Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

Lambda Weekly 04-19-26 by

Lambda Weekly 04-19-26 by

Lambda lambda lambda, nerds! Como diria um sábio: "Se for caro e burocrático, tudo me diverte?" No NerdCast de hoje, Alottoni e Azaghal recebem Altay de Souza, Ana Arantes e Sr. K para um papo divertido e científico sobre HOBBIES.  Descubra toda a ciência por trás daquele hábito ou atividade que te dá prazer (enquanto o resto do mundo explode), e por que você PRECISA arrumar um hobby o quanto antes (exatamente porque o mundo está explodindo!). Sociedade da Virtude: A Série Primeira temporada COMPLETA disponível na HBO Max e Adult Swim. Saiba mais: https://jovemnerd.short.gy/Spot_NCSVirtude Nerd na Cloud Ouça o mais novo episódio do podcast: https://jovemnerd.short.gy/Spot_NCloud24 CITADO NA LEITURA DE E-MAILS MK-II Aurora, da Dawn Aerospace   CONFIRA OS OUTROS CANAIS DO JOVEM NERD E-MAILS Mande suas críticas, elogios, sugestões e caneladas para nerdcast@jovemnerd.com.br APP JOVEM NERD: Google Play Store | Apple App Store ARTE DA VITRINE: Randall Random Baixe a versão Wallpaper da vitrine EDIÇÃO COMPLETA POR RADIOFOBIA PODCAST E MULTIMÍDIA Learn more about your ad choices. Visit megaphone.fm/adchoices

Matthieu Lambda a enquêté sur un réseau d'arnaques aux fast-foods qui détourne des comptes McDonald's et Burger King pour récupérer des menus gratuits via les points de fidélité. Il raconte son infiltration sur des forums et Discord, et les témoignages d'ados au cœur du trafic, dont l'un affirme avoir commandé 197 tacos en une seule fois. On décrypte les méthodes, l'économie souterraine qui s'en nourrit et comment s'en protéger.En plateau Michaël de Marliave — animateur Matthieu Lambda — chroniqueur Tiffany Souterre — chroniqueuse➤ Pour découvrir Mammouth IA : https://mammouth.ai/➤ Pour le Merch Micode et Underscore_ : https://traphic.fr/collections/micode⚠️ Précommandes avant le 15 Janvier ! Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

Lambda lambda lambda e de volta à Lua, nerds! No NerdCast de hoje, vestimos nossos trajes espaciais para discutir a missão que marca o retorno da humanidade à vizinhança lunar: a Artemis II! Junte-se a Alottoni, Pedro Pallotta (Space Orbit), Katiucha Barcelos, Marcel Campos e Azaghal numa viagem para entender todos os desafios técnicos absurdos, os orçamentos astronômicos e os perrengues inimagináveis de colocar quatro astronautas na ponta do gigantesco foguete SLS e atirá-los rumo ao futuro da exploração lunar. Superman Day com Carlos Voltor Participe do evento neste sábado, 18 de abril, a partir das 16h, na Galeria Magalu (Conjunto Nacional - São Paulo) CITADO NO PROGRAMA NerdCast 323 - Marte, Curiosity e a Fronteira Final: https://jovemnerd.com.br/podcasts/nerdcast/nerdcast-323-marte-curiosity-e-a-fronteira-final Pálido Ponto Azul, de Carl Sagan, narrado por Guilherme Briggs: https://www.youtube.com/watch?v=4_tiv9v964k Flickr oficial da NASA: https://www.flickr.com/photos/nasahqphoto/ Fotos da Artemis II explicadas por Hank Green: https://www.youtube.com/watch?v=oaXRREHVkHo CONFIRA OS OUTROS CANAIS DO JOVEM NERD E-MAILS Mande suas críticas, elogios, sugestões e caneladas para nerdcast@jovemnerd.com.br APP JOVEM NERD: Google Play Store | Apple App Store ARTE DA VITRINE: Randall Random Baixe a versão Wallpaper da vitrine EDIÇÃO COMPLETA POR RADIOFOBIA PODCAST E MULTIMÍDIA Learn more about your ad choices. Visit megaphone.fm/adchoices

Lambda Weekly 04-12-26 by

Lambda lambda lambda, nerds! No NerdCast de hoje, a pauta aproveitou o feriadão e foi curtir, enquanto por aqui, juntamos os casais Alottoni e Sra. Jovem Nerd e Portuguesa e Azaghal para um double date sem qualquer compromisso com a coerência!  Junte-se à roda para um papo completamente maluco, desde atletas ilegalmente "avantajados" até lore viking, passando por obrigatórios desvios escatológicos...  ATENÇÃO: NÃO PULE A LEITURA DE E-MAILS PARA UM RECADO ESPECIAL! #NerdCast20Anos NerdStore Estampas temáticas exclusivas A PRÓPRIA CARNE no hub da NerdStore na Lolja. Confira: http://nerdstore.com.br/ A Própria Carne ÚLTIMO FIM DE SEMANA para garantir produtos da campanha do filme, incluindo quadrinhos, livro e mais: http://apropriacarne.com.br/ CONFIRA OS OUTROS CANAIS DO JOVEM NERD E-MAILS Mande suas críticas, elogios, sugestões e caneladas para nerdcast@jovemnerd.com.br APP JOVEM NERD: Google Play Store | Apple App Store ARTE DA VITRINE: Randall Random Baixe a versão Wallpaper da vitrine EDIÇÃO COMPLETA POR RADIOFOBIA PODCAST E MULTIMÍDIA Learn more about your ad choices. Visit megaphone.fm/adchoices

This episode with Joachim Hill-Grannec asks: How do platforms bloat, and how do you keep them simple and fast with trunk-based dev and small batches? Which metrics prove it works—cycle time, uptime, or developer experience? Can security act as a partner that speeds delivery instead of a gate?   We are always happy to answer any questions, hear suggestions for new episodes, or hear from you, our listeners. DevSecOps Talks podcast LinkedIn page DevSecOps Talks podcast website DevSecOps Talks podcast YouTube channel Summary In this episode of DevSecOps Talks, Mattias speaks with Joachim Hill-Grannec, co-founder of Peltek, a boutique consulting firm specializing in high-availability, cloud-native infrastructure. Following up on a previous episode where Steve discussed cleaning up bloated platforms, Mattias and Joachim dig into why platforms get bloated in the first place and how platform teams should think when building from scratch. Their conversation spans cloud provider preferences, the primacy of cycle time, the danger of adding process in response to failure, and a strong argument for treating security and quality as enablers rather than gatekeepers. Key Topics Platform Teams Should Serve Delivery Teams Joachim frames the core question of platform engineering around who the platform is actually for. His answer is clear: the delivery teams are the client. Platform engineers should focus on making it easier for developers to ship products, not on making their own work more convenient. He connects this directly to platform bloat. In his experience, many platforms grow uncontrollably because platform engineers keep adding tools that help the platform team itself: "Look, I spent this week to make my job this much faster." But Joachim pushes back on this instinct — the platform team is an amplifier for the organization, and every addition should be evaluated by whether it helps a product get to production faster and gives developers better visibility into what they are working on. Choosing a Cloud Provider: Preferences vs. Reality The conversation briefly explores cloud provider choices. Joachim says GCP is his personal favorite from a developer perspective because of cleaner APIs and faster response times, though he acknowledges Google's tendency to discontinue services unexpectedly. He describes AWS as the market workhorse — mature, solid, and widely adopted, comparing it to "the Java of the land." Azure gets the coldest reception; both acknowledge it has improved over time, but Joachim says he still struggles whenever he is forced to use it. They observe that cloud choices are frequently made outside engineering. Finance teams, investors, and existing enterprise agreements often drive the decision more than technical fit. Joachim notes a common pairing: organizations using Google Workspace for productivity but AWS for cloud infrastructure, partly because the Entra ID (formerly Azure AD) integration with AWS Identity Center works more smoothly via SCIM than the equivalent Google Workspace setup, which requires a Lambda function to sync groups. Measuring Platform Success: Cycle Time Above All When Mattias asks how a team can tell whether a platform is actually successful, Joachim separates subjective and objective measures. On the subjective side, he points to developer happiness and developer experience (DX). Feedback from delivery teams matters, even if surveys are imperfect. On the objective side, his favorite metric is cycle time — specifically, the time from when code is ready to when it reaches production. He also mentions uptime and availability, but keeps returning to cycle time as the clearest indicator that a platform is helping teams deliver faster. This aligns with DORA research, which has consistently shown that deployment frequency and lead time for changes are strong predictors of overall software delivery performance. Start With a Highway to Production A major theme of the episode is that platforms should begin with the shortest possible route to production. Mattias calls this a "highway to production," and Joachim strongly agrees. For greenfield projects, Joachim favors extremely fast delivery at first — commit goes to production, commit goes to production — even with minimal process. As usage and risk increase, teams can gradually add automation, testing, and safeguards. The critical thing is to keep the flow and then ask "how do we make those steps faster?" as you add them, rather than letting each new step slow down the pipeline unchallenged. He also makes a strong case for tags and promotions over branch-based deployment, noting his instinctive reaction when someone asks "which branch are we deploying from?" is: "No branches — tags and promotions." The Trap of Slowing Down After Failure Joachim warns about a common and dangerous pattern: when a bug reaches production, the natural organizational reaction is not to fix the pipeline, but to add gates. A QA team does a full pass, a security audit is inserted, a manual review step appears. Each gate slows delivery, which leads to larger batches, which increases risk, which triggers even more controls. He sees this as a vicious cycle. Organizations that respond to incidents by slowing delivery actually get worse security, worse quality, and worse throughput over time. He references a study — likely the research behind the book Accelerate by Nicole Forsgren, Jez Humble, and Gene Kim — showing that faster delivery correlates with better security and quality outcomes. The organizations adding Engineering Review Boards (ERBs) and Architecture Review Boards (ARBs) in the name of safety often do not measure the actual impact, so they never see that the controls are making things worse. Mattias connects this to AI-assisted development, where developers can now produce changes faster than ever. If the pipeline cannot keep up, the pile of unreleased changes grows, making each release riskier. Getting Buy-In: Start With Small Experiments Joachim does not recommend that a slow, process-heavy organization throw everything out overnight. Instead, he suggests starting with small experiments. Code promotions are a good entry point: teams can start producing artifacts more rapidly without changing how those artifacts are deployed. Once that works, the conversation shifts to delivering those artifacts faster. He finds starting on the artifact pipeline side produces quicker wins and more organizational buy-in than starting with the platform deployment side, which tends to be more intertwined and higher-risk to change. Guiding Principles Over a Rigid Golden Path Mattias questions the idea of a single "golden path," saying the term implies one rigid way of working. Joachim leans toward guiding principles instead. His strongest principle is simplicity — specifically, simplicity to understand, not necessarily simplicity to create. He references Rich Hickey's influential talk Simple Made Easy (from Strange Loop 2011), which distinguishes between things that are simple (not intertwined) and things that are easy (familiar or close at hand). Creating simple systems is hard work, but the payoff is systems that are easy to reason about, easy to change, and easy to secure. His second guiding principle is replaceability. When evaluating any tool in the platform, he asks: "How hard would it be to yank this out and replace it?" If swapping a component would be extremely difficult, that is a smell — it means the system has become too intertwined. Even with a tool as established as Argo CD, his team thinks about what it would look like to switch it out. Tooling Choices and Platform Foundations Joachim outlines the patterns his team typically uses when building platforms, organized into two paths: Delivery pipeline (artifact creation): - Trunk-based development over GitFlow - Release tags and promotions rather than branch-based deployment - Containerization early in the pipeline - Release Please for automated release management and changelogs - Renovate for dependency updates (used for production environment promotions from Helm charts and container images) Platform side (environment management): - Kubernetes-heavy, typically EKS on AWS - Karpenter for node scaling - AWS Load Balancer Controller only as a backing service for a separate ingress controller (not using ALB Ingress directly, due to its rough edges) - Argo CD for GitOps synchronization and deployment - Argo Image Updater for lower environments to pull latest images automatically - Helm for packaging, despite its learning curve He notes that NGINX Ingress Controller has been deprecated, so teams need to evaluate alternatives for their ingress layer. Developers Should Not Be Fully Shielded From Operations One of the more nuanced parts of the conversation is how much operational responsibility developers should have. Joachim rejects both extremes. He does not think every developer needs to know everything about infrastructure, but he has seen too many cases where developers completely isolated from runtime concerns make poor decisions — missing simple code changes that would make a system dramatically easier to deploy and operate. He advocates for transparency and collaboration. Platform repos should be open for anyone on the dev team to submit pull requests. When the platform team makes a change, they should pull in developers to work alongside them. This way, the delivery team gradually builds a deeper understanding of how the whole system works. Joachim loves the open-source maintainer model applied inside organizations: platform teams are maintainers of their areas, but anyone in the organization should be able to introduce change. He warns against building custom CLIs or heavy abstractions that create dependencies — if a developer wants to do something the CLI does not support, the platform team becomes a bottleneck. Mattias adds that opening up the platform to contributions also exposes assumptions. What feels easy to the person who built it may not be easy at all; it is just familiar. Outside contributors reveal where the system is actually hard to understand. Designers, Not Artists: Detaching Ego From Code Joachim shares an analogy he prefers over the common "developers as artists" framing. He sees developers more like designers than artists, because an artist's work is tied to their identity — they want it to endure. A designer, by contrast, creates something to serve a purpose and expects it to be replaced when something better comes along. He applies this to platforms and infrastructure: "I want my thing to get wiped out. If I build something, I want it to get removed eventually and have something better replace it." Organizations where ego is tied to specific systems or tools tend to resist change, which leads to the kind of dysfunction that keeps platforms bloated and brittle. Complexity Is the Enemy of Security Mattias raises the difficulty of maintaining complex security setups over time, especially when the original experts leave. Joachim responds firmly: complexity is anti-security. If people cannot comprehend a system, they cannot secure it well. He acknowledges that some problems are genuinely hard, but argues that much of the complexity engineers create is unnecessary — driven by ego rather than need. "The really smart people are the ones that create simple things," he says, wishing the industry would redirect its narrative from admiring complicated systems to admiring simple ones. Security and QA as Internal Consulting, Not Gatekeeping Joachim draws a parallel between security and QA. He dislikes calling a team "the quality team," preferring "verification" — they are one component of quality, not the entirety of it. Similarly, security is not one team's responsibility; it spans product design, development practices, tooling, and operations. His ideal model is for security and QA teams to operate as internal consultants whose goal is to reduce risk and improve the overall system — not to catch every possible issue at any cost. The framing matters: if a security team's mandate is simply "block all security issues," the logical conclusion is to stop shipping or delete the product entirely. That may be technically secure, but it is useless. He frames security as risk management: "Security is a risk management process, not just security for the sake of security. You're managing the risk to the business." The goal should be to deliver faster and more securely — an "and," not an "or." Mattias recalls a PCI DSS consultant joking over drinks that a system being down is perfectly compliant — no one can steal card numbers if the system is unavailable. The joke lands because it exposes exactly the broken incentive Joachim describes. Business Value as the Unifying Frame The episode closes by tying everything back to business outcomes. Joachim argues that speed and security are not opposites; both contribute to business value. Fast delivery creates value directly, while security reduces business risk — and risk management is itself a business operation. He explains why focusing on the highest-impact business bottleneck first builds trust. When you hit the big items first, you earn credibility, and subsequent changes become easier to justify. For example, one of his clients has a security group that is the slowest part of their organization. Speeding up that security process would have a massive impact on business delivery — more than optimizing the artifact pipeline. Mattias reflects that he used to see platform work as separate from business concerns — "I don't care about the business, I'm here to build a platform for developers." Looking back, he would reframe that: using business impact as the measure of platform success does not mean abandoning the focus on developers, it means having a clearer way to prioritize and demonstrate value. Highlights Joachim on platform bloat: "Your job is not to make your job faster and easier — you're an amplifier to the organization." Joachim on his favorite metric: "Cycle time is my favorite metric. I love cycle time metrics." Joachim on deployment strategy: "No branches, no branches — tags and promotions." Mattias on platform design: He calls the ideal early setup a "highway to production." Joachim on simplicity vs. ease: He references Rich Hickey's Simple Made Easy talk — "It's very hard to create simple systems that are easy to reason about. And it's very easy to create systems that are very hard to reason about." Joachim on replaceability: "If swapping a tool out would be extremely hard, that's a pretty big smell." Joachim on complexity and security: "If it's complicated, you just can't keep all the context together. Simple systems are much easier to be secure." Joachim on engineering ego: "I don't particularly like the aspect of [developers as] artists... I want my thing to get wiped out. I want it to get removed eventually and have something better replace it." He prefers the analogy of designers over artists, because artists tie their identity to their creations. Joachim on security as a blocker: "If their goal is we are going to block every security issue, the best way to do that is delete your product." Spicy cloud takes: Joachim calls GCP his favorite cloud for developers, compares AWS to "the Java of the land," and says he still struggles every time he is forced to use Azure. PCI DSS dark humor: Mattias recalls a consultant joking that a downed system is perfectly compliant — you cannot steal card numbers from a system that is not running. Joachim on the slow-down trap: Organizations add ERBs, ARBs, and manual security gates after incidents, but "the faster you can deliver, you actually get better security, better quality, and better throughput — and the more you slow it down, you go the opposite." Resources Simple Made Easy by Rich Hickey (InfoQ) — The influential 2011 talk Joachim references on distinguishing simplicity from ease in system design. DORA Metrics: The Four Keys — The research framework behind cycle time, deployment frequency, and the finding that speed and stability are not tradeoffs. Trunk Based Development — A comprehensive guide to the branching strategy Joachim recommends over GitFlow. Argo CD — Declarative GitOps for Kubernetes — The GitOps tool Joachim's team uses for cluster synchronization and deployment. Release Please (GitHub) — Google's tool for automated release management based on conventional commits, used by Joachim's team for tag-based promotions. Karpenter — Kubernetes Node Autoscaler — The node autoscaler Joachim's team uses with EKS for fast, flexible scaling. Renovate — Automated Dependency Updates — The dependency management bot Joachim uses for both build dependencies and production environment promotions.

Lambda lambda lambda, nerds! Nós estávamos lá... Estávamos lá 25 anos atrás...  No NerdCast de hoje, Alottoni, Marcelo Bassoli, Tucano, Carlos Voltor, Portuguesa e Azaghal retornam à Terra-Média para celebrar os 25 ANOS de estreia de O Senhor dos Anéis nos cinemas!  Vamos falar sobre o MILAGRE cinematográfico de Peter Jackson, suas irretocáveis inovações tecnológicas e por que a franquia segue viva e eternamente acesa como uma chama de esperança nos nossos corações nerds. NerdStore Pijamas Cthulhu e mais produtos exclusivos Jovem Nerd no nosso novo hub na Lolja: nerdstore.com.br Petlove Conheça o plano de saúde Petlove: Plano de Saúde Pet: proteja seu cão ou gato agora! | Petlove Utilize o cupom JOVEMNERD50 e garanta 50% de desconto na primeira mensalidade *Exceto Plano Leve. Promoção por tempo limitado, não acumulativo com outras promoções. Consulte a disponibilidade na sua região. Mais informações no site da Petlove. Estante Virtual Volta às aulas 2026. Use o cupom FACULDADE e garanta descontos em livros universitários: https://jovemnerd.short.gy/evnc_3 CONFIRA OS OUTROS CANAIS DO JOVEM NERD E-MAILS Mande suas críticas, elogios, sugestões e caneladas para nerdcast@jovemnerd.com.br APP JOVEM NERD: Google Play Store | Apple App Store ARTE DA VITRINE: Randall Random Baixe a versão Wallpaper da vitrine EDIÇÃO COMPLETA POR RADIOFOBIA PODCAST E MULTIMÍDIA Learn more about your ad choices. Visit megaphone.fm/adchoices

Lambda Weekly 03-01-26 by

Join us on this episode of ChopTalk as we dive into the Second Annual Lambda Chi Alpha Charity Golf Classic hosted by Omicron-Epsilon Zeta (San Diego Regional Chapter)! High Theta Gavin Shea (San Diego State, '28) shares the story behind this impactful event, from its inspiration to the incredible community support it brings together. Hear how Brothers and local partners are making a difference, and get a behind-the-scenes look at what goes into organizing a charity event that truly serves a purpose.

Lambda lambda lambda, nerds! Hora de reunir nossos congressistas para mais uma sessão de debate baseada na clássica ADEDANHA!  Neste NerdCast, Alottoni, Portuguesa, Marcelo Bassoli, Tucano, Dubox e Azaghal usarão o melhor de suas habilidades argumentativas para vencer este jogo divertido e maluco, que vai desde Odete Roitman a Saint Seiya! NerdStore Pijamas Cthulhu, NerdCast RPG e muito mais produtos nerds no nosso novo hub na LOLJA: http://nerdstore.com.br/ Estante Virtual Use o cupom FACULDADE e garanta descontos em livros universitários: https://jovemnerd.short.gy/evnc_5 CONFIRA OS OUTROS CANAIS DO JOVEM NERD E-MAILS Mande suas críticas, elogios, sugestões e caneladas para nerdcast@jovemnerd.com.br APP JOVEM NERD: Google Play Store | Apple App Store ARTE DA VITRINE: Randall Random Baixe a versão Wallpaper da vitrine EDIÇÃO COMPLETA POR RADIOFOBIA PODCAST E MULTIMÍDIA Learn more about your ad choices. Visit megaphone.fm/adchoices

Send us Fan MailInvest in pre-IPO stocks with AG Dillon & Co. Contact aaron.dillon@agdillon.com to learn more. Financial advisors only. www.agdillon.com00:00 - Intro00:49 - Vast Data rockets to $30B after a $1B raise and a +229.7% valuation jump01:51 - Kalshi hits $22B as revenue reaches $1.5B and monthly volume tops $10B02:53 - Fal races to $8B with revenue at $400M and growth hitting +100% in months03:43 - Yotta targets $4B valuation with a $1B capital plan and 30,000+ next-gen GPUs on deck04:41 - Mastercard acquires BVNK for $1.8B05:37 - Canva heads toward IPO territory at $47B with $4B revenue and 265M users06:48 - Unitree files to raise $610M after hitting $248M revenue and #1 humanoid shipments07:33 - Nvidia's Huang likes their Lambda, Together AI, and Nscale investments08:38 - Gecko Robotics lands a $54M Navy award with a $71M ceiling and 18 ships to start09:31 - Mistral pushes deeper into enterprise with ‘Mistral Forge' launch10:33 - OpenAI is folding 3 products into 1 superapp as IPO prep accelerates11:37 - OpenAI is reorganizing for a $665B compute buildout with a 6GW AMD chip deal12:48 - Atoms brings Travis Kalanick back with $100M from Uber13:30 - xAI offers forward deployed engineers as it chases enterprise growth with Shift4 win

La Chine a proposé de nouvelles règles pour limiter l'addiction aux jeux vidéo free-to-play, au point de faire vaciller en Bourse des géants comme Tencent. On analyse les mécaniques de monétisation (gacha, récompenses, wallets) qui ciblent les « baleines » et rendent ces jeux si rentables. On débat de ce qu'une régulation pourrait changer pour les joueurs et l'industrie, entre éthique, design et économie.Sources Le plus gros scandale du jeu-vidéoEn plateau Michaël de Marliave — animateur Matthieu Lambda — chroniqueur Tiffany Souterre — chroniqueuse➤ Pour découvrir Mammouth IA : https://mammouth.ai/➤ Pour le Merch Micode et Underscore_ : https://traphic.fr/collections/micode⚠️ Précommandes avant le 15 Janvier ! Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

Lambda lambda lambda, agentes secretos! O NerdCast desta semana está ZERO POR CENTO IMPARCIAL em nossas expectativas finais para o Oscar 2026 e Brasil em Hollywood!  Neste episódio, Alottoni e Azaghal recebem Aline Diniz, Marcelo Forlani, Max Valarezo e Carlos Voltor para uma visão geral dos principais filmes da disputa, e nossas apostas finais dos campeões e zebras (merecidas ou não) para a maior premiação do cinema. Oscar de Pijama Domingo, 15 de março, a partir das 18h30, no YouTube do Jovem Nerd: https://youtube.com/live/R6scb811NiA NerdStore Pijamas Cthulhu e mais novidades na LOLJA: http://nerdstore.com.br/ Elo O cartão da torcida brasileira na maior premiação do cinema: https://jovemnerd.short.gy/elo_nc2 Estante Virtual Use o cupom FACULDADE para garantir descontos em livros universitários: https://jovemnerd.short.gy/evnc_4 CONFIRA OS OUTROS CANAIS DO JOVEM NERD E-MAILS Mande suas críticas, elogios, sugestões e caneladas para nerdcast@jovemnerd.com.br APP JOVEM NERD: Google Play Store | Apple App Store ARTE DA VITRINE: Randall Random Baixe a versão Wallpaper da vitrine EDIÇÃO COMPLETA POR RADIOFOBIA PODCAST E MULTIMÍDIA Learn more about your ad choices. Visit megaphone.fm/adchoices

Mitesh Agrawal has a background in Mechanical Engineering. He was one of the co-founders of Lambda, a company in the supercomputing space, where he spent 8.5 years working on everything under the sun. He's very grateful to be in an industry that is booming, but also aligns with his personal interests. Outside of tech, he is married to an ultra supportive wife, and is enjoying being a new father. He enjoys playing tennis, when he can find time to get to the court, and enjoys a good sci-fi book. He mentioned the Foundation series was one of his favorites, but admits it changes depending on the season.In 2023, the officers at Mitesh's current venture noticed all of the advancements of AI - in particular, model sizes getting larger. What they realized was that when it comes to inference, memory capacity quickly became a problem... and with this, he and the team got excited about building a new architecture to make it better.This is the creation story of Positron.SponsorsUnblockedTECH DomainsMezmoBraingrid.aiLinkshttps://www.positron.ai/https://www.linkedin.com/in/mitesh7/Support this podcast at — https://redcircle.com/codestory/donationsAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

study the present tense conjugation of the verb μιλάω.

Lambda lambda lambda, nerds! Sim, estamos de volta para mais um papo maluco sem qualquer compromisso com a pauta (além da diversão, conversa mole e opiniões fecais duvidosas!).  Neste NerdCast, Alottoni, Didi Braguinha, Sr. K, Pedro Duarte, Katiucha Barcelos e Tucano divagam do pagode brasileiro da década de 1990 ao "mamilaçogate" do Kratos live-action, passando pelo gosto musical elevado do nosso amado Fredola e até por TRAPAÇA em Olimpíada?! Oscar de Pijama e NerdStore Acompanhe a maior premiação do cinema com a gente! Dia 15 de março, no YouTube do Jovem Nerd: https://jovemnerd.short.gy/Oscar_Pijama_live NerdStore agora na LOLJA! Acesse o catálogo em: www.nerdstore.com.br Elo O cartão da torcida brasileira: https://jovemnerd.short.gy/elo_nc1 A Própria Carne Sessão de bate-papo e autógrafos da HQ e livro do filme dia 9 de março (segunda-feira), na Galeria Magalu (Avenida Paulista - São Paulo). Saiba mais: https://www.instagram.com/p/DVgl90Xkf23/ Magalu Cloud Ouça o Nerd na Cloud 23: https://jovemnerd.com.br/podcasts/nerd-na-cloud/green-it-o-futuro-da-sustentabilidade-na-nuvem CITADO NO PROGRAMA: Mamilaço do Kratos em God of War  CONFIRA OS OUTROS CANAIS DO JOVEM NERD E-MAILS Mande suas críticas, elogios, sugestões e caneladas para nerdcast@jovemnerd.com.br APP JOVEM NERD: Google Play Store | Apple App Store ARTE DA VITRINE: Randall Random Baixe a versão Wallpaper da vitrine EDIÇÃO COMPLETA POR RADIOFOBIA PODCAST E MULTIMÍDIA Learn more about your ad choices. Visit megaphone.fm/adchoices

An airhacks.fm conversation with Thorsten Hoeger (@hoegertn) about: first computer experience with an IBM 8086 and learning programming by modifying the QBasic Gorilla game, early programming journey from QBasic to Visual Basic and the discovery of event-driven programming, building a password security script for autoexec.bat as a childhood project, transition from Visual Basic to Java around 2005 starting with Java 1.4.2, working at a small bank in Stuttgart building a core banking system, experience with Eclipse RCP rich client platform and the overhead of plugin architecture in business software, migration from Swing to Eclipse RCP frontend with JBoss application server backend, building a custom Spring-based microservice framework called Dwallin (Icelandic for dwarf) before Spring Boot existed, using Apache CXF for REST and RPC over messaging with ActiveMQ, comparison of Java development trajectories between annotation-based and XML-heavy approaches, discussion of the infamous Java and XML O'Reilly book that popularized XML configuration, xdoclet as a precursor to Java annotations, contrasting approaches of JBoss-based thin WAR deployments versus Spring-based embedded server microservices, university experience learning Ada programming language and its strict compiler as excellent for learning programming, PL/SQL's Ada-based origins, brief experience with OSGi and strong criticism of its complexity and poor developer experience, comparison of OSGi with Java Platform Module System (JPMS), founding Taimos consulting company 10 years ago originally building BlackBerry enterprise software, pivoting to AWS migration consulting for regulated industries including banks and insurance companies, strong preference for serverless architecture with lambda Step Functions API Gateway and DynamoDB, criticism of running kubernetes on AWS versus using native services like ECS Fargate, the distinction between running "in the cloud" versus "on the cloud", detailed discussion of why GraalVM native images are unnecessary on AWS Lambda due to compliance overhead and memory allocation model, quarkus and SnapStart as solutions for Lambda cold start problems, Java's cost efficiency on Lambda due to fast execution times, involvement with AWS CDK since 2018-2019 including building L2 constructs for EC2 and AppSync, shift from code contributions to community organizing and prioritization work with the CDK team, launching CDK Terrain as successor to CDK for Terraform, nuanced discussion of open source economics when the project primarily benefits a paid cloud provider, using GitHub as a personal index and dashboard for reusable project templates, consulting perspective on contributing to open source for code reuse across multiple clients, teaser for a future deep-dive episode on CDK internals and promoting Java usage with CDK Thorsten Hoeger on twitter: @hoegertn

Lambda lambda lambda, nerds! Seria um sonho, ou Game of Thrones realmente está nos deixando FELIZES DE NOVO?! Neste NerdCast, Alottoni, Tucano, Katiucha Barcelos, Marcelo Bassoli, Eduardo Spohr e Azaghal juram lealdade a O Cavaleiro dos Sete Reinos, a série que conquistou nossos corações com a divertida, fofa e emocionante aventura de Dunk, seu fiel escudeiro Egg, e nosso novo personagem favorito de todos os sete (ou nove) reinos, LYONEL BARATHEON, O TEMPESTADE RISONHA! Oscar de Pijama 2026 Acompanhe a premiação com JN, Azaghal, Katiucha, Max Valarezo e Desce a Letra Show. Dia 15 de março, a partir das 19h, no YouTube do Jovem Nerd: https://www.youtube.com/watch?v=R6scb811NiA Bem Brasil Assista ao Oscar de Pijama com o gostinho da melhor batata frita do Brasil: https://jovemnerd.short.gy/bb_nc1 Nerdologia Política Internacional 2025 Assista/ouça ao programa no YouTube: https://www.youtube.com/watch?v=i3kdLq42u2k Estante Virtual Volta às aulas 2026. Use o cupom FACULDADE e garanta descontos em livros universitátrios: https://jovemnerd.short.gy/evnc_2 NERDCAST NO YOUTUBE! Acompanhe a publicação de novos programas no canal oficial do Jovem Nerd, e arquivo do NerdCast no canal oficial do podcast: https://youtube.com/@nerdcastjovemnerd?si=ITSiGd08IABGI8yL  CONFIRA OS OUTROS CANAIS DO JOVEM NERD E-MAILS Mande suas críticas, elogios, sugestões e caneladas para nerdcast@jovemnerd.com.br APP JOVEM NERD: Google Play Store | Apple App Store ARTE DA VITRINE: Randall Random Baixe a versão Wallpaper da vitrine EDIÇÃO COMPLETA POR RADIOFOBIA PODCAST E MULTIMÍDIA Learn more about your ad choices. Visit megaphone.fm/adchoices

Neurologic complications of hematologic disorders are frequently encountered in clinical practice and can involve both the central and peripheral nervous systems. Early recognition and appropriate management in collaboration with a hematologist are essential to reduce morbidity and mortality. In this episode, Kait Nevel, MD, speaks with Lauren Patrick, MD, and Mark Terrelonge, MD, MPH, authors of the article "Neurologic Complications of Hematologic Disorders" in the Continuum® February 2026 Neurology of Systemic Disease issue. Dr. Nevel is a Continuum® Audio interviewer and a neurologist and neuro-oncologist at Indiana University School of Medicine in Indianapolis, Indiana. Dr. Patrick is an assistant professor of neurology at the University of California, San Francisco, in San Francisco, California. Dr. Terrelonge is an associate professor of neurology at the University of California, San Francisco, in San Francisco, California. Additional Resources Read the article: Neurologic Complications of Hematologic Disorders Subscribe to Continuum®: shop.lww.com/Continuum Earn CME (available only to AAN members): continpub.com/AudioCME Continuum® Aloud (verbatim audio-book style recordings of articles available only to Continuum® subscribers): continpub.com/Aloud More about the American Academy of Neurology: aan.com Social Media facebook.com/continuumcme @ContinuumAAN Host: @IUneurodocmom Full episode transcript available here Dr Nevel: Thick blood, thin blood. These are terms often used by patients and caregivers to describe some of the hematologic disorders that can lead to neurological diseases such as stroke. So, when should we consider a hematologic disorder as a potential cause for neurological conditions, such as stroke or neuropathy. Today I have the opportunity to interview Drs Lauren Patrick and Mark Terrelonge to learn more about neurologic complications of hematologic disorders in their recent article in Continuum. Dr Jones: This is Dr Lyell Jones, editor-in-chief of Continuum. Thank you for listening to Continuum Audio. Be sure to visit the links in the episode notes for information about earning CME, subscribing to the journal, and exclusive access to interviews not featured on the podcast. Dr Nevel: Hello, this is Dr Kate Nevel. Today I'm interviewing Drs Lauren Patrick and Mark Terrelonge about their article on neurologic complications of hematologic disorders. This article appears in the February 2026 Continuum issue on neurology of systemic disease. Welcome to the podcast, and please introduce yourself to the audience. Dr Patrick: Thank you for having us. We're both thrilled to be here. I'm Lauren Patrick, a vascular neurologist and assistant professor at the University of California, San Francisco, and program director for the Vascular Neurology Fellowship here. Dr Terrelonge: And I'm Mark Terrelonge, I'm an associate professor of neurology and neuromuscular medicine here at UCSF and one of the associate program directors for the adult neurology residency. Nice to meet you. Dr Nevel: Nice to meet you both. Really looking forward to getting into your article and learning more. So, to kind of kick us off, I always like to ask what do you think is the most important takeaway from your article for the practicing neurologist? And maybe since there are two of you and I suspect you covered slightly different aspects of this article, maybe you could give us two most important takeaways. Dr Patrick: Sure. I think the biggest takeaway is to keep hematologic disorders on the differential when evaluating patients with neurologic symptoms. Conditions like sickle cell disease, myeloproliferative neoplasms, or plasma cell dyscrasias and paraproteinemia can cause strokes or peripheral neuropathies, and many have specific and targetable treatments. The early recognition and collaboration with our hematology colleagues can truly change patient outcomes, whether that's by initiating cytoreductive therapy, managing thrombocytopenia, or optimizing antithrombotic therapy. Dr Nevel: Great. So, this is a really big and diverse topic. As always, I'm going to urge our listeners to read the article because there is a lot of really good stuff in your article that we just don't have time to get into during this interview today. But you cover a lot of different hematological disorders and how they can cause neurological complications. One of the major neurological complications of hematological disorders is cerebral vascular events. So, I'm hoping, Warren, that you can walk us through a little bit. When should we consider workup of potential hematologic disorder as a cause when we see a patient with ischemic stroke, because certainly not all patients with ischemic stroke should be getting a broad hematological disorder work up. So how can we kind of identify early on that there might be something else at play? Dr Patrick: Absolutely, great question. So, in many cases, the underlying hematologic disorder is already known, such as sickle cell disease or polycythemia vera. But sometimes stroke is the initial presentation or manifestation of the disease. So red flags can include young age, recurrent cryptogenic strokes or thrombosis, and unusual locations like the cerebral venous system. Laboratory clues such as unexplained erythrocytosis, thrombocytosis, thrombocytopenia, or hemolytic anemia should raise suspicion for an occult hematologic disorder. In the setting of acute illness, immune-mediated or heparin-induced thrombocytopenia or thrombotic microangiopathies should be suspected in patients that have hemorrhagic and or thrombotic complications, particularly when relevant lab disturbances are present. Acquired thrombophilia such as anti-phospholipid antibody syndrome should be considered in young patients with autoimmune disease, prior venous or arterial thrombotic complications, or pregnancy morbidity. Now, these are rare causes overall, but they're important to catch because the management can differ dramatically from our typical stroke care. Dr Nevel: Great. And what are some of the most common inherited or acquired thrombophilias and when should we be sending these labs? Dr Patrick: The hematologic causes really account for small minority of arterial strokes approximately one to two percent, but among those, sickle cell disease, anti-phospholipid antibody syndrome and the myeloproliferative neoplasms are the most common. Timing of testing is key. So, the genetic thrombophilia panels can be drawn at presentation, but lab values such as protein C, protein S, and antithrombin levels may be falsely low during acute thrombosis, so they're often repeated weeks later. Similarly, for anti-phospholipid antibody testing that should be done at presentation and when positive, confirmed at twelve weeks, since transient positivity can occur with affections or acute events. So, in patients that are already anticoagulated for anti-phospholipid antibody syndrome, testing becomes particularly tricky, especially with lupus anticoagulant assays. Some results need to be interpreted carefully or repeated when feasible. The main message is to collaborate early with our hematology colleagues to guide the timing and interpretation of these studies. Dr Nevel: Yeah, wonderful. Thank you. I'll ask some similar questions about neuropathy. So when should we consider an underlying hematologic disorder as being the cause for someone's neuropathy? Dr Terrelonge: So, luckily for a neurologist, then serum protein electrophoresis or an SPEP is already a part of the first pass evaluation for even the most common neuropathies we see, technically already considered every time we do an evaluation. However, we do know that most neuropathies progress very slowly and don't really lead to significant limitations in patient activities of daily living. And for those, the initial workup step, you may not need to do any additional search for any hematologic diseases after that first step. Within patients who start to have more unusual features with their neuropathy, including a rapid progression, early proximal weakness, significant and extremely painful neuropathies, significant ataxia, or new tremor or anything that's kind of outside of the garden variety neuropathy, then you should start to think about a hematologic cause. Additionally, if a patient already has a known hematologic malignancy or process before their neuropathy, there should be some form of assessment to see through exam or electrodiagnostically if the two are correlated. I do have to add one caveat, though, and that's just because someone has a hematologic malignancy or a paraprotein seen in their blood, their neuropathy and the neurologic syndrome don't necessarily have to be causally related. So, we have to do some additional testing to determine if the patient's presentation of the paraprotein are actually linked. Dr Nevel: Can you walk us through a little bit how we determine if they're associated or just coincidental? Dr Terrelonge: Yeah. So, for some of the proteins, there's a specific phenotype that will come with the specific protein. For example, an anti MAG proteinopathies or MAG standing for a myelin associated glycoprotein, it usually leads to a distal sensor and motor polyneuropathy where the most distal portions of nerves are affected. So, in that case, people might notice that they have numbness and weakness in their toes and their fingers, and it doesn't follow that typical length dependent pattern. So, in that case, if you have the anti mag neuropathy and the electrodiagnostic signature of an anti mag neuropathy along with the symptoms, you're more likely to think that the two are related then if not. Dr Nevel: Great. Thank you. And I was hoping you could speak a little bit more about amyloidosis just because I think that that's one that can be really tricky to diagnose. And I see patients, you know, have sometimes more drawn out evaluations or see multiple providers before a diagnosis is reached. So, can you speak a little bit more to how we diagnose amyloidosis in relationship to neuropathy or other neurological conditions and when we should push for more invasive testing like a nerve biopsy? Dr Terrelonge: So, amyloidosis certainly is a tricky diagnosis. I've been tricked by it and I think most of my neuromuscular colleagues have probably been tricked by it at least once. It's a hard diagnosis to make is it usually requires a pretty high index of suspicion, and also requires a tissue diagnosis to cinch. There're some patients who will come in with a prior history of amyloidosis and they're a little bit easier to figure out if the neuropathy is related. Maybe it's started in their heart or their kidney first and then you can just see if the type of amyloid they have usually deposits in nerve, and that may be enough. But if there's any diagnostic uncertainty, you could go forward with tissue biopsy. But it's patients in which the neuropathy is the first symptom that amyloidosis can be especially tricky to diagnose. It's a primarily light chain disease. So, if you do only an SPEP as a part of your initial neuropathy evaluation, you could miss it. But usually, the patients will have either a severely painful neuropathy, early autonomic dysfunction, or really prominent bilateral carpal tunnel syndrome. So, if they have any of those, usually we'll add in an amyloid workup as a part of that of the rest of the workup, which would include both light chain evaluations to see if there's any increase in Lambda or Kappa light chains and then also biopsy. Biopsy can be of the skin or fat pad first, which have reasonable sensitivity for picking up disease, but they're not necessarily a hundred percent. So if the suspicion remains high in those cases, a nerve biopsy should be considered. And the reason why this is important is that the chemotherapeutic agents that we have now can actually help arrest a lot of these diseases and stop further organ involvement. So, if you think about it, it is important to keep pushing and looking until you find it. Dr Nevel: Thank you so much for that. And a follow up question to that, once patients are started on appropriate therapy, the diagnosis is made, chemotherapy is started, what's the typical clinical course that you see in terms of their neuropathy? Do you ever see improvement or is it arrest of worsening? Dr Terrelonge: Usually for amyloid, there is an arrest of disease, but in some patients, they could have some improvement, not necessarily a dramatic improvement, but some patients could see some reversal of symptoms. That may not necessarily be because nerves injured nerves are regrowing, but because of reorganization of nerves to muscle, they could have some strength increases or at least less pain. Dr Nevel: Yeah, thank you. So, when should we involve a hematologist in aiding in the evaluation of patients we suspect may have an underlying hematological disorder? You guys really outlined very nicely in your article some of the laboratory workup or other workup like you just talked about with amyloidosis. But at what point in that workup should we reach out to our hematology colleagues? Dr Patrick: I would say almost always. So, these disorders are inherently multi-system and benefit from early co-management. In acute sickle cell stroke, for example, hematology helps direct emergent exchange transfusion. For myeloproliferative disorders they guide cyto reduction and long term antithrombotic strategy. And for antibody mediated or plasma cell disorders, hematology determines disease specific therapies. So, neurology may help with identifying the presentation, but the definitive management is almost always shared with our hematology colleagues. Dr Nevel: And as you both have mentioned that a lot of times in these cases, their hematologic disorder may be already known before they present with their neurological symptoms. So, I imagine obviously in those cases that a hematologist hopefully is already heavily involved in their care. What do you think is the most difficult aspect of identifying and diagnosing patients with neurologic illness as having an underlying hematological disorder? Dr Patrick: The hardest part is maintaining a high index of suspicion, especially since hematologic causes account for a very small minority of arterial strokes. Most strokes are from traditional vascular risk factors like you mentioned, or cardio embolism, so it's easy to stop diagnostic evaluation after standard studies have been performed. An example of a challenging case is a patient that's young, they've had recurrent cryptogenic stroke, and they could have antiphospholipid antibody syndrome, but it can be easy to miss if their antibody titers are borderline or if they're already anticoagulated, which would complicate retesting. So, it's about balancing the urge to over-test with recognizing the few cases where identifying A hematologic cause truly changes that management. Dr Terrelonge: And then on the neuropathy side, probably the hardest part is deciding what's causal and what's coincidence. Monoclonal gammopathy of unknown significance, or MGUS, is really common in older adults, so not every M-spike on an SPEP explains a neuropathy. And even sometimes there's times when the neurologic picture will develop a little bit faster than the hematologic one. So, it's hard to put the two together. Dr Nevel: Yeah. What's the most rewarding aspect of taking care of patients with complications from their hematologic disorders? Dr Patrick: It's deeply rewarding when a targeted diagnosis leads to a tangible improvement in that patient's care. For example, identifying A cryptogenic stroke is being due to myeloproliferative neoplasm or an inherited thrombophilia allows us to move from empiric treatment to possible disease specific strategy. It's really gratifying to give patients that clarity, to give them a diagnosis and in some cases prevent future events. Dr Terrelonge: Agreed. And even on the neuropathy side, almost all of the neuropathies that are hematologically related are treatable. So, it's so satisfying whenever you have a patient with say an anti-MAG neuropathy or Waldenström can start the patient on therapy, and you can see someone who's been having a progressive decline to stability and in those cases sometimes even significant recovery. Dr Nevel: Yeah, absolutely. Very rewarding when you can identify the problem and make it better. That's what it's all about. So, what are the future areas of research in this area? What do we still need to learn? Dr Patrick: There's still a lot to learn. I think we need better data on the safety of acute reperfusion therapy and antithrombotic agents, particularly in patients that are at dual risk for bleeding and thrombosis. Other examples, secondary prevention strategies and anti-phospholipid antibody syndrome. What's the best target INR? Do you add aspirin to warfarin or not? All of that is often left up to expert opinion. What's the best management for adults with sickle cell stroke? There are many open questions there. A lot of the protocols that we have in place for sickle cell patients that are adults as derived from pediatric literature and there's vast potential in terms of disease modifying therapies, especially in the fields of sickle cell disease and amyloidosis. And we'll need to reassess how those treatments may change neurologic outcomes. Dr Terrelonge: I think on the neuropathy side that having some form of new biomarkers to help us clearly know of the neuropathy and that hematologic illness are associated would be very helpful. On the treatment side, a lot of this is really being driven by the hematology space, but new therapies that treat hematologic plasma cell disorders, including some of the new BTK inhibitor, may be incorporated relatively soon into the algorithm for how we treat many of our patients. I'm excited to see what's to come from this. Dr Nevel: Wonderful. Thank you so much for sharing your knowledge with us today. I know I've certainly learned a lot by reading your article and through our discussion today. Highly encourage our listeners to read your wonderful article, which is a very thorough review of hematologic disorders and neurological complications. Again, today I've been interviewing Dr Lauren Patrick and Dr Mark Terrelonge on their article Neurologic Complications of Hematologic Disorders, which appears in the February 2026 Continuum issue on Neurology of Systemic Disease. Please be sure to check out Continuum Audio episodes from this and other issues. And as always, thank you so much to our listeners for joining today, and thank you so much to Lauren and Mark. Dr Terrelonge: Yeah, thank you so much for having us. Dr Patrick: Thank you so much for having us and for highlighting this topic. We hope the issue encourages clinicians to think broadly about hematologic causes of neurologic disease and to continue collaborating closely with our hematology colleagues. It's a complex but very fascinating intersection for both of our fields. Dr Monteith: This is Dr Teshamae Monteith, associate editor of Continuum Audio. If you've enjoyed this episode, you'll love the journal, which is full of in depth and clinically relevant information important for neurology practitioners. Use this link in the episode notes to learn more and subscribe. AAN members, you can get CME for listening to this interview by completing the evaluation at continpub.com/AudioCME. Thank you for listening to Continuum Audio.

Le D.E.V. de la semaine est Simon Parisot, CEO et cofondateur de Blank. Simon a fait un pari, un peu fou, au début de l’aventure Blank : avoir un environnement 100% serverless ! Lambda, DynamoDB, S3, … il connait tous les services AWS, mais n’utilise pas une seule EC2 !! Il vient nous raconter comment il a construit cette plateforme, et surtout pourquoi ! Il nous explique aussi les changements que cela a sur le travail des dev (le dev en local est compllqué), les impératifs de qualité du code que cela implique et aussi comment le recrutement doit s’adapter à ce choix technique.Liens évoqués pendant l’émissionIFTTD avec Olivier Dupuis - Faites entrer le hackeurFramework serverless🎙️ Soutenez le podcast If This Then Dev ! 🎙️ Chaque contribution aide à maintenir et améliorer nos épisodes. Cliquez ici pour nous soutenir sur Tipeee 🙏Archives | Site | Boutique | TikTok | Discord | Twitter | LinkedIn | Instagram | Youtube | Twitch | Job Board |Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

Lambda lambda lambda e Viva New Vegas, nerds! Neste programa, retornamos ao mundo pós-apocalíptico de Fallout para falar da segunda temporada da série do Prime Video!  Enfrente novos perigos, aventuras e baratas voadoras gigantes com Alottoni, Katiucha Barcelos, Carlos Voltor e Marcela Versiani e lembre-se... O que acontece em Vegas vira conteúdo do Telecurso 2000! NERDCAST NO YOUTUBE! Acompanhe a publicação de novos programas no canal oficial do Jovem Nerd, e arquivo do NerdCast no canal oficial do podcast: https://youtube.com/@nerdcastjovemnerd?si=ITSiGd08IABGI8yL Oscar de Pijama 2026 Dia 15 de março, no YouTube do Jovem Nerd. Com Desce a Letra Show, Katiucha Barcelos e Max Valarezo: https://www.youtube.com/live/R6scb811NiA?si=ay_pmyNwVSdbJAfU Estante Virtual Use o cupom FACULDADE para garantir descontos em livros didáticos na volta às aulas: https://jovemnerd.short.gy/18D4d4 CITADO NO PROGRAMA Arte dos Fãs: Timelapse Elliot K. Lewis Livro Zooplâncton: A Vida Invisível na Água Doce Instagram: https://www.instagram.com/zoo.invisivel CONFIRA OS OUTROS CANAIS DO JOVEM NERD E-MAILS Mande suas críticas, elogios, sugestões e caneladas para nerdcast@jovemnerd.com.br APP JOVEM NERD: Google Play Store | Apple App Store ARTE DA VITRINE: Randall Random Baixe a versão Wallpaper da vitrine EDIÇÃO COMPLETA POR RADIOFOBIA PODCAST E MULTIMÍDIA Learn more about your ad choices. Visit megaphone.fm/adchoices

Lambda lambda lambda, nerds! No NerdCast de hoje, vamos reunir o time de ciências para atualizar o nosso papo sobre as mudanças climáticas no mundo.  Neste episódio, Alottoni recebe Tucano, André Souza e a dupla Emílio Garcia e Mila Massuda, do BlaBlaLogia, para debater os efeitos catastróficos dos eventos climáticos no mundo, e o que ainda podemos fazer para encarar esta difícil realidade. NERDCAST AGORA TAMBÉM NO YOUTUBE! Acompanhe a publicação de novos programas no canal oficial do Jovem Nerd, e arquivo do NerdCast no canal oficial do podcast: https://youtube.com/@nerdcastjovemnerd?si=ITSiGd08IABGI8yL Daki Use o cupom JOVEMNERD e tenha R$ 30 de desconto em pedidos acima de R$ 100 (válido para primeiro pedido, exceto bebidas alcoólicas): https://jovemnerd.short.gy/Daki_SPOT_NC3 Oscar de Pijama 2026 Dia 15 de março, no YouTube do Jovem Nerd: https://www.youtube.com/live/R6scb811NiA?si=ay_pmyNwVSdbJAfU CITADOS NO PROGRAMA Vaquinha do Pirulla: https://www.vakinha.com.br/vaquinha/pirulla Conheça o BlaBlaLogia: https://www.blablalogia.com/ CONFIRA OS OUTROS CANAIS DO JOVEM NERD E-MAILS Mande suas críticas, elogios, sugestões e caneladas para nerdcast@jovemnerd.com.br APP JOVEM NERD: Google Play Store | Apple App Store ARTE DA VITRINE: Randall Random Baixe a versão Wallpaper da vitrine EDIÇÃO COMPLETA POR RADIOFOBIA PODCAST E MULTIMÍDIA Learn more about your ad choices. Visit megaphone.fm/adchoices

Lambda lambda lambda, nerds! Depois de um nostálgico passeio pelos rios da memória em São Lourenço (como você certamente acompanhou na NerdTour), Alottoni e Azaghal partiram numa jornada mágica, mas também recheada de perrengues, para a CHINA!  Neste episódio, a dupla se junta a Leonel Caldela e Rafael Studart para comentar a passagem pelo grande país asiático, desde a busca frustrada por um futuro dominado por robôs, até os temidos pepinos escatológicos, afinal o que é uma boa viagem sem uma dose de aperto?! NERDCAST AGORA TAMBÉM NO YOUTUBE! Acompanhe a publicação de novos programas no canal oficial do Jovem Nerd, e arquivo do NerdCast no canal oficial do podcast: https://www.youtube.com/@NerdcastJovemNerd  Daki Use o cupom JOVEMNERD e tenha R$ 30 de desconto em pedidos acima de R$ 100 (exceto bebidas alcoólicas): https://jovemnerd.short.gy/Daki_Spot_NC6 Magalu Cloud Ouça o último episódio do Nerd na Cloud: https://jovemnerd.short.gy/Cloud_SPO_NC11 CONFIRA OS OUTROS CANAIS DO JOVEM NERD E-MAILS Mande suas críticas, elogios, sugestões e caneladas para nerdcast@jovemnerd.com.br APP JOVEM NERD: Google Play Store | Apple App Store ARTE DA VITRINE: Randall Random Baixe a versão Wallpaper da vitrine EDIÇÃO COMPLETA POR RADIOFOBIA PODCAST E MULTIMÍDIA Learn more about your ad choices. Visit megaphone.fm/adchoices

Notre ami le Gondwanais Lambda a un frère jumeau, pas très sympa : le Gondwanais Bêta.

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Lambda lambda lambda, nerds! Vocês pediram muito e cá estamos, TENTANDO encerrar nosso passeio nostálgico pelos filmes da década de 1990, desta vez COM Alexandre Ottoni do Jovem Nerd!  Neste episódio, Alottoni, Max Valarezo, Eduardo Spohr, Tucano, Marcelo Bassoli, Gaveta e Azaghal rebobinam o VHS para tempos mais simples de nossas vidas, com clássicos como O Show de Truman, O Resgate do Soldado Ryan, Godzilla (o ruim), num papo recheado de opiniões que, quando vocês soubessem, ficarão enojados (ou não...). A Própria Carne Alugue ou compre o filme nas plataformas digitais: https://linktr.ee/a_propria_carne Conheça a coleção APC, com livro, quadrinho e mais: http://apropriacarne.com.br/ Daki Use o cupom JOVEMNERD e tenha R$ 30 de desconto em pedidos acima de R$ 100: LuizaLabs Instagram LuizaLabs: https://jovemnerd.short.gy/Luiza_Labs_Spot_IG Blog do LuizaLabs: https://jovemnerd.short.gy/Maglu_LabsND4_blog Página de Carreiras: https://jovemnerd.short.gy/Maglu_LabsND4_Pc NERDCAST AGORA TAMBÉM NO YOUTUBE! Acompanhe a publicação de novos programas no canal oficial do Jovem Nerd, e arquivo do NerdCast no canal oficial do podcast: https://www.youtube.com/@NerdcastJovemNerd  CONFIRA OS OUTROS CANAIS DO JOVEM NERD E-MAILS Mande suas críticas, elogios, sugestões e caneladas para nerdcast@jovemnerd.com.br APP JOVEM NERD: Google Play Store | Apple App Store ARTE DA VITRINE: Randall Random Baixe a versão Wallpaper da vitrine EDIÇÃO COMPLETA POR RADIOFOBIA PODCAST E MULTIMÍDIA Learn more about your ad choices. Visit megaphone.fm/adchoices

Orion is a land of monsters. It’s packed with stars that are among the most impressive in the galaxy – they’re big, heavy, and bright. Even among all those superstars, though, Lambda Orionis stands out. It consists of two monster stars. The largest is about 35 times the mass of the Sun, and perhaps 200 thousand times brighter. Orion is home to so many major stars because it’s on the leading edge of a spiral arm – a zone where many new stars are being born. Lambda belongs to a cluster that’s one hotbed of starbirth. It contains many stars of all sizes and masses. Lambda’s main star is the brightest and heaviest in the cluster. The cluster is encircled by a ring of gas and dust – probably outlining the shockwave of a massive star that exploded as a supernova. Lambda’s radiation zaps the material in the ring, making it glow. Lambda is only a few million years old, yet its time is almost up. Because it’s so massive, it will live a very short life. Soon, it may explode as a supernova, with its core collapsing to form a black hole. On the other hand, it might be massive enough for the entire star to become a black hole, with no explosion at all – a monstrous ending for a monster star. Orion is in the east and southeast at nightfall. Bright orange Betelgeuse marks its left shoulder. Lambda is to the upper right. Despite its true brilliance, it looks fainter than many of the hunter’s other impressive stars. Script by Damond Benningfield

Lambda lambda lambda, Carol! Sentimos muito por, em todos esses anos, não oferecermos um NerdCast sobre Better Call Saul, mas cá estamos para tratar de PLURIBUS, a nova obra-prima do gênio Vince Gilligan!  Neste episódio, junte-se à mente coletiva de Azaghal, Carlos Voltor, Katiucha Barcelos, Tucano, Eduardo Spohr e Leonel Caldela para descobrir: afinal, sua vida é SÓ sua? Daki Use o cupom JOVEMNERD para ter R$ 30 de desconto em pedidos a partir de R$ 100 (válido apenas para o primeiro pedido): https://jovemnerd.short.gy/Daki_SPOT_ND4 LuizaLabs Instagram LuizaLabs: https://jovemnerd.short.gy/Maglu_LabsND4 Blog do LuizaLabs: https://jovemnerd.short.gy/Maglu_LabsND4_blog Página de Carreiras: https://jovemnerd.short.gy/Maglu_LabsND4_Pc Nvidia Comece 2026 com um belo upgrade no seu PC: https://bit.ly/4jJOshW A Própria Carne Compre ou alugue o filme de terror do Jovem Nerd com desconto nas principais plataformas: https://linktr.ee/a_propria_carne CONFIRA OS OUTROS CANAIS DO JOVEM NERD E-MAILS Mande suas críticas, elogios, sugestões e caneladas para nerdcast@jovemnerd.com.br APP JOVEM NERD: Google Play Store | Apple App Store ARTE DA VITRINE: Randall Random Baixe a versão Wallpaper da vitrine EDIÇÃO COMPLETA POR RADIOFOBIA PODCAST E MULTIMÍDIA Learn more about your ad choices. Visit megaphone.fm/adchoices

Sponsor Link:This episode of SpaceTime is brought to you with the support of Squarespace. When it's time to get a presence online, go with the folks who support us...and build the best websites easily. No hassles. You can check out their special offer for SpaceTime listeners by visiting our special URL....Click HereIn this episode of SpaceTime, we uncover new evidence suggesting that dark matter may interact with neutrinos, a revelation that could reshape our understanding of the universe. We also discuss a serious medical issue that has forced one of the crews aboard the International Space Station to return home early, and learn about the remarkable discovery that galaxies spin like clockwork.Dark Matter and Neutrinos: A Possible InteractionScientists are challenging the long-standing standard model of particle physics with new findings indicating that dark matter and neutrinos may interact. This groundbreaking research, reported in Nature Astronomy, provides a rare glimpse into the universe's hidden components. By analyzing data from both the early and late universe, researchers suggest that these elusive cosmic entities could influence the formation of galaxies and other structures, potentially addressing discrepancies observed in cosmological measurements.Medical Emergency Forces ISS Crew to Return EarlyNASA's SpaceX Crew 11 is returning to Earth ahead of schedule due to a medical concern involving one of the astronauts. While the situation is stable and not classified as an emergency, the decision was made to ensure the crew member receives comprehensive medical evaluation on the ground. This marks a historic moment, as it is the first time in 26 years of ISS operations that a medical issue has necessitated an early return.Galaxies Spin Like ClockworkRecent studies have confirmed that galaxies rotate approximately once every billion years, regardless of their size. This research, published in the Monthly Notices of the Royal Astronomical Society, reveals a consistent rotational pattern across different types of galaxies, enhancing our understanding of their mechanics and structure. The findings indicate that older stars exist even at the edges of galaxies, providing valuable insights into galactic formation and evolution.www.spacetimewithstuartgary.com✍️ Episode ReferencesNature AstronomyMonthly Notices of the Royal Astronomical SocietyBritish Medical JournalBecome a supporter of this podcast: https://www.spreaker.com/podcast/spacetime-your-guide-to-space-astronomy--2458531/support.

Lambda lambda lambda, nerds! Depois de quase 10 anos, é hora da despedida de Stranger Things! Neste NerdCast, Azaghal, Carlos Voltor, Marcelo Bassoli, Katiucha Barcelos e Tucano analisam a batalha final de Eleven e a turminha de Hawkins contra Vecna e as forças do Mundo Invertido. O que foi bom, o que foi ruim e, claro, até o tal episódio secreto (que ainda vem aí?!). Tudo isso sem a participação do atrasado Alexandre Ottoni, mas por um excelente (e fofo) motivo... Magalu Confira as ofertas da Liquidação Fantástica: https://jovemnerd.short.gy/Magalu_LF_Spot_NC E-MAILS Mande suas críticas, elogios, sugestões e caneladas para nerdcast@jovemnerd.com.br APP JOVEM NERD: Google Play Store | Apple App Store ARTE DA VITRINE: Randall Random Baixe a versão Wallpaper da vitrine EDIÇÃO COMPLETA POR RADIOFOBIA PODCAST E MULTIMÍDIA CONFIRA OS OUTROS CANAIS DO JOVEM NERD Learn more about your ad choices. Visit megaphone.fm/adchoices

Lambda lambda lambda, nerds! Hoje é dia de falar DELE, o rei da Batalha dos Crossovers, o MAIORAL, nosso querido LOBO! Com o personagem prestes a ganhar a telona com o filme da Supergirl, em 2026, Alottoni, Carlos Voltor, Rex e Azaghal passeiam por toda a trajetória rock n' roll (e galhofa!) do anti-herói que nos conquistou com as histórias mais absurdas e maneiras dos quadrinhos! A Própria Carne Já disponível para compra e aluguel digital: https://jovemnerd.short.gy/SPOT_APC_NC NerdTour São Lourenço / China / NerdOffice CCXP25 Assista no canal do Jovem Nerd no YouTube: https://www.youtube.com/jovemnerd Petrobras Fortnite Energy Cars: https://jovemnerd.short.gy/Petrobras_Ogilvy_Spot_NC4 Intel Processador Intel Core Ultra, com IA integrada: https://jovemnerd.short.gy/Intel_NT_SPOT_1 / https://jovemnerd.short.gy/Intel_NT_SPOT_2 Daki Use o cupom JOVEMNERD e garanta R$ 30 de desconto em pedidos acima de R$ 100: https://jovemnerd.short.gy/Daki_SPOT_NC2 CONFIRA OS OUTROS CANAIS DO JOVEM NERD E-MAILS Mande suas críticas, elogios, sugestões e caneladas para nerdcast@jovemnerd.com.br APP JOVEM NERD: Google Play Store | Apple App Store ARTE DA VITRINE: Randall Random Baixe a versão Wallpaper da vitrine EDIÇÃO COMPLETA POR RADIOFOBIA PODCAST E MULTIMÍDIA Learn more about your ad choices. Visit megaphone.fm/adchoices

Lambda lambda lambda, nerds! Não é truque da Força, você REALMENTE está ouvindo um NerdCast sobre Star Wars no ano da graça de 2025! No episódio de hoje, Alottoni, Carlos Voltor, Katiucha Barcelos e Marcelo Bassoli (sim, sem Azaghal…) debatem o legado de quase 50 ANOS da franquia que ama nos maltratar, mas que também é a fagulha de toda uma paixão pelo universo nerd estabelecida ao longo de GERAÇÕES. Seja você um véi paia saudosista original, um millennial criado pelas prequels, ou um novo fã trazido pelo reboot da Disney (eles existem?!), viaje conosco em mais um papo muito, muito emocionante, rumo à galáxia muito, muito distante! Oppo Conheça o Oppo Reno 14F Edição Limitada Dark Side: https://jovemnerd.short.gy/OPPO_TEMATICO_ST_NC_CCXP Daki Conheça o Daki e use o cupom JOVEMNERD para R$ 30 de desconto em compras a partir de R$ 100: https://jovemnerd.short.gy/Daki_SPOT_NC1 Petrobras Conheça 13 filmes brasileiros patrocinados pela Petrobras: https://jovemnerd.short.gy/Petrobras_Ogilvy_SPOT_NC3 CONFIRA OS OUTROS CANAIS DO JOVEM NERD E-MAILS Mande suas críticas, elogios, sugestões e caneladas para nerdcast@jovemnerd.com.br APP JOVEM NERD: Google Play Store | Apple App Store ARTE DA VITRINE: Randall Random Baixe a versão Wallpaper da vitrine EDIÇÃO COMPLETA POR RADIOFOBIA PODCAST E MULTIMÍDIA Learn more about your ad choices. Visit megaphone.fm/adchoices

Lambda, lambda, lambda, nerds! No NerdCast de hoje, vamos falar sobre o fenômeno O Agente Secreto, filme de Kleber Mendonça Filho estrelado por Wagner Moura, que é a esperança de MAIS UM OSCAR PARA O BRASIL! No programa, Alexandre Ottoni, Carlos Voltor, Pedro Siqueira, Katiucha Barcelos, Ian SBF e Azaghal viajam ao Recife da década de 1970 para discutir a trama cheia de mistérios, intrigas e pirraça. Entenda quem, afinal, é o agente secreto do filme, apaixone-se pela doçura de Dona Sebastiana e ajude-nos a entender: afinal, raparigou ou não?! Jovem Nerd - Zerando a Vida (Jambô Editora) Compre a biografia oficial do JN e confira as sessões de autógrafos: https://jovemnerd.short.gy/Livro_JN_Jambô_Spot_NC Leapmotor Assista à NerdTour de São Lourenço com Leapmotor: https://jovemnerd.short.gy/Leapmotor_NerdTour_NerdCast Magalu Cloud Ouça o último Nerd na Cloud: https://jovemnerd.short.gy/Nerd_na_Cloud_20_NerdCast Conheça o Magalu Cloud: https://jovemnerd.short.gy/Magalu_Cloud_Nerdcast Governo de São Paulo Conheça os programas de educação do estado: https://jovemnerd.short.gy/Governo_SP_BEEM_NerdCast CONFIRA OS OUTROS CANAIS DO JOVEM NERD E-MAILS Mande suas críticas, elogios, sugestões e caneladas para nerdcast@jovemnerd.com.br APP JOVEM NERD: Google Play Store | Apple App Store ARTE DA VITRINE: Randall Random Baixe a versão Wallpaper da vitrine EDIÇÃO COMPLETA POR RADIOFOBIA PODCAST E MULTIMÍDIA Learn more about your ad choices. Visit megaphone.fm/adchoices