Podcasts about Luma

The Boys, c'est fini ! En plus des débriefs dispo sur ce flux, retrouvez une édition spéciale : les The Boys Awards.Meilleur perso, meilleure vanne, meilleure bagarre... Avec Luma, spécialiste ès Eric Kripke et fan numéro 1 de Soldier Boy, on distribue les trophées histoire de dire adieu à la série.Bonne écoute et merci de votre soutien !Plus de Mymy HaegelDans la vie, je suis créatrice de contenu indépendante sur Internet ; vous pouvez me rejoindre sur Twitch, sur Instagram, sur Threads et sur Patreon. Je parle de féminisme et d'émotions, de jeux vidéo et de séries télé, de recettes de cuisine et de champignons, de bienveillance et de sel. Pour recevoir mes podcasts en avance et sans pub, abonnez-vous sur Patreon ! Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

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durée : 00:01:29 - Les 80'' - par : Marion L'Hour - 80 secondes pour vous inviter à naviguer et même à vous perdre entre abstraction et réalité. Grace l'artiste allemand Gerhard Richter à qui la fondation Luma consacre une exposition. Vous aimez ce podcast ? Pour écouter tous les épisodes sans limite, rendez-vous sur Radio France

PODCAST LAS NOTICIAS CON CALLE DE 5 DE JUNIO - Zelensky pide negociaciones directas entre Ucrania y Rusia por actuales lineas de batalla dando a entender que percibe que está ganando la guerra - Economist Anthropic vuelve a pedir detente de inteligencia artificial tras lograr sucesores hagan su propio submodelo - SemaforNSA Susa Mythos aunque está en lista prohibida - Axios Las reservas de petróleo de EEUU cayeron a su nivel más bajo desde 2004 y Goldman advierte que el diésel podría bajar a 20 días de suministro para agostoHezbollah rechaza pacto de cese al fuego con Israel y Líbano - Economist Menos personas sin hogar en PR - El Vocero Senador Dalmau pide investigar examen de peritos electricistas, Colegio dice que quieren suspenderlo - El Vocero Circuito cuestiona si LUMA tiene legitimación sobre Stay de PROMESA en la AEE, bonistas piden levantar el stay para que paguemos la deuda - El Vocero Educación todavía no ha pagado a centros de educación especial aunque se prometió a hacerlo - El Vocero DACO disque pendiente a los aumentos de precios de la comida y alimentos expirados - El Vocero 4 jinetes boricuas en el Belmont Stakes Space X se queda fuera del S&P por no cumplir con requisitos - Reuters Jueza permite que Digimedia enmiende demanda contra Hacienda, mientras Hacienda se opuso - El Nuevo Día Demandaron a Trump por quitarle fondos a FEMA para energía renovable a entidades, hoy hay vista en Boston - El Nuevo Día Jefe de incentivos dice que se tenían que ir en entrevista con Tax NotesProyecto plantea que AEELA sea voluntario, pero lo derrotaron - El Nuevo Día La Junta dice que sí a reforma de permisos de la gobernadora - El Nuevo Día EEUU sanciona a Díaz-Canel y la cúpula cubana; Visa, Mastercard y Meliá se van - Semafor Fuera de control la basura en Cuba - El Nuevo Día Congreso aprueba ayuda a Ucrania desafiando a Trump con votos republicanos - WSJ#universalinsurance #incluyeauspicio LOS DATOS DEL DÍA Brent$96.50/barril (−1%) WTI$92.86/barril (−0.2%) Diésel mayorista EEUU~$3.45/galón (inventarios en mínimo desde 2003) S&P 500~7,590 (futuros −0.4%, racha en riesgo) Dow49,445 (+0.6%) Bono 10Y del Tesoro4.47% Euro/USD~1.07 Gas natural$3.30/MMBtu (máximo en 4 meses) Tasa hipotecaria 30Y~7.20%NotiCel publicó hoy que el salario mínimo de PR sigue bajo el nivel federal de pobreza.La Fed TIENE que subir tasas por el petróleoLa defensa de Anthonieska presentó una moción urgente alegando que declaraciones juradas confidenciales del sumario fiscal se filtraron y se manejaron frente a cámaras en un programa de redes sociales, lo que para ellos viola los derechos de su representada, y pidieron que el Inspector General investigue quién dentro del Estado las filtró. Aparte, anunciaron que irán por tercera vez al Tribunal Supremo insistiendo en que ella no está en condiciones mentales para ser procesada, algo que ya le negaron dos veces. Y mientras todo eso queda en suspenso, el reloj corre: el término de los 120 días vence el 7 de julio y el juicio está pautado para el 23 de junio, pero esa fecha está en veremos. - Bárbara Figueroa 

La controversia en el Departamento de Desarrollo Económico y Comercio continúa escalando luego de que otro exfuncionario afirmara que las alegadas intervenciones de La Fortaleza fueron más allá de la OGPe. Mientras tanto, LUMA acudió de emergencia al Tribunal de Apelaciones en Boston para intentar evitar que el pleito sobre su contrato regrese a los tribunales de Puerto Rico.En medio de estas controversias, el alcalde de Bayamón, Ramón Luis Rivera, aseguró que Jenniffer González es una figura políticamente sólida y que es reelegible. Sin embargo, las renuncias, las denuncias de interferencia política y los conflictos con LUMA continúan alimentando preguntas sobre el funcionamiento interno de la administración.¿Quién está tomando realmente las decisiones dentro del gobierno de Puerto Rico?#ElResaltadorDeLaRealidad #PuertoRico #JennifferGonzalez #FranciscoDomenech #DDEC #LUMA #PoliticaPR #PNP #NoticiasPR #GobiernoPR #SebastianNegron #LaFortaleza #AnalisisPolitico #ActualidadPR #PuertoRicoNews

PODCAST LAS NOTICIAS CON CALLE DE 4 DE JUNIO - Jefe de seguridad nacional dice que evalúan fraude en sistema de energía de PR - El Nuevo Día Cambiar minoridad a 18 años vuelve a estar en portada - El VoceroSi tienes un billete de 2 puede que tengas mucho, pero mucho dinero - Primera Hora Estados advierten que requisitos de trabajar par Medicaid trae serios problemas - Axios  Alarma con la carne, llega el parásito come carne a vacas de Estados Unidos - WSJ En déficit la AAA, tienen que usar fondo de emergencias para mejoras - El Vocero Hoy pelean DACO y LUMA en Boston sobre fallo de pagar por los enseres - El Vocero Autorizan contrato para que la AEE use generación temporera de 10 años con Gas Natural  de Power Expectations - El Vocero Bancos se oponen a medida que elimina truco de comprar deuda barata y espetártela cara - El Vocero Asignación de millones para Ferraouili es defendida por… ella misma - El Nuevo Día Alegan intervenciones indebidas continuas desde Fortaleza en contratos - El Nuevo Día Ni la ropa de Elvia ni la de Anthonieska es la misma recuperada de la escena - El Nuevo Día Siempre innovando y con los mejores beneficios, MCS Personal Directo te ofrece cubiertas accesibles para que cuides de tu salud y la de los tuyos.Con una amplia red de proveedores de más de 15,000 médicos de libre selección. Reembolso de hasta $40 mensuales por membresía a un gimnasio o por un entrenador personal debidamente certificado. Asistencia en el hogar para servicios de cerrajería, plomería y electricidad de hasta $350 por evento hasta 4 veces al año.¡Únete HOY a la gran familia de MCS!¡Salud que completa tu vida! Llama al 787.945.1259 y oriéntate.Endoso pagado#mcs#incluyeauspicio Cese al fuego entre Israel y Líbano otra vez - CNBCHay fondos para comprar casa - Primera Hora Republicanos votaron a favor de parar guerra de Irán - Reuters En problemas famoso dominicano congresista aliado de PR - Gothamist CUBA se quedó fuera de Visa y Mastercard por sanciones a GAESA - Cuba Debate  Venezuela subiendo exportaciones 22% — Bloomberg  LOS DATOS DEL DÍABrent: $96.97/barril (-0.86%)Diésel (promedio nacional EEUU): $5.35/galónS&P 500: 7,553.68 (-0.74%)Dow: 50,687.07 (-1.21%, -620.72 pts)Bono 10Y del Tesoro: 4.49% (subió desde 4.43%)Euro/USD: 1.16Gas natural (Henry Hub): $3.21/MMBtu • • Tasa hipotecaria 30Y: 6.52%

Addy and Joey recap AI on the Lot's biggest announcements: Amazon MGM's Gen AI Creators Fund, their new AI production platform Project Nara, and the backlash that drove Jorge Gutierrez out of the program. Plus, new agentic tools from Drumina and Luma. ...

PODCAST LAS NOTICIAS CON CALLE DE 2 DE JUNIO - LUMA se canta pelao y sin dinero para poder operar - WUNO Siguen investigaciones por casos de PUA y federales presionan al gobierno para meterle mano - El Vocero 14 mil personas sin agua en PR alrededor de la isla admite la AAA - El Vocero Jueza vuelve a fallar contra LUMA y a favor de que el caso siga en tribunales estatales - El Vocero JGo dice que cuadró presupuesto, le debe 94 millones a Educación Especial - El Vocero A declararse culpable CDobleta - El Vocero Secretaria de la familia subió sueldos a empleados de confianza nos dice Luis Javier - El Vocero PPD demanda a Justicia para que entreguen info ddd casos archivados - El Vocero Gracias a exención de cabotaje han entrado 2 millones de barriles desde USA con barcos extranjeros - El Vocero DEA arresta a enfermera por robo y manipulación de fentanilo - El Nuevo Día Comisión total al jefe de la AAA - El Nuevo Día Norwegian reduce cruceros desde PR por falta de puertos dicen - El Nuevo Día Calor extremo y polvo del Sahara afectando salud de boricuas - WAPA.tvUSA hace movimientos para invadir CUBA - USS Nimitz entró al Caribe acompañado de destructores y cruceros; el buque anfibio USS Kearsarge está frente a Virginia. Drones y aviones de reconocimiento llevan meses circulando Cuba. El comandante de Southcom se reunió con militares cubanos Trump insulta a Netanyahu de Israel tras invasión de Líbano - Axios Rusia lanza cientos de drones hacia Ucrania, prohíben exportar jetfuel - Moscow Times Gobierno asegura estar listo pa huracanes, pero FEMA tiene menos recursos que antes - Metro LUMA arranca el año fiscal con déficit de $117 millones - El Nuevo Día Trump pierde otra en capitolio federal, le dicen que no a su fondo de 1.8 billones para darle a supuestas víctimas de Biden - Punchbowl Alphabet dueños de Google salen al mercado pa buscar 80 billones cash para Ai - Bloomberg #universalinsurance #incluyeauspicio LOS DATOS DEL DÍABrent: $94.58/barril (-0.42%)Diésel retail US: $5.52/galón (semana del 25 may)S&P 500: 7,599.96 (+0.26%) — récordDow Jones: 51,078.88 (+0.09%) — récordBono 10Y del Tesoro: 4.45%Euro/USD: 1.165Gas natural (Henry Hub): $3.37/MMBtuHipoteca 30Y (Freddie Mac): 6.53%

What if the cause of a dog's chronic pain, gait abnormalities, weakness, or unexplained mobility challenges isn't orthopedic at all?In this episode of PetAbility Podcast, hosts Chris Cranston, MPT, CCRP, and Cathy Symon, CVT, CCRP, CHPT, explore the often-overlooked condition known as Tethered Cord Syndrome (TCS) with pet physical therapist and rehabilitation expert Amie Hesbach. TCS occurs when the spinal cord is abnormally restricted, creating tension on the nervous system that can affect movement, comfort, and overall quality of life.Because the symptoms can mimic a variety of orthopedic, neurologic, and behavioral (think anxiety!) conditions, many affected dogs may go undiagnosed for years. Amie shares her insights into recognizing the subtle signs of TCS, the challenges of obtaining an accurate diagnosis, and the treatment and rehabilitation options available to help these dogs live more comfortable, functional lives.Whether you're a veterinarian, rehabilitation professional, trainer, or devoted dog owner, this conversation will help you better understand a condition that may be hiding in plain sight.In This EpisodeWhat Tethered Cord Syndrome is and how it affects the canine nervous systemWhy TCS is frequently overlooked or misdiagnosedCommon signs and symptoms that should raise concernConditions that TCS can mimicHow TCS is diagnosed and why diagnosis can be challengingCurrent treatment options and the role of rehabilitationPractical advice for owners seeking answers for dogs with chronic mobility issuesThe importance of advocacy, awareness, and early recognitionKey TakeawayTethered Cord Syndrome may be uncommon, but awareness matters. By recognizing the signs early and pursuing appropriate diagnostic evaluation, owners and professionals can help affected dogs receive the care and support they need to achieve their best possible quality of life.You may reach out directly to Amie by email at AmieHesbach@gmail.com or via her website: EmpowerPhysio.DisclaimerVitalVet.org, a platform for all things related to pet rehab - product information, education, and resources abound! MedcoVet (show sponsor)  Luma - advanced red-light therapy therapy that puts healing in the hands of the pet owner in the comfort of home! Use Promo Code PETPOD22  to receive discounts from our affiliates!Jope - science-backed supplements Ruff Ramp - a safe alternative to stairs Optimum Pet Vitality - education/coursework  Dr. Buzby's -Toe Grips to prevent slipping, Encore Mobility joint supplement, and Brain Boost cognitive supplement. Using this link donates 20% to PetAbility Calm & Cozy Cat Wrap - a must-have for anybody working with catsHedzUpPets Watercollars – save your dog from drowni...

1. Swain vuelve a darle la razón algobierno en pleito contra LUMA.La jueza federal rechazó la petición de LUMAEnergy para paralizar el trámite de las demandas mientras apelaba la devoluciónde los casos a los tribunales de Puerto Rico.2. LUMA anuncia interrupcionesprogramadas del servicio eléctrico en 16 municipios3. Informe de la oficina del ContralorRevela deficiencias millonarias en manejo de cuentas y eventos de interrupciónde la AEE y LUMA4. Nydia Velázquez apoya lalegislación de Nueva York para impedir que los fondos buitre se aprovechen dePuerto Rico y otras economías en dificultades5. Donald Guerrero irá a juicio porcorrupción en la RD, el de Autogermana6. Senadores del PPD demandan aJusticia por información de casos archivados7. Del sapo concho a la cotorrapuertorriqueña: proyecto legislativo que debilita protección del karsocompromete especies amenazadas8. Más de $465 millones por recobraren fraude al PUA9. Israel afirma que se dispararoncohetes contra el norte del país después de que Trump anunciara que losdisparos "cesarían".10.            Trump vs. Cuba: ¿teatro psicológicoo conflicto inminente? 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. 

We're announcing AIEWF speakers this week! Take the AI Engineering Survey!Today's guest Ethan first joined us for the LS Paper Club as the lead on NVIDIA Cosmos World Model, but then joined xAI and built Grok Imagine in 3 months:He comes back on Latent Space with some nuclear hot takes: that Video Models primarily get their intelligence from LLMs, not from training on video data, and that the next frontier for truly interactive, realtime, long-horizon world models is to work on LLMs (perhaps Interaction Models as well…)Put it this way: In the near term, the next Sora won't be a better video model, but a video agent.Generative Media may more closely follow the evolution of AI coding which went from focusing on one-shot output performance and cost, to multiturn reasoning and planning models for agents and systems that can plan, edit, test, debug, and submit PRs.At a certain point, coding models got so good that the only significant next step to improve performance was handling the orchestration of these models.Now as the performance of video models increases significantly across realism, consistency, & prompt adherence while becoming more cost efficient, the next evolution of video generation may also be systems that can plan, generate, edit, critique, and iterate across an entire creative task. In this episode, Ethan joins swyx and Vibhu to unpack what it actually takes to build frontier image and video systems: data, VAEs, diffusion transformers, audio-video alignment, inference speedups, and the hidden cost of storing and moving massive video datasets. From building NVIDIA's Cosmos world model to joining xAI as Grok Imagine was being built from zero to one, Ethan He has been at the center of some of the most important work in video generation, multimodal models, and real-time world models.We go deep on Grok Imagine, how a small xAI team shipped its first multimodal video model in three months, why iteration speed matters more than almost anything in model development, and why many of the biggest gains come from fixing tiny bugs in data and training pipelines. Flipbook: The future of VideomaxxingVideo agents are almost a sure bet to be the trend in the coming year. We end with a glance at what's beyond video agents:Flipbook caused a minor sensation this year when it was released, but most treat it as a fun demo. Ethan takes it very seriously — with the speed and cost of inference coming down every year, the future of custom video JIT UI is closer than you think. We talked about why videogen models may become the front end of AI, how generative UI could replace traditional HTML/CSS, why world models need to be real-time, interactive, and long-horizon, and why the future of video generation may depend more on language models and agents than on diffusion alone.We discuss:* Why fast iteration mattered more than meetings* Why small training bugs can drive huge model quality gains* Why coding models may make compute the bottleneck again* How image and video models are trained with synthetic captions* The role of VAEs and latent space in frontier video models* Why image models are the foundation for video models* The tradeoff between temporal compression and real-time interactivity* Flipbook, Neural OS, and the future of generative UI* Why future interfaces may go from user intent to pixels* The hidden cost of training video models: storage, egress, and GPU hours* How step distillation and consistency models (like OpenAI sCM) makes video inference orders of magnitude faster* Grok Imagine 0.9 and large-scale audio-video generation* Why audio-video alignment is harder than text-video alignment* Ethan's definition of world models* Reference-to-video, video extension, and long-context video generation* Why xAI's research communication undersells Grok Imagine* How xAI culture shaped the speed of development* AI watermarking, SynthID, and detecting generated media* Why prompt rewriting matters for video models* Grok Imagine Agent and the rise of video agents* Why language models may unlock better video generation* Robotics, physical AI, and embodied world models* Why Ethan left xAI and shifted focus toward LLMs* Self-managed context, memory, and the next frontier for language modelsEthan He* LinkedIn: https://www.linkedin.com/in/ethanhe42* X: https://x.com/EthanHe_42Timestamps00:00:00 Introduction00:01:25 From NVIDIA Cosmos to xAI00:03:24 Building Grok Imagine from Zero to One00:10:07 How Image and Video Models Are Trained00:18:53 Video Compression, VAEs, and Real-Time Tradeoffs00:22:10 Generative UI, Flipbook, and Neural OS00:32:10 The Cost of Training Large Video Models00:37:04 Distillation, GANs, and Fast Video Inference00:41:21 Audio-Video Generation and Grok Imagine 0.900:48:34 What Makes a World Model?00:55:51 Reference Videos, Long Context, and Video Memory01:00:11 xAI Culture, Research, and First-Principles Building01:09:45 AI Safety, Watermarking, and Prompt Rewriting01:13:10 Video Agents and AI-Assisted Creation01:27:32 Why Language Models Unlock Better Video01:31:15 Robotics, Physical AI, and Embodied World Models01:32:38 Why Ethan Left xAI01:34:16 Self-Managed Context and the Future of LLMs01:38:43 Ethan's Career Path and Closing ThoughtsTranscriptIntroduction: Ethan He, Latent Space, and the Path to xAISwyx [00:00:00]: We're here in the studio with Ethan He, most recently of xAI. Welcome.Ethan [00:00:10]: Thank you. Glad being here.Swyx [00:00:11]: We're also here with Vibhu. you were first coming to us or joining the latent space world because you were working on Kosmos at NVIDIA, and you did a paper. We loved it. you presented it as well, so thank you for doing that.Ethan [00:00:23]: I've actually, I also presented the MoEs twice at latent space.Swyx [00:00:29]: How did you actually hear about us? Did we reach out to you? Is that how it worked?Ethan [00:00:33]: No, actually, I-- the community. Like I realized, oh, there is this online community that people talk about AI and also learn from each other through papers every week through the Paperclip. It's very nice.Ethan [00:00:49]: I learned a lot.Swyx [00:00:49]: I think three years stop. We haven't stopped even on Christmas and New Years. many weeks I want to stop but it keeps going.Vibhu [00:00:58]: No, that was good. I think you had posted that you worked on a paper, and I was “Oh, very cool. We have Paperclip. Present then.”Vibhu [00:01:04]: But I might have reached out to you after.Swyx [00:01:05]: you-- because it's an amateur club, right?Swyx [00:01:08]: so it's very unusual and but we have sometimes paper authors come by and actually explain the paper. Today we just did, the poolside paper, which was apparently very good.Vibhu [00:01:18]: Came out yesterday.Vibhu [00:01:19]: pretty interesting, right? Fully open. They talk about everything, systems. So it's a good one. We'll, we'll recommend people to read it.Swyx [00:01:25]: Bring us up to speed on your transition to xAI, ‘cause I actually don't even know when you joined. just like tell the, tell the story about the sort of transition.From NVIDIA Cosmos to xAI: Scaling Video and World ModelsEthan [00:01:34]: Before xAI, I was working on Kosmos world model as in-- at NVIDIA. So Kosmos is, it's a giant video foundation models that can-- that aims to simulate the world and for-- it serves as a foundation of-- for all of the roboticists to build on top of. There, once I built the Kosmos one, I realized as this thing also has a scaling law similar to language model, we need to scale up the video models further. that's, that's why I realized I need to move to somewhere with much more compute resources. That's how ISwyx [00:02:13]: Than NVIDIA?Vibhu [00:02:14]: The GPU rich came themselves.Vibhu [00:02:19]: And timeline-wise, when was Kosmo? It was pretty early, right? It was open world model, open paper, everything.Ethan [00:02:25]: It was end of twenty-four.Vibhu [00:02:28]: End of twenty-four.Ethan [00:02:30]: Then at mid twenty-five, I moved to xAI. At that time-- I joined about the time when xAI was about to build video models and in multi-model models. There were no infra, no data, and no model, and it just-- as a few engineers, we built it in three months and released the first model, Grok Imagine zero point nine.Ethan [00:02:55]: And since then, I keep working on video models and move more from training and to post-training of the video models. For example, like a reference to videos, kind of like the cameo feature and, video extensions. And, before I left, I worked on a world model, leading a small team to focus on the real-time long horizon video generation.Building Grok Imagine From Scratch in Three MonthsSwyx [00:03:24]: Can you give like a rough roadmap of okay, you're on a brand-new team. Grok previously was only text, or they partnered with BFL for their image gen stuff. What do you-- what are the building blocks, right? You have compute, data you can procure somewhere. Like just what are like the sequence of things that people should think about when you're setting up a new team?Vibhu [00:03:43]: actually even deeper, not just data you can procure. You guys had to go through getting the data too, right? So you shipped it pretty fast, but yeahSwyx [00:03:51]: three months is likeVibhu [00:03:52]: From everythingSwyx [00:03:52]: actually like very surprisingly fast.Ethan [00:03:55]: One thing I say like thanks to my experience at NVIDIA, ‘cause first time when we were building Kosmos together, we built it, for about a year. So this is like the second time I do it. Roughly have an idea, what to do. I say the most important thing is the talent. Everyone were very strong and clever, very close with each other towards a common goal. So that speed up things a lot. So you reduce the communication bandwidth among people, and everyone can work towards the same goal. It's, it's like every day there's not that much meetings on the calendar, like maybe like a, like a sync a day, and after that it's, it's just all building. It was pretty fun at that time.Ethan [00:04:47]: And another thing is that xAI has very strong foundations of like data inference, model inference, and the supporting there can help the model develop a lot. When I look at, training models, I don't so actually the top important thing is like how many, how many iterations can you do, per day? and the more iteration can you do, you can, you can train the model much faster. So if you have very strong infra and you have a lot of compute, you can, you can train these models in very short period of time. That can give you a much larger buffer to, for errors, and it also gives you the opportunity to spot more bugs.Iteration Speed, Compute, and Debugging Model PipelinesSwyx [00:05:46]: What is an iteration? Is it like a few hundred steps or what are youEthan [00:05:50]: Let's say just the train-training the model, like from acquire new data and maybe design new algorithms and train a new model, maybe at smaller scale orSwyx [00:06:01]: So cycle time for like any hyperparam that you're searching.Ethan [00:06:04]: Cycle time and tune to like eval this model. Is this model better than my previous iteration?Ethan [00:06:11]: SoSwyx [00:06:11]: So it's like before you, someone had already set this up that you can iterate very quickly.Ethan [00:06:15]: I think the foundation there is extremely good forDeveloping and research models.Ethan [00:06:23]: And often I find is it-- this is kind of boring, but like a lot of the improvements does not come from new algorithms. It comes from finding small bugs here and there in the data pipeline, in the, in the model training pipeline. Those give, those give the biggest boost to the model quality.Vibhu [00:06:46]: It's interesting, right? So you say it's like small team, less communication bandwidth, but also a lot of quality is like find little bugs. It seems counterintuitive, right? You have a lot of people, you can iron out more of those, but it's interesting to see the other side, right?Swyx [00:07:00]: I also wonder, have you-- do you try using LLMs to look for bugs? I don't know.Ethan [00:07:05]: I remember at that time it was mid two thousand and twenty-five, so it's the coding model wasn't quite there yet. I remem- I remember like December two thousand and twenty-five, it was extremely good. Yeah, I've been, I've been using it at that time. It's, it's helpful. sometimes it produce codes that are kind of difficult to maintain, even though like the first time it built something extremely fast. But it gave the, like a spaghetti code, thousands of lines that I couldn't maintain, and the LLM itself couldn't figure out what's, what's wrong and how to improve on top of it. But now I find it much better. Yeah, I want to bring up another point here is now coding models are much more efficient and can help us implement stuff much faster. Compute might become a bottleneck again because previously, like if you want to train a new model, say you want to generate new synthetic data and then or write a new algorithm, it might take a few weeks. And during that period of time, you don't-- you might not have experiments to run. But now you can build that thing within a few hours, then you can immediately train a model.Ethan [00:08:24]: Now you have to have enough compute to try all of the ideas. So compute might be the bottleneck of iterating speed again.Swyx [00:08:36]: yeah, I actually, honestly, I think it's like kind of a stressful job because you're “Well, I should be trying everything, and if I'm not, then I'm not doing my job well.”Vibhu [00:08:48]: there's also the stress of you're eating thousands of GPUs per hour, which is very expensive and, compute can go to other researchers.Swyx [00:08:56]: You got the daddy Elon toVibhu [00:08:57]: You got daddy Elon.Ethan [00:08:59]: It wasVibhu [00:09:00]: But there's still finite amount of compute, like you want to use it, you want to use it well, you want more of it.Ethan [00:09:06]: That was quite stressful indeed. Yeah, I think one thing is the-- with coding models now, like a lot of these jobs can be automated, which is much better. A second, it's a, it's a marathon, so you got to maintain good health and, a regular schedule.Vibhu [00:09:28]: It's, it's hard to hear that when you shift from zero to nothing in two months.Swyx [00:09:32]: and, I think obviously the culture at xAI is very famously, people work very hard. one thing I did want to dive into, in our-- in the notes that you, that you sent ahead of time, you had specific comments about the cost of Video Gen training. presumably this is on the Colossus-1, right? the two hundred megawatt cluster. Any whatever you want to just share on that.Vibhu [00:09:54]: I think there's, there's three things we're talking about, right? So there's Video Gen, there's also the Image Gen model that you put out. Do you want to like complete the, okay, so zero to one, you have a few months. Just what are the stages of create Image Gen model?Swyx [00:10:06]: Oh, yeah, maybe I got distracted.How Image and Video Models Are Trained: Synthetic Captions, Tokenizers, and VAEsVibhu [00:10:07]: Sorry. and then, from there's Video Gen, there's Audio Gen. Would love to get into those next. But what is that first few months like? So small team, a lot of bugs, iterations, but what does it look like? Do we take something off the shelf? Do we just get data compute? What's, what's the few months like? How do you go to state-art Image Gen model? How do you just start?Ethan [00:10:28]: I cannot comment specifically how xAI did, but it's, it's a quite standard process. I can draw some, examples from Cosmos. So mainly it's building a video model, you actually need to build a image model first. And building these two models, the data you need is a hundred percent synthetic pair of language and image or language to video. Because on the, on the internet, actually, the videos don't naturally associate with text. So you can say, oh, like on YouTube, you have the title and you have the description and the commentsSwyx [00:11:11]: TitleEthan [00:11:11]: of a video, but usually they're not relevant to the video itself. And say maybe like the video is a natural scene of mountains or something, and the title is, I'm so happy today.Ethan [00:11:26]: So they have they have no correlation at all. So the first step is to, you have to generate synthetic pair of language with the videos. So you gather videos from the internet, and you use a VLM to caption the videos. So that part, here's a question, like how do you, how do you gather VLM to begin with? So if there's noSwyx [00:11:55]: You, so you fuse the model, right? LikeEthan [00:11:57]: Say if there's no like VLM exists, like how do you generate the text to the beginning, right? It's, it's impossible.Swyx [00:12:04]: I see.Ethan [00:12:05]: In the beginning, it's like you ask human to describe the video as detailed as possible.For example, you ask them to describe everything, like all objects, all characters, and all interaction and dialogues in the, in the videos. So that's in the protocol of Cosmos labeling. We require the objective we give to the labelers was that you have to describe the video as detailed as possible, such that a blind person hears a blob of text can reconstruct what the video is like from their head.Swyx [00:12:43]: Video or image? You're talking about images.Ethan [00:12:44]: Video or image, either one of them.Vibhu [00:12:47]: This was pretty common when we went from clip and DALL-E, right?Vibhu [00:12:51]: It's all training on really detailed captioning of images. So same is applied to video, but insteadEthan [00:12:57]: same appliedVibhu [00:12:57]: of using multimodal model to pass in video images and write rich descriptions, you can alsoSwyx [00:13:04]: I think there's this traditional perspective of supervised, or, very highly human curated thing. I feel like there's a unlock with unsupervised, right? Where like you have enough to bootstrap that you can just throw common corpus on it or, whatever. like unsupervised vision and language pairing, right? Like where you just have, interspersed image and text and it just learns. To me, that is the VLM breakthrough that is different from the clip, different from the LM era.Ethan [00:13:36]: It's interesting to see that you kind of need both data.Ethan [00:13:41]: For example, for theSwyx [00:13:41]: You need it to bootstrap it up. YeahEthan [00:13:43]: for the generative model training, there's also usually like a small percentage of unlabeled data. So the model is instructed to generate a video without any text instruction. That can also help the model generalize. So after this stage of generative synthetic pair, so, one important common step is to train a compressor or a tokenizer of the image or videos. So because, if you train-- If you can technically, theoretically train image or video models on pure pixels, but the problem is that the, it's, it's a lot of tokens. So like one image, it's, a thousand by a thousand, it's like one million tokens, one million pixels. It's impossible to train transformer on that. So it's, you need to train a tokenizer, which can go from image to latent space and latent space back to image.Swyx [00:14:45]: That's why we named the podcast.Swyx [00:14:48]: But, basically, you're talking about vocabulary science.Ethan [00:14:50]: so vocab.Swyx [00:14:51]: And so, what is, what is imp-- like a million is impossible?Ethan [00:14:54]: In generative models, the vocab is continuous. It's a continuous space. We can think about like you map an image to a vector. It's a, it's a fixed length vector. It's sixteen or forty-eight, something like that. And then you map that vector back to the image space. And the mapping is, has-- The mapping is patch-based. So you say you haveEthan [00:15:22]: a sixteen by sixteen patch and you match, you map that patch of pixels into this latent space.Swyx [00:15:29]: We've covered thisVibhu [00:15:30]: This is like the vision transformersSwyx [00:15:32]: VAEs,Ethan [00:15:33]: VAEs.Vibhu [00:15:34]: You basically compress your input, you do your generation, you're reasoning all that generation in smaller dimension, and then you project back out.Swyx [00:15:43]: VAE is a form compression, but I think the for me, the patching thing is from VIT, right?Ethan [00:15:48]: You can make those.Swyx [00:15:49]: Literally the, yeah, the paper is titled like sixteen by sixteen is all you need. something like that. and then I think also, people make a lot of comparisons with this kind of patching with convolutions.Swyx [00:16:02]: Which is you're, you're kind of re- reconstructing the old paradigm with the new.Ethan [00:16:05]: Actually, in VAEs, there are, there are both convolution networks and transformers. You can actually do both.Ethan [00:16:14]: After this VAE, so what you've got is you've got latent space tokens and you've got the language tokens. So now the training of the diffusion transformer, usually generative models use diffusion transformers. It is actually quite standard. It's, it's very similar to how you train a language transformer models. It's not that much difference. It's just the tokens, the visual tokens in, visual tokens out. The only difference is there's a denoising process. So you train the model to unmask some of the noise. So you add, you add random noise to the visual tokens, and then you train the model to remove those noise to generate the clean tokens. Any inference, the model can iteratively remove noise from a hundred percent noise.Swyx [00:17:12]: And then there's also, to speed things along on the tech tree of diffusion, there's CFG, and then there's, there's also, latent diffusion that, there's, there's someone in there. I think, somewhere along the line, obviously, like stability and all these other guys, pioneered a lot of this, architecture. I don't know if you want to get into that or just, or do the video side up to you.Bootstrapping Video from Image Models and Temporal CompressionEthan [00:17:37]: After you train such model, such image model, the reason it's a, it's a foundation for video models is that image models are cheaper to train, and they have much denser connection between language and text. So, sorry, language and images. For example, you train a billion, you train on a billion images, and there's a mapping from the text to the image. And the cost to train the same, like the, a billion, a billion text to a billion videos, that's much more expensive because videosNaturally have more tokens than images. Because the diffusion models, their understanding of, language purely come from this mapping. So if you don't have enough mapping, so if you only train on like a ten million videos or something, there-- you might not see enough language tokens in your training, so your model does not understand human intention enough. So that's why you really-- you train-- you first train this image diffusion models, and then you bootstrap the video model from there.Swyx [00:18:53]: One thing I did want to ask, because I-- actually, I think you're, you're the first per-- video model person I've ever talked to, I think. we've, we've like talked to Luma and all those folks. There's all these tricks in video compression where basically frame by frame there's not that much difference, so actually you don't have to regenerate or save the whole frame, right? but I think MP4 compression or something else like that.Swyx [00:19:16]: is it tempting to use that? Or as far as I can tell, everyone just treats it as, “No, we would just generate every frame.” Is that roughly the state-art?Ethan [00:19:27]: There are a few different approaches. Let's say first, like you want to just directly use MP4 compression and use that as the tokens for the transformers to train, right? So people actually have tried that, but the main challenge is the latent space for the MP4 tokens were not, were not very comprehensible for the models. It's, it's extremely hard to train on that. And there's aEthan [00:20:01]: So that's why they created VAEs, which creates more continuous, latent space, so the models can understand that latent space and learn from it much easier. Even within the VAEs, there are different difficulties of the latent space. So you can imagine something the simplest, the most naive VAE is like you have an image, and you just shuffle all of the images into a, into a vector. So you don't need to train any VAEs, right? But that latent space is extremely hard for models to train on top of. That's why there are some debate on like how do you compress the tokens. So you mentioned like you can compress frame by frame. Also, you can compress, the temporal dimension.Ethan [00:20:52]: The difference is if you compress the temporal dimension, you get a much higher compression rate. Because there's temporal redundancy between frames, because, this frame and the last frame, likely they are mostly similar, so there's only some small difference. for example, I think in 12.1 VAE, they have like a eight by eight by four compression rate. So the four temporal tokens are compressed into one tokens. That can save a lot of, save a lot of the context length. If you do it frame by frame, you have to do maybe like eight by eight by one. Your context length will be four times larger. That being said, the benefit of the frame-- per frame compression, we might come back to this later, is, real-timeness and interactivity. ‘Cause if you, if you strain the output of the model, frame by frame, you can-- the model can respond to any user request immediately. So if you have like a temporal four compression, four times compression, thenSwyx [00:22:06]: It might be laggyEthan [00:22:07]: there's a lag there in nature.Swyx [00:22:10]: So you're very pilled on this. let's just go ahead and bring it up ‘cause we have the visual prepared anyway. There's some frontier applications of real-time video gen. So Flipbook is one of the examples that went viral recently, right? What is Flipbook?Real-Time Generative UI: Flipbook, Neural OS, and Diffusion Front EndsEthan [00:22:23]: Flipbook is kind of like a web brow- web browser. You can see like it has the web bro- browser UI on top. The difference is all of the UIs are generated by generative image model in real time, and anything here are fake. But you can, you can explore inside this wor- this imaginary world. Say like we-- here we have engineering the Great Pyramid. Like the model generates this for us to understand how it works, and if we want to navigate around and understand further, we can click on some of the, some of the description here, and the model will generate a new page, new subpage describing the details we want to know about.Swyx [00:23:14]: So it's basically kind of we're playing a video, but it's pausing for our next interaction, and then it just plays the next thing based on our interaction.Swyx [00:23:23]: Which is kind of cool.Vibhu [00:23:25]: and you kind of decide your story. So this was, how do you make a pyramid? levering technique seemed interesting, right? It shows how do you take Okay, I want to know what is thisSwyx [00:23:35]: The demo, the demo tweet had more animation between frames.Vibhu [00:23:38]: I think it's just skipping,Swyx [00:23:39]: Oh, it's just skipping a lot of frames.Ethan [00:23:40]: they also have a video modeVibhu [00:23:42]: It takes a lot. There's a lot of peopleEthan [00:23:42]: but, a lot of people are using it.Ethan [00:23:45]: So it's not available.Vibhu [00:23:46]: There's a live video stream. We can try,Swyx [00:23:50]: So this is an example of the kind of future that you see at the extreme. We don't-- we're obviously not in it today.Swyx [00:23:56]: But in a world where inference is completely free this is better than generating code and text?Ethan [00:24:02]: So this is, this is a final state of where Viva will be at for word model, I think. Imagine internet doesn't exist, and then you type in google.com. Like what should, what should, what should a model show you?the model can imagine something, and this is what the model imagine. And these web pages, they completely do not exist. So I think as the inference costs come down, we are going to have generative UI for everything. If you think about how the coding model works, so they write code for a web page, and they render the code might be con- converted into binary, and the binary render the pixels on the screen. So we in machine learning, every time we have some breakthrough, obviously it's, it's more intuit. So why don't we have like user instruction to the pixel directly? So the generative UI will be user intention to the pixels directly. And say like even if I want email, let's say everyone have the same interface, but I want, I want it slightly different. I want the email to show to me like a TikTok, so I can swipe left and right for the emails. And or maybe you want something else. We can have completely different things. Or like I have I'm looking at, Instagram stories, and I don't like the Like button. I always may click it. And, generative UI resolved it. So it's going to be a revolutionary replacement of the interface. So in the future, we might have much more powerfulEthan [00:25:50]: LLMs and coding models running behind the scene. And in the, in the front-end, the diffusion model will actually be the front-end to show stuff to you. That's how I imagine it.Swyx [00:26:02]: Diffusion front-end, deterministic back-end.Swyx [00:26:04]: Something like that. I find that very expensive, but,Vibhu [00:26:08]: I find it interesting you called LLMs writing code on the back end deterministic, but okay.Swyx [00:26:14]: you write it onceVibhu [00:26:15]: Compare it toSwyx [00:26:16]: And then you execute.Ethan [00:26:17]: If you think about the cost, say, let's say H100 costs $1 per hour, and if you use this eight hours a day and thirty days, so, every month you're paying this two forty, you'll actually not wanna pay for that. That's even more expensive than Cloud Code Max. But if you think about the compute costs come down like two times every year, and I think the future will likely arrive like within few years.Vibhu [00:26:49]: It's everything, right? compute cost comes down, compute gets faster, model gets smarterEthan [00:26:54]: More efficientVibhu [00:26:54]: model gets smaller.Swyx [00:26:55]: I don't know why you say two times, ‘cause I think it's like 100 times. In language models, it is roughly one hundred to a thousand times every twelve to eighteen months, for the same given level of LMSys, ELO.Vibhu [00:27:08]: That's a net of everything, right? That's model performance alongside compute. So different than just compute costs come down. But, a very interesting future.Swyx [00:27:19]: So the web designers will have to shout out that accessibility is an issue, right? how do you deal with screen readers or whatever. But yes, this is higher bandwidth storytelling than anything you can possibly generate with code, right? So I think that's the rough idea.Ethan [00:27:34]: And I'd like to add a little bit that so human naturally have the maximum bandwidth when we are looking at things, look at videos, and we also have maximum output bandwidth when we are talking. So in the future, it might be something like we talk to AI models, and the AI model responds back with a generative UI. So that would be the maximum input and output bandwidth to interact with AI models before neural link happens.Vibhu [00:28:06]: And it's also very custom, right? Some people are very visual, some people are not as visual, right? They prefer the text. But the best thing about generative UI, right, it can also be text.Swyx [00:28:17]: There's another project that we wanted to highlight, which is the Neural OS. Kinda similar idea, but here you're literally operating, simulating an operating system with a video model.Swyx [00:28:27]: and you can play Doom, you can do Firefox. I find this like mildly less impressive, obviously, because it's an OS that I can run.Swyx [00:28:37]: But here everything is imagined.Vibhu [00:28:40]: I was, used to the Command+W to close the Firefox tab. It didn't crash. That's why I saidSwyx [00:28:45]: It's too immersive.Vibhu [00:28:46]: It's, it's too immersive for me.Swyx [00:28:47]: Too immersive.Vibhu [00:28:48]: I wanted to close the tab.Vibhu [00:28:49]: But yes, I can play generated diffusion.Swyx [00:28:51]: this is shockingly fast.Swyx [00:28:54]: Because I remember there was a demo about like maybe one to two years ago. Someone tried to do the first-person shooter with a image model. There was no consistency. It was very slow. But here it looks like realistically it's-- this is Doom.Vibhu [00:29:07]: I think there's two sides to that, right? There's okay, what is running a game? The heavy part of it is actually the game engine, all the lighting, all that stuff, the graphics. This is just kind of video, right? Like we've solved consistency. This is still, it looks like a few years old image generation. There's some temporal consistency, but it's, it's kind of just images stitched together as frame video. But it's a good visual representation to pi- to picture the future you wanna see, right? that's, that's what I see in these more so.Ethan [00:29:38]: This reminds me of how the video models gets better and better. So Neural OS is kinda if you just look at it feels like it's just a crappy version of the, like the Windows we could have, right? And, but the difference is, so the model, this model is overfitted on the existing operating systems. It can generate nothing different than that. But it's actually also similar to video models. So when we are training these video model, image model, we train them on internet. There's no imaginary supernatural stuff on the internet. But once we train this model, you can prompt the model to generate something supernatural that have never existed in the data set. So if you train your Neural OS or neural computer on the standard screen recordings on the entire internet. The model can imagine completely new interface to interact with the computer.Swyx [00:30:43]: This is one of those things that is magical to me. usually generalizing out of distribution is bad, but somehow we have learned some kind of internal world model that you say, this plus, but it looks like rainbows and butterflies, it'll do it and it will kind of make sense.Swyx [00:31:03]: So yeah, that's kind of cool. Yeah, I don't know if there's any comment more on there. I do, I do wanted to, I did wanted to touch a little bit more on the model architecture stuff, which I think you were getting. It's, really fascinating. We don't get a chance to talk about this enough. So one of the papers that we covered, we've covered every annual, segment anything release. and I don't know if you follow-- you're a computer vision guy, so youEthan [00:31:26]: I knowSwyx [00:31:27]: . So they did memory attention, which is kind of interesting. And I always think, anything where you can, across the temporal dimension, keep some consistency, I think it's, very fascinating, and I don't know if Basically, does that-- the CV side bleeding into video gen side, I think is underexplored, right? we talk about it for labeling, but actually you can borrow the architecture itself.Ethan [00:31:50]: There's, there's also complete different approaches, right? you brought up the term world model, so we went from video model to world model. There is diffusion, but there's also other approaches that people are doing. So maybe we get into those after as well,?Swyx [00:32:03]: He has a whole definition of world models and stuff. I feel like we threw a lot at you. Whatever you want to comment on.Why Video Models Are Expensive: Storage, I/O, and Training ScaleEthan [00:32:10]: I think one thing that we should actually comment back on is okay, so we were talking about the steps to train image gen to video model. One thing we don't see as much of is okay, you brought up the delta in training data, right? SoEthan [00:32:24]: you won't have as much a video model might not generalize, but what is the cost of training a large video model? So we know for LLMs roughly, okay, even like the poolside thing that came out today, right? It's a Gemma level model trained on roughly forty trillion tokens at this many H200s over this much time, right? You can see what is the exact cost of that. So how many GPU hours over how much H200 costs? So how do we do the back-end math of, same thing for video models, image models. How do you, how do you kind of break that down? I can share some back-envelope calculation. So surprisingly, video models is-- the cost is very-- is comparable to language models and obviously the largest scale is language model, maybe like a medium scale to language models. I said just storing the videos alone, it costs a lot. You can, you can maybe look up on AWS or something.Ethan [00:33:20]: You really, say if you have a billion videos and let's say, let's just say like each video, like five megabyte, then you need five petabyte to just store those videos. And also remember we talk about you use a VAE to compress the videos, and you also need to store, typically you need to store those continuous feature, in-- also in your storage. That's also comparable size with the videos themselves. So just storing these videos and the features is tens of petabytes alone. And,Swyx [00:33:58]: I just, I just looked up the calculation. Five petabytes on S3 Standard is one hundred K per month.Ethan [00:34:05]: AndSwyx [00:34:05]: It's comparableEthan [00:34:05]: and you needSwyx [00:34:06]: AndEthan [00:34:06]: And then like tens of petabytes, two hundred K. And even more expensive is you have the ingress and egress.Swyx [00:34:13]: Oh, yeah.Ethan [00:34:14]: Like you-- through the internet. You have to just to download those videos, I believe it's, it's more expensive on AWS than just storing those videos.Swyx [00:34:25]: Storing, yeah.Ethan [00:34:25]: And each training runs, you probably need to pull them once. If you train multiple times, it's, it's even more than that. So it's like just storing the network, those costs is just, it would be a few, a few millions per month to just storing everything, not to mention the GPU cost.Ethan [00:34:45]: AndSwyx [00:34:45]: my side tangent, the compute rental, like GPU rental is very efficient. There's one side, okay, you can be XAI and build your data center. Should we not just build our, storage compute as well? LikeEthan [00:34:57]: Of courseSwyx [00:34:57]: cloud cost compared to just,Ethan [00:34:59]: You save so muchSwyx [00:35:00]: store. Yeah, exactly.Swyx [00:35:01]: Especially with like egress and stuff. So.Ethan [00:35:04]: That's a good idea, but it also comes to-- there are some of its own challenges.Swyx [00:35:09]: Of course, of course.Ethan [00:35:10]: like people who build the GPU data centers, they might not expect this much, storage. And yeah, people build storage, typically they just build it somewhere with just CPUs.Swyx [00:35:23]: I just looked it up. Five-- AWS only charges for egress, not ingress. Tier five for five petabytes is two hundred and thirty K.Ethan [00:35:32]: Even more expensive than the storage.Swyx [00:35:34]: But storing is per month, right? You check in, then you cannot check out. so it's so cool. It's okay. So there's that side.Ethan [00:35:41]: So the TLDR, my backhand mathSwyx [00:35:42]: Data is larger than you think. Yes.Ethan [00:35:44]: my backhand math of GPU hours times GPU cost is also very much, I'm missing some storage.Swyx [00:35:49]: You're also-- you're basically like also more IO bound than normal training.Swyx [00:35:55]: Yes. ‘Cause like data loading, so caching everything, it becomes super important.Ethan [00:36:00]: So in Cosmos, we did a lot of optimizations to make it not IO bound. So, speaking of the training, actually training the model, the GPU cost, if you look up like the open source model, how big these video models are, I think like LTX has nineteen B parameters. That's a dense model. And people are also exploring, MoEs, so it might be twenty B active and, like a hun- hundreds B, total. So that's, that's even-- that's similar size as medium-sized LLM models. And if you, if you look at number of tokens-Uh, we disclose that in Cosmos. It's also like tens of trillions of tokens on the visual tokens. So putting this together, the cost of, training these video models, it's actually comparable with LLMs. Not to mention, the infra is slightly different from LLM, so it might be less efficient to train these models.Inference Speedups: Step Distillation, Consistency Models, and GANsSwyx [00:37:04]: Do you get the benefits of traditional diffusion speed-up? So for, images, there's LCM, LoRAs for, fine-tuning. There's, there's a lot of stuff that's beenEthan [00:37:15]: Flow matching.Swyx [00:37:16]: there's flow matching. There's a lot of stuff that's been done. there's some overlap that applies to diffusion on the inference side and stuff or?Ethan [00:37:23]: so the difference-- the inference side is a completely different story.Ethan [00:37:28]: I think for the training side, it might be a little bit hard to reduce that cost. And for the inference side, the biggest gain is from the distillation of these models. You can-- It's called step distillation, slightly different from knowledge distillation in LLMs. So you-- Typically, for flow matching models, you need like 100 steps or something. Like a distortion model even need even more, like 1,000 steps to generate a good image or video. A step distillation is try to learn to generate fewer step from the model itself. It's kind of like now we-- you use the full model to generate in 100 steps, and then you take a model that only generate 10 steps and let that model to learn from the perfect one.Ethan [00:38:25]: why this workSwyx [00:38:27]: Strong to weak seemingly.Ethan [00:38:28]: It is. It's kind ofSwyx [00:38:29]: DistillationEthan [00:38:29]: kind of like strong to weak. the-- from the modeling perspective, the strong model, the teacher model is trying to model the image and videos of inter-internet, and that distribution is extremely complex. But the step distilled model is just trying to learn from the teacher. The teacher is a model, and the size is fixed, as the distribution is much simpler than the whole internet. That's the intuition I have why step distillation can work. So usually these models serve in productions, they only run in a few steps. In Cosmos, I believe we have, we have like four step and eight steps. If you do some simpler task, image-image translation, it can even run in fewer step, like one step in Cosmos Transfer.Swyx [00:39:22]: I think this is the same intuition that guides a lot of the consistency model work. I sent you a link for, SCM. I don't know if you covered that. To me, that was actually one of, the most impressive papers I've ever seen from OpenAI.Swyx [00:39:34]: That this is the unifying grand concept of consistency models. I don't know if you have any comments on this.Ethan [00:39:41]: So there are, there are a few different approaches,Swyx [00:39:46]: Oh, yeah. Here it is.Swyx [00:39:47]: Two steps versus twenty or 100 steps, whatever. It's already done.Ethan [00:39:52]: So there are, there are a few different approaches, for example, consistency model, and there are also Actually, we shouldn't forget GAN. So GAN, actually, that was, that was the OG ofSwyx [00:40:05]: OGEthan [00:40:05]: step distillation ‘cause it trained just one step to begin with. So actually, a lot of, uh-- For example, there's a distribution matching distillation which use, which uses GAN, as one of the laws for distillation. It-- GAN just tells you, “Hey, generate an image,” and thenEthan [00:40:31]: it has a discriminator to tell, is this image real or not? So the model, the model just need to learn one of the distribution, not the full distribution. Because in training, the model is asked to reconstruct the ground truth image from the internet, which is extremely hard. And in-- When you're training GAN, it's a step process. It's just a, “Hey, you generate image. Does this image look as real as the image from the internet?” Which is a much simpler task. And, yeah, combining a lot of these approaches together, people typically do that, like consistency model and distribution matching and GAN, and we can get these few step models.Audio-Video Generation and Time AlignmentSwyx [00:41:21]: Then there's one step I wanted to add, which is audio and video.Ethan [00:41:26]: So, Grok Imagine zero point nine, I believe it's, it's a first audio video transmodel deployed at a large scale. SoSwyx [00:41:39]: And that was your first model?Ethan [00:41:40]: that was, Grok Imagine's first model. It's, it's audio video, joint generation. I think the hard part is, the modality alignment, ‘cause before this transmodel, we have, we have text to video alignment. We have this, correspondence between text and video. Typically, most of the VLMs, they understand images and videos. Video's very rare, and they don't understand audio mostly. And if you look at the audio generation on the LLM side, you can talk to them perfectly fine, but if you ask them to sing a song or something, it typically is not very good. Also, they don't have, they don't have music either. The hard part is thatUh, actually audio has two component. It has like a discrete component, a continuous component. The discrete component is like the language.Ethan [00:42:44]: So when we speak, it's just, someSwyx [00:42:47]: It's an ASR issue, yeah.Ethan [00:42:49]: It's, it's text token with some characteristics, I would say.Ethan [00:42:54]: But musicSwyx [00:42:56]: I think the speech guys would disagree with this.Swyx [00:42:57]: Like disfluencies and then,Vibhu [00:43:00]: There's tones you can get angry.Ethan [00:43:01]: Well, I say largely.Ethan [00:43:03]: the mu- but the music is completely different. It's, it's very continuous, and you cannot model them like discrete tokens in language models. this is like the hard part for models is, not to mention we have to align text, video, and audio together.Ethan [00:43:26]: SoVibhu [00:43:26]: How?Ethan [00:43:28]: So significant-- some significant challenges are like-- So first, like we talk about as the VLMs, they cannot understand most of them cannot understand audio.Ethan [00:43:39]: So you have to have some way to do the synthetic data generation for audio. You have to caption the model, and that involve, that involve synthetic data and human data effort a lot. And not just surprisingly, most of the LLMs are very bad at recognizing, like the beat, tone, and the details of the of music. They can, they can give some general prediction of which song is this, but it's very hard to describe the details of the music. like we mentioned in image generation, like you have to describe image as detailed as possible so that someone blind can reconstruct that. So here is like someoneVibhu [00:44:32]: DeafEthan [00:44:32]: someone deaf can reconstruct how the music sounds like without actually listening to it. Maybe you can think of it need to have the-- or they call the script.Vibhu [00:44:49]: Subtitles, yeah.Ethan [00:44:49]: You gotta have all the details of the music, and the dialogue.Vibhu [00:44:55]: So is the challenge there typically stuff like music and audio, or is it just Like is there a baseline? Okay, there's enough data where we can understand, narration, conversation, but there's nuances in audio that's where you hit all the data issues or is it just from stage zero, you just do it all right?Ethan [00:45:15]: So one important thing is like the alignment. So the model, the model has to know like the video and audio, the, uh-- it has to have a time-based alignment, like at which time step the video and the audio token correspond to each other. But we actually don't have this kind of alignment for most of the other modalities. If you think about like text and image, text and video, they are loosely aligned. So you can, you can have a description of what's going on in the video, but you don't have to exactly, You typically don't have exact description, oh, at, time step one second like what happened?Vibhu [00:46:02]: It's veryEthan [00:46:03]: At time step two second what happenedVibhu [00:46:03]: coarse. Yeah.Swyx [00:46:05]: So what was the ideal time step? You have to oblate it, and then it's like four seconds or something.Ethan [00:46:09]: So that comes down to how you design the model to, for the model to be aware of as a time, as a time modality. So the model is like a time aware. And that's something pretty unique if you think about LLMs. So if you ask LLM to complete a task, say they, uh-- you ask them and they will say, “Oh, this task will probably take twelve hours to complete,” and they come back in one hour. Say “I've already spent two days on this and I've exhausted everything.”Ethan [00:46:47]: So the LLMs them-themselves, they don't have a sense of time there.Vibhu [00:46:53]: I actually don't think that's just them not having a sense of time. I think it's somewhat based, right?Vibhu [00:46:58]: Like you tell someone, “Okay, go work on this feature. Go implement this,” there's a general understanding you would have of how long that would take without LLMs working at LLM speed, right? So you think back like two years ago, if I tell you to like build me like a new front end for latent space, have a search bar, have all this, you'll estimate that it'll take a few days, right?Vibhu [00:47:19]: So you tell an LLM, “Go build this.” It'll take me a few days. But I think it's somewhat grounded as opposed to them not having the best-- Not saying that they have a great understanding, but I think that example is like you can see where it comes from, right? You're trained on all over the text.Swyx [00:47:35]: They're, they're trying to estimate what a human would say.Vibhu [00:47:37]: because that's what the, that's what the data kind of represents. It's not themEthan [00:47:41]: It came from the corpus on the internet. People have a estimate of how much time.Vibhu [00:47:45]: And not even just in direct like training samples, right? Just your world understanding of tokens of how long stuff takes, right? Go read a book. It'll take you a while, right?Vibhu [00:47:56]: Even if you do nothing but read a book, it takes a few days. So yeah, LLM, I read it took me a few hours.Vibhu [00:48:01]: It'll take me a few hours to go through this research. But this is a tangent.Swyx [00:48:05]: Somewhat, yeah.Swyx [00:48:06]: This is a train of thought I haven't really expressed until now is, which is basically like a full world model must also be recursive, meaning that the participant in the world model must also be aware that they have a world model. which is like this whole recursive thing down the, down the line. but yes, and that the world model can be wrong and that they need to update it and blah. Yeah. We've, argued this on the, newsletter as well, that there needs to be sort of recursive or adversarial world models.World Models: Real-Time, Long-Horizon, Interactive VideoVibhu [00:48:34]: just, to ask, how do you define world model?Swyx [00:48:38]: Oh, yeah, let's go there.Ethan [00:48:40]: SoVibhu [00:48:40]: So just for context, we talked about, video generation, and then there's a-- if you say there's a distinction between world models, what's your, what's your definition? How do you see the two?Ethan [00:48:53]: So disclaimer, I'm not going to debate, what is world model. Yeah. there are many definitions, so I'll just talk about my definition. Since I came from the multi-model, multi-model domain, so mainly talking from video. So world model is like real-time interactive long horizon videos. So there are three parts. so we-- let's talk about them one by one. So the so interaction, so we just, we just look at Facebook and neural computer. So the interaction part of it, so you, world model can allow you to interact with them through keyboard, mouse, and maybe also voice. So these all is-- all is a modality. You can, you can interact with the model, and the model should respond reasonably. Second part is real time. So once you, once, say, you move your mouse, if, say, the world model generate a game, how fast can the game respond? So if you're like professional CS: GO players- -my say, oh, you have to respond- He's beginner within sub ten milliseconds or- Yeah even less. So that's not most of the- No, sixty FPS. Let's go. Oh, three hundred FPS. Oh, five hundred FPS. Wait. okay, yeah. I didn't do the math, but yeah, okay. Uh- Yeah, three hundred FPS, that's a three millisecond. So you have to respond- Oh, s**t. Okay. YeahEthan [00:50:29]: within a millisecond. Most of the video models cannot do that. Yeah. And, but if you, say, if you have a video model that is, say, like a digital human, the response time might be more generous. Maybe typically, for real-time voice interaction, it's like two hundred millisecond. So that's, that's much more generous. But even two hundred millisecond is pretty, it is pretty tricky, ‘cause remember we mentionedEthan [00:51:01]: you have this, temporal compression coming from the VAE. So if you, if you don't compress the temporal dimension, your sequence length is going to explode. So if you want to have this real-time, real-timeness in your model, you have to do is one context problem. And the third part is long horizon, ‘cause we-- if you're not going to just play with, video games just, a few seconds, most video models only a few seconds. We're going to play with minutes, hours. The model have to be able to generate long-form content.Ethan [00:51:42]: So putting these three together, it's, real-time, long horizon interactive videos. I think the final state will be, for example, like a video, a video version of Playbook, where you can, you can interact with, a neural computer. You move your mouse, and you click on the generative interface, and it will reply to you through pixels- generating in real time. But getting there, it's, it's a very long way to get there. So one of the first step, at Grok Imagine, where I led a small world model team there, was to build video extension. So, video extension- it's the first step of interactivity. Yeah. It's, it's the first step. Yeah. So it's the first step- You have it here, video editing, yeah. Yeah. Yeah. So the first step is because, this unlocks long horizon videos. Typically, for most of the video generation models, you give it a prompt or an image as an initial frame. You generate video, that's it. That's just, one time, done. And some creators would try to, use the last frame as a first frame for the second video. It can-- sometimes it works, but if you do it a few times, it says the quality would decrease. And- It doesn't have that context- Yeah over the full video, so the temporal- Yeah, exactly. Yeah, ‘cause you only gave it the last frame, of course, right? Yeah. Exactly. And- it's actually a pretty fun hack. if you've seen like- Oh, no, he's saying something better. Yeah. And for example, like Vue, I remember Vue 3 has like a second context of the last video. It is slightly better than using the last frame, but it has the same problem-- similar problem that it, the quality would decrease. if you extend a few times to, one minute, the video quality would look much worse than the first video. Second, another problem is that the model doesn't have long-range knowledge of, what's happening before. Say, if they generate some dialogue, some, two people speaking, and their voice might change, over some time, especially if the second conditioning, it does not cover the previous context. So these are the core challenges. So the Grok Imagine video extension, it has historical context of all of the previous generated videos. It can, It has, it has the context of, who is speaking and what objects have appeared and everything, having that to generate the next video. So if we naively do this, you can imagine, just, put all of the previous history video tokens into the context. The context lens will easily explode. Especially for video models, that can be like a few, a few million context, I would imagine- context lens. Yes.Yeah.Swyx [00:54:58]: Let's run with that.Ethan [00:54:59]: for example, like in Cosmos, I think just five seconds of video is like a fifty K or sixty K number of tokens. So like if you do, if you do fifty second, that's a five hundred K tokens. If you do longer than that, easily explode. This long horizon, problem was the first step we're trying to solve world model. It turns out people, yeah, people love video extension. Like a lot, a lot of the creators love using video extension to create longer form videos. This is the part I liked that you have a, you have an intermediate step toward the final goal instead of just a straight shot to the final version very much.Swyx [00:55:48]: But I can see you have a strong vision of where we want to end up.Long Context, Redundancy, and Efficient Interactive VideoVibhu [00:55:51]: Does it seem like it's an efficiency issue? okay, we're at a few million tokens context,. If you draw the parallel to language models, we had very short context, two thousand, eight thousand, then, you scale it up one million, ten million. sure, there's effective context, but at the end of the day, it's just what's it worth? sure, there's a whole training data side. In video, it might be slightly easier ‘cause we have a hundred million token video, right? Just take a movie with the full context there. Like is this efficiency from an inference standpoint that like it's expensive, but we know how to solve it? Or like why is this not the approach? So like my broader point was on your second point of world models, you say it needs to be interactive and live, right? You should be able to play a game and see the interaction live. So one thing I see with research is a lot of what you actually serve is different than what you build, right? So we talked about distillation. You train big model, you distill it, you do quantization, speculative decoding. We do all this stuff to serve it efficiently. Should we not just have a solution, like a world model that can interact well, do inference optimization, serve it, distill it secondary, so make it real time after you solve it? So like a-- another parallel is say, continual learning, right? What we need is someone to solve it and show it works inefficiently. Give it a few years, people will make it efficient. Same thing with regular attention, right? It worked. Over a few years, people have different forms of attention, and we've scaled it to be efficient at log context,? So kind of two things there, right? One is it seems like it works. You've scaled it. Can we not just scale it a lot more efficiently over time? Do we need a separate approach if this works? And same thing with interaction, right? if we can get it done, like if we can solve some way that it works, we can solve making it more efficient from an inference standpoint later.Ethan [00:57:53]: that's actually a very good point. So in videos, there's actually a lot of redundancies. So we solve a lot of the pixel redundancy from VE, but there's more redundancy in long range and long horizon videos. Say, if a character appear in the first clip and then it disappeared, it only reappear at the end of the video, you probably don't need the-- the context, like in the middle of the generation. So you only need that character, where you need. So that's why, I helped build another feature. It's a reference video.Vibhu [00:58:36]: Is it here?Swyx [00:58:36]: is it the same model release or different one?Ethan [00:58:39]: It's a different one.Ethan [00:58:41]: You probably need to search onSwyx [00:58:43]: I'll find itEthan [00:58:43]: X reference to video.Ethan [00:58:46]: So reference video allow you to like upload up to seven images as condition and generate the video. Say, if like I want-- it can, it can be characters or objects or even scenes. Say like I want, I want condition on, Sean's selfie and holding a bladeSwyx [00:59:07]: We have a dogEthan [00:59:08]: or whatever.Swyx [00:59:08]: We put the dog in the thing.Ethan [00:59:09]: you can put them there and the video models will generate the video from and copies the context over. So that can solve a lot of the problems there, like the long context problem. It doesn't need to have a very long context, but it's-- I feel like it's an intermediate solution. The modelSwyx [00:59:29]: It's cheating.Ethan [00:59:30]: the model should be able to like selectively know, where should I draw the references. So say if I want to generate a movie, I generate it autoregressive, like a ten second at a time or something. And now this character appear, I can look back to where it first appear and, bring that back. Yeah, this one, I put the references. Yeah, that's, Optimus, Einstein myself, Annie.Vibhu [01:00:02]: Oddly enough, I used Grok Search to find it, and it pulled your LinkedIn post. But yeah we found it.Ethan [01:00:08]: Interesting.Vibhu [01:00:10]: ButxAI's Underrated Work, Culture, and WatermarkingSwyx [01:00:11]: this is a problem. This is not your fault, but like XAI doesn't communicate all this work that you do very well because they just have the model release and then that's it. But actually, these details are very good.Swyx [01:00:22]: As far as I understand, everything you just described is state-art, like no one else has done it.Vibhu [01:00:30]: A lot of-- yeah, I have a lot moreSwyx [01:00:32]: And then, and then you just put this blog post with the cookies. I'm this is not enough,?Swyx [01:00:37]: but I, obviously this is like the high level numbers that people want to know. But no, okay, soVibhu [01:00:42]: And I wonder, like part of that is also some labs don't share research into what happens. And ifSwyx [01:00:50]: No, but this is literally bragging about how good they are, right?Swyx [01:00:54]: Like, why would you not say that you are capable of extending with full context? this is not a secret sauce. This is like we did the work. yeah, I don't know.Ethan [01:01:02]: different labs have slightly different communication styles.Swyx [01:01:07]: Anyway, if anyone from XAI is listening we are always happy to help you tell your story. Yeah, okay, so you did references, and I think, I think kind of the point you're, you're making is it is sort of like a kludge, right? this is-- you can do seven, but what about 100?Swyx [01:01:23]: Right? Then you need a completely different thing.Ethan [01:01:26]: So I think it's-- this is, a mechanism to, select the context from the history, and you might not put the entire history into the context. for example, there's a paper called Frame Pack, which haveEthan [01:01:41]: a heuristic that the latest history, the last one second, I put the entire history, and the history before that, I would, compress it and makes the video smaller. So they follow this pattern, this build overall pattern that the maximum sequence length is fixed. So the further you are from the current frame, you have a smaller image. So this is just a heuristic. I think it can be more automatic. The model is aware like which history part of it can be select. So this part of the research is actually being actively, worked on by a lot of people. It's also quite interesting. I feel this is actually, this part of long context is a little bit ahead of the LLM part.Ethan [01:02:31]: So for example, like in LLMs, if you-- so contexts keep growing. Let's say if you call tool and the tool call history is extremely long, that's still in context, and keep growing, keep growing. Even if you switch the topic to something else, the whole context was there. There are some agentic harnesses that help you to, say, prune the tool results and, prune Like when you, when you query a file, only show like the top 200 lines or something. Those were very heuristic-driven.Swyx [01:03:08]: For listeners, we did a write-up on the cloud code, leak where there are eight different kinds of pruning, including like you prune the tool results and all that. So you can, you can read up on that kind of thing.Ethan [01:03:17]: I think, one breakthrough in continual learning might be like a way to automatically, manage its own context.Swyx [01:03:27]: These are all heuristics, and they will be replaced by machine learning.Ethan [01:03:30]: InterestinglyVibhu [01:03:32]: TheEthan [01:03:32]: the same thing is being researched in both LLMs and video models.Vibhu [01:03:36]: The interesting thing is also like in the paper you showed, it's actually happening at the model level, right? Compared to like language models, sure, we have base attention, but we'll do our own compression, we'll do our own pruning, which is separate from model error.Vibhu [01:03:49]: Eventually, it all just boils in, hopefully.Swyx [01:03:52]: I think this is a form of like attention, but like also know sort of reasoning attention. I feel like that's different than normal attention.Swyx [01:04:03]: Does that, does that make sense?Ethan [01:04:04]: It's, it's different in the sense that attention, not to mention, set sparse attention aside,

Demorou? Sim! Mas veio com uma surpresa especial e uma colab maravilhosa com a Jambu! O Charlando está de volta às plataformas de áudio com o especial queridinho do público: BOCETALKS!Nesse episódio, Mila, Luma e Débora falam sobre vir morar nos Estados Unidos, como é a comunidade LGBTQIA+ do Vale do Silício e como criar espaços para celebrar a brasilidade!Conheça mais da Jambu aqui no insta:Ingressos pro cinema Jambu aqui!

En el PPP de hoy:• Seguimos analizando todo lo que sabemos hasta ahora sobre el revolú en el DDEC.• Miguel Romero demanda a la AAA por la crisis del agua en el área metropolitana y deja caer comentarios que tienen a medio mundo preguntándose si está preparando una candidatura a la gobernación.• Además, un tribunal ordena el embargo de cuentas relacionadas a Elo Molina, añadiendo otro capítulo a una saga que sigue creciendo.En el chit chat:despidos en LUMA,el ambiente político post Mensaje de Estado,y los últimos rumores de Fortaleza.

- La Junta defiende a LUMA en tribunal federal de Boston Alcalde de San Juan va contra JGo al tribunal por la AAA - El Vocero Hoy senado decide si va o no al tribunal a obligar a entregar info de Familia y el caso de Baby - El Vocero No se gradúan suficientes para mantener una industria aeroespacial - El Vocero Regresa Luis Raúl como Ai - El Vocero Mañana detienen servicios de educación especial que llevan esperando pagos desde diciembre - Los Datos Wanda Vázquez dice que no pidió escoltas contrario a lo que dice la policía - El Nuevo DíaJefe de WIPR se va para tratar ser alcalde de Luquillo - El Nuevo Día DDEC dice que está todo en orden cuando llega nuevo jefe - El Nuevo DíaSacan directivos de Phoenix Fund - El Nuevo Día Abre nuevo hotel en Barranquitas - Primera Hora Trump tiene los peores números de popularidad desde que la encuesta se hace - Economist Noruega quiere entrar a acuerdo nuclear con Francia - ReutersBaja a 91 el petróleo - Oil Price Guerra por publicidad del gobierno es lo que hay detrás de contratos entre DDEC y OGPe - CPI #incluyeauspicio #UniversalLOS DATOS DEL DÍA• Brent: $96.30/barril (+2.13%)• Diésel wholesale: $3.60/galón• S&P 500: 7,520.36 (+0.02%) — cierre récord• Dow Jones: 50,644.28 (+0.36%) — cierre récord• Bono 10Y Tesoro: 4.48% (subiendo a 4.50% hoy)• Euro/USD: 1.1636• Gas natural (Henry Hub): $3.12/MMBtu (+3.6%)• Tasa hipotecaria 30Y: 6.51% — máximo en 9 meses

Bienvenue dans les débriefs de The Boys, saison finale ! On analyse le dénouement de la série caustique Prime Video, en compagnie de Lucile alias Luma qui a revu TOUT The Boys et TOUT Gen V, merci à elle.Bonne écoute et merci de votre soutien !Plus de Mymy HaegelDans la vie, je suis créatrice de contenu indépendante sur Internet ; vous pouvez me rejoindre sur Twitch, sur Instagram, sur Threads et sur Patreon. Je parle de féminisme et d'émotions, de jeux vidéo et de séries télé, de recettes de cuisine et de champignons, de bienveillance et de sel. Pour recevoir mes podcasts en avance et sans pub, abonnez-vous sur Patreon ! Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

1. Chats señalan supuesto fraude electoral en contienda de senadora Román. Chats entre empleados de la senadora del PNP salen luego de que ayer saliera un audio de su esposo en el que habla del supuesto fraude y alega infidelidades2. Cumbre entre JGO, TRS y Méndez pasa a último plano ante caos del componente económico del gobierno tras la renuncia del secretario del DDEC y 10 de sus ayudantes. La debacle del brazo económico del gobierno fue reseñada hasta por Bloomberg.3. Reaparece uno de los que faltaba entre los Brothers de Ricky Rosselló: Edwin Miranda en un “comeback” publicitario4. Portavoz PPD en el Senado, Luis Javier Hernández, da plazo de 24 horas a Familia para entregar información del personal de confianza de la secretaria de la agencia, Suzanne Roig Fuertes.5. ACLU demanda a la Policía por matar a un veterano6. Anuncian velatorio de Ismael Guadalupe en Vieques el domingo, 31 de mayo.7. Nueva directriz en Medicaid deja sin cubierta a más de 1,500 pacientes 8. Apagón deja a más de 100 mil clientes sin luz mientras LUMA hace relevos de carga9. Más de 200 asesinatos en lo que va de año: Vinculan un 80% al narcotráfico, disputas y venganza criminal10. La inflación se dispara hasta el 4.0% en abril debido al alza en el precio de la gasolina11. Israel pisotea la tregua y desata feroz campaña de exterminio contra Líbano12. Cuba advierte ante la ONU sobre catástrofe humanitaria debido a agresiones de EE.UU. Apela a la comunidad internacionalEste 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 comentarioUna 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/sandrarodriguezcottoTambién nos pueden seguir en:REDES SOCIALES: Facebook, X (Twitter), Instagram, Threads, LinkedIn, Tumblr, TikTokBLOG: En Blanco y Negro con Sandra http://enblancoynegromedia.blogspot.comSUSCRIPCIÓN: Substack, plataforma de suscripción de prensa independientehttps://substack.com/@sandrarodriguezcottoOTROS MEDIOS DIGITALES: ¡Ey! Boricua, Revista Seguros. Revista Crónicas y otrosEstas son algunas de las noticias que tenemos hoy En Blanco y Negro con Sandra.

PODCAST LAS NOTICIAS CON CALLE DE 26 DE MAYO - Vuelven a atacarse Irán y USA, dice el FT que Irán huele a debilidad de TrumpJGo v. Rivera Schatz hoy se reúnen los titanes Miguel Romero lanza anuncio de casi campaña - El Vocero Aumentan asesinatos en 25 más que el año pasado y esclarecimiento en 40% - El Vocero Bonistas se quejan de demandas contra LUMA y quieren paralizar sacarlos - El Vocero Fiscalía no quiere separar caso de CDobleta de los demás acusados - El Vocero 5 muertes en las cárceles y 18 en lo que va de año - El Nuevo Día Proponen amnistía para entregar armas gratis - El Nuevo Día Gobierno de PR no va a intervenir para que le devuelvan los fondos de energía solar - El Nuevo DíaEsperando contratos temporeros de energía de Power Expectations - Metro MMM hoy voy pa Martins BBQEl mejor y más sabroso pollo asado a la varita de Puerto Rico. Cocinando diariamente comida fresca saludable y sabrosa con un montón de complementos para escoger, arroces, habichuelas, verduras, mofongo,tostones,....MMMM....Esto si es criolloMartins BBQ, TOMANDO todas las medidas de salud y sabor para mantener la mesa boricua al dia con opciones para llamar, recoger o delivery por UBER Eats, y DoorDash.MMM Hoy como en Martin's BBQAsado...Jugoso...Sabroso#martinsbbq#incluyeauspicio Enfermero demanda para recuperar armas luego de caso Viqueira - El Nuevo Día Admiten Empleados de tribunales piden trabajar remoto y jornada reducida por costo de vida - Metro Trump ata acuerdos para Israel de otros países para finalizar acuerdo de Irán - Reuters Equipo de Irán estará en México para la copa mundial luego de Trump negarle que vivan en USA - Reuters El Papa se presenta contra la inteligencia artificial - Reuters China no deja viajar a talento top de Ai - Bloomberg Israel vuelve a atacar a Hezbollah en Líbano - NYT Texas decide la fuerza MAGA y de Trump entre Paxton y Cornyn - NYTIceland considera meterse a la Unión Europea ante amenazas de Trump contra Groenlandia - NYTBono Tesoro 30Y cerró el viernes en 5.06%, cerca del máximo post-2007 de 5.18%. Hipoteca 30Y subió de menos de 6% a 6.65% en tres meses (Freddie Mac reportó 6.51% esta semana).LOS DATOS DEL DÍABrent: $98.11/barril (+0.89%)Diésel mayorista EEUU: $3.74/galón (retail nacional ~$5.60)S&P 500: 7,473.47 (+0.37%)Dow Jones: 50,579.70 (+0.58%)Bono Tesoro 10Y: 4.51%EUR/USD: 1.1633Gas natural (Henry Hub): $2.95/MMBtu (+1.48%)Hipoteca fija 30Y: 6.51% • • Oro: $4,572.80/oz (+1.15%) · Bono Tesoro 30Y: 5.06%

In this episode, I sit down with Teri DeLucca for a candid conversation about what really happens behind the scenes in the speaking industry, from getting your first speaking engagements to negotiating fees, navigating “pay-to-play” conferences, and building the confidence to take bigger stages.Teri shares how she went from feeling intimidated and unsure if she belonged on stage to becoming an in-demand speaker traveling across the country. We talk openly about the realities many speakers face but few discuss publicly: speaking for free, undercharging, the gender pay gap in speaking fees, networking with other speakers, and learning to see speaking not as performance — but as service.We also dive into Teri's new AI platform, Luma, a human-centered AI “thinking partner” designed to support educators and leaders with communication, stress management, organizational culture, and decision-making. Plus, she shares exciting news about becoming a finalist for a grant funded through the Bill & Melinda Gates Foundation focused on women and AI innovation.If you've ever wondered:How speakers actually get bookedWhen to speak for free (and when not to)How to raise your speaking fees with confidenceWhat event organizers don't tell speakersHow AI is changing leadership and workOr whether you really have what it takes to speak……this conversation is for you.About Our Guest: Dr. Teri DeLucca is a developmental psychologist and the founder of Impact Early Education, which equips leaders with strategies that improve outcomes for children, teams, and businesses. She holds a dual PhD and previously worked as a research scientist specializing in teacher-child interactions and early intervention in neurocognitive and social-emotional development. Dr. DeLucca has successfully operated schools, reducing staff turnover, strengthening school culture, and driving sustainable growth. In addition to her work in education, she speaks nationally to corporate organizations and women's groups on personal leadership, communication, resilience, and coaching strategies. She is a published author, award-winning researcher, speaker, and recognized leader in the industry.About Us: The Speaking Your Brand podcast is hosted by Carol Cox. At Speaking Your Brand, we help women entrepreneurs and professionals clarify their brand message and story, create their signature talks, and develop their thought leadership platforms. Our mission is to get more women in positions of influence and power because it's through women's stories, voices, and visibility that we challenge the status quo and change existing systems. Check out our coaching programs at https://www.speakingyourbrand.com. Links:Show notes at https://www.speakingyourbrand.com/474/  Teri's website: https://impactearlyed.com/ Discover your Speaker Archetype by taking our free quiz at https://www.speakingyourbrand.com/quiz/Enroll in our Thought Leader Academy: https://www.speakingyourbrand.com/academy/ Connect on LinkedIn:Carol Cox = https://www.linkedin.com/in/carolcoxTeri DeLucca (guest) = https://www.linkedin.com/in/dr-teri-delucca-46b296200/  Related Podcast Episodes:Episode 338: Escaping the Expert Trap: From Academic Presenter to Sought-After Speaker with Teri DeLucca

PODCAST LAS NOTICIAS CON CALLE DE 22 DE MAYO - Trump destruye a la estadidad para PR - Fox News Dan concesiones en La Parguera en vez de demoler propiedades - El Vocero Salud y ASSMCA explican los casos como el de baby - El Vocero Línea aérea de España decide que no va a seguir volando a Cuba por ahora - El Vocero Muere Ismael Guadalupe, un verdadero patriota - El Nuevo Día Vienen cambios a sistema judicial - El Nuevo Día OGP pide 115 millones para pagarle a educación especial - El Nuevo Día SpaceX radica el IPO más grande de la historia - WSJOmán negocia con Irán un sistema permanente de peaje en el Estrecho de Hormuz- Bloomberg Beijing prohibió la importación de algunos chips de NvidiaMensaje de la gobernadora: Segundo Mensaje de Situación: $33,570 millones, salida de LUMA y 3,000 MW - Primera HoraRepublicanos empiezan a dejar de apoyar a Trump en cuanto a costo de vida - Reuters Siempre innovando y con los mejores beneficios, MCS Personal Directo te ofrece cubiertas accesibles para que cuides de tu salud y la de los tuyos.Con una amplia red de proveedores de más de 15,000 médicos de libre selección. Reembolso de hasta $40 mensuales por membresía a un gimnasio o por un entrenador personal debidamente certificado. Asistencia en el hogar para servicios de cerrajería, plomería y electricidad de hasta $350 por evento hasta 4 veces al año.¡Únete HOY a la gran familia de MCS!¡Salud que completa tu vida! Llama al 787.945.1259 y oriéntate.Endoso pagadoApuestas actuales dicen quién gana senado federal: Republicanos 53% / Demócratas 47%LOS DATOS DEL DÍA▸ Brent crudo: $107.20/barril (+2.1%)▸ Diésel al detal EE.UU. (AAA): $5.66/galón▸ Diésel mayorista nacional: $3.93/galón▸ S&P 500: -0.45%▸ Dow Jones: -0.48%▸ Nasdaq: -0.50% | Russell 2000: +2.56%▸ Bono 10Y del Tesoro: 4.57%▸ Euro/USD: 1.1627▸ Gas natural Henry Hub: $3.02/MMBtu (+0.62%)▸ Tasa hipotecaria 30Y: 6.63%#mcs#incluyeauspicio 

Are your AI agents truly safe to deploy at scale? In this episode, two founders come together to tackle one of the most urgent questions for every AI startup and enterprise today: how do you build AI systems you can actually trust? Hosted by Preethy Padmanabhan and the 10x Growth Strategies community, this panel brings together Tatyana Mamut (WayFound) and Prukalpa Sankar (Atlan) - two founders redefining how enterprises govern, monitor, and scale AI responsibly. In this episode, we discuss: How supervisor/guardian agents help enterprises reach 3-nines and 5-nines reliability Real-world example: a customer service AI agent secretly offering refunds with perfect guardrails in place Why sampling logs isn't enough and why 100% monitoring is now a legal requirement How the OpenAI and Workday lawsuits are reshaping enterprise AI accountability How to architect AI-ready data systems with lineage, traceability, and explainability built in How enterprises across the US, Germany, and Australia are navigating evolving AI regulation Hybrid deterministic + AI system design for production-grade agents Whether you're an entrepreneur, a corporate executive, or a venture capital investor evaluating AI startup opportunities - this conversation on 10x growth, scaling up, and responsible AI is unmissable. 10X Growth Strategies is a community co-founded by Preethy Padmanabhan, built to bring together founders, investors, and executives for meaningful connection and growth. With thousands of members across LinkedIn, Luma, and Partiful, the community hosts monthly events on timely topics in tech, AI, and entrepreneurship. Chapters 0:00 - 3:32 - Introduction 3:32 - 7:59 - Understanding Enterprise Trust in AI 7:59 - 13:47 - Legal Challenges and Compliance in AI 13:47 - 19:00 - Architecting AI systems for Compliance 19:00 - 21:52 - Benefits of Working with this New Technology 21:25 - 25:21 - Proactive vs Reactive Compliance Strategies 25:21 - 41:35 - Audience Interactions 41:35 - 44:04 - What is your Leadership Principle? Connect:  Website: https://grow10x.podbean.com/ Luma: https://lu.ma/10xgrowthstrategies

Amit Jain, cofounder and CEO of Luma AI, joins South Park Commons Partner Finn Meeks to explain why the most defensible AI companies aren't just building tools—they're developing systems that can understand and simulate the world.Amit traces Luma's path from a free 3D capture app designed to gather training data, through an early bet that video generation was finally viable, to the unified model architecture powering Luma Agents today. He explains why most AI products still break at execution, why foundation labs blur the line between product and research, and why they are the blueprint for the companies of the future.Amit Jain: https://www.linkedin.com/in/gravicle/ Finn Meeks: https://www.linkedin.com/in/finn-meeks/ South Park Commons: https://www.linkedin.com/company/southparkcommons/Apply to SPC: https://www.southparkcommons.com/applyChapters:(00:00:00) - Apple's LiDAR work seeded Luma's founding vision (00:05:05) - A free app was secretly a data collection operation (00:06:49) - H100s made video generation stop feeling impossible (00:10:00) - Most definitions of "world model" are simply wrong (00:14:37) - Why unified models beat pure video scaling (00:20:03) - Luma Agents and the end-to-end creative production loop (00:23:00) - The knowledge gap no model can close alone(00:29:34) - Blowing James Cameron's mind in five minutes (00:31:16) - Why consumer video generation failed—and who it's actually for (00:35:23) - Product and research aren't two things at a foundation lab

PODCAST LAS NOTICIAS CON CALLE DE 20 DE MAYO - Jefe de OGPe que se fue alegan lo fueron por traqueteo y hay guerra por agencias de publicidad - Primera Hora No hay acuerdo para los hermanos de Georgie Navarro para declararse culpables por fraude de Covid - Primera Hora Trump barre Kentucky: cae Massie, su "peor crítico republicano" - Punchbowl News Plantean eliminar el IVU en comida preparada ante la inflación - El Vocero Le deben 100 millones a maestros por carrera magisterial - El Vocero Estudiantes de Automeca ayudarían a inspecciones de autos con DACO - Primera Hora COR3 pedirá a alcaldes que hagan obras porque no encuentran empresas que puedan dar los servicios - El Nuevo Día Dicen que hoy acusarán a Raúl Castro - Axios •    Si tu compañía de teléfono te está dando razones para irte, T-Mobile te da hasta $1,200 por línea para que no lo pienses más.•    Porque ahora puedes traer tu número y el teléfono que ya tienes, cambiarte a T-Mobile y recibir hasta $1,200 por línea al activarte en su mejor plan.•    sea, no tienes que dejar tu teléfono. Te quedas con tu equipo, haces el switch y puedes recibir hasta $1,200 por línea.•    Además, te activas con beneficios que otros no te dan, como hotspot ilimitado, streaming incluido con Netflix, Hulu y Apple TV, y conexión en más de 215 destinos con internet de alta velocidad y textos ilimitados sin pagar extra.•    Estamos hablando de más valor, más beneficios y una mejor experiencia móvil.•    Todo conectado a la mejor red móvil en Puerto Rico.•    Así que, si tu compañía actual ya no te convence, este puede ser el momento de hacer el cambio.•    Porque esto no pasa todos los días. T-Mobile te paga hasta $1,200 por línea por quedarte con tu teléfono, con más beneficios, más valor y todo conectado a la mejor red móvil en Puerto Rico.•    La señal está clara. Cámbiate hoy a T-Mobile.Viene o no viene el cable submarino, ya está en la AAPP - El Nuevo Día Hormuz cumple casi 3 meses cerrado y la inflación llegó al punto de quiebre — la gasolina, el diésel y las hipotecas siguen subiendo - Economist JGo da el Mensaje de Estado este jueves con presupuesto de $33,570 millones, mientras LUMA pelea por subir el cargo fijo residencial de $4 a más de $40.Gobiernos extranjeros botan bonos del Tesoro — notas de 10 años se van a 4.62% y empuja hipotecas a 6.66% Xi recibe a Putin en Beijing y le pide a EE. UU. "urgencia máxima" para acabar la guerra en Medio Oriente.Gobernadora pide ir en una sola voz a pedir más para Medicaid, pero Rivera Schatz iba a parte - El Nuevo Día Trump saca demanda a cambio de que el IRS nunca lo pueda investigar, ni a él ni a sus hijos  - WAPA.tv Buscan la estadídad para PR sin proyecto de estadidad - El Nuevo Día Alcalde de Cataña molesto se va de conferencia cuando le cuestionan sobre sus gastos y personas vinculadas - Jay Fonseca Demandan a Phoenix Fund por 285 millones - El Nuevo Día Cooper Vision detiene expansión, dicen que solo por ahora  - El Nuevo Día Noticel dice que no tiene dispensa ética la jefa de Compras, aunque ella afirmó que sí Gobernadora veta medida para obligar a que todas las compras del gobierno tengan que estar publicadas - El Vocero Plantean cambiar la zona marítimo terrestre en el Senado, proyecto ya fue aprobado enlace Cámara - Noticel Propane Educación federal que casos de discapacidad estudiantil pasen a Salud o Trabajo - Noticel Negociado de Energía volverá a evaluar tarifa base de energía tras impugnaciones - Metro • Brent: $111.22/barril (−0.79%)• Diésel retail EE. UU.: $5.596/galón (semana del 18 mayo)• S&P 500: 7,353.61 (−0.67%) — tercera sesión consecutiva de pérdidas• Dow Jones: 49,363.88 (−0.65%, −322 pts)• Bono 10Y del Tesoro: 4.62%• Euro/USD: 1.1612 (−0.39%)• Gas natural (Henry Hub): $3.13/MMBtu (alta de 7 semanas)• Hipoteca 30Y: 6.66% (subiendo por la guerra en Irán)#tmobile#incluyeauspicio 

PODCAST LAS NOTICIAS CON CALLE DE 13 DE MAYO - 102 billetes el barril del WTI y 108 billetes el Brent - Oil PriceOperativo en dos residenciales, en Virgilio Dávila y las Gardenias, diligencian 3 órdenes de allanamiento y 4 arrestos - TelemundoPR Venezuela dice que NO a la estadidad dice Delcy Rodríguez - Primera Hora Trump planifica discutir si sigue vendiéndole armas a Taiwán o no en cumbre de China - Financial Times No viene cambio en vivienda de residenciales aunque cambie regla federal de solo poder vivir allí 2 años - El Vocero Arturo Deliz se defiende tras referirse a Justicia al cooperador que denunció todo el esquema - Jay Fonseca Premium Junta va a tener que aclarar metodología en la que consigue el dinero y que no - El Vocero Zar de energía sigue diciendo que LUMA se va a finales de este año - El Vocero Legislatura vuelve a citar a componente fiscal del gobierno - El Vocero Proponen mayoridad sea a los 18 años en PR en vez de 21 como es ahora - El Vocero CESCO va a tener licencia de los carros además de la de conducir - El Nuevo DíaPR está cortito por 400 millones en recaudos en comparación dice Junta - Metro  República Dominicana recibirá deportados de otros países desde USA - Metro Mi gente, me acaba de llegar una noticia de última hora. T-Mobile acaba delanzar un incentivo de hasta $1,200 por línea para los que se quieren cambiar decompañía.Sí, escuchaste bien. Te pueden pagar hasta $1,200 por línea cuando traes tunúmero y el teléfono que ya tienes de tu compañía actual.Esto aplica al cambiarte a T-Mobile y activarte en su mejor plan, ExperienceBeyond, con beneficios que otras compañías no te dan. Estamos hablando de hotspot ilimitado, streaming incluido de Netflix, Hulu yApple TV, y conexión en más de 215 destinos con internet de alta velocidad ytextos ilimitados sin pagar extra.Así que si tu compañía te ha dado razones para irte, T-Mobile te está dandohasta $1,200 por línea para que hagas el switch hoy mismo. Y recuerda, T-Mobile es la mejor red móvil en Puerto Rico según Ookla. La señal está clara. Trae tu número y tu teléfono, cámbiate a T-Mobile y llévatehasta $1,200 por cada línea.Empresas de hijos de Trump piden 400 millones para mina en Kazakhstan, ya tenían 1.6 billones Regresan a PR los clonadores de tarjetas - Primera Hora No hay suficientes muelles en PR para mercancía tras orden de Guardia Costera - El Nuevo Día Zar de Energía dice que la semana que viene tendrán barcazas de energía desde San Juan - El Nuevo Día Presupuesto final será presentado el viernes entre Junta y gobierno de JGO - El Nuevo Día Siguen operativos para evitar que se propague el hantavirus - El País Trump aterriza en Beijing para cumbre con Xi JinpingInflación EEUU sube a 3.8% en abrilTrump perdiendo el control del partido republicano tras Thune descartar quitar erudita federal, Johnson dice que no a proyecto de Vivienda, no va el proyecto de ballroom de Trump y Carolina del Sur irse contra redibujar distritos en Gerrymandering - Punchbowl News Inflación de tech con el "memory crunch" global y los costos para el consumidor con precios de chips → laptops, celulares, neveras inteligentes más caras → otra capa de inflación Brent:~$110.43/barril (intradía martes)WTI futures:$101.19 (-1.0%)S&P 500:7,400.96 (-0.16%)Dow Jones:49,760.56 (+0.11%)Nasdaq:26,088.20 (-0.71%)Bono 10Y Tesoro:4.439%Tasa hipotecaria 30Y:6.37% (Freddie semanal) / 6.46% (diario)CPI EEUU abril:+3.8% interanual, +0.6% mensualGasolina EEUU prom.:$4.50+/galón (+44% año/año)Gas regular PR (mayorista):~$1.20–$1.23/litro#tmobile#incluyeauspicio

Patellar Luxation Reimagined: Shifting the Treatment Paradigm with Dr. David DycusPatellar luxation is one of the most commonly diagnosed orthopedic conditions in dogs—but are we thinking about it all wrong?In this episode of the PetAbility Podcast, we revisit this familiar condition through a very different lens with veterinary orthopedic surgeon David Dycus, DVM, MS, CCRP, DACVS-SA. Rather than focusing on the basics of diagnosis and grading, Dr. Dycus shares emerging insights that challenge conventional thinking about what truly drives patellar instability and dysfunction - and the profound arthritic changes that this alignment mismatch may lead to over time -  by treating each case individually.Together, we discuss: What are the limitations of the traditional patellar luxation treatment model   Why eliminating grading of patellar luxation offers a broader perspectiveHow alignment of the proximal limb (femur) and distal limb (tibia) affects patellar stability and why 3D imaging via CT scan is key How biomechanics and functional movement are reshaping treatment   considerations How surgical decision-making is evolving through a patient-specific approach How the shift toward more non-traditional surgical corrections is resulting in   better short-term and long-term prognosis Why collaborative care, rehabilitation & conditioning are more vitally important for best outcomes The future of patellar luxation management in veterinary medicineThis episode is ideal for veterinarians, rehabilitation professionals, veterinary students, breeders, trainers, and dedicated pet owners interested in the future of canine orthopedic care. If you thought patellar luxation was “just a minor knee problem,” this conversation may completely change your perspective.Click for more information about Dr. Dycus and his practice, Fusion Veterinary Orthopedics. Follow Dr. Dycus on Instagram and Facebook.DisclaimerVitalVet.org, a platform for all things related to pet rehab - product information, education, and resources abound! MedcoVet (show sponsor)  Luma - advanced red-light therapy therapy that puts healing in the hands of the pet owner in the comfort of home! Use Promo Code PETPOD22  to receive discounts from our affiliates!Jope - science-backed supplements Ruff Ramp - a safe alternative to stairs Optimum Pet Vitality - education/coursework  Dr. Buzby's -Toe Grips to prevent slipping, Encore Mobility joint supplement, and Brain Boost cognitive supplement. Using this link donates 20% to PetAbility Calm & Cozy Cat Wrap - a must-have for anybody working with catsHedzUpPets Watercollars – save your dog from drowni...

PODCAST LAS NOTICIAS CON CALLE DE 11 DE MAYO -  7 asesinatos en el weekend Escándalo contra ex jefa de OCIF de multar por destruir al ex de su BFF - Jay Fonseca PR Genera pide acelerar gasificación de sistema energético - El Nuevo Día Narcos vuelven al Caribe tras casos de Venezuela y operativos de Trump - El Vocero No hay agua en San Juan por culpa de los anteriores - El Nuevo Día Se reúnen hoy senadores PPD con fiscal de justicia en caso de Suzzanne Roig - Primera Hora JGo no sabe cuándo daría mensaje de Estado - El Nuevo Día UPRM extiende semestre tras huelga y protestas - El Nuevo Día Por qué no hay casos federales de corrupción radicándose en PR, fiscales federales nos dicen - El Nuevo Día Sube agricultura como parte de economía en casi 6%, pero es solo 1% de la economía - El Vocero Empresas de petróleo del mundo hacen más dinero que nunca - El Vocero MMM hoy voy pa Martins BBQEl mejor y más sabroso pollo asado a la varita de Puerto Rico. Cocinando diariamente comida fresca saludable y sabrosa con un montón de complementos para escoger, arroces, habichuelas, verduras, mofongo,tostones,....MMMM....Esto si es criolloMartins BBQ, TOMANDO todas las medidas de salud y sabor para mantener la mesa boricua al dia con opciones para llamar, recoger o delivery por UBER Eats, y DoorDash.MMM Hoy como en Martin's BBQAsado...Jugoso...SabrosoPermiten casa de reptiles, pero no va a ser suficiente para evitar epidemia de invasores - El Nuevo Día No se puede depender de FEMA, advierten que hace falta seguro privado nacional - El Nuevo DíaContrato de LUMA y su posible cancelación será en tribunal de PR - El Vocero Se atrasa de nuevo el presupuesto del gobierno de PR - El Vocero Brote de norovirus y hantavirus pone en preocupación a población tras llegada de cruceros - El Vocero Se curan o no se curan las enfermedades crónicas - El Nuevo Día 3 muertes en la cueva del indio incluyendo un buzo Alcalde de Toa Baja anuncia resort municipal en canales de agua de Levittown - Primera Hora Gerrymandering vuelve a destruir a demócratas y le da break a republicanos - El Nuevo Día Arranca el "Cheque Para Ti": $554 millones antes de fin de mesLa llegada de Trump a Pekín el jueves es la noticia de la semana - FTTrump dice que no a propuesta de Irán y subieron dramáticamente los precios del petróleo otra vez LOS DATOS DEL DÍABrent crude: $103.80/barril (+2.5%) — sube otra vez tras rechazo de Trump a propuesta iraníDiésel mayorista PR (DACO): ~$1.20–$1.36/galón mayorista (precios al consumidor siguen presionados)S&P 500: 7,398.93 (+0.84% el viernes — récord histórico)Dow Jones: 49,609.16 (+0.02%)Nasdaq: 26,247.08 (+1.71%)Bono 10Y del Tesoro: 4.38%Euro/USD: ~1.08Gas natural Henry Hub: $2.78/MMBtu (TTF Europa: €44.21/MWh)Tasa hipotecaria 30Y: 6.33%–6.45%Apuestas - ¿Demócratas ganan la Cámara en 2026?▸ Odds: ~83% Sí (Polymarket), 80% (Kalshi) ▸ Cambio 24h: bajó algo tras decisiones SCOTUS sobre redistribución▸ Por qué importa: Si los demócratas toman la Cámara, cambia el balance para PR (estatus, fondos federales, Junta Fiscal).#martinsbbq#incluyeauspicio

1. Qué bello en Puerto Rico:Legislador PPD Domingo Torres revela el “Croqueta Fee” y el “Cabro grande fee”en OCIF2. Luma anuncia relevos de carga3. Mujer arrestada tras presuntamenteapuñalar a una octogenaria en San Juan4. Gobierno anuncia inversión de sobre$171 millones en 41 residenciales públicos5.  Sobre el caso de cuerposcalcinados en escenas criminales, la Policía asegura este tipo de modalidad noes común en el bajo mundo y podría responder a intentos de intimidación odestrucción de evidencia6. Narcos retoman rutas habituales enel Caribe tras captura de Nicolas Maduro7. Junta insiste en incumplimientospresupuestarios mientras extiende el proceso fiscal del 20278. Hablemos, otra vez, de la compra devotos en las cárceles9. El alza en el precio de la gasolinavuelve a aumentar la demanda por el trabajo remoto10.            Se extiende el limbo en la guerra:Trump no acepta los acuerdos de Irán y el alto al fuego se desmorona 11.            China confirma las fechas de lavisita de Estado del presidente Donald Trump a Pekín del 13-15 de mayo 12.            Hablemos del mundial de fútbolEste 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. 

En el PPP de hoy:• El gobierno consigue una importante victoria judicial contra LUMA en el caso del removal.• Estudiantes de la UPR le responden directamente a la presidenta Zayira Jordán y explican por qué la comunidad universitaria sigue molesta.• Y en el chit chat: el live, la supuesta mano de Andy… y el revolú internacional de Speed, los bots y República Dominicana.-

En este nonagésimo primer episodio del ¡Bipartidismo Strikes Back! (una producción del #PodcastLaTrinchera), Christian Sobrino y Luis Balbino discuten la aprobación de la Junta de Supervisión Fiscal del programa de alivio contributivo de la Gobernadora para este año fiscal, la decisión de la Juez Swain de devolver la impugnación judicial del contrato de LUMA a los tribunales estatales, la controversia levantada por la publicación de un artículo del medio independiente ProPublica sobre un alegado esquema de drogas por votos en las cárceles de Puerto Rico, el legado en Puerto Rico de Rexford G. Tugwell, la oposición de la Junta de Planificación a la Reforma de Permisos de la Administración, el último informe sobre gastos contributivos publicado por Espacios Abiertos, la decisión del Tribunal Supremo de los Estados Unidos sobre la Sección 2 del Voting Rights Act en el caso Louisiana v. Callais y mucho más.Este episodio es presentado a ustedes por:- San Juan Lincoln, donde encontrarán una exclusiva colección de vehículos de lujo diseñados para satisfacer todas sus expectativas. Allí descubrirán la presencia imponente de la Navigator, la elegancia dinámica de la Aviator, la sofisticación refinada de la Corsair y el diseño moderno de la Nautilus. Pueden visitarlos en la Avenida Kennedy en San Juan para explorar lo que una SUV de lujo debe ser. Su equipo está listo para ofrecerles una experiencia inigualable. Para más información u orientación, llamen al 787-331-5023.- La Tigre,  el primer destino en Puerto Rico para encontrar una progresiva selección de moda Italiana, orientada a una nueva generación de profesionales que reconocen que una imagen bien curada puede aportar a nuestro progreso profesional. Detrás de La Tigre, se encuentra un selecto grupo de expertos en moda y estilo personal, que te ayudarán a elaborar una imagen con opciones de ropa a la medida y al detal de origen Italiano para él, y colecciones europeas para ella. Visiten la boutique de La Tigre ubicada en Ciudadela en Santurce o síganlos en Instagram en @shoplatigre.Por favor suscribirse a La Trinchera con Christian Sobrino en su plataforma favorita de podcasts y compartan este episodio con sus amistades.Para contactar a Christian Sobrino y #PodcastLaTrinchera, nada mejor que mediante las siguientes plataformas:Facebook: @PodcastLaTrincheraTwitter: @zobrinovichInstagram: zobrinovichTikTok: @podcastlatrincheraYouTube: @PodcastLaTrinchera

Descrição Episódio - Diversilíngua /* Estilos simples para melhor visualização em navegadores - não afetam o Spotify */ body { font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, Helvetica, Arial, sans-serif; line-height: 1.6; max-width: 800px; margin: 20px auto; padding: 20px; background-color: #f9f9f9; color: #121212; } .spotify-description { background-color: white; padding: 20px; border-radius: 12px; box-shadow: 0 2px 8px rgba(0,0,0,0.1); white-space: pre-wrap; /* Preserva quebras de linha */ font-size: 16px; } a { color: #1DB954; /* Cor verde do Spotify */ text-decoration: none; } a:hover { text-decoration: underline; } hr { margin: 20px 0; border: 0; border-top: 1px solid #e0e0e0; } Imigrar parece incrível nas redes sociais — mas a realidade pode ser muito diferente. Neste episódio, reajo a dois vídeos da BBC News Brasil sobre imigração brasileira e conto a minha própria experiência como engenheiro de software brasileiro vivendo em Portugal.

Broecking, Maxi www.deutschlandfunkkultur.de, Fazit

Broecking, Maxi www.deutschlandfunk.de, Kultur heute

Pod Crashing episode 463 with podcaster and ya author John R Miles from the podcast Passion Struck… A heartwarming story, it extends his mission to create a ripple effect of mattering across generations.  The book reminds people of all ages that kindness is not a small thing …it's a force.  Following the journey of a small bunny with big dreams, Luma gradually realizes her voice and stories matter, helped by a memorable menagerie of fellow animal mentors. 

Bienvenue dans les débriefs de The Boys, saison finale ! On se penche sur une première moitié plutôt décevante, en compagnie de Lucile alias Luma qui a revu TOUT The Boys et TOUT Gen V, merci à elle.Bonne écoute et merci de votre soutien !Les débriefs de The Boys saison 5Luma, talentueuse passionnée de pop culture et notamment des œuvres d'Eric Kripke, co-showrunner de The Boys, m'accompagne pendant les débriefs de The Boys !Après des épisodes réguliers sur ma chaîne Twitch, le replay podcast sera toujours disponible en avant-première sur Patreon, puis ne sort en public (podcast & YouTube) que six jours plus tard ! Jdcjdr.Plus de Mymy HaegelDans la vie, je suis créatrice de contenu indépendante sur Internet ; vous pouvez me rejoindre sur Twitch, sur Instagram, sur Threads et sur Patreon. Je parle de féminisme et d'émotions, de jeux vidéo et de séries télé, de recettes de cuisine et de champignons, de bienveillance et de sel. Pour recevoir mes podcasts en avance et sans pub, abonnez-vous sur Patreon ! Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

Hoje Lucas, Ribeiro e Luma se despedem dos ouvintes, no episódio final do Bocadinhas!⁠⁠⁠⁠⁠⁠⁠Edição: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Daniel Bayer⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Arte da Capa: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Daltrinador⁠⁠

Pod Crashing episode 463 with podcaster and ya author John R Miles from the podcast Passion Struck… A heartwarming story, it extends his mission to create a ripple effect of mattering across generations.  The book reminds people of all ages that kindness is not a small thing …it's a force.  Following the journey of a small bunny with big dreams, Luma gradually realizes her voice and stories matter, helped by a memorable menagerie of fellow animal mentors. Become a supporter of this podcast: https://www.spreaker.com/podcast/arroe-collins-unplugged-totally-uncut--994165/support.

PODCAST LAS NOTICIAS CON CALLE DE 27 DE ABRIL DE 2026 - Otro intento de matar a Trump Placa de places está destruyendo los ríos de PR - El Vocero Irán ofrece a Trump un negocio para reabrir estrecho de Hormuz, pero queda fuera el programa nuclear - CNBCTrump le mete sanciones a China por utilizar petróleo de Irán - Bloomberg LUMA y Genera pelean por fondos que no le dejaron subir en gastos - El Nuevo Día Gobernadora lleva equipo de trabajo y le quita celulares y equipos para reunión de todo el gabinete - Jay Fonseca PR A votación para eliminar la junta del salario mínimo - El Nuevo Día Guardia de seguridad mata a hombre de 68 con arma blanca tras supuestamente abalanzarse en su contra - El Nuevo Día LUMA dice que vienen serios cambios gerenciales y administrativos tras denuncias de que han paralizado obras - El Vocero Genera confirma que contrató a Palantir, una de las empresas más controversiales del Ejército de USA - El Vocero Traqueteos en la AMA, sacan a dos empleadas - El Vocero Extienden dos meses más eliminar la ley de cabotaje para petróleo y Gas Natural - El Vocero Disminuye la construcción en PR según el indice, bajó 1.2% - El Vocero Consumidores compran carros ahora financiando sobre 7 años - El Vocero Piden nueva carta de derechos de víctimas del crimen - El Vocero En problemas la secretaria de familia tras petición de info del Senado - El Vocero No saben lo que van a hacer para atajar costo de combustible dice portavoz de Fortaleza - El Vocero Familia promedio va a necesitar 250 dólares para el verano de 2026 versus los de 2025 - Primera Hora El mantengo de los millonarios en PR - El Nuevo Día Contralora quiere que todos los contratos se hagan a través de nueva plataforma - El Nuevo Día Exigen que se le entreguen documentos contributivos de Sagardía al Senado - El Nuevo Día Supremo de PR regaña a dos abogadas por usar AI sin revisar - El Nuevo Día PR ha tenido baños termales en otros sitios, pero solo quedan los de Coamo - El Nuevo Día MMM hoy voy pa Martins BBQEl mejor y más sabroso pollo asado a la varita de Puerto Rico. Cocinando diariamente comida fresca saludable y sabrosa con un montón de complementos para escoger, arroces, habichuelas, verduras, mofongo,tostones,....MMMM....Esto si es criolloMartins BBQ, TOMANDO todas las medidas de salud y sabor para mantener la mesa boricua al dia con opciones para llamar, recoger o delivery por UBER Eats, y DoorDash.MMM Hoy como en Martin's BBQAsado...Jugoso...Sabroso#martinsbbq #incluyeauspicio 

Disasters can strike without warning—but preparation can save lives. In this episode, we sit down with disaster preparedness expert, “Disaster Patrick,” to talk about how pet parents can protect their animals before, during, and after an emergency. From building a simple pet disaster kit to creating an evacuation plan that actually works, Patrick shares practical, real-world advice every pet owner should hear.

Midjourney finally dropped v8.1, so Drew and Rory did what any responsible adults would do: generated way too many images, argued with style codes, stress-tested text, and immediately started asking whether the edit model is the part that actually matters.In episode 66 of Midjourney Fast Hours, the boys dig into why Midjourney v8.1 feels way better than v8, where it still falls short, and why this release feels less like a victory lap and more like Midjourney finally arriving at the version v8 probably should've been in the first place. They get into faster generations, native 2K output, mood boards, prompt depth, describe, personalization profiles, text rendering, image weight, --exp behavior, old v6 style-code weirdness, and the growing sense that the real make-or-break feature is still the edit model.They also get into how Midjourney stacks up against tools like Nano Banana, Grok, Reve, and Luma, why image generation still feels fragmented across platforms, and whether Midjourney should even bother chasing video or just go all-in on images, editing, and control.Then, because this is still Midjourney Fast Hours, the episode somehow ends with a deeply important discussion about custom Mac folder icons.If you care about Midjourney v8.1, prompting strategy, style references, AI image workflows, generative art tools, or where Midjourney is actually headed next, this one's got the goods.---⏱️ Fast Hour00:00 Intro and v8.1 arrives01:05 Is v8.1 actually better than v8?04:09 The edit model is the real test06:22 Should Midjourney even chase video?10:07 v8.1 needs more prompt depth12:07 Mood boards feel usable again14:28 Testing the new describe tool21:00 Personalization profile matters most22:09 Text tests and object recognition23:57 “Photo” vs art and stylize tests29:54 Why v8.1 feels a bit like v630:43 Old style codes hit differently now42:08 --sv7 issue and style-code confusion45:47 Missing parameters and what still works47:26 Hidden text tests and image weight49:57 --exp tests and behavior shifts52:35 Grid view and the alpha site54:50 Office Hours, 8.2, and edit timing01:03:27 Custom Mac folder icon detour01:09:01 Wrap-up and parting nonsense

During my meditation I had a beautiful image come to me of the original 'Seed of Light' that we are. It was so powerful. And in our life journey, we get separated from this original Light that we are, but the real aim of the game is to return to it. I share some points on what's turning our light off (nervous system desregulation, chronic inflammation, cellular 'rust' & more). For me, this vessel from LumiVitae that I keep talking about, turns 'water into wellness' and helps restore our original, optimal functioning of the body. It's your last chance to get LUMA (the new, fully patented vessel) at the pre-launch price. Message me. I also mentioned the Zinc Spark - the spark of light that happens when the sperm fuses with the egg. Science has proven this. (https://www.instagram.com/reels/DDraIEJJD5u/) https://www.instagram.com/karenmaloney_/ https://spiritinform.lumivitae.com/  https://www.karenmaloney.com/ support@karenmaloney.com    

A Vampire and a Pale Crawler are the subjects in this week's midweek paranormal double interview episode from South Bend, Indiana. Luma joins us to share a sighting she had in the early morning hours only a few weeks ago. It shook her so bad she thought she was going crazy. Vaughn then tells us about an event that he can't forget. One evening while on security patrol he narrowly avoided hitting what sounds like could be a Pale Crawler. Special thanks to 103.9 The Bear for sharing our Tik Tok short https://www.tiktok.com/t/ZP8gSgAPL/ and to everyone who's come forward with their South Bend stories the last couple of weeks. 103.9 The Bear on YouTube: https://www.youtube.com/@1039thebearPlease like, hype, comment, share and subscribe if you enjoyed this episode. Join us on Patreon https://www.patreon.com/fromtheshadows   From The Shadows Podcast is a program where we seriously discuss the supernatural, paranormal, cryptozoology, and ufology. Anything that cannot be rationally explained has a platform for discussion on the From The Shadows Podcast.  Follow us on:TikTok - https://www.tiktok.com/@fromtheshadowspodcastFacebook - https://www.facebook.com/fromtheshadowspodcastInstagram - Shane Grove - https://www.instagram.com/shanegroveauthor Instagram - Podcast - https://www.instagram.com/fromtheshadowspodcast#Vampire #PaleCrawler #Paranormal #Cryptid #Rake #Cryptids

The Super Mario Galaxy Movie - Ep. 391 Wahoo! Mama Mia! This week on Normies Like Us, we're blasting off into the cosmos to talk about the SMASH hit movie, The Super Mario Galaxy Movie! Join us as we discuss all things inspired by Super Mario Galaxy and Super Mario Galaxy 2—from gravity-defying set pieces and dazzling worlds to the emotional story of Rosalina and her Lumas, only on Normies Like Us! Let's-a-Go! Click-a-Bellow! Insta @Normies_Like_Us https://www.instagram.com/normies_like_us/ @jacob https://www.instagram.com/_j__a___c___o__b_/ @Mike_Has_Insta https://www.instagram.com/mike_has_insta/ https://letterboxd.com/BabblingBrooksy/ https://letterboxd.com/hobbes72/ https://letterboxd.com/mikejromans/

PODCAST LAS NOTICIAS CON CALLE DE 13 DE ABRIL DE 2026 -  Precio del Gas Natural sube 80% en el mercado internacional - Reuters Irán amenaza que todo barco que se acerque a sus costas sin autorización recibida terribles consecuencias - NYTJusticia recomienda un FEI para Ciary por traqueteos en marbetes y centro de inspección - Jay Fonseca PR Película de Residente y Bad Bunny será en RD - El Vocero Comienzan las vistas hoy por el nuevo sistema de permisos para hacer negocios y construcciones en PR - El Nuevo Día Trump anuncia bloqueo del Estrecho de Hormuz y que sus barcos van pa Irán con bloqueo naval - Reuters Paralización de la canalización del Río Piedras vuelve a disputa y alcalde pide reconsideración a los federales - El Nuevo Día Pierde el pana de Trump en Hungría - Bloomberg Trump pelea con el Papa y le dice débil contra el crimen - Truth SocialPetróleo sube 8% - OilPriceEncubierto asesinado era policía comprando armas para denunciar la compraventa de armas, le costó la vida cuando intentaron robarle con lo que compraría armas a delincuentesVentas de autos cayeron en 20% - Noticel 8 asesinatos este weekend y llevamos 5 asesinatos más que el año pasado, entre los asesinatos, uno en baby shower - Metro Posible que cuatro congresistas sean expulsados de la Cámara, en la historia solo ha habido 6 jamás -  Axios Recuperaron fondos pagados a muertos en casi 90 millones - El Nuevo Día LUMA cuestiona a alcaldes para poner luminarias mientras PR sigue oscuro - El Nuevo Día Junta da el sí al gasoducto de San Juan a Toa Baja - El Nuevo Día Nieto asesinató a su abuelo joyero y prima médico reconocida neuróloga resulta herida en incidente de Guaynabo - El Nuevo DíaSeguirá cerrado el Hope Medical de Humacao opr lo previsible - El Nuevo Día Esperan dramáticas lluvias de hoy a miércoles por vaguada - Primera Hora Sobre 300 cadáveres en PR no se sabe de quiénes son - Primera HoraVan a subirle el sueldo a los cadetes de la policía - El Vocero Gobierno se opone a subir tarifa para fondo de reserva de la AEE - El Vocero Vuelve proyecto para regular las PBM en PR - El Vocero Controversia mayor por créditos de la película Borinqueneers - El Vocero MMM hoy voy pa Martins BBQEl mejor y más sabroso pollo asado a la varita de Puerto Rico. Cocinando diariamente comida fresca saludable y sabrosa con un montón de complementos para escoger, arroces, habichuelas, verduras, mofongo, tostones,....MMMM....Esto si es criolloMartins BBQ, TOMANDO todas las medidas de salud y sabor para mantener la mesa boricua al dia con opciones para llamar, recoger o delivery por UBER Eats, y DoorDash.MMM Hoy como en Martin's BBQAsado...Jugoso...Sabroso#martinsbbq#incluyeauspicio 

PODCAST LAS NOTICIAS CON CALLE DE 7 DE ABRIL DE 2026 - Logro impresionante pero peligroso en la robótica, bajan consumo dramáticamente de la energía - Tufts University     - Aprueban Certificado a empresa que antes se había denegado por Salud, cabilderos son Politank - Bonita radio Jefa de LUMA se gana 70 mil mensuales, promete reuniones mensuales - Metro Piden a tribunales repensar transmitir vistas antes del juicio - El Vocero Santini pide retirar cargos por agresión contra sujeto - Primera Hora Costaría 41 millones en baja de productividad que los empleados públicos tengan 5 minutos de reflexión al comienzo de jornada. - El Vocero Tres empresas candidatas a sustituir a Physician en las cárceles - El Nuevo Día Cerca de la huelga la UPR, reuniones con la presidenta - El Nuevo DíaRescatistas no debieron tirarse a buscar joven sin estar seguros dice la NMEAD - El Nuevo DíaTurismo asegura que negocia con 10 países para vuelos directos a PR - El Nuevo Día Petróleo se vuelve a trepar a 114 y el petróleo físico a 140 - Oil Price Oficialmente marzo se convirtió en el mes en que más subió el petróleo de cantazo en la historia - WSJEl dólar sube de valor 2.2% desde el conflicto de Irán - Bloomberg Multan a Eliezer Molina por conducta con la policía, lo mandan a terapia y mil de multa - WUNOSuben las ventas de carros eléctricos usados y nuevos en USA - FT Ucrania mete fuego a terminal de petróleo de Rusia para evitar que sigan haciendo dinero - Bloomberg Arabia vende en 20 billetes por encima del valor del mercado su petróleo - FTItalia empieza a racionar combustible de aviación en algunos aeropuertos - Axios LUMA ha sobrefacturado a Educación por montones - Noticel Riesgo de inundaciones en Puerto Rico esta tarde y noche - NWS#incluyeauspicio 

1. ¿Luego de Semana Santa, seguirá la tregua dentro del PNP? Dos asuntos sobre la mesa esta semana: vista de desacato contra el Secretario de Hacienda y se reanudan las vistas sobre escándalo en centros de inspección de vehículos de motor (caso Ciary Pérez Peña. 2. Mala señal para el gobierno y la economía de Puerto Rico. Los recaudos de Hacienda se caen 3.6% hasta febrero. 3. Presidente de la Comisión de Hacienda de la Cámara, Eddie Charbonier le da ultimátum al gobierno sobre reforma contributiva 4. Encuesta refleja mejorías de Pablo José Hernández y Thomas Rivera Schatz. Miguel Romero se mantiene con números positivos y la gobernadora con números muy negativos 5. Gobernadora le abre fuego a la nueva presidenta de LUMA 7. Se complica más aún el escenario de la guerra en Irán- Después del mensaje de Trump el miércoles, los mercados se cayeronSee omnystudio.com/listener for privacy information.

Our 239th episode with a summary and discussion of last week's big AI news!FYI: this one has pretty out of date news, I was traveling last week and failed to upload... apologies. Recorded on 03/25/2026Hosted by Andrey Kurenkov and Jeremie HarrisFeel free to email us your questions and feedback at andreyvkurenkov@gmail.com and/or hello@gladstone.aiRead out our text newsletter and comment on the podcast at https://lastweekin.ai/In this episode:OpenAI is discontinuing the Sora iPhone app and seemingly shutting down its video generation API, while retaining internal video world-modeling work; the move is framed as a compute- and focus-driven pivot toward coding and productivity agents, alongside a collapsed Disney Sora deal. Anthropic's Claude Code/Cowork gains full computer control via keyboard/mouse/display, tied to the recent Cept acquisition, and Google's Gemini rolls out background “task automation” on select phones for limited delivery/ride-share use. Cursor releases the cheaper, benchmark-strong Composer 2 coding model amid controversy over its Kimi-based origins and licensing attribution. Other items include Adobe Firefly custom model training, Luma's Uni 1 image model, US contracting and legislative proposals affecting AI safeguards and state preemption, major chip/memory developments (Meta ASICs with Broadcom, Micron's HBM-driven surge, Musk's “Terra Fab”), robotaxi scaling, and research on monitoring agent misalignment, shutdown resistance, “consciousness cluster” preferences, and self-improving “hyper agents.”Timestamps:(00:00:10) Intro / BanterTools & Apps(00:01:48) OpenAI Discontinues Sora App, Shuts Down Video Generation Service and API - Bloomberg(00:07:12) Anthropic's Claude Code and Cowork can control your computer | The Verge(00:13:15) Gemini task automation is slow, clunky, and super impressive | The Verge(00:19:44) Cursor Launches Composer 2 AI Model to Challenge OpenAI & Anthropic(00:28:28) Adobe's AI image generator can now be trained on your own art | The Verge(00:29:40) Luma AI launches Uni-1, a model that outscores Google and OpenAI while costing up to 30 percent less | VentureBeatApplications & Business(00:32:41) Trump Contracting Clause Would Override AI Safeguards(00:40:00) Meta accelerates AI ASIC roll-out as Broadcom secures four-generation chip design deal(00:47:07) Micron revenue almost triples, tops estimates as demand for memory soars(00:50:54) Elon Musk Unwraps $25 Billion Terafab Chip-Building Project - CNET(00:56:40) Zoox to widen US robotaxi footprint with San Francisco, Vegas expansion(00:57:39) Waymo hits 170 million miles while avoiding serious mayhem | The VergePolicy & Safety(00:58:43) The White House just laid out how it wants to regulate AI | CNN Business(01:06:54) How we monitor internal coding agents for misalignment(01:12:30) Incomplete Tasks Induce Shutdown Resistance in Some Frontier LLMs(01:18:15) Summary: Mechanisms to Verify International Agreements about AI Development(01:23:09) Scoop: Anthropic meets with House Homeland Security behind closed doorsResearch & Advancements(01:24:24) Consciousness Cluster: Preferences of Models that Claim they are Conscious(01:30:22) HyperAgentsSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

¡Vuelve a Café en Mano una de las figuras más aclamadas y comentadas del país! La exsecretaria del DACO y abogada litigante, Valerie Rodríguez Erazo, se sienta con nosotros sin filtros ni ataduras gubernamentales.En esta entrevista exclusiva, Valerie responde a los rumores: ¿Se tira para la Gobernación? ¿Qué hay detrás de su controversial foto con el senador Eliezer Molina? Además, profundizamos en su famosa frase "los peores tiros vienen de adentro" y analizamos la guerra interna que está devorando al gobierno actual.Hablamos claro sobre lo que realmente nos vacía el bolsillo: por qué seguimos pagando "La Crudita" si la deuda ya se pagó, la burocracia en Fortaleza, y el revolú de LUMA. Para cerrar, Valerie expone la cruda realidad del machismo en el ámbito laboral y político de Puerto Rico, el acoso, y el famoso "techo de cristal" que le imponen a las mujeres. ¡Un episodio lleno de verdades que nadie más se atreve a decir!☕ Este episodio es traído a ustedes por Fus Telecom, internet sin preocupaciones.

1. Tragedia en Loíza 2. Camino a la vista por desacato contra el Sec. de Hacienda, TRS anticipa lo que tiene y busca sobre el licenciado Antonio Sagardía 3. Gobierno entregó la información sobre el alegado ahorro en contratos. Pero…la información es por demás confusa 4. La nueva presidenta de LUMA dice que llegó para quedarse 5. Por culpa de Trump el miércoles comienza un aumento de 4% en la tarifa de la luz y siguen las amenazas de aumentos en la tarifa permanente 6. Miguel Romero vuelve a la cargo contra la gerencia de la AAA 7. Dicen que están vivas las posibilidades de un proyecto de status en el CongresoSee omnystudio.com/listener for privacy information.

PODCAST LAS NOTICIAS CON CALLE DE 30 DE MARZO DE 2026 - WTI y Brent rompen y se van por encima de 100 el barril, hasta 115 Trump dice al Financial Times que quiere "tomar el petróleo" de Irán y considera tomar la isla KhargEsta semana se debate en la Corte Suprema si hay o no ciudadanía americana por nacimiento - Washington Post 50 mil soldados de USA en la zona de Medio Oriente - NYTJGo envía al Senado supuestos recortes de 900 millones del año anterior - El Nuevo Día ¿Son o no responsables de volverte adictivo las redes sociales? Jurado en California entiende que sí - Los Ángeles TimesNegociado de Energía finalmente arranca con posible protocolo para que alcaldes ayuden a LUMA con alumbrado público - El Nuevo Día Gobierno va en contra de viuda de Roberto Viqueira diciendo que no puede llevar el caso al Apelativo - El Nuevo Día No viene otro proyecto de fourtracks de la Fortaleza - El Vocero Buscan garantizar zonas que sean agrícolas - El Nuevo Día Republicanos plantean aprobar los 200 billones para la Guerra de Irán cortando fondos de Medicaid/Medicare alegando fraude - Axios Lo que implica que los hutíes entraron a la guerra de Irán - Economist Aprueban aumento de la luz por un centavo por guerra de Irán - Primera Hora Proponen pasar Palo Seco de Toa Baja a Cataño, alcaldes dicen que no - Primera Hora Viene récord de sargazo según científicos - El Nuevo Día Sigue la pelea por las planillas de Sagardía - El Nuevo Día Quién paga por los problemas de conflicto de interés, Genera o el gobierno en las negociaciones de la generación temporera - El Nuevo Día Nuevo jefe de FEMA subirá a 25 millones lo que antes estaba en 100 mil para aprobar directamente por el jefe de DSH - El Nuevo Día Jefa de LUMA pide un break para ver si funciona ahora el consorcio - El Nuevo Día Falso que le iban a quitar las licencias a los viejitos - El Nuevo Día Investigan nuevas fallas susceptibles de terremotos en PR - El Vocero Volleyball de PR en luto con la muerte de atleta y otra que está gravemente herida tras regresar a su casa a Loíza  MMM hoy voy pa Martins BBQEl mejor y más sabroso pollo asado a la varita de Puerto Rico. Cocinando diariamente comida fresca saludable y sabrosa con un montón de complementos para escoger, arroces, habichuelas, verduras, mofongo, tostones,....MMMM....Esto si es criolloMartins BBQ, TOMANDO todas las medidas de salud y sabor para mantener la mesa boricua al dia con opciones para llamar, recoger o delivery por UBER Eats, y DoorDash.MMM Hoy como en Martin's BBQAsado...Jugoso...SabrosoIncluye auspicio 

1. TRS sigue marcando el terreno sobre la vista de mañana. Gobernadora confirma Domenech comparecerá y lanza ataque a TRS.2. TRS les abre fuego a las agencias anticorrupción y apunta la mira en la Oficina de Ética o 1er post 3. Nueva crisis del gobierno de Jenniffer González: alegaciones de hostigamiento laborar y sexual contra el secretario de Corrección 4. Dramático el estancamiento de la estadidad en Washington y la inacción del gobierno del PNP 5. En riesgo de que el aumento en la luz para los próximos 3 meses sea más del 4% que solicitó LUMA 6. Caos en los aeropuertos. Llegan los agentes de ICE 7. Trump se echa para atrás y dice NO atacará instalaciones energéticas de Irán. Alega negociaciones que Irán niega 8. Deportes con José Aníbal HerreroSee omnystudio.com/listener for privacy information.