Podcasts about Sol

After months of Bitcoin dominance and sideways chop, the altcoin market is finally showing signs of life. Will look into why projects like ADA, SOL and Link are on the rise. Is this a "relief bounce," or are we entering the legendary Altseason of 2026?

Some coaching stories are about wins.Some are about rebuilding.This one is about truth, belief, and resilience when the system fails you.Sol Stephens' journey spans classrooms, weight rooms, locker rooms, and boardrooms — from a second-grade teacher who changed his life, to building successful college programs, to having that program cut while doing everything right.This is not a bitter conversation.It's a grown one.In this episode, Sol shares:

Edomex alista operativo en TeotihuacánRecuperan 739 piezas de joyería robadas en CDMXRusia envía a Irán 13 toneladas de medicamentosMás información en nuestro Podcast

¿Se imaginan si los Premios Teve Guía o Vea hubieran existido en los 90? ¿Quiénes hubieran sido los nominados como Power Couple? Alexis y Sol se sentaron en este Charlando Cosas a nominar a sus parejas favoritas de los 90. Déjanos saber en los comments si estás de acuerdo con su selección o si está peor que la de los Premios Influencers este año. Te leemos...

Bitcoin rallies above $73K as geopolitical tensions ease and risk assets rebound, with altcoins like ETH, SOL, and DOGE posting stronger gains amid positive macro signals. Regulatory actions target prediction markets and CBDCs, while institutional products (BlackRock ETH ETF, Mastercard program) advance adoption. Enforcement hits illicit networks, and markets show broad upside—watch for continued oil/Treasury developments and Fed cues.Sources:https://decrypt.co (BTC weekly high, CFTC prediction markets, Aave trader loss, Europol freeze, Paraguay rules)https://www.coindesk.com (BTC outperformance, BlackRock ETH ETF, XRP breakout, SEC tokenized securities, Senate CBDC ban)https://cointelegraph.com (BTC funding negative, JPMorgan lawsuit, Mastercard program, BoE stablecoin input)https://coinmarketcap.com & https://www.coingecko.com (prices, market cap, movers, dominance) Hosted on Acast. See acast.com/privacy for more information.

Buckle up Funkaholiks!!! We have a hot one for you, Arianna had to draw her inner Jessica Carr to break this one up!!! Ding, ding as the guys get into a heated discussion on who is the bigger draw right now......Punk or Roman??? You help us decide, it was a divided house tonight with a lot of passion for what we love and who we love!!! For the first time in a long time Arianna tip toes the stupid idiot button during our favorite segment You Just Made the List!!! See how she digs herself out, Nando T does his best to get Hater Mike to listen and Jonathan Pebbles Johnson brings his A game. It's an all out bash at the TFP Studio!!!! CHEERS!!!JERKING THE CURTAINROUND TABLE OF TOPICSNEWSRoad Dogg has left Smackdown, is this bad news for the show? Becky asking Danhausen to curse Jessica Carr is good for business Drew getting called up to the movies, apparently leaving WWE???Triple A coming to the US in April Prayers and good vibes for Konnan WWE calls off fight between LP and Leveon Bell “You Just Made the List” Top 5 wrestling ring attire SMACKDOWN Randy kicks off the show, nothing special Dr. Wagner Jr answers the call for the open challenge Aldis ain't playing with Drew anymore We can't even get a cheers for the new tag champs I'm just as fed up with Sami……Cody's face says it all FINALLY MCMG!!! Why does WWE continue to shit on real tag teams???Rhea and Jade didn't give the needle any gas Cody is your new champion…..why take it off Drew after 2 months of nothing??? RAWThe hardest working man in WWE kicks off the show The Seth shuffle was stupid funny but bad for business Was Logan Paul wearing a wire???IC gauntlet matches thoughts…..Bayley is the #1 contender Can we get Ivy Nile vs Grace ASAP!!!Did Danhausen drop an Easter egg???Penta is a million times better with the IC title over Dirty Dom Stephanie cooks different right now…..La Primera is all business, feed me MORE I'm not ready for this Judgement Day break up Punk is fire and how in the hell does WWE figure out how to keep the Bloodline pulse beating???NXT/TNADo we get a new champ tonight?The team called it, Sol interfered Tony D and Dion Lewis put on a banger of a match and Tatum is your new North American Champ…..gotta say Tatum killed it in the match…..only highlights worth talking from Vengeance Day William Regal and Fit Finley make an appearance TNA is giving us a free PPV (GENESIS) 3/18Ricky Sosa is TNA bound 10 count with Arianna Check out the Smackdown Siblings on TikTok  @ariannaandthomasEpisodes dropping weekly!!!Follow us on TikTok @the.funkaholiks.pod THEE POD THAT TALKS WHAT THEY LOVE 

Quinn Huges, Kirill Kaprizov and John Hynes join the postgame show @KFAN1003 following a SOL to Philly

Solía pensar que solo existían ciertas temporadas de espera en Dios, pero ahora creo que todo el tiempo estoy esperando en Dios. Este episodio hace parte de la serie devocional "En la sala de espera de Dios", un mensaje de The Christian Working Woman en Español. Si quieres más consejos para tu vida laboral, escúchanos en vivo, de lunes a viernes a las 5:30 a.m. y a las 11:00 a.m. por supresenciaradio.com.

Solía pensar que solo existían ciertas temporadas de espera en Dios, pero ahora creo que todo el tiempo estoy esperando en Dios.Este episodio hace parte de la serie devocional "En la sala de espera de Dios", un mensaje de The Christian Working Woman en Español.Si quieres más consejos para tu vida laboral, escúchanos en vivo, de lunes a viernes a las 5:30 a.m. y a las 11:00 a.m. por supresenciaradio.com.

Defesa Civil - Nesta segunda-feira, dia 16/03/2026, o dia será marcado pelo Sol entre algumas nuvens em todo o Estado de São Paulo by Governo do Estado de São Paulo

A young British lifeguard travels to Spain and finds himself in mortal danger. In 1967, 28-year-old Guy Taplin arrives on the Costa del Sol seeking a fresh start. At first the days slip by in a happy haze. But when a fellow beachgoer gets caught in a riptide, Guy jumps in to help. Swept out to sea, his own chances of reaching safety are suddenly slim. And his strength is running out… A Noiser podcast production. Hosted by John Hopkins. Written by Heléna Lewis | Produced by Ed Baranski | Assistant Producer: Luke Lonergan | Exec produced by Joel Duddell | Sound Supervisor: Tom Pink | Sound design by Matt Peaty | Assembly edit by Rob Plummer | Compositions by Oliver Baines, Dorry Macaulay, Tom Pink | Mix & mastering: Ralph Tittley. Go to https://surfshark.com/survival or use code SURVIVAL at checkout to get 4 extra months of SurfsharkVPN! For ad-free listening, bonus material and early access to new episodes, join Noiser+. Click the subscription banner at the top of the feed to get started. Or go to noiser.com/subscriptions If you have an amazing survival story of your own that you'd like to put forward for the show, let us know. Drop us an email at support@noiser.com Learn more about your ad choices. Visit podcastchoices.com/adchoices

In this episode of "Gathering Ground," Mary speaks with Sharon Bush, President of Grand Victoria Foundation, and Sol Anderson, President and CEO of Evanston Community Foundation, about how philanthropy can move closer to the communities it seeks to serve. Drawing from their distinct place-based work across Illinois and in Evanston, they discuss trust-based grantmaking, community-led decision making, and the responsibilities funders hold in advancing racial justice.Sharon and Sol reflect on how foundations can support grassroots leadership, sustain commitments to equity in a shifting political climate, and rethink traditional funding models. Their conversation highlights the importance of proximity, trust, and collaboration in building philanthropic practices that strengthen communities and support lasting change.Episode Highlights:- Sharon Bush on pioneering trust-based philanthropy and sustaining racial justice commitments across Illinois- Sol Anderson on community-led grantmaking and the importance of proximity to power- A look inside two foundations rethinking how resources flow to grassroots leaders- Why rest, renewal, and imagination matter for movement leaders and funders alike

Raoul Pal sits down with Martin DeVido, creator of Sol the Tomato, who built a system allowing the AI model Claude to autonomously grow and care for a tomato plant using sensors, cameras, and automated controls. Raoul and Martin dig into machine intelligence, emotional behavior in AI, and how AI agents could reshape everything from agriculture to crypto-driven capital formation. Recorded on March 3, 2026. And don't forget to check out The Arena, our new trade idea league. Get in on the action and you could be eligible for prices totaling $25,000. To learn more and join visit realvision.com/arena. Today's episode is brought to you by Abra. Abra provides custody, trading, yield and BTC-backed loan products for digital assets for HNW and corporate clients. Abra provides full service treasury management for digital asset treasuries and corporations. Buy and hold digital assets in segregated accounts with multi-sig security. Visit https://www.realvision.com/abra to learn more. Today's Episode if brought to you by Figure Markets. Need liquidity without selling your crypto? Take out a Figure Crypto-Backed Loan , allowing you to borrow against your BTC, ETH, or SOL with 12-month terms, 8.91% interest rates, and no prepayment penalties. Or check out Democratized Prime and earn ~9% APY on RWAs. Unlock your crypto's potential today at Figure and claim your $50! https://figuremarkets.co/realvision Disclosures Figure Lending LLC dba Figure. Equal Opportunity Lender. NMLS 1717824. Terms and conditions apply. Learn more about your ad choices. Visit podcastchoices.com/adchoices

1.  El Dr. Jesús Delgado Burgos une el arte y la palabra en su nuevaexposición y presentación de libro, hoy en Galería Guatíbiri en Río Piedras2.  Guerra abierta de TRS contra Francisco Domenech. Presidente del Senadodice que el secretario de la gobernación entorpece solicitud de informaciónsobre contratos de Antonio Sagardía3.  Amnistía para multas de tránsito NO entrará en vigor hoy. La Junta lepidió un documento a la AAFAF para certificar el impacto económico de lamedida.4.  Ambulancias privadas dominan respuestas a emergencias, pero paramédicoslevantan banderas5.  Organizaciones denuncian que medida que facilitaría la privatización deplayas en Puerto Rico. Convocan a ciudadanía a participar en vistas públicas enel Senado el 24 de marzo  6.  Altos precios de la gasolina provocan ajustes, pero no frenan el consumo7.  Abre nueva función de  7 veces 7en el nuevo teatro de Agua, Sol y Sereno8.  Casa Aboy presenta hoy 4 Directoras, 4 miradas, en conmemoración del mesde la mujer9.  La primera semana de la guerra contra Irán costó a Estados Unidos más de11 mil 300 millones de dólares, ($11.3 billion dollars) 10.               32 países acuerdan lamayor liberación de reservas de petróleo de la historia11.               Un hacker extranjerohabría violado los servidores del FBI en NYC que contenían archivos de Epsteinen 2023.  Este es un programa independiente y sindicalizado. Esto significa que este programa se produce de manera independiente, pero se transmite de manera sindicalizada, o sea, por las emisoras y cadenas de radio que son más fuertes en sus respectivas regiones. También se transmite por sus plataformas digitales, aplicaciones para dispositivos móviles y redes sociales.  Estas emisoras de radio son:1.     Cadena WIAC - WYAC 930 AM Cabo Rojo- Mayagüez2.     Cadena WIAC – WISA 1390 AM Isabela3.     Cadena WIAC – WIAC 740 AM Área norte y zona metropolitana4.     WLRP 1460 AM Radio Raíces La voz del Pepino en San Sebastián5.     X61 – 610 AM en Patillas6.     X61 – 94.3 FM Patillas y todo el sureste7.     WPAB 550 AM - Ponce8.     ECO 93.1 FM – En todo Puerto Rico9.     WOQI 1020 AM – Radio Casa Pueblo desde Adjuntas 10. Mundo Latino PR.com, la emisora web de música tropical y comentario Una vez sale del aire, el programa queda grabado y está disponible en las plataformas de podcasts tales como Spotify, Soundcloud, Apple Podcasts, Google Podcasts y otras plataformas https://anchor.fm/sandrarodriguezcotto También nos pueden seguir en:REDES SOCIALES:  Facebook, X (Twitter), Instagram, Threads, LinkedIn, Tumblr, TikTok BLOG:  En Blanco y Negro con Sandra http://enblancoynegromedia.blogspot.com  SUSCRIPCIÓN: Substack, plataforma de suscripción de prensa independientehttps://substack.com/@sandrarodriguezcotto OTROS MEDIOS DIGITALES: ¡Ey! Boricua, Revista Seguros. Revista Crónicas y otrosEstas son algunas de las noticias que tenemos hoy En Blanco y Negro con Sandra. 

Tillman Holloway is the Founder & CEO of Arch Public. In this conversation, we discuss the rise of AI-driven investing and how autonomous agents could reshape portfolio management. We also cover Bitcoin market catalysts, investor behavior during volatility, and how institutions are positioning across crypto and emerging financial products.=======================Join Arch Public this Thursday @ 2pm Et for an exclusive webinar with Anthony, where we will share professional strategies for optimizing your portfolio to outperform current bear market conditions. This session is designed to provide actionable insights into risk management and long-term wealth preservation. Resister here to secure your spot: https://us06web.zoom.us/webinar/register/WN_DVHBA2Z3QgS5X0l203-78A=======================Need liquidity without selling your crypto? Take out a Figure Crypto-Backed Loan (https://figuremarkets.co/pomp), allowing you to borrow against your BTC, ETH, or SOL with 12-month terms, 8.91% interest rates, and no prepayment penalties. Or check out Democratized Prime (https://figuremarkets.co/pomp) and earn ~8.5% APY on real world assets, paid hourly. Unlock your crypto's potential today at Figure! https://figuremarkets.co/pomp =======================Simple Mining makes Bitcoin mining simple and accessible for everyone. We offer a premium white glove hosting service, helping you maximize the profitability of Bitcoin mining. For more information on Simple Mining or to get started mining Bitcoin, visit https://www.simplemining.io/pomp=======================Arch Public is an agentic trading platform that automates the buying and selling of your preferred crypto strategies. Sign up today at https://www.archpublic.com and start your automated trading strategy for free. No catch. No hidden fees. Just smarter trading.=======================0:00 - Intro1:03 - Is AI disruption crashing markets?3:28 - What should AI actually automate in business?6:43 - How investors are navigating volatility11:43 - “Agentic investing” — letting AI manage your money16:46 - Hedge funds, algorithms & high-frequency trading21:41 - Crypto derivatives, perps & new financial instruments23:18 - How Arch Public works & consumer investing trends29:45 - What catalyst sends bitcoin back to all-time highs?34:33 - Institutional adoption & Wall Street conviction

 Heavy hitters like Larry Fink and Paul Atkins have said that tokenization is the future, but acquiring and managing tokenized assets can be a tall order for the average retail investor. Today's company is working to change that, with a unique strategy that provides value far beyond market exposure. Marco Santori is the Chief Executive Officer of Solmate, which trades under the symbol SLMT. Solmate is an institutional infrastructure company accelerating Solana's growth, and giving investors exposure to Solana's native token, SOL. Marco is a treasury company pioneer, launching the very first Altcoin treasury on Nasdaq, and he was a partner at Pantera Capital where he helped to structure some of the industry's best performing treasuries. Marco was also the Chief Legal Officer at Kraken, one of the world's largest digital asset exchanges, served as the President of Blockchain.com, and he was a partner at the law firm Cooley, where he led the firm's global fintech team. Today, Marco joins us to explain how Solmate's infrastructure flywheel creates value, what makes Solana unique among blockchains, and how the emergence of digitized capital markets will impact the world of finance.Highlights:Blockchain basics (2:22)What is Solana? (4:27)What sets Solmate apart (7:28)Infrastructure flywheel (11:08)Digital capital markets (13:31)Why the UAE? (15:42)Institutional readiness and blockchains (19:30)How will blockchains change finance? (21:17)Innovations in the works (24:53)Solmate's investment thesis (27:19) Links: Marco LinkedInSolmate LinkedInSolmate WebsiteICR LinkedInICR TwitterICR Website Feedback:If you have questions about the show, or have a topic in mind you'd like discussed in future episodes, email our producer, joe@lowerstreet.co

En este episodio, conversé con Sol Aguirre, autora y creadora de “Las Claves de Sol”, sobre la reinvención: cómo atravesar cambios vitales y profesionales sin perdernos, transformar el miedo en movimiento y rediseñar nuestra identidad desde el propósito. Hablamos de señales de que es momento de reinventarte, creencias que frenan, y herramientas prácticas para dar pasos pequeños pero consistentes, poner límites y sostener el proceso con claridad y valentía. ¡No te lo pierdas! Learn more about your ad choices. Visit megaphone.fm/adchoices

Heriberto Murrieta, Ciro Procuna y Chelís Sánchez Solá analizan los temas más destacados de la jornada en el amplio mundo del deporte, al estilo de ESPN Radio Fórmula. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Joshua Sum is the Chief Product Officer at Solayer, a hardware accelerated network built to move money at the speed of metal. Joshua joins Andy Pickering to explain how dedicated chip-level infrastructure is pushing blockchain throughput into territory no software-only chain can reach — and why that matters as payments, AI agents, and real-world asset tokenization all converge on the same rails. Why you should listen Joshua's path to crypto ran through direct-to-consumer e-commerce, a founding quant role at Treehouse, and building CollegeDow into the largest university blockchain network in the world, spanning around 120 campuses globally. He joined Solayer as a founding engineer and has grown with the company over two years into his current role leading product across multiple lines. He walks through how Solayer evolved from pioneering restaking on Solana — using it as a tool to improve transaction reliability and throughput — into building a full hardware accelerated Layer 1 that uses the Solana Virtual Machine but separates consensus across dedicated machines connected by low-latency, high-bandwidth equipment. The result is battle-tested performance of 200,000 to 300,000 transactions per second using messy, real-world transaction types, not the synthetic benchmarks that get loosely thrown around in the space. The conversation covers Solayer's $35 million ecosystem fund and why the team deliberately avoided a grants model in favour of a venture approach, investing in founders building sustainable, revenue-generating businesses rather than handing out free money for narrative-driven experiments. Joshua walks through three early-stage portfolio projects: Docs Exchange, a full-suite DeFi trading platform; BuffTrade, an AI agent launchpad where bots trade on your behalf and back their tokens with actual strategy performance; and SpoutFi, which tokenizes equities and lets users borrow against them the way high-net-worth individuals already do — without selling, and without triggering a tax event. Each use case maps directly back to the throughput thesis: more agents, more users, more overlapping state means you need a chain that can actually handle the load. Joshua also breaks down Solayer's consumer-facing push through Solayer Pay, which includes a mobile app, rotating private addresses for peer-to-peer transfers, and the Emerald crypto card with built-in travel rewards and partner airdrops. He explains why the chain will launch with SOL as its gas token — removing the onboarding friction that kills adoption on new L1s — before introducing a dual-token model with LAYER as the ecosystem matures. The episode closes with Joshua's take on the current market: tough conditions are positive for the long term because they flush out narrative-driven projects and reward teams building real products with real revenue, which is exactly where Solayer wants to be. Supporting links Stabull Finance Solayer Solayer Explorer Solayer Docs Andy on X Brave New Coin on X Brave New Coin If you enjoyed the show please subscribe to the Crypto Conversation and give us a 5-star rating and a positive review in whatever podcast app you are using.

Garbeo por la puerta ibérica que comienza picoteando en el volumen 4 de la colección Guateque Taboo, disco recopilatorio dedicado a las catacumbas del rocknroll que encontrarás junto al último número de la revista-fanzine Palmeras y Puros.Playlist;(sintonía) THE FUZZIYAMA SURFERS “Nagahama” (Guateque Taboo Vol.4)PIKE CAVALERO and DELTA “Cada vez que escucho ese dulce saxofón” (Guateque Taboo Vol.4)CLOACA “Directo al nicho” (Guateque Taboo Vol.4)LOS ALTRAGOS “Necios y engreídos” (Guateque Taboo Vol.4)JABATO “El vagabundo” (Guateque Taboo Vol.4)LOS BLUFFS “Simple man” (Guateque Taboo Vol.4)MUTAGÉNICOS “Soy así” (Guateque Taboo Vol.4)LOS BINGUEROS feat LOS TURBIOS “No entiendo nada” (Guateque Taboo Vol.4)ESTROGENUINAS “La vieja escuela” (Un negocio redondo, 2026)LAS PETUNIAS “Agota la suerte” (Ahí te pudras, maldita, 2025)TIBURONA “Pensando en ti” (Nos extinguimos, 2024)LA PERRA BLANCO “La furia” (Lovers and fears, 2026)THE BLACK CHILLIES “Exotica” (El grito, 2026)GO CACTUS “La ropa ancha” (Vidas modelo, 2026)THE WAVES “Summer breeze” (Summer of sunshine, 2026)JOSE LANOT “Después de quemarlo todo” (Después de quemarlo todo, 2025)091 “Antes de que salga el Sol” (Espejismo nº9, 2026)Escuchar audio

Chegou o Corre Pace aqui pra mim, o ultratenis da Olympiku; Maratona de Xangai passou no primeiro processo de aprovação para se tornar major; Meia-Maratona do Sol virou patrimônio cultural imaterial do Rio Grande do Norte e mais sobre a Meia-Maratona do Recife.Inscreva-se na Maratona Internacional de João Pessoa usando o cupom CORRIDANOAR para ter 10% de desconto - https://www.maratonainternacionaldejoaopessoa.com/Nossos links - https://linktr.ee/corridanoarO Corrida no Ar News é produzido diariamente e postado por volta das 6 da manhã.

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

En un contexto de debilitamiento institucional, de avances autoritarios y regresiones democráticas, conmemorar el Día Internacional de la Mujer, plantea no solo un obligado homenaje a las ancestras que tantas luchas han librado, sino también un ejercicio de memoria colectiva para renovar los propósitos de defensa de los derechos de las féminas. Por esos derechos a una vida digna conversamos con las activistas Vivián Solís y Paola Valverde.

Escucha el podcast del programa Camino al Sol a través de Estación 97.7, en Santo Domingo, República Dominicana correspondiente al martes 10-marzo-2026.

Capítulo titulado Sol y Tinieblas

É possível transformar a viagem em uma experiência filosófica? Mesmo quando o objetivo é apenas descansar e quebrar a rotina? Neste novo episódio, vamos entender que viajar é uma grande oportunidade de viver a virtude da investigação e de viver profundamente novas experiências. Uma jornada interna, uma oportunidade de ampliar horizontes, investigar culturas, comparar épocas e conhecer diferentes formas de viver e enxergar o mundo. Desenvolver o "olhar de viajante" é resgatar a curiosidade e o encantamento de uma criança, tornando extraordinários até os momentos mais simples e isso deve ser aplicado à nossa vida cotidiana. Para isso, é necessário cultivar abertura interior, criar momentos de silêncio e manter uma disposição sincera para aprender. Viajar não apenas fisicamente, mas também de forma simbólica por meio de livros, conversas e reflexões e permitir que as experiências de outras pessoas se tornem fonte de crescimento. Dessa forma passamos a viver com mais consciência, profundidade e sentido, levando esses aprendizados para todas as áreas da nossa vida. Participantes: Emerson Queiroz, Felixsandra Alves e Pedro Guimarães Trilha Sonora: Schubert – Impromptus, D. 899 (Op. 90) nº 3 em Sol bemol maior, Andante      

Interview with Allen Sabet, CEO of Mogotes Metals Inc.Our previous interview: https://www.cruxinvestor.com/posts/mogotes-metals-tsxvmog-26m-treasury-funds-drilling-in-one-of-worlds-largest-copper-discoveries-7941Recording date: 4th March 2026Mogotes Metals entered 2026 as an exploration company ready to drill. After three years and approximately C$25 million spent building geochemical, geophysical, and geological datasets across its Filo Sur project in Argentina's Vicuña district, the company now has three rigs operating along the same structural corridor that hosts Filo del Sol — the deposit that its joint venture owners describe as the largest copper discovery in 30 years.The drilling programme targets 6,000–8,000 metres this austral summer season across multiple ranked and permitted targets, with approximately 3,000 metres already completed. The season budget is approximately C$20 million, funded from a C$55 million treasury. That treasury was built with the participation of two strategically significant investors: CD Capital, a London-based fund that previously made approximately 15 times its money investing in Filo del Sol, and the Braun family of Argentina, a family office with direct regional knowledge. CD Capital's Carmel Daniele has joined the Mogotes board — the same role she held at Filo del Sol.The geological case rests on the north-south structural belt that connects Filo del Sol, Altar, Valeriano, and now Filo Sur. Mogotes holds the full strike projection of Filo del Sol's known mineralisation. The geophysical programme identified multiple high-chargeability, low-resistivity anomalies consistent with the subsurface signatures that defined the early drilling success at Filo del Sol and Valeriano. These are the targets now being drilled. CEO Alan Sabet has been measured in framing expectations — proximity to a tier-one discovery does not guarantee replication — but the technical approach mirrors the methodology that worked at comparable deposits across the Andes.The company's second announcement at PDAC 2026 was the option agreement on a copper-gold asset in Kazakhstan. The asset hosts an historic resource of approximately six million gold-equivalent ounces, with mineralisation beginning at approximately 40 metres depth and remaining open at depth and laterally. Drilling costs run at approximately US$80 per metre — a fraction of typical Andean costs — and the permitting environment supports a mining licence application within six months.For Mogotes, the strategic logic is clear. Filo Sur is a seasonal operation confined to the austral summer. Kazakhstan can be drilled year-round and provides continuous news flow during the months when Andean operations are dormant. It also provides a second value creation pathway: integrating existing unincorporated drilling data into a new resource estimate, step-out and depth drilling, and testing a separate porphyry target with potential high-grade gold.For investors, the near-term calendar is defined. Filo Sur drill results are expected in May and June 2026, representing the first direct geological test of the project's multi-year dataset. Kazakhstan work will begin in parallel, providing additional news flow through the second half of the year. The company enters this period with a well-funded treasury, institutional validation from directly comparable capital, and a disciplined deployment plan that preserves follow-up capacity regardless of what the first drill holes return.View Mogotes Metals' company profile: https://www.cruxinvestor.com/companies/mogotes-metalsSign up for Crux Investor: https://cruxinvestor.com

The Exponential age is here and accelerating, bringing developments humanity is simply not ready for. In a special crossover episode of the Journey Man and The Exponentialist, Raoul Pal sits down with David Mattin, founder of New World Same Humans and technology lead at Global Macro Investor, for a deep dive into the world of AI, tech, crypto, evolution, consciousness and why humans have a thing or two to learn from sharks and crocodiles.If you find this type of conversation stimulating, now is the best time to join the Exponentialist, an independent service co-founded by Raoul and David that helps you position for the Economic Singularity. AI and Big Tech are reshaping markets, the economy, and the world as you know it. You can't stop it — but you can prepare, and profit. Through March 9, get 15% OFF a 6-month membership or 25% OFF 12 months. Everything you need to understand the shift and supercharge your trading. Sign up at realvision.com/exponentialist Need liquidity without selling your crypto? Take out a Figure Crypto-Backed Loan , allowing you to borrow against your BTC, ETH, or SOL with 12-month terms, 8.91% interest rates, and no prepayment penalties. Or check out Democratized Prime and earn ~9% APY on RWAs. Unlock your crypto's potential today at Figure! https://figuremarkets.co/realvision Abra provides custody, trading, yield and BTC-backed loan products for digital assets for HNW and corporate clients. Abra provides full service treasury management for digital asset treasuries and corporations. Buy and hold digital assets in segregated accounts with multi-sig security. Visit https://www.realvision.com/abra to learn more.  Learn more about your ad choices. Visit podcastchoices.com/adchoices

TEMPO DE REFLETIR 01698 – 9 de março de 2026 I Samuel 24:19 – Quando um homem encontra um inimigo e o deixa ir sem fazer-lhe mal? O Senhor o recompense com o bem, pelo modo como você me tratou hoje. Davi havia acabado de poupar a vida de Saul. O rei Saul, louco de ciúmes, perseguia o jovem general com três mil homens escolhidos a dedo. O rei perseguiu Davi até En-gedi, região desértica localizada acima do Mar Morto, onde os famosos pergaminhos foram encontrados. O rei entrou em uma caverna para aliviar o ventre, totalmente inconsciente de que ao fundo se escondiam Davi e seus homens. “Essa é a nossa chance!”, sussurraram para Davi. “Deus entregou Saul em nossas mãos!” Davi, porém, resistiu à tentação de aniquilar o rei a sangue-frio. Em vez disso, se aproximou discretamente dele e cortou um pedaço de seu manto. Depois que o rei deixou a caverna, Davi saiu e gritou para ele. Com o pedaço do manto nas mãos, contou ao rei que havia poupado sua vida. Saul ficou chocado: todo o seu ser estava focado em eliminar a pessoa que via como seu maior rival. Se Davi tivesse caído em suas mãos, o resultado seria rápido e mortal. Saul considerava Davi seu inimigo, mas Davi não considerava Saul da mesma forma, mesmo que Saul estivesse tentando matá-lo a todo custo. Davi demonstrou o espírito de Jesus, que disse: “Amem os seus inimigos e orem por aqueles que vos perseguem para que vocês venham a ser filhos de seu Pai que está nos Céus” (Mt 5:44, 45). E foi exatamente isso que Jesus fez. “Quando insultado, não revidava; quando sofria, não fazia ameaças, mas entregava-Se àquele que julga com justiça” (1Pe 2:23). Deus não tem inimigos, e tampouco devemos nós ter. Não importa o que os outros pensem, digam ou façam contra nós, eles ainda são filhos e filhas de Deus – nossos irmãos e irmãs, pessoas amadas por Deus e por quem Cristo morreu. Apenas a graça pode causar essa mudança em nossas atitudes, e assim o fará, se permitirmos que o Espírito de Deus nos transforme à semelhança de Jesus. Muitas pessoas levam a vida olhando constantemente por cima dos ombros para ver quem está tentando lhes fazer mal. Gastam horas de energia negativa imaginando conspirações, intrigas e situações ruins. Deus está nos chamando para uma vida melhor. Deixemos de lado as sombras da dúvida e da suspeita e recebamos a luz do Sol. Caminhemos hoje no espírito de Jesus, em graça e com amor a todas as pessoas. Reflita sobre isso no dia de hoje e ore comigo agora: Grande Deus e Pai, toma conta de nossa vida e ajuda-nos a vivermos em harmonia, graça e amor com todas as pessoas. Sabemos que esta é a Tua vontade. E pedimos em nome de Jesus, amém! Saiba como receber as mensagens diárias do Tempo de Refletir: -> No celular, instale o aplicativo MANAH. -> Para ver/ouvir no YouTube, inscreva-se neste Canal: youtube.com/AmiltonMenezes7 -> Tenha os nossos aplicativos em seu celular: https://www.wgospel.com/aplicativos -> Para receber pelo WhatsApp, adicione 41 99893-2056 e mande um recadinho pedindo os áudios. -> Participe do nosso canal no TELEGRAM: TELEGRAM AMILTON MENEZES . -> Participe do nosso canal no WhatsApp: WHATSAPP CHANNEL Amilton Menezes . -> Instagram: https://www.instagram.com/amiltonmenezes7/ -> Threads: https://www.threads.net/@amiltonmenezes7 -> X (Antigo Twitter): https://x.com/AmiltonMenezes -> Facebook: facebook.com/AmiltonMenezes

C dans l'air l'invitée du 7 mars 2026 avec Solène Chalvon-Fioriti, grand reporter, réalisatrice du documentaire « Le pays taliban », réalisée avec Marianne Getti et diffusé ce dimanche 8 mars à 21h05 sur France 5.Avec la prise de Kaboul le15 août 2021 les talibans ont acté leur retour au pouvoir en Afghanistan. Le quotidien des citoyens du pays est depuis bouleversé, et particulièrement celui des femmes, qui font face à n'immombrables interdits les privant de leur liberté. Ce régime fondamentaliste est largement coupé du monde et asphyxié économiquement, sous l'effet des sanctions notamment. Solène Chalvon-Fioriti et Marianne Getti sont allées à quatre reprises en Afghanistan et donnent à voir une réalité complexe où, si la guerre a disparu du paysage, la persécution des opposants fait rage. Et si la charia s'impose, certains dénoncent une déformation de leur religion.

durée : 00:14:11 - Ciaconas en ré mineur et en sol mineur BWV 1178 et 1179 - Vous aimez ce podcast ? Pour écouter tous les autres épisodes sans limite, rendez-vous sur Radio France.

Nico Sturm with Joe O'Donnell plus Nick Foligno and John Hynes with the media following a SOL as heard @KFAN1003 

Jordi Visser is a veteran macro investor with 30+ years of experience and the author of the VisserLabs Substack. In this conversation, we unpack the chaos hitting markets in 2026—from weak jobs data and Fed uncertainty to private credit cracks, AI-driven disruption, and the collapse of old economic playbooks. We also discuss software repricing, energy infrastructure, synthetic media, portfolio positioning, and why Jordi believes bitcoin is the truest AI trade in a world moving faster than ever.======================Need liquidity without selling your crypto? Take out a Figure Crypto-Backed Loan (https://figuremarkets.co/pomp), allowing you to borrow against your BTC, ETH, or SOL with 12-month terms, 8.91% interest rates, and no prepayment penalties. Or check out Democratized Prime (https://figuremarkets.onelink.me/Plnq/pompdp) and earn ~8.5% APY on real world assets, paid hourly. Unlock your crypto's potential today at Figure! https://figuremarkets.co/pomp. Disclosures: Figure Lending LLC dba Figure. Equal Opportunity Lender. NMLS 1717824. Terms and conditions apply.======================This podcast is sponsored by Abra.com. Abra is the secure way to access crypto and crypto based yield and loan products through a separately managed account structure.Learn more at http://www.abra.com.======================Bitget (https://bitget.com/promotion/futures-tradfi?channelCode=regd&vipCode=nkew) is the world's largest Universal Exchange (UEX) (https://bitget.com/promotion/futures-tradfi?channelCode=regd&vipCode=nkew), serving over 125 million users with access to over 2M+ crypto tokens, and TradFi markets such as 100+ tokenized stocks, ETFs, commodities, FX and precious metal like Gold. At launch, users can trade 79 instruments with USDT directly with the App. Users can also enjoy high liquidity and low slippage, while trading these assets with up to 500x leverage. For more information on Bitget TradFi, visit this article (https://bitget.com/support/articles/12560603846859). For more information, visit: Website (https://bitget.com/) | Twitter (https://x.com/bitget) | Telegram (https://t.me/BitgetENOfficial) | LinkedIn (https://linkedin.com/company/bitget-global/) | Discord (https://discord.com/invite/bitget)For media inquiries, please contact: media@bitget.com======================Arch Public is an agentic trading platform that automates the buying and selling of your preferred crypto strategies. Sign up today at https://www.archpublic.com and start your automated trading strategy for free. No catch. No hidden fees. Just smarter trading.======================0:00 - Intro0:53 - The current state of the U.S. economy5:18 - Does the jobs report force the Fed to cut rates?8:28 - How do the Iran, Venezuela, & Cuba situations end?14:00 - Is the speed of military & government action changing?19:12 - What is happening in private credit right now?25:04 - Should investors run toward distressed private credit or avoid it?28:47 What happens to a traditional 60/40 portfolio over the next decade?32:27 -  Is Jordi still bullish on energy infrastructure & power demand?35:37 - What Jordi's AI setup looks like43:13- How will AI-generated content & synthetic media change content creation?49:50 - When will society normalize humans working alongside AI assistants?52:20 - Is Jordi nervous or excited for rest of 2026?

El olivo es un símbolo de la cultura mediterránea. Los productos de este árbol, cultivado desde hace miles de años, son fundamentales en nuestra dieta. Además, ofrece leña para el fuego, forraje para el ganado, madera de alta calidad y las hojas tienen elementos curativos. Como el resto de las especies, no es ajena a los grandes desafíos globales como el cambio climático, la pérdida de biodiversidad y la aparición de nuevas plagas y enfermedades. Para asegurar su futuro, un lote de semillas de olivo ha sido depositado por primera vez en la cúpula del fin del mundo, en la isla noruega de Svalbard. Hemos hablado con Juan Antonio Polo, jefe del Departamento de Tecnología del Aceite de Oliva y Medio Ambiente del Consejo Oleícola Internacional.Como les venimos contando en el programa, España va a asistir a un trío de eclipses de Sol muy poco frecuente: dos eclipses totales, el 12 de agosto de 2026 y el 2 de agosto de 2027, y un eclipse anular en enero de 2028. La astrónoma Montse Villar nos ha hablado de estos fenómenos celestes. Xiomara Cantera (prensa del MNCN/CSIC) y Juan David González Trujillo, exinvestigador del MNCN y ahora profesor de la Universidad Nacional de Colombia, nos han contado un estudio que revela el impacto de calentamiento crónico de nuestros océanos en el descenso de las poblaciones de peces. La Confederación de Sociedades Científicas de España (COSCE) ha presentado el “Análisis de la financiación pública de la I+D+i: Presupuestos Generales del Estado (PG-46) y financiación europea”. Hemos hablado con Ana Fernández-Zubieta, autora de este informe, que advierte del fin de las ayudas europeas del Mecanismo de Recuperación y Resiliencia y de la falta de Presupuestos Generales del Estado. Hemos informado del estudio de la Fundación BBVA sobre actitudes de los españoles hacia la Inteligencia Artificial en España. La mayoría de los encuestados considera que mejorará la sociedad, aunque predomina una opinión negativa acerca de sus efectos en la privacidad, las relaciones personales, la veracidad de la información, la salud mental, las campañas electorales y el empleo. Escuchar audio

Topics NXT/TNA (1:40) [Steve Maclin gets rehired by TNA. NXT Go-Home show for Vengeance Day. Sol returns the favor on Zaria]  NXT Vengeance Day Predictions (21:00) AEW (26:27) [Kevin Knight gets a World Title shot. Don Callis Family gets more gold. More matches made for AEW Revolution.] WWE Main Roster (48:19) [Fallout from Elimination Chamber. WrestleMania feuds are starting to build. Penta wins the IC Title. And More.] National Suicide Prevention line: 1-800-273-8255 Twitter: @My2Podcast Instagram: my2centspodcastg2 Business email: my2centspod@yahoo.com

A transdisciplinary array of authors offering a new frame of reference for autotheory and its genre-bending synthesis of autobiography and critical theory. Autotheories (MIT Press, 2025) tells the story of a field in formation. Building on traditions that have long fused life writing, philosophical encounter, embodied theorizing, and cultural critique, autotheory constructs new practices of critical theory. Transgressing generic boundaries and bridging stylistic registers, it crafts language that is intimate, analytic, playful, and insurgent. Editors Alex Brostoff and Vilashini Cooppan underscore autotheory's multiple genealogies and genre-bending forms while situating it within the contemporary political field. In this collection, autotheory emerges as a strut (of style), a straddle (of disciplines), a proliferation (of selves), an axis (of identifications), an index (of attachments), and an archive (of loves).An assemblage and an experience, Autotheories surveys the field's iterations and permutations without settling for classification or bowing to ossification.Contributors:Alex Brostoff, Jessica Bush, Judith Butler, Vilashini Cooppan, Carla Freccero, rl Goldberg, Jan Grue, Emma Lieber, Megan Moodie, Lili Owen Rowlands, John Patterson, Paul B. Preciado, Erica Richardson, Migueltzinta C. Solís, Jamieson Webster, Damon Ross Young, Stacey Young, Arianne ZwartjesMatthis Frickhoeffer is a scholar of critical theory and French thought with a background in literature studies, linguistics and art theory. His work focuses on questions of form, semiotics, and intertextuality. He teaches at the University of Texas at Dallas. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network

durée : 00:59:12 - Cultures Monde - par : Julie Gacon, Mélanie Chalandon - Comme chaque vendredi, une émission d'actualité en deux parties : retour de terrain avec Solène Chalvon-Fioriti qui revient d'Afghanistan, puis table ronde sur la guerre au Liban et l'avenir du Hezbollah libanais. - réalisation : Vivian Lecuivre - invités : Solène Chalvon-Fioriti Journaliste indépendante; Agnès Levallois Présidente de l'iReMMO (Institut de Recherche et d'études Méditerranée Moyen-Orient), chargée de cours à Science-Po Paris; Anthony Samrani Co-rédacteur en chef de l'Orient le jour

durée : 00:23:57 - Cultures Monde - par : Julie Gacon, Mélanie Chalandon - Cinq ans après le retour au pouvoir des talibans en Afghanistan, des milliers de décrets ont bouleversé la vie des Afghans, et surtout des Afghanes. Partout dans le pays, des femmes, mais aussi des hommes, tentent de préserver de très fragiles espaces de liberté au sein de la loi talibane. - réalisation : Vivian Lecuivre - invités : Solène Chalvon-Fioriti Journaliste indépendante

Des histoires de dots ont bouleversé l'histoire de vies bien sûr mais même aussi de pays, quand tel ou tel dirigeant avait absolument besoin d'argent pour leur guerre. Mais dans cet épisode 116 nous revenons sur les femmes elles mêmes et le rôle de leur dot dans leurs vies au Moyen Âge. Nous partons de nouveau en Italie comme il y a 2 épisodes lorsqu'on avait parlé de la prostitution avec Ambre Mana'ch ou comme lorsqu'on avait parlé de l'injure avec Chloé Tardivel il y a plus longtemps. Mais on laisse Bologne pour aller un peu plus au nord, juste à côté de Venise, pour plonger dans la ville de Padoue. J'ai le plaisir de recevoir Solène Minier qui a soutenu fin 2025 une thèse à Sorbonne Université sous la direction d'Élisabeth Crouzet-Pavan et en co-tutelle avec l'université de Padoue avec Isabelle Chabot. Sa thèse s'intitulait “La cité des femmes. Genre, circulation des richesses et corps politique dans l'Italie de la fin du Moyen Âge (Padoue, 1340-1450)”. Solène Minier travaille sur les ressources économiques féminines dans l'Italie de la fin du Moyen Âge et sur les différentes sources de patrimoine auxquelles les femmes avaient accès et leurs modes de gestion et d'articulation de ces capitaux. Dans l'épisode, nous nous concentrons sur le fonctionnement de la dot au Moyen Âge et ses différents rôles au cours des vies des femmes, à travers plein d'exemples concrets tirées des archives de Padoue.  Les conseils de podcasts : - Les fictions sonores de François TJP https://liens.studiotjp.com/@FrancoisTJP - Dans ton rade : https://podcast.ausha.co/dans-ton-rade - Coeur coeur coeur https://podcast.ausha.co/coeur-coeur-coeur - Edition Illimitée https://podcast.ausha.co/edition-illimitee ▪ Infos sur le podcast Créé et produit par Fanny Cohen Moreau depuis 2017. ➡ Plus d'infos sur cet épisode > passionmedievistes.fr/ep-116-solene-dot-moyen-age ➡ Soutenir le podcast > passionmedievistes.fr/soutenir/ ➡ Les évènements à venir > passionmedievistes.fr/a-propos/evenements/ Retrouvez le podcast sur les réseaux sociaux : ➡ Instagram > instagram.com/passionmedievistes/ ➡ Facebook > facebook.com/PassionMedievistes ➡ BlueSky > bsky.app/profile/passionmedievistes.bsky.social ➡ Youtube > www.youtube.com/@passionmedievistespodcast ➡ Tiktok (c'est nouveau !) > www.tiktok.com/@passionmedievistes Préparation, enregistrement, et mixage : Fanny Cohen Moreau Montage : Baptiste Mossiere Générique : Moustaclem / Clément Nouguier Illustration : Garance Petit Si vous avez lu jusqu'à la fin de cette description, envoyez moi un message avec des noms de podcasts que vous écoutez, par le moyen de communication que vous préférez !

A transdisciplinary array of authors offering a new frame of reference for autotheory and its genre-bending synthesis of autobiography and critical theory. Autotheories (MIT Press, 2025) tells the story of a field in formation. Building on traditions that have long fused life writing, philosophical encounter, embodied theorizing, and cultural critique, autotheory constructs new practices of critical theory. Transgressing generic boundaries and bridging stylistic registers, it crafts language that is intimate, analytic, playful, and insurgent. Editors Alex Brostoff and Vilashini Cooppan underscore autotheory's multiple genealogies and genre-bending forms while situating it within the contemporary political field. In this collection, autotheory emerges as a strut (of style), a straddle (of disciplines), a proliferation (of selves), an axis (of identifications), an index (of attachments), and an archive (of loves).An assemblage and an experience, Autotheories surveys the field's iterations and permutations without settling for classification or bowing to ossification.Contributors:Alex Brostoff, Jessica Bush, Judith Butler, Vilashini Cooppan, Carla Freccero, rl Goldberg, Jan Grue, Emma Lieber, Megan Moodie, Lili Owen Rowlands, John Patterson, Paul B. Preciado, Erica Richardson, Migueltzinta C. Solís, Jamieson Webster, Damon Ross Young, Stacey Young, Arianne ZwartjesMatthis Frickhoeffer is a scholar of critical theory and French thought with a background in literature studies, linguistics and art theory. His work focuses on questions of form, semiotics, and intertextuality. He teaches at the University of Texas at Dallas. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/critical-theory

A transdisciplinary array of authors offering a new frame of reference for autotheory and its genre-bending synthesis of autobiography and critical theory. Autotheories (MIT Press, 2025) tells the story of a field in formation. Building on traditions that have long fused life writing, philosophical encounter, embodied theorizing, and cultural critique, autotheory constructs new practices of critical theory. Transgressing generic boundaries and bridging stylistic registers, it crafts language that is intimate, analytic, playful, and insurgent. Editors Alex Brostoff and Vilashini Cooppan underscore autotheory's multiple genealogies and genre-bending forms while situating it within the contemporary political field. In this collection, autotheory emerges as a strut (of style), a straddle (of disciplines), a proliferation (of selves), an axis (of identifications), an index (of attachments), and an archive (of loves).An assemblage and an experience, Autotheories surveys the field's iterations and permutations without settling for classification or bowing to ossification.Contributors:Alex Brostoff, Jessica Bush, Judith Butler, Vilashini Cooppan, Carla Freccero, rl Goldberg, Jan Grue, Emma Lieber, Megan Moodie, Lili Owen Rowlands, John Patterson, Paul B. Preciado, Erica Richardson, Migueltzinta C. Solís, Jamieson Webster, Damon Ross Young, Stacey Young, Arianne ZwartjesMatthis Frickhoeffer is a scholar of critical theory and French thought with a background in literature studies, linguistics and art theory. His work focuses on questions of form, semiotics, and intertextuality. He teaches at the University of Texas at Dallas. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/language

Escucha el podcast del programa Camino al Sol a través de Estación 97.7, en Santo Domingo, República Dominicana correspondiente al viernes 06-marzo-2026.

Fluent Fiction - Spanish: Machu Picchu's Hidden Path: A Journey Beyond History Find the full episode transcript, vocabulary words, and more:fluentfiction.com/es/episode/2026-03-06-08-38-20-es Story Transcript:Es: El amanecer en Machu Picchu tenía una promesa de magia.En: The dawn at Machu Picchu held a promise of magic.Es: Lucía, una joven historiadora, había escuchado historias de su abuelo sobre la majestuosidad de este lugar.En: Lucía, a young historian, had heard stories from her grandfather about the majesty of this place.Es: Él soñaba con ver el sol desde la Puerta del Sol, pero nunca pudo hacerlo.En: He dreamed of seeing the sun from the Puerta del Sol, but he was never able to do it.Es: Ahora, en el pleno verano del hemisferio sur, Lucía estaba allí para cumplir ese sueño y sentir la conexión de la que tanto hablaba su abuelo.En: Now, in the height of the southern hemisphere's summer, Lucía was there to fulfill that dream and feel the connection her grandfather spoke about so much.Es: Lucía caminaba con entusiasmo.En: Lucía walked with enthusiasm.Es: Sus amigos, Andrés y Santiago, la acompañaban.En: Her friends, Andrés and Santiago, accompanied her.Es: Ellos eran sus compañeros de viaje, aventureros y curiosos por naturaleza.En: They were her travel companions, adventurous and curious by nature.Es: Mientas subían, el aire se volvía más fresco y las nubes cubrían algunos picos.En: As they climbed, the air became cooler and clouds covered some peaks.Es: Aunque el camino era duro, la emoción de Lucía la mantenía firme.En: Although the path was tough, Lucía's excitement kept her determined.Es: Ella quería honrar la memoria de su abuelo.En: She wanted to honor her grandfather's memory.Es: Pero no todo era sencillo.En: But not everything was simple.Es: Nada más comenzar el trayecto, encontraron un grupo de turistas.En: Soon after starting the trek, they encountered a group of tourists.Es: "Esto se llenará aún más", murmuró Lucía.En: "This will get even more crowded," murmured Lucía.Es: La multitud avanzaba y ella se sintió un poco perdida en su propósito.En: The crowd moved forward, and she felt a bit lost in her purpose.Es: Sin embargo, lo peor llegó cuando, de repente, un deslizamiento de tierra bloqueó la ruta clásica del Camino Inca.En: However, the worst came when, suddenly, a landslide blocked the classic Inca Trail route.Es: El camino estaba cerrado.En: The path was closed.Es: Lucía sintió un momento de desesperanza.En: Lucía felt a moment of despair.Es: Sus dudas sobre lo místico y lo invisible resurgieron.En: Her doubts about the mystical and the invisible resurfaced.Es: ¿Estaba todo destinado a fracasar?En: Was everything destined to fail?Es: Pero entonces, un habitante local, un hombre de sonrisa serena y sabiduría en sus ojos, les sugirió otro camino.En: But then, a local resident, a man with a serene smile and wisdom in his eyes, suggested another path.Es: "Hay una ruta menos conocida", dijo, "y puede ofrecerles una experiencia única".En: "There's a lesser-known route," he said, "and it can offer you a unique experience."Es: Después de consultarlo con Andrés y Santiago, Lucía decidió seguir el consejo.En: After discussing it with Andrés and Santiago, Lucía decided to follow the advice.Es: Con cada paso, intentaba abrir su mente y su corazón a lo que no podía ver.En: With each step, she tried to open her mind and heart to what she couldn't see.Es: La ruta fue dura, pero el paisaje era inolvidable.En: The route was tough, but the scenery was unforgettable.Es: Los sonidos de la naturaleza, combinados con sus pensamientos sobre su abuelo, despejaban sus dudas poco a poco.En: The sounds of nature, combined with her thoughts about her grandfather, gradually cleared her doubts.Es: Finalmente, al llegar a la Puerta del Sol, justo cuando los primeros rayos del sol asomaban, el tiempo pareció detenerse.En: Finally, upon reaching the Puerta del Sol, just as the first rays of the sun appeared, time seemed to stand still.Es: La luz iluminó las ruinas de Machu Picchu ante ellos, y Lucía sintió un calor inexplicable rodearla.En: The light illuminated the ruins of Machu Picchu before them, and Lucía felt an inexplicable warmth surround her.Es: Aquel instante fue profundo, casi como si su abuelo estuviera a su lado.En: That moment was profound, almost as if her grandfather was by her side.Es: De pie, mirando ese espectáculo asombroso, Lucía comprendió que la historia no es solo hechos y fechas, sino emociones y conexiones invisibles.En: Standing there, looking at that astonishing spectacle, Lucía understood that history is not just facts and dates, but emotions and invisible connections.Es: Las lágrimas recorrieron sus mejillas, no de tristeza, sino de gratitud.En: Tears rolled down her cheeks, not from sadness, but from gratitude.Es: A medida que el sol continuó su ascenso, Lucía se sintió diferente.En: As the sun continued to rise, Lucía felt different.Es: Se dio cuenta de que había más en la vida de lo que uno puede racionalizar.En: She realized that there was more to life than what one can rationalize.Es: Se permitió sentir, se dejó llevar por lo intangible.En: She allowed herself to feel, to be carried away by the intangible.Es: Ahora sabía que el legado de su abuelo vivía en ella, no solo en sus hechos, sino en sus emociones.En: Now she knew that her grandfather's legacy lived within her, not only in his deeds but also in her emotions.Es: Al regresar, Lucía miró a Andrés y Santiago con una sonrisa renovada.En: On the way back, Lucía looked at Andrés and Santiago with a renewed smile.Es: Había muchas historias para contar, cada una llena de nueva magia y comprensión.En: There were many stories to tell, each filled with new magic and understanding.Es: Machu Picchu había revelado no solo el pasado antiguo del mundo, sino también el profundo legado emocional de su familia.En: Machu Picchu had revealed not only the ancient past of the world but also the deep emotional legacy of her family. Vocabulary Words:the dawn: el amanecerthe majesty: la majestuosidadthe connection: la conexiónthe historian: la historiadorathe enthusiasm: el entusiasmothe companions: los compañerosthe nature: la naturalezathe peaks: los picosthe excitement: la emociónthe path: el caminothe memory: la memoriathe despair: la desesperanzathe wisdom: la sabiduríathe landslide: el deslizamiento de tierrathe route: la rutathe advice: el consejothe scenery: el paisajethe doubts: las dudasthe sounds: los sonidosthe warmth: el calorthe spectacle: el espectáculothe gratitude: la gratitudthe emotions: las emocionesthe legacy: el legadothe deeds: los hechosthe invisible: lo invisiblethe thoughts: los pensamientosthe ruins: las ruinasthe rays: los rayosthe ascent: el ascenso

Mix Name: DJ More9 – Reggaeton Clasico Mix February 2026 Website: https://www.iamlmp.com/ Join Our Discord: https://discord.com/invite/iamlmp Join Us DJs New Remixes & Blends: https://www.iamlmp.com/recordpool Instagram: https://www.instagram.com/iamlmp/ DJ Instagram: https://www.instagram.com/iamdjmore9 Download our DJ Music App Daily Mixes: https://linktr.ee/iamlmp —— 01. Pa Que Retocen – tego Calderon 02. Guatauba – Plan B 03. Sol, Playa, Arena – Tito El Bambino 04. Seinte El Boom – Tito el Bambino & Randy 05. Pam Pam – Wisin y Yandel 06. Ven Bailalo – Angel y Khriz 07. Suena el bajo – Don Omar & Daddy Yankee 08. Bellaqueo – Plan B 09. Latigazo – Jowell y Randy 10. Cae la noche – Luny Tunes, Noriega & Hector y Tito 11. Sacala – Hector y Tito #reggaetonmix #iamlmp #reggaeton

http://triunfacontulibro.com/Hay libros que nacen del deseo de posicionarse. Y hay libros que nacen de una necesidad. El libro de Francisco Leal nace de una sensación muy concreta: “No me da tiempo a explicar todo lo que podría ayudar a mis pacientes.” Médico de familia primero, anestesiólogo después y especialista en dolor, llevaba años acumulando carpetas con recomendaciones, protocolos, estudios y reflexiones que compartía en consulta. Hasta que entendió algo importante: todo ese conocimiento debía convertirse en un libro. Pero esta entrevista no es solo sobre dolor. Es también una lección para cualquier profesional que esté pensando en escribir. Porque aquí vemos el proceso completo: Cómo ordenar años de experiencia clínica. Cómo transformar explicaciones complejas en lenguaje sencillo. Cómo usar storytelling en un libro técnico. Cómo equilibrar rigor científico y cercanía. Y cómo vivir el proceso editorial sin perder la paciencia. Y luego está el tema central: el dolor. Durante la conversación abordamos cuestiones que afectan a millones de personas: ¿Por qué hay dolores que persisten sin daño estructural? ¿Qué ocurre en el cerebro cuando el dolor se cronifica? ¿Se puede “desaprender” el dolor? ¿Por qué ciertos perfiles de personalidad tienen más riesgo? ¿Qué papel juegan el estrés, el sueño y el estilo de vida? También hablamos de algo que hoy está en boca de muchos, pero pocas veces explicado desde la consulta real: Ritmo circadiano. Luz azul. Sol. Energía celular. Suplementos como la creatina o la melatonina. Y el delicado equilibrio entre medicina y hábitos. Lo interesante es que nada se plantea desde el extremo. Ni todo es psicológico. Ni todo es químico. Ni todo se soluciona con una pastilla. Hay una mirada integradora que combina ciencia, experiencia clínica y sentido común. Y, como siempre, aparece algo que a veces olvidamos cuando hablamos de libros: el impacto humano. Francisco cuenta lo que sintió al ver su libro publicado. Las reseñas inesperadas. Los antiguos compañeros que reaparecen. Los pacientes que llevan el libro para que se lo firme. Cuando escribes desde el servicio, el retorno no es solo económico. Si eres profesional de la salud, esta entrevista te dará ideas para estructurar tu conocimiento. Si eres autor o quieres serlo, verás cómo una trayectoria puede convertirse en un libro útil y bien construido. Y si simplemente te interesa entender mejor el dolor (propio o ajeno), vas a escuchar conceptos que quizá cambien tu perspectiva. No te cuento más. Escucha la entrevista completa y descubre cómo un médico convirtió su consulta en un libro… y por qué eso puede inspirarte a hacer lo mismo.  

En el dia del SOL nueva temporada

durée : 00:12:00 - Fantaisie en sol majeur BWV 572 - Vous aimez ce podcast ? Pour écouter tous les autres épisodes sans limite, rendez-vous sur Radio France.

En este Charlando Cosas, Alexis y Sol se sentaron a recordar los programas infantiles con los que crecimos en Puerto Rico: desde Titi Chagua y Pacheco, hasta Burbujita y Atención Atención. ¿Qué pasó con la programación infantil? ¿Por qué los padres de los 90 acabaron con ella? ¡Dale play pa' que te enteres!

En este episodio de Café en Mano, nos sentamos nuevamente con la Lcda. Valerie Rodríguez Erazo, ex Secretaria del DACO, en su primera gran entrevista tras su sorpresiva salida de la agencia.Hablamos sin filtros sobre qué ha pasado en su vida tras dejar el puesto de confianza, si tiene aspiraciones políticas en el futuro, y las frustraciones reales de intentar hacer cambios desde adentro: "En el gobierno no hay métricas".Valerie también nos explica, en arroz y habichuelas, en qué quedó el pleito legal contra LUMA Energy (el cual ella inició) y por qué las recientes demandas de cancelación del contrato de LUMA por parte del gobierno están usando la misma ruta legal que a ella no le quisieron apoyar. Además, discutimos su experiencia litigando el controversial caso de Sol y Playa en Rincón, la burocracia paralizante de los permisos de construcción, y por qué Puerto Rico necesita urgentemente abrazar la palabra "desarrollo" para resolver la crisis de vivienda y evitar que la isla se siga vaciando.☕ Este episodio es traído a ustedes por Fus Telecom, internet sin preocupaciones.Sigue a Valerie Rodríguez Erazo:Instagram: @valeriemrodzTikTok: @valeriemrodz00:00 - Intro: El regreso de Valerie y la reacción del pueblo tras su salida de DACO05:35 - Rompiendo monopolios y la necesidad de educar al consumidor boricua07:50 - ¿Viene para la política? Su verdadera motivación09:20 - "El gobierno corre por gravedad": La cruda realidad y la falta de métricas11:20 - El legado en DACO: Redes sociales, transparencia y el Promoter Fee13:20 - La historia real detrás de la demanda contra LUMA: "Lo llevé a pulmón"19:21 - Apagones y comercios: ¿Se puede reclamar el inventario perdido?20:50 - La cancelación del contrato de LUMA explicada en arroz y habichuelas23:15 - Los casos de permisos (Ley 161) y la especialidad de su oficina legal24:20 - La verdad del caso Sol y Playa en Rincón: "Lo hicieron todo mal"28:30 - "Apreté muchos botones": Amistades, presiones y el Promoter Fee32:17 - Facility Fees y el juego de Messi en PR: ¿Qué pasa si no viene?36:00 - El IVU al 11.5%, la inflación y la lucha contra la Junta de Control Fiscal39:08 - Crisis de vivienda: Construcción informal, herencias y la burocracia43:00 - ¿Por qué la palabra "Desarrollo" asusta tanto en Puerto Rico?47:33 - El futuro de PR: Retener población y crear nuevos nichos económicos49:30 - Construyendo una casa con $30,000 y cierre¡No olvides suscribirte, darle like y dejarnos en los comentarios qué te pareció la entrevista!

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