Podcasts about Luma

This recording with Andrew Trask is from the Foresight Institute Secure AI seminar series, hosted in April 2026. Andrew Trask is the founder of OpenMined and creator of PySyft, one of the most widely used frameworks for privacy-preserving machine learning. He has spent the last decade building technical infrastructure that allows AI systems to train on sensitive data without exposing it. In this talk, Andrew makes the case that the field has developed a powerful set of privacy and security tools, including federated learning, homomorphic encryption, and differential privacy, and that the moment has arrived to move from research to real-world deployment. To see the slides that go along with this presentation, see the recording on YouTube. If you want to join future seminars live, the schedule is at foresight.org and in our Luma calendar. Hosted on Acast. See acast.com/privacy for more information.

Hacer click aquí para enviar sus comentarios a este cuento.Juan David Betancur Fernandezelnarradororal@gmail.comHabía una vez en un pueblo en las montañas rodeado de colinas verdes, un sendero secreto que había sido olvidado hace muchos cientos de años y que se encontraba cubierto de musgo. Este sendero llevaba al Bosque de Cristal. Este sendero No era un lugar común y solo unos pocos lo conocían. Se decía que solo los seres de alma buena y pura podían encontrarlo y aventurarse a recorrerlos. El sendero se decía recorría robles centenarios donde no solo cantaban los mirlos, sino que las sombras brillaban con destellos dorados y azulados. Decían los viejos que sus abuelos les habían contado alguna vez que en ese bosque encantado de cristal vivían las mariposas mágicas, guardianas de la luz del amanecer.Cerca de una de las salidas de aquel pueblo vivía Elena, una niña curiosa de ojos despiertos que siempre llevaba en el bolsillo una libreta pequeña y un lápiz de madera para dibujar las formas de las nubes y las hojas que encontraba a su paso. Elena había escuchado hablar de las mariposas mágicas, pero los mayores decían que solo se dejaban ver por quienes sabían escuchar con el corazón en silencio.Una tarde de brisa suave, mientras seguía el rastro de una pluma tornasolada que había visto caer desde lo alto de una de las nubes que ella quería pintar, Elena se fue alejando de su pueblo y se vio sin saber cómo en aquel sendero de musgo que casi todos desconocían. Después de recorrerlo lentamente Elena cruzó el arco natural de sauces que marcaba el inicio del bosque encantado de cristal. El aire olía a menta fresca y a jazmín silvestre. De pronto, la luz del sol pareció romperse en mil fragmentos diminutos como si millones de diamantes la rodearan y de pronto comenzó a oír un sonido extraño. Como si una brisa de la montaña se hubiera partido en mil pedasos. Y allí las vio. A su alrededor comenzaron a revolotear cientos de mariposas, cada una con alas que parecían hechas de cristal pulido. Unas brillaban con el resplandor de las brasas cálidas, otras tenían destellos de cielo estrellado, y al batir sus alas dejaban una estela de suave polvillo luminoso que hacía sonar campanillas en el aire.En el centro de aquel bosque elena vio un claro que tenía en el centro una fuente de agua saltarina. Y allí junto a la fuente había descansaba el Árbol Madre, cuyas raíces abrazaban la fuente de agua clara. Sin embargo, en una de sus ramas más altas, Elena vio a una mariposa diferente: era diminuta, con alas plateadas que apenas emitían un tímido titileo. Sus alas pesaban tanto que no podía alzar el vuelo, y una sombra gris comenzaba a extenderse por las hojas del gran árbol.Elena se acercó despacio, cuidando de no quebrar una sola ramita seca. Se sentó sobre las raíces y extendió su mano abierta.—No tengas miedo —susurró con calma—. ¿Qué te apaga la luz?La pequeña mariposa plateada, llamada Luma, descendió temblorosa hasta posarse sobre la palma de Elena. Con un murmullo que sonaba como el roce del viento en la hierba, Luma le explicó que el bosque florecía gracias a las canciones y risas de los niños, pero hacía mucho tiempo que nadie entraba a compartir una historia, y el peso del olvido estaba enfriando sus alas.Elena comprendió de inmediato. Abrió su libreta donde dibujaba y escribía los cuentos que su abuelo le contaba y comenzó a buscar frenéticamente una historia para narrar. Y la encontró y comenzó a dibujar en voz alta una historia sobre valientes navegantes que surcaban los mares buscando seres extraños que nadie había visto pero que vivían más allá del límite del mundo. Así describió lo que su abuelo le contó que en ese límite había ríos que cantaban y montañas que tocaban el cielo. Su voz llenó el claro de calidez y los árboles se sentaron a escuchar aquella niña mientras que cada una de las mariposas se asentaban en las ramas enamoradas de la voz dulce de aquella narradora que les ofrecía la emoción sincera de quien ama imaginar.A medida que las palabras fluían, el polvillo plateado de Luma cobró un brillo intenso y vivo. Las demás mariposas rodearon a Elena formando una espiral de colores que iluminó cada rincón del follaje. Luma extendió sus alas renovadas y se elevó, trazando un lazo de luz pura sobre la copa del Árbol Madre, cuyas hojas volvieron a resplandecer con un verde esmeralda deslumbrante.Antes de que cayera la noche, las mariposas guiaron a Elena suavemente de regreso al sendero de musgo, y  Luma rozó su mejilla con una caricia tibia y dejó sobre su libreta una diminuta estrella de luz plateada que jamás se apagó.Desde aquel día, Elena volvía cada semana al Bosque de Cristal, sabiendo que mientras existieran historias para contar y oídos atentos para escuchar, la magia de las mariposas nunca dejaría de brillar. 

PODCAST LAS NOTICIAS CON CALLE 25 DE SEPTIEMBRE - Tranque de barcaza, diesel más caro por 4 veces que gas de barcaza, tripulación sin suministros podrían tener que irse   Bono de USA pasa a 5% y las hipotecas suben a sobre 7% otra vez - CNBC Diez días sin gas: la 3PPO va al tribunal contra New Fortress  (END, p. 6)Carlo Linares acusa a Mujica de traqueteo (END, p. 37)Mujica dice Osvaldo escondió por más de un mes traqueteo de la Junta El bufete que asesora a la Junta representó a Enchanted Rock y cabildea para New Fortress (END, p. 37)Rivera Schatz no investigará Power Expectations porque no hace falta otra investigación más (END, p. 5)Los prácticos piden desacato: New Fortress no ha dicho qué tamaño de buque aguanta su muelle, como ordenó la jueza (END, p. 6)LUMA reconoce que el tranque del gas puede subir la tarifa más allá de los 34.64 centavos (END, p. 8)El NEPR dice que la última vez el diésel "quedó en suspenso"; LUMA dice que esta vez va a reconciliación (El Vocero, p. 7; END, p. 8)El Senado sí investiga a Domenech: 64 páginas, cinco referidos (El Vocero, p. 4)En la temporada de huracanes es vital tomar medidas para asegurar nuestra tranquilidad.Si tienes dudas, llama al 787-641-7171 Todos tienen una manera diferente de prepararse para un huracán.Lo importante es que lo hagan.Auspiciado por Universal, en nuestro servicio está la diferencia.#universal #incluyeauspicio - La Opfei amplía la investigación al subsecretario del DDEC; la gobernadora lo mantiene (El Vocero, p. 4)- Ética y el FEI ya enviaron subpoenas al Senado por el caso Domenech (NotiCel en línea, 24 sep)- El transformador que se quemó tenía más de 60 años, LUMA no sabe si el fuego causó la falla o la falla causó el fuego (El Vocero, p. 7)39 días para los midterms, los republicanos gastan $450 millones más que los demócratas y aún así perdiendo malamente - Axios - Las mejoras de protección de Sabana Llana están en un plan del NEPR de 24 meses aprobado en marzo de 2025; nadie dice cuánto está hecho (END, p. 8)- Bonistas de la AEE pierden en Boston: los $8,500 millones no se cobran del gobierno central (El Vocero, p. 3)- Miss Universe: Turismo entregó el expediente tarde y las facturas "no concuerdan" con los $5 millones desembolsados, dice el Senado (El Vocero, p. 22)- Diésel a casi $1.60 el litro, 90% más que hace un año; los generadores de un negocio mediano gastan $200 a $300 diarios (El Vocero, p. 13)- La crudita recauda entre $371 y $600 millones, pero ni pal cará la eliminan - Cupones podrán usarse en línea, otra vez: en 2020 ya lo habían anunciado; ahora los comercios se certifican desde mañana (END, p. 12)- Acaba la era de Primera Hora impreso, 28 años duró (END, p. 14)- Un boricua de la CIA como embajador en El Salvador - El Nuevo Día - Solo 22% de los jóvenes de 18 a 29 años en Puerto Rico tiene cuenta de retiro (El Vocero, p. 14)LOS DATOS DEL DÍA (cierre jue 24 sep; commodities/tasas al 24–25 sep) Brent~$104.67/barril▲ ~+2% Diésel EEUU (retail)$6.53/galón▲ +24¢ semana S&P 5007,707≈ plano Dow Jones51,372▼ -0.36% Bono 10 años5.11%máx. desde 2007 Euro/USD1.136▼ leve Gas natural (Henry Hub)~$3.17/MMBtu▼ -3.5% Hipoteca 30 años7.03%sobre 7% desde ene-25

From the earliest days of open-weight models to becoming the neutral routing layer for more than 10 million developers, OpenRouter is one of the clearest bets that the future of AI will be multi-model. In this episode, OpenRouter co-founder & CEO Alex Atallah, with AMP's Anjney Midha returning with swyx to unpack how OpenRouter emerged from the first wave of Llama, Alpaca, Mistral, and Midjourney, why model diversity mattered before it was consensus, and how a company dismissed as “just a wrapper” became critical infrastructure for the AI ecosystem.We go deep on the product and distribution lessons behind OpenRouter: why model labs can spend billions training a checkpoint and still struggle to get it into developers' hands, how Mistral helped prove the value of a competitive inference marketplace, why OpenRouter chose focus over expanding into fine-tuning, memory, and other adjacent products, and how its rankings became a real-time map of how AI usage was changing. Alex also explains OpenRouter's early experiments with model fusion, why they deleted the first version and brought it back years later, and how the platform grew to more than 10 trillion tokens per day.Finally, Anjney explains why Stripe and OpenRouter fit together, why token fraud may become one of the defining security problems of the AI economy, and why the next wave of fraud won't just come from humans but from autonomous agents attacking increasingly valuable token flows.We discuss:* Why OpenRouter bet early that no single AI model would win everything* Alpaca, Llama, and open models becoming impossible to ignore* Why Discord's early AI deployments exposed the limitations of closed models* Why model labs can spend billions on training and still fail at distribution* How OpenRouter became a neutral distribution layer for model developers* Why VCs dismissed OpenRouter as “just a marketplace” or “just a wrapper”* The Mistral price war and the first real proof of an inference marketplace* How Midjourney scaled through Discord and what it taught the AI ecosystem* Why crypto infrastructure became a dress rehearsal for generative AI* OpenRouter vs. LM Arena and why their missions are fundamentally different* Why focus became one of OpenRouter's biggest strategic advantages* Anthropic's early focus on AI pair programming and coding* The OpenRouter products that were prototyped but never launched* MOM, OpenRouter's early Mixture of Models experiment* Why model fusion failed in 2024 — and why it works much better now* How OpenRouter's leaderboard became a live map of the AI industry* OpenClaw, auto-routing, and agents reshaping AI usage* How OpenRouter reached 10+ trillion tokens per day* Why inference gateways are increasingly becoming targets for fraud* Why Stripe's fraud infrastructure is strategically important to OpenRouter* The coming rise of agentic fraud and attacks on the token economy* What changes and what stays the same as OpenRouter joins StripeAlex Atallah* LinkedIn: https://www.linkedin.com/in/alexatallah/* X: https://x.com/alexatallah* Website: https://alexatallah.comAnjney Midha* LinkedIn: https://www.linkedin.com/in/anjney/* X: https://x.com/AnjneyMidha* AMP: https://www.amppublic.com/Timestamps00:00:00 Introduction00:02:12 Alpaca, Llama, and the Multi-Model Bet00:06:04 Discord, Open Models, and OpenRouter's Origins00:14:28 Why “One Model Wins” Was the Wrong Bet00:17:27 Why Model Labs Struggle With Distribution00:23:04 “Just a Wrapper”: Why VCs Misunderstood OpenRouter00:27:58 Bootstrapping OpenRouter Through Community00:36:16 Crypto, Midjourney, and the Early Generative AI Ecosystem00:43:38 Mistral and the Birth of the Inference Marketplace00:47:10 OpenRouter vs. LM Arena00:52:08 Focus, Anthropic, and Roads Not Taken00:59:34 Mixture of Models and Model Fusion01:02:44 Sonnet, OpenClaw, and OpenRouter's Explosive Growth01:09:03 Why Stripe Acquired OpenRouter01:12:45 Fraud and the Emerging Token Economy01:17:47 The Coming Wave of Agentic Fraud01:19:07 What's Next for OpenRouter at StripeTranscriptIntroduction: OpenRouter, Marketplaces, and Pub-Sub as a Product PrincipleSwyx [00:00:00]: Okay, we are here in Anja's house, which is where all big startups in San Francisco start.Anjney Midha [00:00:08]: Howdy.Swyx [00:00:08]: And, congrats on Cursor, Mistral. I don'- God knows what else. You got so much stuff going on.Anjney Midha [00:00:17]: There's, there's a lot going on. Well, OpenRouter is probably the - has been the most, I would say, like, one I'm excited about recently.Swyx [00:00:24]: Yeah. And we have Alex, first time on the pod, but,Anjney Midha [00:00:27]: Thanks for having me.Swyx [00:00:27]: You've been in the IE a few times. I appreciate every time you've shown up, for the community. Congrats. I just, like, what a journey. When I was looking back at your past posts, one of the earliest principles that I saw you write as a product person is sub as a product principle. And I wanted - you to maybe explain how you think about what should exist in the world.Anjney Midha [00:00:49]: Yeah. The sub piece, which was early 2023, I didn't think about it until we talked like 10 minutes ago, is about how there is like a way of thinking about products as an intersection between subscribing to data and publishing data. And marketplaces are an easy example of this. You have suppliers that are publishing some product to a SKU. And the SKU is like a sub topic that a consumer is subscribing to and just going to, like, consume whenever they want. And humans consume in a very, like, discreet, ad hoc way. It's not very scalable. all their attention is on the topic when they're buying the thing, and their attention is nowhere else when that happens. agents and consumers of inference don't act like that. They're consuming continuously, and they're changing the SKUs that they consume from all the time. So OpenRouter is like a blend between a normal API experience and a marketplace where we create model slug. We have the auto router. We have all kinds of, like, product SKUs that you can subscribe to. And then you can, like, continuously add, like, derive value and make decisions based on those consumers.Alpaca, Llama, and the Multi-Model BetSwyx [00:02:11]: Yeah. This is something that was more consensus now, but not consensus when you guys started, which was that there is such a demand for swapping models and changing things out and, that people would not use the native SDKs. I guess, for each of you, what was your realization moment that this would be it? I, - You've, you've given a talk at EIE about Alpaca as,Anjney Midha [00:02:33]: Yeah.Swyx [00:02:33]: One of your inspiring moments.Anjney Midha [00:02:35]: Alpaca, I can, like, rehash the Alpaca moment for a sec. Like, the very beginning, at the end of 2022, OpenAI was the only game in town. There was, like, OpenAI, Cohere,Swyx [00:02:47]: Yes.Anjney Midha [00:02:48]: And then a smattering of, like, early attempts at open weight models.Swyx [00:02:54]: Yeah.Anjney Midha [00:02:54]: When Llama came out in January of 2023, it was like, “Wow, really exciting. This is really big.” It outperforms 3 on, one or two benchmarks. but you can't chat with it. It wasn't like - It wasn't an engaging model, but it seemed like someone just needed to fix a couple things and do some RLHF on it to get it all the way there. And Alpaca was the first model that I saw that did that. It only took $600 to do. A team at Stanford generated a bunch of synthetic data, tuned Llama, and made Alpaca, billion parameter model. Or was - Maybe it was thirteen billion parameters. And it was so good. Like, I was just, like, on an airplane using it. I, - in many cases, I, like, you could not discern a ChatGPT versus an Alpaca result. And I figured if it was this easy to make a model, one, we have a whole new way of monetizing data for the first time. you can just, like, take really valuable data and turn it into a service in $600. and that cost will probably go down over time.Swyx [00:04:03]: When you - So sorry. when you say monetizing your data as, what eventually will become an MCP endpoint or as a training data for a model?Anjney Midha [00:04:12]: Yeah, training data for a model.Swyx [00:04:13]: Awesome.Anjney Midha [00:04:13]: Like, an abstract way of saying like, “Hey, I have this data.”Swyx [00:04:15]: Compress it into a model.Anjney Midha [00:04:16]: Like, it makes sense for me in my product, but, like, I could repackage it in the form of a model and sell it. And so it's just a whole new business model for the economy. It also, of course, provides, like, a way of following what Frontier Labs are doing, but in a way that, like, a single developer or a small team of developers can roll on their own. And so - Whenever you have an example of that, like a breakout app that's doing really well, and then some framework for imitating it with - in your own flavor, you have an immediate ecosystem of, like an immediate ecosystem, like, should arise because there's just a huge gap between the, like, decisions that the single company is making and all of the variations in those decisions that, like, a wider ecosystem can create themselves. And so then, you need a marketplace to, like, discover all of those, services and all of those products. There wasn't any place on the internet that, like, was like a home base for LLMs in terms of seeing how much they were being used and seeing who was using them and why.Swyx [00:05:29]: The closest would be Hugging Face.Anjney Midha [00:05:30]: Hugging Face was the closest at the time, yeah.Swyx [00:05:31]: They just started Hugging, like, a few years ago before that.Anjney Midha [00:05:34]: Yeah, and Hugging Face also didn't have the closed-source models.Swyx [00:05:37]: Yeah.Anjney Midha [00:05:38]: And they didn'- you couldn't use the models at the time. and there wasn't data about who was using them. There were, like, a bunch of differences between OpenRouter and Hugging Face, and those differences felt really critical to me, especially when I was just trying to learn about LLMs and, like, why people are choosing, like, Different little ones that are emerging over time.Discord, Open Models, and the Origins of OpenRouterSwyx [00:06:03]: Got it. And then, Ansh, no stranger to wanting more model diversity, at the time, you're a couple of years into your Anthropic journey, which we covered in the previous podcast as well. What was your introduction to Alex?Alex Atallah [00:06:16]: Well, the introduction was, I think, thirteen years before that.Swyx [00:06:20]: Oh.Alex Atallah [00:06:20]: But the OpenRouter handshake happened right over there, if you remember.Anjney Midha [00:06:23]: Yeah.Alex Atallah [00:06:24]: Which - So Alex and I, met, I believe as sophomores now, if I remember at the Stanford Review,Anjney Midha [00:06:32]: That's rightAlex Atallah [00:06:32]: Meeting for the first time.Anjney Midha [00:06:33]: I think so, yeah.Alex Atallah [00:06:35]: Yeah.Anjney Midha [00:06:35]: Yeah.Alex Atallah [00:06:35]: So Stanford Review was the libertarian newspaper on campus at Stanford that Peter Thiel started back in the day. And, whatever-- for whatever reason, I, Alex and I both showed up to one of the meetings, and I remember, the editor-chief was a mutual friend of ours. Lisa was really a really great editor-chief, where, part of an editor-chief's job is to assign responsibilities to people and make sure the work gets done. and I, I may be misremembering the details, but I remember wanting to. It was surprising to me that at the time there was no dedicated technology section in the newspaper.Alex Atallah [00:07:11]: YouSwyx [00:07:13]: Because it's political, right?Alex Atallah [00:07:14]: It is primarilySwyx [00:07:14]: Like, it's talkingAlex Atallah [00:07:15]: It originally started as like aAnjney Midha [00:07:16]: Yes.Swyx [00:07:17]: Yeah, states and all those things.Alex Atallah [00:07:17]: Correct.Swyx [00:07:18]: Yeah.Alex Atallah [00:07:18]: But it, - To take us back in time, you may remember this, but, there was this technology, legislation that was being debated called, the Net Neutrality Act. And net neutrality is, like, inherently this political concept, right? It's, it's about the regulation of - internet broadband access. And so there was a community of us who were technologists, but also debating the politics of the technology. And I thought the Review would be a great place - to, like, write about that. And I was working on, I think, a net neutrality article, and I remember proposing, “Well, maybe we should start a technology section.” And Alex was one of the only people who said, “Yes, that would be cool.” And said. I forget whether we ended up writing stuff together, but - that's when we first met,Alex Atallah [00:08:03]: Was 2011 or twelve. I forget which year it was. It was one of those.Anjney Midha [00:08:09]: Yeah.Alex Atallah [00:08:09]: It was at Old Union, if I remember correctly.Alex Atallah [00:08:11]: That's where we used to meet. But, along the way, Alex and I have had a chance to, To hang out often. And probably the time when we had the most professional overlap was when I was running the platform at Discord, and it had become this explosive platform for cryptoSwyx [00:08:32]: YeahAlex Atallah [00:08:32]: And NFTs in the middle of the pandemic.Swyx [00:08:35]: Which also, by the way, you were in charge of safety and security as well, right?Alex Atallah [00:08:38]: I was the head of platform, which meant all of the crypto - the DAO and NFT launch security debugging fell onSwyx [00:08:45]: And their phishing and.Alex Atallah [00:08:47]: The phishing, the social engineering attacks, the katana DDoS that we were getting hit by. but it's around the time I first started teaching security at scale at Stanford, CS 153. And Alex was on the, - at OpenSea at the time, and I was trying to figure out how we could defend against all these attacks that we were. Like, and at peak, I forget, if you remember how much NFT volume was running throughSwyx [00:09:10]: DiscordAlex Atallah [00:09:10]: Discord, but it was, like, a meaningful amount of, like, it was, like, several billion dollars in NFT volume of GMV, so to speak, were running through the platform, and it was all coming from OpenSea. It was these, like, buy, sell,Swyx [00:09:20]: TheAlex Atallah [00:09:21]: ServersSwyx [00:09:21]: The D in DAO is Discord.Alex Atallah [00:09:25]: Yes. And so that's when I think we had hung out professionally. But a year after that, OpenAI gave Discord early access to GPT. Sorry, three. No, it was five. Yeah, five, which is the RL version of three. And that's around the time we made a Discord bot with, OpenAI for internal deployment, and that's when I realized we would need. Like, since I was part of the deployment team.Anjney Midha [00:09:50]: What was the use case?Alex Atallah [00:09:51]: There were two that were. And there's, there's a post now called “Discord is Your Place for AI with Friends” that somebody sent me recently that I wrote, and published in twenty-three. But There were two use cases. One was Clyde, which was the - like, a party friend inside of Discord that could help you set up your Discord server and talk to you about onboarding and get your friends to hang out more. and then there was content moderation. And one of the realizations we had with content moderation was - it would refuse to moderate. Like, it would just refuse our prompts because the The training was. We were very early in the training era, and it would just. Our prompts would trigger it, its, like, guardrails. And we told OpenAI, “Hey, guys, we need access to the weights because if we're gonna be doing content moderation at scale, we had 250 million monthly active users, we need more reliability that the model will do what we need it to.” And they said, “Well, sorry, guys, that's not how this works. We're a closed-source company.” And so that was my first realization that we needed open models, and the enterprises would need more control over capabilities, and then ultimately would need some control plane or management system to orchestrate these open models. But there weren't no good - there were no good open alternatives until maybeAlex Atallah [00:11:10]: Six months later when Llama came out. And six months after that, I led the series A into Mistral, which was started by Guillaume and the Llama team. And - That, - Around that time is when I remember hearing about Alex launching OpenRouter and going, “These worlds are gonna collide, and I don't know when it'll make sense to team up.” But Alex was so early and could see. I think he was totally right about this ecosystem starting with Llama that then needed, like, a, an easy layer to manage for, especially for. I was approaching it from the enterprise perspective because I had been that, like, the. As the VP of platform at Discord, it was my job to ensure that when we deployed models to, like, 250 million users, they did what we wanted them to. And that was very hard, because if you outsourced it to the labs and they controlled the guardrails and their guardrails are their safety policies. Forbid the model from responding to your prompts. That was quite catastrophic.Swyx [00:12:05]: Yeah. But what, a moderation is the thing that they want to support. And obviously, beyond that, they would - OpenAI would work with you, presumably to give you a moderation endpoint, which they offer for free.Alex Atallah [00:12:16]: It was an interesting use case, that - So they did give us a moderation endpoint. However, as you guys know, every Discord server is like a mini deployment of itself. And so the use case was instead of having human moderators that have to interpret the norms of the community, you just give the, - Often, like every, subreddit, Discord servers, public ones have their own rules that the user, the users create.Swyx [00:12:41]: Oh, yeah. We run the LinkedIn Discord in. Yeah.Alex Atallah [00:12:43]: And then humans used to read those norms and then enforce it every day manually, like observing each message in these communities. And these communities have like millions of users. So we had a 5,000+ person team globally in the, on the Discord content moderation team. These are outsourced contractors who had a really tough job. And so the idea was instead, if you could give the norms of that server To the LLM, then the LLM would do custom moderation for that server. It's almost like a, like context moderation for that server. And many of those servers' norms just violated OpenAI's rules. And so - It was like we had our own custom eval. So each server had its own custom eval. But Discord-- at the time, OpenAI's evals, we were all soAlex Atallah [00:13:28]: Primitive in our thinking about how to deploy these LLMs that often the training prompts were super handed. It said, “Oh, anything about Harry Potter, anything that has trademarked content, don'- refuse.” And if it was a fan - Harry Potter fan community, this is a real use case, that had content moderation, the LLM would just refuse.Swyx [00:13:48]: Yeah.Alex Atallah [00:13:49]: And that was just not precise enough.Anjney Midha [00:13:52]: Another one that we heard was like if someone was trying to write like a detective story, and there's one chapter with a lot of violence, like maybe someoneAlex Atallah [00:14:01]: RightAnjney Midha [00:14:01]: Like kills someone, the LLMs would just refuse to, like, help with that part of the story.Alex Atallah [00:14:07]: Yeah.Anjney Midha [00:14:07]: And then - like, we used to be like, okay, this is not like structurally inherent to LLMs. There must be, like, some choice out there so that I can, like, switch to another model, when I'm getting, like, a refusal or a bad result from the main one that I have. And that, like, tension also drove me for a marketplace.Why “One Model Wins” Was the Wrong BetSwyx [00:14:28]: Yeah. I think that is well accepted now. What was it like back then when you were raising or, starting this? did people get it? what was the, some of the struggles? I like getting stories out of him about how other VCs don't get it. So like anything you wanna, talk about, now - Let's, let's call it, that the early journey of OpenRouter is done, right? You can obviously talk about some of the early days stuff.Anjney Midha [00:14:54]: Well, I was gonna say that, like, the biggest objection we got is big model win, which is - all of theSwyx [00:15:03]: Scaling laws.Anjney Midha [00:15:04]: Huh?Swyx [00:15:04]: Scaling laws.Anjney Midha [00:15:05]: Yeah, scaling laws, and natural network effects are just gonna accrue to one company, which will be - It'll be a Google-style monopoly, just like how Google won the search market, by a large margin, and you'll just be fighting for scraps at the end. That was probably the biggest objection we got. it is interesting that Google won the search engine race with such a huge margin. I think, like, had there been more interesting benchmarks or had, like, search engines been, - had people, like, seen them a little bit more like LLMs where they're services that you can build companies on top of, that might not have been the case. but LLMs don't merely have a user interface. They're also, like, ways of building entirely new businesses. And, a Google-level monopoly would be like the Dutch East India Company times, quadrillion in magnitude because the whole economy ends up, like, depending on the one monopoly as well. So it didn't seem like would be a really crazy outcome if that happened. And it's also less likely because the economics of, like, creating good competitors are much, like, much more decentralizable.Alex Atallah [00:16:25]: Everything Alex said is true, And I came at it from a completely different perspective, whichSwyx [00:16:31]: Yes, this is why we're here.Alex Atallah [00:16:32]: The scaling laws were never - In my mind, were always a feature, not a bug for why OpenRouter would be very valuable. Because, I was one of the first investors in Anthropic, and it was obvious to me that other researchers in our friends - I went to grad school for machine learning, and I just had a lot of friends in the ML community who it was very obvious to us that the bitter lesson holds. And so I was like, “Oh, fantastic. Now we have at least two proof points that compute scaling works.” It was OpenAI and Anthropic. and by the time I think we decided to team up on OpenRouter, I had already invested in Mistral and Black Forest Labs and Luma. So there was multiple model companies and teams that I was, working with.Why Model Labs Struggle With DistributionSwyx [00:17:14]: But you did other modalities, whereas this is literallyAlex Atallah [00:17:16]: Across different modalities, yesSwyx [00:17:17]: Text.Alex Atallah [00:17:18]: Exactly. And it was so obvious to me that an ecosystem of different kinds of models were being created, and that this whole narrative of, like, Only one company will dominate like Google was, well, like maybe true, but one, I don't believe that. But two, there was so much extraordinary innovation happening across several different research teams. But the shared problem I was noticing across all of them was often, the research teams were fantastic at figuring out how to reason about new capabilities. They think in terms of capabilities, but never - like, are not developer mindset-oriented. Like, what happens after the training is done and the checkpoint comes out? Like, you'd be shocked how, like, similar the early training teams at OpenAI, sorry, Anthropic, BFL, Mistral, were in their, like, default approach to. Taking their research out of the, lab and scaling their impact, which is often, oh, the checkpoint is done, put it out as an API, done, and then there'd be crickets. in the case of Claude, the first Claude checkpoint was done a year before they released it internally. And then ChatGPT came out, and we decided, okay, yes, it's a good idea to release a Claude version externally.Alex Atallah [00:18:34]: And they had no plan, like no plan for how to get developers to try it out. And so if you go to the Claude one blog post, you'll notice there are, like, three developer examples for users of the API, and one is a Discord bot, and the second is Vivian, my wife's startup called Juny Learning, ‘- And then there was, like, Notion, because these were all friends of, like, the Anthropic Because that's how - like, last minute the planning was around, hey, once the model's done training, how do you get it out to the world? There was no distribution platform that understood what developers needed, all the key management, provisioning, like, simple, like, endpoint management, versioning control. Like, all these things that the scientists and researchers go, “ that's plumbing. I don't really think about it.”Swyx [00:19:15]: Implementation detail.Alex Atallah [00:19:16]: Right. And instead, Alex came at it from that perspective. And so, it was so obvious to me that, like, every single lab I was funding would spend - like, literally sometimes billions of dollars into training, and then a checkpoint would be done, and there'd be crickets, like, during early access because they're like, “Oh, that's right.”Alex Atallah [00:19:35]: It's hard to use a checkpoint to make anything. You need a whole bunch of plumbing around it to make it usable by a developer. And so by the - I think - it was so obvious to me that a distribution platform like OpenRouter was critical to have in the ecosystem if we wanted there to be competition to Google. Like, unless-- ‘cause with Google, DeepMind is done training a new checkpoint, and then they push a button, and it gets blasted out across all their surfaces from Google Docs to,Swyx [00:20:01]: Everywhere, even if I don't want it.Alex Atallah [00:20:02]: Everywhere. You wanna know about, like, on Android, like, overnight, they can deploy a new checkpoint to, like, a billion devices, right? And that invisible infra advantage, distribution advantage, most people don't realize, but until OpenRouter showed up, - you had to think about all of that yourself as a model lab. And it was very daunting. at Anthropic, I think it took, well, more than twelve months to get to our first 10 million in revenue. And in contrast with Black Forest Labs, I remember the early days, you guys had a conversation with the BFL team, and, it was so simple for OpenRouter to say, “Oh, no problem. Like, the day you launch, we can send 1 million developers to you.” that was crazy. That was like a step function change in, like, an hour.Swyx [00:20:46]: Is that a real number, a million?Alex Atallah [00:20:47]: I,Swyx [00:20:48]: Okay. All right.Alex Atallah [00:20:48]: I think today it's, like, 4 million. How many developers are on OpenRouter today?Anjney Midha [00:20:52]: Over ten,Alex Atallah [00:20:54]: Yeah.Anjney Midha [00:20:54]: Over 10 million, but, like, it's, it's hard to, youAlex Atallah [00:20:59]: I, yeah, I don't know how to. Yeah.Anjney Midha [00:21:00]: We do a lot of, like, account duping work, but, noAlex Atallah [00:21:04]: If you could get 1,000 developers, just to put in context If you get 1,000 developers who try the model on day one after you release it and just, like, do inference and give you feedback, that's a thousandAnjney Midha [00:21:15]: That's hugeAlex Atallah [00:21:16]: More developers than they knew how to get to on their own.Swyx [00:21:19]: Well, BFL had a reputation, but yes.Alex Atallah [00:21:21]: They had one in Stable Diffusion.Swyx [00:21:22]: Yeah.Alex Atallah [00:21:23]: And with Mistral, I don't know if you guys remember, but the first checkpoint they released was, like, torrents. It was, like, torrent weights.Swyx [00:21:31]: Yeah, they just put up a magnet link.Alex Atallah [00:21:33]: Yeah, there was no API.Anjney Midha [00:21:34]: Yeah.Alex Atallah [00:21:34]: Because they didn'- they weren't infra people.Alex Atallah [00:21:37]: ? Like, it's like, okay, download these weights, and you guys go figure out how to host it.Swyx [00:21:39]: Well, he has a story on his side, yeah.Anjney Midha [00:21:41]: Yeah, in addition to the, like, building a really good developer experience around it, the marketing that we do on, like, for different models is totally different and perceived totally differentlyAlex Atallah [00:21:54]: RightAnjney Midha [00:21:54]: From the marketing that a model lab does for itself.Alex Atallah [00:21:56]: Yes, 1,000%.Anjney Midha [00:21:57]: Right? We are like a, neutral layer looking at this market like it's a big dark room with all the corners completely obscure to users, and users are walking into the room and, like, feeling aroundAlex Atallah [00:22:09]: YeahAnjney Midha [00:22:09]: And trying to figure out what objects to grab off the tables and, like, build into, their companies. And it's just an insane way of working. Like, models are not products where you can just enumerate all their features onto a web page. They're all black boxes, including the open weight ones. So you need to, like, shine lights on all corners of this room, so that people can see what makes this model good, and you need the company shining that light to be a neutral third party, which is what we specialize in. So the, like. It'- In addition to developer experience, there's also, like, a very important, like, marketing and product packaging componentAlex Atallah [00:22:50]: YeahAnjney Midha [00:22:50]: And a way of, like, routing and discovering models becomes, like, critical to your market as a provider or a model lab or a server tool and more in the future.“Just a Wrapper”: Why VCs Misunderstood OpenRouterAlex Atallah [00:23:03]: And this value, to your earlier point about how many VCs, like, just don't. One of my biggest frustrations is that venture capitalists, many of them, like, just don't have any operating experience in the field. so unlike a traditional investor who's just maybe come up through the ranks as, like, a associate working on financial modeling or maybe hasn't been a real operator in the field for, like, more than ten years, which is a big part of the industry now, I had just arrived at a16z, like, a year after running the platform. And so I knew what the challenges were of, like, building a real - great developer experience and like, being able to create a working piece of software with a model. And there were a few, I won't name names, but there were investors who were looking at OpenRouter, and, felt at the time, like, when I would compare notes with people, that it was just, I quote unquote, “just a marketplace.”Swyx [00:23:59]: Yeah, just a thin layer, just aAlex Atallah [00:24:00]: CorrectSwyx [00:24:00]: JustAlex Atallah [00:24:01]: A wrapper or whatever on other people's APIs. And I was like, “You have no idea how strategic the value that OpenRouter has created by being able to orchestrate even three.” APIs in production. The amount of both engineering work and community design that goes into getting that live and running in production at the scale the OpenRouter team had started just doesn't happen by default. And that was one of the things that stood out to me about Alex from the earliest days. Like, he just understood, like, - from a systems perspective, like, how do you get these flywheels going? Like, that stood out to me with OpenSea when we were working together on the NFT integration at Discord. Like, Alex had a level of community-- like, systems thinking on how you get these flywheels going that most scientists and machine learning people just don'tAlex Atallah [00:24:48]: Think of. Like, we often think in terms of training.Swyx [00:24:52]: It's a linear stage.Alex Atallah [00:24:53]: It's this linear pipeline.Swyx [00:24:53]: There's no loop yet.Alex Atallah [00:24:54]: Yeah. It wasn't until much later that the modern context feedback loop cycle really got standardized in the industry. But at the time, if you remember, machine learning was like. Like, mostly we did a lot of ML, like, when I was in grad school on a laptop. So you just, like, download a dataset, ran some ablations, and you looked at the loss curves, and you're like, “Great, I made AI.” And the idea that you have to, like, deploy those capabilities, collect feedback trajectories, then, like, put those into a continuous loop, like, came much later. And it was very counterintuitive to the - like, the traditional AI mindset. I do remember doing the investment phase for, OpenRouter, I just didn't try and educate a bunch of other VCs on why it was not just a marketplace. I was like, “ what? I'm just gonna invest.”Anjney Midha [00:25:41]: Yeah.Alex Atallah [00:25:41]: And I'm going to, like, take the opportunity to partner with Alex, and if - no other VCs get it, that's totally fine. ‘Cause at the time, - it was not obvious, I think, to several of the investors that, like, OpenRouter was not more than just a wrapper around APIs. And - that infuriated me. And I was like, “ what? I don't have time to debate you. I'm - we're gonna, we're gonna invest.” And then I think, like, a month later, Matt Murphy marked it up by 10x. Like, - I think. I forget what the exact money was and so on, but, to his credit, Menlo Ventures realized, “Okay, there's much more strategic value here as well.” Maybe you didn't hear all these conversations behind the scenes But that frustrated me a lot. there's a lot of this, like, opining about wrappers. and if you're like, “Oh, an app is just a wrapper on a model,” then, like. And, OpenRouter is, like, this wrapper on top of other APIs, and this is the most stupid, reductive framework.Alex Atallah [00:26:31]: And so it's clearly somebody who has no experience deploying product at scale.Swyx [00:26:34]: It's the thing you dismiss other things with. Like, you're a - everyone's a wrapper on everything, right? Like, and there's, there's some Some wrappers have value.Alex Atallah [00:26:40]: Investors are wrappers and LPs, right?Alex Atallah [00:26:42]: Like venture capitalists. So, yeah, it's all wrappers down, all down to bare metal, I guess, and like energy.Swyx [00:26:46]: Yeah, there - When I started the whole AI engineer, I guess, the coining, in 2023, like, that was, like, the number one pushback is that this is no value. You should just train models.Anjney Midha [00:26:56]: Right.Swyx [00:26:57]: And, yeah, obviously this is, like. you guys are one of the testaments to the fact that you can build very valuable wrappers, but also very valuable model companies.Alex Atallah [00:27:06]: It's so, hard to be. Like, the day a model launches, the fact that you have an OpenRouter, endpoint for that model frequently at the top of Hacker News on day one, people don't realize the amount of work that goes into accomplishing that. And OpenRouter used. Like, that would happen over and over again, and I remember going, “People have no idea how hard that is.”Alex Atallah [00:27:30]: That's not.Swyx [00:27:31]: Yeah, we've covered some of the inference engineering that goes behind,Alex Atallah [00:27:34]: YesSwyx [00:27:34]: Some of - with Base Ten and all those. Well, today you have, all those, like, cool code name things that people guess what Oxy Alpha is and all those things. But, like, I guess one of the things that you're teasing is, how do you get that initial flywheel going, right? Because today you have your scale and your reputation, all these things, so obviously you - you're driving immense distribution. But when you were early on, when it's mostlyBootstrapping OpenRouter Through CommunityAlex Atallah [00:27:55]: The bootstrap, yeah.Swyx [00:27:56]: Yeah.Alex Atallah [00:27:56]: What was the bootstrap like?Anjney Midha [00:27:58]: To bring it back to early Discord days, I think we, like, initially connected with. This is an OpenSea story, technically. But, and we initially connected when you were at Discord, and we talked about, like, - the Axie Infinity server.Alex Atallah [00:28:13]: Oh, yes. Yes.Anjney Midha [00:28:14]: This server was, like, the biggest server at theAlex Atallah [00:28:17]: YeahAnjney Midha [00:28:17]: At Discord.Alex Atallah [00:28:18]: That's right.Anjney Midha [00:28:19]: And you were like, constantly bumping up theAlex Atallah [00:28:22]: The limits on the server. Oh, my GodAnjney Midha [00:28:24]: Of how many people could be in the server.Swyx [00:28:24]: For those who don't know, like, 10% of Philippines was Axie.Alex Atallah [00:28:29]: Was on that server. That's a big hit.Swyx [00:28:31]: It was, like, a meaningful contributor to the GDP of the country.Alex Atallah [00:28:33]: It was an NFT, like, crypto game, but itSwyx [00:28:35]: It was like a Pokémon breeding thing.Anjney Midha [00:28:36]: Yeah.Alex Atallah [00:28:36]: Yeah. Similar. Yeah. There was battling, there was breeding, and then there was, like, a marketplace for trading.Swyx [00:28:43]: Earn as well.Alex Atallah [00:28:45]: Yeah, earn. And, like, the graphics were really cute and fun, and you like, you get emotional about your Axie that you make. So to, like, start a community like that, which we had to do many times at OpenSea with every early project, for us to create a marketplace for it, we need to make sure that the, like, the community wants it.Anjney Midha [00:29:09]: Right.Alex Atallah [00:29:09]: And it's like building something that people want and going and telling them about it. Like, you can do that on a one basis, but there's way higher leverage to do that in a community where everyone can talk to you at the same time. So we spent a lot of time, like, building things that the community really wanted. We did the same thing for OpenRouter. And, like, the Axie community was one of, like, a zillion communities we did that with. And Anj, like, saw us doing it and. ‘Cause you could just see people sharing OpenSea links constantly in that Discord. Like, users sharing links is a really clear indicator that, like, something important is going on. So we spent, a lot of time, like, first figuring out what the gap is in the technology that people care about. Like, what was the actual problem that needs to be solved? in early LLM days, it was, OpenAI refusing to finish the prompt or,Anjney Midha [00:30:09]: YeahAlex Atallah [00:30:10]: To, like, complete the task. It was also.Anjney Midha [00:30:13]: Inability to customize models. and so there are communities that, like are just completely blocked on that issue, and those are the communities that are most useful to learn about and dive into and explore.Alex Atallah [00:30:28]: Something that really struck me at that time, - as I was just hearing your talk, I remember noting - you may not remember this, but we - we had these, like working, Zoom calls that we were doing a sprint around for, like this OpenSea integration with Discord. and, we'd, we'd - it was myself, my engineering team. I think you were there. And I remember, Alex, in the middle of one of those calls, just like there was like silence. we were all like, “Oh, yeah, this totally makes sense. Let's do this.” And then there's - every, like everybody aligned. And Alex was like, “No, this makes no sense to me.” And everyone's - I remember going, “What? Like, it works. Like, you click on a link and this, then it bounces you out to, like, OpenSea.” And he was like, “It's not a good user experience. Yeah, we should not do this.” And I remember going, he was the only one person out of all of us to raise his hand and go, yes, it made sense from a technical implementation perspective. Like, we were bouncing the user out into the, into OpenSea. And so it kinda checked the box of the product manager's requirements on both sides. But Alex went one step further and was like, “ what would be better, guys? If we just embedded the experience right here inside of Discord so the link opened up as an embedded iframe, and you can just check out right there.”Alex Atallah [00:31:47]: And not one person on the call, and there's like seven of us who had met, like, week after week.Swyx [00:31:52]: And it's the guy who doesn't work for Discord.Alex Atallah [00:31:53]: And it's the guy who doesn't work for Discord.Swyx [00:31:55]: Like, technically, you benefit if they bounce.Alex Atallah [00:31:57]: Exactly. And that was, like, adversarial. To keep the user inside of Discord would be adversarial to OpenSea. And yet Alex put that user experience first. And I was like, “That's special.”Swyx [00:32:08]: Wow.Alex Atallah [00:32:08]: Because it's very hard to have somebody who's technical like Alex and understands the developer flow, but also understands the best user experience and wants to prioritize that. And that's two sides of the flywheel that if you can get spinning, like is often hard to stop. And you just reminded me, like that one was one of those moments where I go, I - I realized I gotta be better at user experience because I should have been the one who came up with that, and I didn't. And I learned from you. And, I think that went into one of our case studies for the PM training program at Discord.Swyx [00:32:34]: Whoa.Alex Atallah [00:32:36]: I don't know if it there is Because ofSwyx [00:32:38]: You need an Alex is the conclusion.Alex Atallah [00:32:40]: Yeah. You need an Alex. And this is why I'm not, nobody should be surprised why Stripe decided like they had to buy OpenRouter because it's a really rare combination of people who understand the machine learning community, the developer experience, and the user experience. And putting all that together has resulted in this extraordinary scale that very few other marketplaces have been able to achieveWindow AI, BYOM, and Finding the Right Form FactorSwyx [00:33:02]: Yeah.Alex Atallah [00:33:02]: Over the last, five years.Swyx [00:33:04]: Yeah. Well, we should talk about the other reasons for acquisitions, whichAlex Atallah [00:33:07]: Yes, we should.Swyx [00:33:07]: You've written about. I wanna proceed somewhat chronologically as well. So - there is a point that, one of the questions that, Dave from H of Zero sent in was, when did it - really started to work? And you brought up Mixtral. I don't know if you wanna bring up that story.Alex Atallah [00:33:22]: Oh, yeah.Swyx [00:33:23]: Which obviously you overlap with, so.Anjney Midha [00:33:26]: Yeah, the MoE was. I don't know when. there's no like one moment where I was like, “Oh, this is, officially starting to work.” It wasSwyx [00:33:36]: The moment where you had a Chrome extension, like, really super early on.Anjney Midha [00:33:39]: Oh, yeah. But, well, - yeah. So before OpenRouter, I wanted to, like, explore a bring-your-own-model experiment. And,Swyx [00:33:47]: Which anyone familiar with crypto is like, yeah, Phantom and all these things.Anjney Midha [00:33:50]: Yeah. So it felt like doing a MetaMask analogy for AI would be a fun way of exploring that. And at the time, there were no AI apps. There were probably as many AI apps that were, like, hitting AI - like, hitting an LLM via an API call as there were, like, games just doing it in JavaScript. like there was a, there was a moment in time where it could have been the case that web apps call LLMs through the browser, like through some desktopAlex Atallah [00:34:27]: Yes.Anjney Midha [00:34:27]: Managed app that is controlled by the user. and of course, there are like, I think, many reasons that did not happen. But back when the days were that primordial, I built a Chrome extension called Window AISwyx [00:34:43]: With Plasmo.Anjney Midha [00:34:44]: With Plasmo.Swyx [00:34:45]: I had come across early on, and I was like, “Who's gonna use this?” You did.Anjney Midha [00:34:49]: Plasmo had a couple, like, I think Phantom was using it. there were some other, like real companies using it.Alex Atallah [00:34:56]: It was like a shim.Swyx [00:34:57]: React for Chrome extension. It compiles to allAnjney Midha [00:35:00]: Yeah.Alex Atallah [00:35:00]: I see.Anjney Midha [00:35:00]: Like Next.js for Chrome extensions.Swyx [00:35:01]: Next.js, Next.js.Alex Atallah [00:35:02]: Okay.Anjney Midha [00:35:03]: And yeah, built Window AI on top of it. The creator of Plasmo, like started contributing code to Window AI, in GitHub, and that turned out to be Louis VicchiAlex Atallah [00:35:15]: Oh, you'Anjney Midha [00:35:15]: Who is the founder of OpenRouter.Alex Atallah [00:35:17]: That's right. You have told me this is how you met Louis. Yes.Anjney Midha [00:35:19]: Yeah.Alex Atallah [00:35:19]: Okay.Anjney Midha [00:35:20]: So, that allowed users to like configure which model they wanted to use for a web page in their browser, and then, like the app would just call out to that model when it needed to do things. not the right form factor for LLMs, but, it's like fun experiment. You learn a lot, and like I open sourced it. And the main learning is like, okay, this has to be an API, and it has to look a little bit - like, there has to be more of a developer experience here and more of a discovery experience as well. Like, I don't know where to use these models, and a little Chrome extension is not gonna help me discover. It's not enough real estate. I need more space. I need visuals. I need graphs. I need, examples. I need images. I need to, like, I need to be able to, like explore both as a human and as an agent.Crypto, Midjourney, and the Early Generative AI EcosystemAlex Atallah [00:36:10]: Yeah.Anjney Midha [00:36:10]: So that's how OpenRouter came to be.Alex Atallah [00:36:13]: A meta point that.Alex Atallah [00:36:16]: I think is underappreciated, but Alex is reminding me, is that we were quite lucky that we were so. we were, like, adjacent to the crypto community in those days. Because in hindsight, crypto ended up being like a dress rehearsal for generative models, right? If you think about the Axie experience, Alex is totally right, there were not that many AI apps at the time. And while I was dealing-- my job was to be the head of platform at Discord, which meant to be a general purpose place for communities and friends to create-- for developers to create apps and bots and, other services that could be deployed across Discord. And while 80% of the attention at the time was being spent on crypto, because that's where all the NFT volume was, there was, like, twenty percent of my time I was spending with a friend, who would get hotbot with me and ask me for. We would play Magic: The Gathering on weekends, and he was working on a little Discord bot that could take a text input and turn it into an image, and it was called Midjourney. YouSwyx [00:37:15]: Is that David?Alex Atallah [00:37:15]: It was David Holz.Alex Atallah [00:37:16]: He was a good friend. And David and I have both been failed ARVR founders, in the before that. And, I remember this. Midjourney was one of the fastest-growing communities we had after Axie Infinity started to peter off. And many of the, like, the abstractions and the infrastructure decisions we made to scale Axie happened just in time because they. Axie did this and then fell off a cliff. And then as Midjourney was taking off, we, like, explicitly decided to help David make the server, the Midjourney server, as the primary place for interaction with the model, because it was very hard for people to understand how to use the model if they couldn't see other people using it and copy them. And so the single-player Midjourney web app on its own, like midjourney.com, had, like, terrible retention because people would show up, they'd see this empty field. It's like E 2, and they would type in, like, cat or dog. And it was, like, paralyzing for them to have this blank canvas that they had to fill because they'd never used an AI model before. But instead, in a Discord server, you could see other people using it and riff off of their prompt, and the engagement was off the charts. And so scaling, Midjourney from zero to, like, 10 million monthly actives was a much smoother approach Axie Infinity. And so,Swyx [00:38:29]: Don't forget the best of four pictures, and you choose one.Alex Atallah [00:38:31]: The best, yeah, and then the other, weSwyx [00:38:32]: Which is the feedback loop.Alex Atallah [00:38:33]: The RLHF feedback loop, which, by the way, separately, like, Tom Brown, David and I used to play Magic: The Gathering on weekends. And so, like, it was one group of friends would hang out, and we'd. Like, these concepts were all being discussed all the time. But, there was.Alex Atallah [00:38:47]: I think there were few of us who bridged both the crypto worlds and the AI worlds. And compared to crypto, where it was - the question was always, what's the use case, for this technology? There was never any need to ask that for AI because it's, like, the use case was so visceral. It was like, I can create now anything at - I can imagine. I can write novels, I can code. And the infrastructure that those of us who believed in the distributed systems, like, value of crypto, like the censorship resistance part, found this use case that was explosive. And I think between Midjourney, the, Claude was a Discord bot launch, that we were using internally as an LLM. ElevenLabs had a TTS model that we had on Discord as well. Like, Discord became this petri dish for, like, early apps to innovate. And I don't think it's a coincidence that they found a home there before OpenRouter gave the world, like, a public home store or, like, a, storefront. Discord was this, like, almost petri dish storefront that - had, like, piggybacked on the infra we'd built for crypto communities. And then I think Alex was one of the first people to realize, wait a minute, like, these apps need their own home, on the internet. And then OpenRouter, to me, was a continuation of that community's needs. And of course, there was the crazy distribution that you enabled for a lot of these developers.Why OpenRouter Couldn't Just Live Inside DiscordSwyx [00:40:07]: So then my question is, how come you were. My perception is OpenRouter is not that Discord-centric, right? You have a Discord.Anjney Midha [00:40:14]: Yeah.Swyx [00:40:14]: And you use it to engage your community, but it's not like Midjourney where, like, no, that is like the primary way people experience OpenRouter.Anjney Midha [00:40:21]: Yeah, Midjourney, like, it really helps to see visually really quickly how people are using the model and how to prompt it.Swyx [00:40:29]: Yeah.Anjney Midha [00:40:29]: And I think that is partly why the server was so critical. It's like it is the user experience. It adds a ton.Swyx [00:40:36]: Yes.Anjney Midha [00:40:37]: And you can go the whole mile with just, like, prompting via Midjourney, like, the, via the Midjourney Discord server, getting your images and then sharing them and having fun. For OpenRouter, for LLMs, like, you need a lot of user experience around LLMs to make them, like, really usable.Swyx [00:40:54]: Charge point.Anjney Midha [00:40:55]: And yeah.Anjney Midha [00:40:57]: The, like, seeing the examples of other people is also not as useful because it's a lot of stuff to read. It takes a long time.Swyx [00:41:03]: Yeah.Anjney Midha [00:41:04]: You need, like, based integration. Not possible to do in a Discord server. You need, Or technic- it's possible. I shouldn't say that. It's just not a great developer experience. you need, like, - you need governance for. At the point where you got based integration, now you need governance for managing the LLMs that have access to it, the data policies, which teams. All that stuff needs a lot more than a Discord server can provide. So it's justSwyx [00:41:30]: YeahAnjney Midha [00:41:30]: It's not the right.Alex Atallah [00:41:32]: Well, in addition, you're not wrong, but also there's the very important distinction that, Midjourney was an end user application.Swyx [00:41:40]: Right.Alex Atallah [00:41:40]: And, that's why Discord, which has 250 million monthly end consumers, made, it made sense for Discord to be a host for that application experience. What I knew was gonna happen soon after Midjourney found explosive product-market fit, because we. I think when Midjourney launched, from launch to $100 million revenue run rate, it was less than eight months. And shortly thereafter, Stable Diffusion launched. And, all of us used to hang out in the Discord server. There, I think it was the,Swyx [00:42:13]: The Stability Discord?Alex Atallah [00:42:14]: It was theSwyx [00:42:16]: Yeah, LAION.Alex Atallah [00:42:16]: Yeah, the LAION Discord server.Swyx [00:42:17]: The image community that spawned Stable Diffusion.Alex Atallah [00:42:19]: The image community. Yeah. And so when Stable Diffusion came out, I realized- Oh, now other people can build their own Midjourney.Alex Atallah [00:42:27]: Because until then, Midjourney did not have an API, so they were a stack company, right? They were training their own models, and they were deploying them as an application. But if you wanted to build your own Midjourney, there was no API of that quality. and I think E two was still quite primitive. Like, Midjourney had great quality. And then when Stable Diffusion came out, suddenly there was this new person who - there was - this new capability in the world, which is a developer could create their own Midjourney. And that, I think, created the need for something like OpenRouter, because then you need an API to. If you - if you had the creativity of David Holz and you had Stable Diffusion as the model and you wanted to put these things together, how could you do that without having to figure out how to host the weights? And what OpenRouter, - the shape of OpenRouter enabled is that. Right? When you have open model alternatives to closed applications, OpenRouter's value in the world becomes extraordinary because now any developer can just show up and use theStable Diffusion and the Need for a Model API LayerSwyx [00:43:20]: You just love model diversity.Anjney Midha [00:43:21]: Did you just say the shape of OpenRouter?Alex Atallah [00:43:23]: Oh, no.Anjney Midha [00:43:25]: Were you in cloud? What is this the real Han?Alex Atallah [00:43:26]: I've been, I've been - I'm, I'm misaligned now. I've been overtrained. I've been using Cloud way too much, haven't I?Swyx [00:43:34]: Claude-ish is what people would say.Alex Atallah [00:43:35]: Claude-ish. Oh, God, I gotta untrain myself.Swyx [00:43:38]: Okay. - And I just wanna cap off the Mistral side. my TLDR is there was a Mistral price war, is what they called it, right? Like, round about NeurIPS is twenty-three or twenty-four.Mistral and the Birth of the Inference MarketplaceAnjney Midha [00:43:47]: Yes. DecemberSwyx [00:43:48]: They launched, the Mistral 8x7B, and like the price went down like 80%.Anjney Midha [00:43:54]: Yeah.Swyx [00:43:54]: To me, that's very positive because it's like the first, like, real competition to host Mistral. Is there more?Anjney Midha [00:44:01]: Yeah, that was. I'm, like, trying to remember it, all the things that happened. It. Like, we saw that model come out and immediately saw people say that it was the best model in the world.Alex Atallah [00:44:15]: Yes.Anjney Midha [00:44:15]: Like, this was, to my knowledge, the first time an open weights model was called that in real seriousness.Swyx [00:44:22]: It's hype, right? Is it?Anjney Midha [00:44:25]: It was hype. It was hype. It was also, like, hype from AI influencers at the time. And there were many examples where it was, like, outperforming four. So people really wanted to try it out and see, is this gonna be true for me too? And if so, at what price? And, the, like, inference landscape was really messy.Alex Atallah [00:44:49]: Yes.Anjney Midha [00:44:50]: We cleaned it up. - it allowed, like, providers to compete on price, so we could give you just the best price in one spot. And so it was, I think, the first clear example of, like, a provider marketplace working in a way that adds value to end developers.Alex Atallah [00:45:08]: Sean, you may not remember this, but I think we met for the first time a few days after Mistral came out at NeurIPSAnjney Midha [00:45:15]: Yeah.Alex Atallah [00:45:15]: At a luncheon.Swyx [00:45:16]: Yeah. That's where I also met BFL as well. Yeah.Alex Atallah [00:45:18]: And Guillaume was there.Swyx [00:45:19]: Yeah.Anjney Midha [00:45:19]: I was at NeurIPS at that time.Alex Atallah [00:45:20]: You were there too. And, we had just announced the Mistral investment, and I remember Guillaume was over there, and I remember turning to Guillaume and asking him, Like, “Is it is all the. Like, how are you feeling after the launch of Mistral and seven B?” And, him in his typical French fashion was like, “ it's a, it's an okay model. It's not that good.” And I was like. It was so, in contrast. But I remember him also saying that part of the reason he felt a lot of people Thought that it was better than four was because of the speed. - it was an MoE model that they had, like, absolutely figured out how to make super efficient. It was on the Pareto frontier. And this is an important thing about LLMs, right? Sometimes when they're faster, you think they're smarter, even though, like, if you did, N of, these common, like, evals that are - you do seven tries, and I don't remember. I think we should go back and figure out what the data says, but I wouldn't be surprised if it turns out, oh, on an N of seven attempts, four was smarter on evals, but the perception of on, like, or correctness would be smarter or more accurate. But, people, like, from a human preference perspective felt that it was faster because it - or smarter because it's so fast.Swyx [00:46:36]: Yeah. And most queries do not take that levelAlex Atallah [00:46:39]: Don't take that. That's true.Swyx [00:46:40]: Right? So this is the start of humans as routerAlex Atallah [00:46:42]: Yes.Swyx [00:46:42]: Which then eventually becomes OpenRouter as router of like theAlex Atallah [00:46:45]: Oh, that's interesting way to think about it. Yeah.Swyx [00:46:47]: Like, because humans are the routing mechanism. Like, I will ask the fast model first, and then if, like, oh, not good enough, I'm gonna upgrade manually.Alex Atallah [00:46:52]: Yes.Swyx [00:46:53]: But then he's gonna auto it.Alex Atallah [00:46:54]: I didn't, I hadn't thought of it that way, but that makes sense.Swyx [00:46:57]: Which then there's, there's a lot more techniques, like fusion. Fusion is the thing that we should talk about. Before I move on to those things, I just want to close off the early years. one thing that I observe, which you are also an investor in Arena.OpenRouter vs. LM ArenaAlex Atallah [00:47:10]: Right.Swyx [00:47:10]: And we talked about Midjourney having that feedback loop of, A, B, C, D, and choosing that very. being very important. And you understand the flywheel. So how come you didn't build Arena, and how come Arena didn't build OpenRouter?Anjney Midha [00:47:23]: Well, Arena started before OpenRouter, right?Swyx [00:47:27]: They had the school projectAnjney Midha [00:47:29]: Yeah, LMSwyx [00:47:29]: And then it became a company.Anjney Midha [00:47:31]: LM Arena, yeah.Swyx [00:47:32]: So, but, and I know you had some Arena experiences, like the up comparison type things.Anjney Midha [00:47:37]: Yeah.Swyx [00:47:37]: But you never really went as hard as Arena did.Swyx [00:47:40]: And,Anjney Midha [00:47:40]: In doing up experiences?Swyx [00:47:42]: Yes. And LM Arena did have a router project based on LM Arena ELOs, which they never commercialized.Anjney Midha [00:47:48]: It's hard to do a company that does both because one company is taking data and selling it, and the other company really can't by default. So, I think there is, like, a branding reason that there are two companies here. like, when you set up OpenRouter, there's no training, there are no prompts, right, aside from what your provider policy set. Like, OpenRou- like, OpenRouter can't see your prompts or completions. If you want to see that as an org, you have to opt into it and enable it. And so we're, like, pretty conservative and careful about data policy and security. And privacy. And LM Arena is like, their business model is like oriented around the labs and,Swyx [00:48:34]: Because they give it for free, right? You don't give it for free to give it for free.Anjney Midha [00:48:37]: Yeah.Anjney Midha [00:48:38]: But we do give some. We like have free endpoints too, but like those free endpoints, we, I think we're not collecting any prompts. We're not like monetizing the data unless you, opt into it for some reason.Alex Atallah [00:48:48]: This comparison. you're not the first person to ask me this, and Alex knows this, but I was the interim, like the founder, like first CEO of Arena for the first five months when, and we were helping Anastasios and Waylin spin out of Berkeley. And, I did invest in that before, OpenRouter, but it was very strange to me the comparisons that outside, folks would make between the two projects because the missions were completely different. The founding entity for Arena, we called it the AI Reliability Institute because it was there as an eval service. Like the data, so to speak, that they were originally, offering the labs was how do you make the evaluation of models more reliable than like the state of the art at the time, which was like really just finger in the wind.Alex Atallah [00:49:38]: That's what Anastasios and Waylin's PhD work was as scientists at Berkeley, was on statistical methodologies for correcting, eval estimates, based on like intrinsic biases and how you collected the data.Swyx [00:49:54]: Yes.Alex Atallah [00:49:54]: AndSwyx [00:49:54]: Style control.Alex Atallah [00:49:55]: Style control and stuff like that. And which is very much like a, hey, how. If you're a scientist and you're trying to. the highest expectation customer for Arena was always like a training and, like a researcher at a lab. Whereas the highest expectation customer from my perspective that Alex like really understood and was the mission was to serve was like a developer, right? Who then takes the result of the research and then produces an application that's deployed to the world. It was a completely different problem and person that these two teams were focused on. And so from the outside in. I don't know if you remember this, but I have a distinct memory of a few weeks before we did the term sheet, together for OpenRouter, I'd given you a call because we were trying to get a pooled data set together from OpenRouter and from Arena to, create like an open source repository of prompts. these projects were so different in their goals that it was totally normal to me to be like, “Oh, yeah, let's call Alex and see if he'd want to team up on pooling data,” because they're so different. We need. We don't have that data at all. We. Like, we didn't have API prompts. We didn't, we didn't have like what developers want to do with the models, which is very different from what researchers inside a model lab want to do before releasing the model.Swyx [00:51:15]: Yeah.Alex Atallah [00:51:15]: Does that make sense? And so to this day, I think you see that this difference, even though at a 30,000-foot level you could. I guess you could conclude that Arena and OpenRouter are adjacent, but, the roadmaps, the missions and so on at the time at least were like in very different directions.Swyx [00:51:36]: That ideal customer, I get. I totally get that.Alex Atallah [00:51:39]: Yes.Swyx [00:51:39]: As a founder, I want to own everything, right?Alex Atallah [00:51:41]: That's possible.Swyx [00:51:42]: Like this is clearly an adjacency that I'm like gonna explore that.Anjney Midha [00:51:45]: Own everything meaning like you don't know what to do yet, so you wanna like make sure you catch PMFocus, Anthropic, and Roads Not TakenAlex Atallah [00:51:51]: No, I think what heAnjney Midha [00:51:52]: As quickly as possible.Alex Atallah [00:51:53]: You want to own the entire infrastructure space, and so you expand to whatever demand you can capture.Swyx [00:51:58]: You want to have a play in each end.Alex Atallah [00:51:59]: Yeah, I think that's, that's hard, in reality, because serving multiple customers is difficult.Swyx [00:52:05]: Clearly, this is the one focus, right?Alex Atallah [00:52:08]: Yeah.Anjney Midha [00:52:08]: Yeah. I still think even in the age of AI, like focus is,Alex Atallah [00:52:12]: Is criticalAnjney Midha [00:52:13]: Underrated and critical, not just because you end up with a better product by focusing your humans on it, but also because the world knows what your focus is.Alex Atallah [00:52:22]: One thousand percent.Anjney Midha [00:52:23]: The world can map like, “Oh, I have this issue. Which brand out there is going to help me with that issue? This is the brand that's known for that focus.”Alex Atallah [00:52:31]: Yes.Anjney Midha [00:52:32]: So like if I want real attention on this issue, like this really matters to me, I should go with the brand that cares the most about it.Alex Atallah [00:52:39]: To underscore Alex's point about how important focus is, in the early days of Anthropic, it was not easy to. Like people think that the early days of Anthropic were like super easy because they were on their 3 guys who left, but it was very

 1.  JUICIO DE LA PAGUERA: Se calientan los motores en un juicioaltamente político que demuestra el poder de la familia de la gobernadora enuna ilegalidad2.  3PPO se prepara para ir al tribunal contra New FortressEnergy por suministro de gas natural. El presidente del organismo, OsvaldoCarlo, dijo que la gasífera no ha cooperado con el proceso, mientras el barcoque espera a las afueras de la bahía se está quedando sin suministros3.  Junta de Planificación proyecta crecimiento económicopara 2026 y 20274.  Gobernadora mantiene en funciones asubsecretario del DDEC durante investigación del FEI5.  Rivera Schatz dice testimonios podrían demostrar queDomenech mintió y cuestiona explicaciones del Zar6.  Identifican alternativas para mejorar la calidad de vidade adultos con discapacidad intelectual7.  Negociado de Energía ordena a LUMA informar cada 15 díassobre acuerdos de alumbrado público8.  CPI demanda al Departamento de Hacienda por informaciónsobre créditos a fundaciones9.  Estudio estima en $142 millones la actividad económica delos hospicios en Puerto Rico10.             Mickey Mousecumplió 97 años: ¿Qué edad tienen los 'muñequitos' de nuestra infancia? Te daréuna lista de 20 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.    X61 – 610 AM en Patillas5.    X61 – 94.3 FM Patillas y todo el sureste6.    WPAB 550 AM - Ponce7.    ECO 93.1 FM – En todo Puerto Rico8.    WLRP 1460 AM Radio Raíces La voz del Pepino en San Sebastián9.    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. 

PODCAST LAS NOTICIAS CON CALLE 24 DE SEPTIEMBRE - La Junta Fiscal habla con los federales sobre Power Expectations y no dice con quién (El Vocero, p. 4)- Mujica dice trataron de cogerlo de pen#$%$#, la 3PPO de Carlo Linares dio "respuestas parciales que omitían información relevante"" (El Vocero, p. 4)- La Junta advirtió en octubre de 2025 que el contrato de gas no garantizaba otro suplidor en una crisis; once meses después San Juan quema diésel (END, p. 6; Metro en línea, 14 oct 2025)- 3PPO exige a Genera definir cómo trae gas; dos unidades y siete generadores con diésel a tres o cuatro veces el costo (END, p. 6)- 84 centímetros es lo que no permite que se enchufe barco con Central San Juan (END, p. 6; El Vocero en línea, 23 sep)Apagón brutal de anoche fue causado por LUMA - ¿Quién paga el diésel? Contrato dice que dueños de Genera si no fue fuerza mayor (END, p. 6)Un momento para WindMar Home — la empresa con más de 20 años protegiendo los hogares puertorriqueños.Solar para bajar tu factura. Techo para proteger tu inversión. Agua para que nunca te quedes sin — especialmente con las sequía. Y batería para total independencia energética.Todo bajo una misma empresa. Un solo llamado. Llama al 787-489-1155 o visita windmarhome.com#windmarhome #incluyeauspicio - La Cámara no sabe si refieren a Josué por Perjurio (END, p. 8)- La AEE soltó el privilegio abogado-cliente el 19 de septiembre; la AAPP y la Oficina del Zar todavía no (END, p. 8)- Desastre del ERP continúa, $362 millones sin pagar por el nuevo sistema de contabilidad (END, p. 26)- Cuatro administraciones gastaron $11 millones en un ERP que nunca arrancó; el de ahora arrancó y no paga (END, p. 26)Trump va a prohibir la exportación de diesel para bajar el precio que subió otra vez - Politico Llega Xi a Estados Unidos y comienza reuniones con Trump - USA Today - Educación tiene 40% menos estudiantes que en 2016, fondos federales bajaron en 70% y la Junta aún espera el plan (El Vocero, p. 6)- La Junta dice secretario de Salud "ahora sabemos que ellos no escuchan" (El Vocero, p. 6)- Corrección le debe $17.8 millones al agua tras siete meses sin pagar (END, p. 10)- Ocho agencias y siete municipios le deben a la AAA (END, p. 10)- La AAA dice que el valvuleo es "mala costumbre", pero sin él no llega el agua (END, pp. 4-5)- Hacienda nos manda pal y dice que no va a eliminar la crudita, $15.50 por barril y entre $371 y $679 millones al año (El Vocero, p. 21)- Camioneros no van a paro pero amenazan con que al cliente que no pague el ajuste por diésel lo dejan sin servicio (El Vocero, p. 21)OpenAi ChatGPT intentó hackear todavía más entidades sin que los humanos se dieran cuenta - NYT - Alcaldes del PPD contratan un CPA para pelearle a la Junta los arbitrios de construcción (END, p. 13)- El Vocero seguirá impreso dicen en Editorial - El DRNA viajó a Tennessee por unos $8,000 para comprar una "caja negra" para sus lanchas para vigilar a sus empleados (El Vocero, p. n/v)- Coronel dice que el superintendente le tiene "un odio africano" (El Vocero, p. 14)- Puerto Rico es la jurisdicción que menos usa hospicios (END, p. 24)- American Airlines aumenta a 23 vuelos diarios desde San Juan este invierno, la mayor operación en 13 años tras la salida de Spirit (END, p. 28)Vuelve a treparse el petróleo y la deuda de los USA y otros países vuelve a treparse - Axios  • ⁃ Dinamarca jura que Rusia prepara un ataque a la OTAN pronto, Trump invita a Putin a Mar a Lago - FT 

This show has been flagged as Clean by the host. Webp is meant to replace GIF, JPEG, and PNG. Its features include: Lossy compression Lossless compression Metadata, including Exchangeable Image File Format (EXIF) and Extensible Metadata Platform (XMP) Transparency (an "alpha channel") Embedded ICC (International Color Consortium) profile Multiple frames (animation) The typical expectation is to achieve equal or better visual quality as a JPEG or PNG or GIF, but with a savings of 25% to 35% on file size. This is famously difficult to measure, because if you concede to an equal file size, then the quality ought to be better, but there is a "ceiling" to quality that can be detected by the majority of human eyes. So the metric is the unmeasurable: How good does it look to you? If it looks as good or better, and the file size is smaller, then it can be said that the format is superiour. The best and most common test is to look at an image compressed with JPEG or PNG compression, and then look at the same image compressed by WEBP. If you can't tell the difference, and the file size of WEBP is smaller, then it's an improvement for disk space and bandwidth. WEBP is an 8-bit format (based on the VP8 video codec) and lacks support for 10-bit, 12-bit, or 16-bit colour. Specifically, WEBP is YUV420, where Y is Luma (brightness and darkness), and U and V are Chroma (colour). Each 8-bit pixel in the UV (Chroma) corresponds to a 2-by-2 block of 8-bit Luma pixels, or in other words, Chroma gets half the resolution of Luma. This is not uncommon, because how sharp an image appears to the human eye is mostly (not entirely, to be fair) influenced by Luma. Our eyes differentiate bright from dark better than our eyes perceive subtle shifts in hue. The ICCP chunk starts with a 4-byte declaration (the ASCII string "ICCP"), then a 32-bit integer representing the length of the payload, then the payload (the ICC profile specification according to the International Color Consortium), and then optionally a byte to pad the header. The embedded ICC profile can define any old colour space you want. If none is defined, sRGB is assumed. The libwebp library only parses the ICC profile, it doesn't actually handle conversion. That's left to the client application, which is why you might get a notice sometimes in GIMP or a similar application about a colour space mismatch. (It's generally safe to convert to your current colour space, and if it's not then you'd know it because you're working in a multimedia production house where colour spaces and colour profiles are significant.) Converting to WEBP is available in most applications, at this point, including Image Magick and the cwebp command. Image Magick: $ convert foo.tiff foo.webp Or using cwebp with -q for a quality 0 (low) to 100 (high), and -o for output: $ cwebp foo.tiff -q 60 -o foo.webp Test images are available from a Mozilla test suite. Or you can test on a Hacker Public Radio image, such as the screenshot of the upload form on the episode_show_notes page: $ wget https://hackerpublicradio.org/images/upload_form.png $ cwebp upload_form.png -q 50 -o upload_form.webp $ ls -gl -rw-r--r-- 1 users 308K Sep 16 13:56 upload_form.png -rw-r--r-- 1 users 79K Sep 16 13:57 upload_form.webp References Developers Google Salivity.github.io Mozilla Provide feedback on this episode.

PODCAST LAS NOTICIAS CON CALLE 18 DE SEPTIEMBRE - Buscan extender fondos de recuperación de María hasta el 2035 porque se empiezan a perder fondos de María - El Nuevo DíaA legalizar la casita de los suegros de la gobernadora- El Vocero Costaban 311 millones, ya van por 373 millones las 6 peakers que iba a comprar Genera, culpan a los aranceles - El Nuevo Día Hoy testifica Mary Zapata exdirectora de la AEE que renunció tras contrato de Power Expectations - Jay Fonseca PR Trump le quita credenciales de prensa a CNN, MS Now y Politico Delcy Rodríguez llega a la ONU para Asamblea General, se va a reunir con Trump Indagan por seguridad en hospitales tras caso de agresión sexual por guardia de seguridad en hospital - El Vocero Ya mismo van las concesiones de reserva en la Parguera - El Vocero USA y China acuerdan diálogo sobre inteligencia artificial, cumbre entre Xi y Trump comienza miércoles a viernes - Bloomberg  Guerra por Miss Universe ahora dicen que van para los tribunales y Miss Universe y PR se van a expresar esta semana ante la controversia - El Vocero Diez años después Anaudi como testigo estrella en caso de hermana Falcón - El Vocero Quedan fuera las candidatas a Miss Universe del Este por lío de dueños de Miss Universe: Tailandia, Indonesia, Vietnam, Laos, Malasia y Singapur "no serán elegibles" - El Vocero CERO escuelas terminadas y la LUZ más cara de la historia lo que nos dice el fin de semana del aniversario de María - 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 6 de 8 fondos de HUD son catalogados como “slow spender" - El Nuevo Día 10 billones sin obligar de María, terremotos, Fiona inundaciones de 2024 y Ernesto de fondos FEMA que duran hasta el 31 de diciembre de 2027 - El Vocero y El Nuevo Día NEPR pregunta qué unidades capaces de quemar gas usaron otros combustiblesSe quedan sin gas las plantas de San Juan tras disputa por barco mucho más grande - El Nuevo Día Maceira no fue cabildero, era asesor - El Nuevo Día Juran que el ERP sigue atrasando el pago de los suplidos del gobierno de PR - El Nuevo Día No va lo de quitar la crudita del gobierno de PR - Primera Hora Gobierno no ha recibido notificación de cancelación de fondos de FAAst pero no descartan que vengan - El Vocero Diésel EEUU en récord $6.50/galónEl contrato de LUMA ante el Supremo y reunión del Negociado de Energía sobre factura eléctrica para el lunes que viene, incertidumbre total - Jay Fonseca PR COR3 reconoció que solo se ha usado cerca del 8% y tuvo que devolver dinero La ultraderecha AfD quedó primera en elecciones estatales del noreste; el partido de Merz sufrió su peor resultado desde 1949Trump nombrará un zar de la inteligencia artificial - Axios LOS DATOS DEL DÍACierre del viernes 18 de septiembre (los mercados de EEUU no operan fin de semana)Brent: $103.87 (-0.9%)WTI: $100.30 (-1.6%)Diésel EEUU: récord >$6.50/galGas natural: ~$2.89/MMBtuS&P 500: 7,650.50 (+0.17%)Dow: 51,682.64 (-0.18%)Bono 10 años: 5.00%Euro/USD: 1.1483Hipoteca 30 años: 7.05%PR gasolina reg.: ~$1.11–1.19/litro (DACO)

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1. Rivera Schatz dice que Miss Universe será “el próximo Power Expectations” para La Fortaleza2. Presidente del Senado presenta resultados positivos de proyecto para el bienestar emocional de estudiantes en escuelas públicas3. Factura de luz podría aumentar unos $48 mensuales desde octubre según presidenta de LUMA4. Junta exige definir el futuro del contrato de generación con Gothams Energy5. La industria aeroespacial despega en Puerto Rico, pero enfrenta turbulencias por la fuga de talento.6. Cámara de Comercio reclama en Washington medidas sobre energía, salud y vivienda7. Alcalde de Cidra pide frenar posible desconexión de LUMA por disputa de $319,2168. Junta de Planificación reduce proyecciones de crecimiento económico para 2026 y 20279. La Reserva Federal sube los tipos un cuarto de punto en la primera medida de la era Warsh.10. Lavrov: "Si Europa ataca a Rusia, será una guerra muy corta"11. El hermano de Lady Di revela en sus memorias lo que Carlos III le dijo tras su muerte: “Puedes estar seguro de que pronto la olvidaremos”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. X61 – 610 AM en Patillas5. X61 – 94.3 FM Patillas y todo el sureste6. WPAB 550 AM - Ponce7. ECO 93.1 FM – En todo Puerto Rico8. WLRP 1460 AM Radio Raíces La voz del Pepino en San Sebastián9. 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.

AIUC first got our attention with the NFDG backing, and have just announced a $40M series A today, with the most impressive industry advisor list we may have ever seen for an early startup behind AIUC-1, their agent standard backed by real insurance:From being Anthropic's first product hire to building the standards, testing, and insurance infrastructure meant to make frontier AI deployable, Rune Kvist is betting that the biggest constraint on AI adoption won't be capability it will be trust. In this episode, the AIUC cofounder joins swyx and Vibhu to announce a new $40M round and explain why companies like Cursor, Harvey, Lovable, and ElevenLabs are increasingly confronting a problem that gets harder as AI gets better: who is responsible when autonomous systems fail?We go deep on AIUC-1, the emerging standard for agent security, safety, and reliability; how AI agents are stress-tested for jailbreaks, hallucinations, and data leaks; and why Rune thinks standards and insurance could become critical infrastructure for AI. We also discuss the growing trust gap between governments and frontier labs, AI-enabled cyber and biological risks, why every model can ultimately be jailbroken, what happens when a $20 coding agent causes $200M of damage, whether AI engineers should be certified, and why even after AGI there may be one job the labs can never do themselves: be their own watchdog.We discuss:* Why risk, liability, and trust may become the binding constraint on AI adoption* Rune's path from reading the Scaling Laws paper to joining Anthropic in its earliest days* What Anthropic understood about scaling, compute, and the future years before it became obvious* Why Waymo illustrates the gap between AI capability and real-world deployment* AIUC's $40M round and work with Cursor, Harvey, Lovable, ElevenLabs, and other frontier AI companies* AIUC-1: a standard for AI agent security, safety, and reliability* How agents are tested for jailbreaks, hallucinations, and data leakage* Why most AI companies optimize the happy path without seriously stress-testing adversarial cases* Why AI standards may need to update every quarter instead of every decade* The emerging trust gap between frontier AI labs and governments* Cybersecurity, child safety, biological weapons, and the expanding frontier-model risk surface* Why standards and insurance may need to evolve together* How Lloyd's of London can insure AI systems and bring trust to enterprise deployment* What happens if a $20 Cursor subscription contributes to a $200M plane crash* The Air Canada chatbot case and how AI failures are beginning to clarify legal liability* Why copyright may be one of the hardest AI risks to insure* Evals, mechanistic interpretability, monitoring, and models becoming aware they're being tested* The impossible CISO mandate: adopt AI fast, but don't let anything go wrong* Why robotics will make AI liability dramatically more consequential* Whether AI engineers should have Level 1, 2, and 3 certifications* AIUC's roadmap across agents, frontier models, robotics, and universal red teaming* Why AGI could become a question of national sovereignty* Why the labs can never fully serve as their own watchdogs* The Big Short problem: how do you stop competing watchdogs from racing standards to the bottom?Rune Kvist* LinkedIn: https://www.linkedin.com/in/runekvist/* X: https://x.com/RuneKvistAIUC* https://aiuc.comTimestamps00:00:00 AIUC's $40M Round and the Risk Bottleneck for AI00:01:07 From Scaling Laws to Early Anthropic00:07:58 Why Trust, Not Capability, Could Limit AI Adoption00:12:19 Founding AIUC and Building AIUC-100:18:52 How AI Agents Are Audited and Stress-Tested00:25:26 Frontier Models, Government, and the AI Trust Gap00:33:32 Cyber, Child Safety, and AI-Enabled Biological Risk00:38:14 Why Standards and Insurance Belong Together00:41:45 What Does an AI Insurance Policy Actually Cover?00:50:44 The $20 Cursor Subscription and the $200M Plane Crash00:53:53 AI Liability, Monitoring, and Earning Enterprise Trust00:56:21 From AI Agents to Models to Robotics00:58:29 Copyright, Adverse Selection, and AI Insurance01:03:28 Evals, Mechanistic Interpretability, and Eval Awareness01:08:36 The Impossible Enterprise AI Mandate01:11:52 Prediction Markets vs. AI Audits01:14:43 Should AI Engineers Be Certified?01:19:10 AIUC's Roadmap, AGI, and Who Watches the Watchdogs?TranscriptIntroduction: AIUC, the $40M Series A, and Risk as the Adoption BottleneckSwyx [00:00:00]: Okay, we're in the studio with Rune from AIUC, the Artificial Intelligence Underwriting Company, with our trusty co-host, Vibhu. Welcome.Rune Kvist [00:00:10]: Thank you. Thanks for having me. Thank you.Swyx [00:00:11]: What are you announcing today?Rune Kvist [00:00:12]: We have raised $40 million, led by Ribbit Capital and First Harmonic.Swyx [00:00:17]: You first came to my attention when Nat and Daniel invested in you guys. Is the story, like, pretty much the same? Like, what are you today versus what you thought you were back then?Rune Kvist [00:00:26]: When we raised our seed round, we had a hypothesis that at some point risk was going to hold down adoption. At that point in time, that felt kind of hypothetical, and I think that is now over. Clearly, the moment is now with Mythos and Fable. It's pretty obvious that literally the binding constraint on adoption is risk. And so for us, it feels like this is a natural continuation of the same hypothesis, but where previously it was speculation, now it feels like fact.Swyx [00:00:54]: And let's get a list of the customers that you're highlighting as part of your Series A.Rune Kvist [00:00:58]: Totally. Yeah. So we are now working with folks like Cursor, Harvey, Lovable, ElevenLabs.Swyx [00:01:05]: Yeah. Amazing. Congrats.Rune Kvist [00:01:06]: Thank you.Swyx [00:01:07]: So you were famously one of the first hires involved in GTM and product. I'm just kind of curious: what was your path into AI? Just recap.Rune's Path Into AI: Scaling Laws, Capital, and AnthropicRune Kvist [00:01:18]: Yeah.Rune Kvist [00:01:19]: Late 2021, I sold a company, my first company, an edtech company. I had a bit of time to think about what was next. I came across the Scaling Laws paper, and that just struck me like lightning. I was just like, “This is a big idea.” In short, the Scaling Laws paper just says the bigger the model, the smarter the model.Swyx [00:01:38]: So this is the Kaplan one, not the Chinchilla one?Rune Kvist [00:01:40]: Exactly, the Kaplan one.Swyx [00:01:42]: Yeah.Rune Kvist [00:01:42]: And the important thing that clicked for me there was, oh, now capital will understand this. If you put in more money, you get more money out, and so that will kick off a hype cycle. And so you get a sense of predictable returns, which is, in fact, what's played out. And so I just packed my bags. I'd never been to San Francisco. I'd never been there. I just packed my bags, flew out here to find the people who had written it. And at the time, they had just started a small lab called Anthropic. There were around 40 people at the time or so. Drank a bunch of coffee until I eventually got introduced to Dario. And at the time, they were wrestling with some of these questions of, like, should we deploy our models? Should we make revenue? How should we engage with the rest of the world? They'd just broken off from OpenAI, and it's been publicly reported that they were kind of concerned with how they were dealing with deployment. So they were wrestling with some of those questions. At this point, this is early fog of war, like early 2022. The hottest product at the time was, like, Jasper. Like, there's nothing out there. So where value was going to accrue, and what the different parts of the stack were going to be, were all open questions.Swyx [00:02:48]: I want to highlight to people, you ask these questions because you have a PPE background.Rune Kvist [00:02:52]: Yes.Swyx [00:02:52]: I actually was in Singapore in one of the sort of feeder programs for prepping people for PPE. So I had a tutor. We learned, you know, philosophy and politics and economics. But, like, I think your kind of background matters. Machine learning people who read the neural, Scaling Laws paper would not necessarily draw the same conclusions that you did. Whereas any capitalist would read that and go, “Holy s**t.”Rune Kvist [00:03:19]: Correct.Swyx [00:03:20]: Right?Rune Kvist [00:03:21]: Yes.Swyx [00:03:21]: Who tipped you onto that paper? Because it's not a paper that you normally read, right, like, in your circles?Rune Kvist [00:03:26]: Yeah. I think I'd actually, ever since AlphaGo, had some appreciation that AI was a big deal.Swyx [00:03:36]: Yeah.Rune Kvist [00:03:36]: But it kind of felt like it raised all these kind of interesting philosophical questions, but it was kind of not clear from afar where exactly that would go. But it was obvious enough that it was like, this is going to be a big thing if we find the kind of right mechanism to kind of get the techno-capital machine to work on this. But it was just not clear. And so I think there was some way in which, like, that became obvious, and also it wasn't as obvious at the time than it is now, right? Like, it was just like, wow, this is so interesting. But it still felt, coming from kind of a philosophy and economics background, it felt like if this turns out to be true, you're going to be wrestling with all of the big questions in society. Everything you've learned about politics gets thrown out of the window. Everything you've learned about economics at least gets challenged. And so what felt interesting was to be at that frontier that has ramifications across everything. So that's why I sought it out.Swyx [00:04:32]: I mean, clearly really good insight. For people who don't know, the PPE program is, like, where prime ministers are born. So then you end up meeting Dario.Rune Kvist [00:04:41]: Yep. First Dario, yeah.Swyx [00:04:43]: Yeah. Well, I mean, like, so did you get extra insights from talking with them that you didn't get from your original hypothesis?Anthropic's Early Conviction and the Scaling Laws Crystal BallRune Kvist [00:04:50]: If you read the Scaling Laws paper, you get this, like, very vague sketch of like, wow, this seems kind of important. There are some lines on a chart. This seems kind of important. And what I think the team at Anthropic had thought more about than anyone was like, what are the implications of this if you really play this out? And back then they had, kind of vision documents for what the world would look like in 2026, and they were kind of in vivid detail playing out how much compute is going to be needed, what the CapEx was going to look like, what some of the societal concerns were going to be, but also what is the amount of economic value coming out here? And so it kind of felt like they held a crystal ball that in hindsight turned out to just be dramatically correct. And they weren't holding it like they were obviously correct. They were just like, “Take this hypothesis really seriously.”Swyx [00:05:38]: Think it through, yeah.Rune Kvist [00:05:38]: And think it through in the same way as the kind of situational awareness that isSwyx [00:05:43]: Across the street.Rune Kvist [00:05:44]: Across the street.Swyx [00:05:44]: Your office, yeah. Oh my God, we're all living across the street in the same one square mile.Rune Kvist [00:05:50]: Correct. And that's now a couple of years old, but also people keep referencing it these particular weeks with Fable and Mythos, and it's like, wow, if you take this one idea seriously- For the Scaling Laws, a lot of things fall into place.Vibhu [00:06:03]: And keep in mind, at this point, this is the same team that did GPT-1, GPT-2, and GPT-3.Rune Kvist [00:06:08]: Correct.Vibhu [00:06:08]: Which is also, like, it's not just some experimentation. Like, this is a real model that we just scaled up.Rune Kvist [00:06:14]: And they had deep conviction in this idea: if you take a big blob of compute and data, it just wants to learn, and out of that will come smarter and smarter models. And all the particulars were not clear.Vibhu [00:06:26]: Yeah.Rune Kvist [00:06:27]: And all the implications were not clear. But their deep conviction in this, like, core thesis, and that was kind of dizzying. It was both phenomenally interesting and exciting, and also very quickly you get to, like, the world we know today will no longer be if this hypothesis holds. So it also just felt, like, important in some kind of grand sense.Vibhu [00:06:48]: What kind of shaped you there? So that was early 2022. Not only had GPT-1, GPT-2, and GPT-3 come out, but, you know, the amazing founders of Anthropic that have never split up, the only ones, they actually had the conviction to leave OpenAI, start their lab. You said there were about 40 people there. What was the time like there?Inside Early Anthropic: Mission, Deployment, and RiskRune Kvist [00:07:06]: It was kind of remarkably like what it looks like on the outside today. Extremely cohesive, extremely mission-oriented, and living in this tension between their two ideas, which is AI could both go really well and really bad, and we want to be part of building it. That creates astounding amounts of tension. And they were wrestling with this incentive challenge where they know they're in a race that they're in where you might get forced to cut corners, but it also felt very important to them to be at the forefront of technology. And all of those ideas were just present at that time. It kind of feels like that line has been just very clear, and I think kind of love them or hate them, they have really stuck to their guns. There's a core set of beliefs that they hold more deeply than most companies hold any beliefs.Vibhu [00:07:58]: Yeah. Fast-forward to today.Rune Kvist [00:08:00]: Yeah.Vibhu [00:08:00]: What does that lead us to AI underwriting company? What are you up to? What motivated you to start this?From Waymo to AIUC: Confidence Infrastructure for AIRune Kvist [00:08:05]: Yeah. AIUC builds confidence infrastructure for frontier AI through standards and insurance. The link from Anthropic to building confidence infrastructure, looking out the windows at Anthropic offices and seeing Waymos driving by. Already back then, early 2022, Waymos were in some ways like AGI for cars. Like, they were superhuman drivers, but you couldn't take one to the airport. And now, four and a bit years later, you still can't take your Waymo to the airport, despite now everyone having kind of looked at the evidence and being like, “They're better drivers than humans.” So in that particular instance, what's clear is that the binding constraint on AI being useful is not capability, but is that liability or risk or trust. That problem is, general. The reason why right nowRune Kvist [00:08:52]: Fable is not open for access is not because it's not a good model, it's because it's a very good model. It's just hard to make promises about what it will or will not do. And this problem gets worse as AI gets better. Basically, more intelligent AI can be more autonomous. That's more valuable, but also the risk surface grows. And so - what Waymo illustrates is that unless you build the confidence infrastructure to make promises about AI, or at least bring light to the risks, you grind adoption to a halt. Governments, banks, hospitals, militaries need to have some sense of what AI will and will not do to be able to operate for them to incorporate it. And that's the problem that we're trying to solve. Now, why standards and insurance? If you trace this problem back through history, every technology wave has had some version of this problem. So if you go back to, like, year 1900, electricity comesVibhu [00:09:47]: Ben Franklin.Rune Kvist [00:09:48]: Cars burn down, sorry, houses burn down, lots of people die. 1930s, cars are a big deal, kill lots of people. 1950s, private nuclear energy is a big deal, poses big risks. In each of those instances, the market runs ahead of regulation to create confidence infrastructure because that's required to make go/go decisions. That is required for adoption, and the market fundamentally wants adoption. And in all of those instances, common blueprint emerges between standards and insurance. The reason these two components is standards kind of provide the rules of the road, and they also specify, like, what are the tests that need to be run so we can get a sense of how high the risk is. So take in the case of cars, that's like a car crash. Great, everyone, they inform your insurance pricing today, they inform your purchasing decisions, et cetera. That's basically the risk framework. The insurers are important because they pick up the bill. So they are the private institution that is most on the side of. That is best incentivized to quantify the risks truthfully and then figure out all the ways to reduce the risk ‘cause that increases their profit. So they're basically, they help shape the incentives. And these two work really well in unison. Now, how does that show up as a company? Well, one of the things that was obvious even - or starting to become obvious even a couple years ago was that frontier companies, some of our customers today, like Cursor, Sierra, ElevenLabs, Harvey, were going to have a very easy time selling a pilot to a bank. The, like, the demo just sells itself. It's magic. But bringing that through, if you want to do a wall-to-wall rollout at a bank or a hospital, you have to go through the risk process. These banks have no idea even which questions to ask, let alone which answers are sufficient, let alone, like, how do they go and test whether these agents actually work the way they're supposed to. And so they had this problem of, like, what can we say to earn the trust? And we think there's, like, a golden sentence that goes something like, “Hey, I hear you're really worried about hallucinations or jailbreaks or whatever it may be. We've had an independent third party test us against the gold standard. We passed with flying colors. And as a vote of confidence, the world's most conservative insurers have looked at the data.” And they're willing to take some of the risk onto their balance sheet.Swyx [00:12:06]: Yeah.Rune Kvist [00:12:07]: So if something does go wrongSwyx [00:12:07]: There's money behind it, yeah.Rune Kvist [00:12:09]: Exactly. So that's kind of like the link between all this. We can get into some of the hard parts related to the technical testing, which is, I think, the crux of the matter, but I'll pause there.Swyx [00:12:19]: How did you and Rajiv come together? This-- there's always, like, you come across very confident and, you know, and we're announcing your Series A and all these things, but I want to see, like, the early initial stages of, like, idea formation.Cofounding AIUC with Rajiv DattaniRune Kvist [00:12:31]: Yeah. Rajiv is actually my soon-to-be brother-in-law.Swyx [00:12:35]: Oh.Rune Kvist [00:12:36]: So I'm actually, in a week and a half getting married to Rajiv's sister.Swyx [00:12:42]: Okay, now you're tight.Rune Kvist [00:12:44]: Exactly.Swyx [00:12:44]: Now you know.Rune Kvist [00:12:45]: So - Rajiv and I have known each other for a decade. Funny story, I met both Rajiv and his sister, Hena, at the same time when Hena and I were interns at McKinsey in London, and Rajiv was assigned as my mentor. And so met them at the same time. For the longest time, it was not obvious that we were necessarily going to work together. I was in startups. He was, an insurance partner at McKinsey. Three or four years ago, I think Hena convinced him that AI was going to be a really big thing. And so he quit his job, cushy partner job at McKinsey in London, packed his bags, flew to San Francisco, and ended up joining METR. You guys are probably online enoughSwyx [00:13:24]: CEO.Rune Kvist [00:13:24]: Exactly.Swyx [00:13:24]: We've, we've, we've heard of METR.Rune Kvist [00:13:25]: You see the plot-- the chart of the horizons of the tasks that agents can take on is doubling extremely fast. So he was COO at METR, led their partnerships with Anthropic and OpenAI to test their models before release, but also working closely with the US and UK government, to figure out, like, how do you know whether a model can be released? And in some ways, that was, like, the perfect background. He's spent a lot of time in insurance, knows that world, spent a lot of time with frontier testing of models. And so when I was bumbling around this idea space, starting with some of the ideas we talked about related to Waymo, as soon as we got into the content, we were both like, “Oh, this would be an amazing business to build together.” This is wrestling with the problem that we both think is the most important in the world from a market angle, which is kind of our intuitions is that the market can do a lot, and the faster AI moves, the harder it is for government to solve some of these problems. And then it took a little bit of time to work through what is it like to work with family.Swyx [00:14:27]: Sure.Rune Kvist [00:14:27]: And,Swyx [00:14:30]: Because you were already dating at the timeRune Kvist [00:14:31]: Yeah. Yeah, exactly.Swyx [00:14:33]: Yeah.Rune Kvist [00:14:34]: Already back then, itSwyx [00:14:35]: Yeah.Rune Kvist [00:14:35]: We felt like we were a family.Swyx [00:14:36]: Nice.Rune Kvist [00:14:36]: And so starting a business together felt like kind of a big step. And, here we are with just immense amounts of trust.Vibhu [00:14:43]: Yeah. So now you're a company of how big? How big are you guys now?AIUC-1 Certification: Agent Security, Safety, and ReliabilityRune Kvist [00:14:46]: There are just 20 of us now.Vibhu [00:14:47]: 20 of you guys now, have Series A, and you have your first certification out, the AIUC-1. Let's bring up the certification. So this is the agent certification, right? What goes into the process? I have, like, two questions here. One is, walk us through the certification, and two is, what is the process for a company to get certified, you know?Rune Kvist [00:15:08]: Great. As it says right on the top, AIUC-1 is a standard for agent security, safety, and reliability. The fundamental design principle is take all of the concerns that slow down adoption, so all the questions, all the fears that keep, security leaders in the Fortune 1000 up at night, and put them into one comprehensive framework. That's what you'll see there. You can see the six categories. Two, you want to ground all of this in technical testing. So one of the concerns with security standards that often feel kind of like theater paperwork is that they're not actually ground out in, does any of this work? Does any of this matter? And so we had a conviction from early on that was going to be the kind of crux, was to pass this, you must get tested every quarter, basically run thousands of simulations to see, well, so can it actually be jailbroken? How hard is it to jailbreak? How often does it hallucinate? How often does it leak data? Et cetera. And then the last, core idea here, if you scroll up to the top here, is to refresh it quarterly.Rune Kvist [00:16:08]: So the core trait of AI is that it moves extremely fast. Whatever concerns we're discussing today were not the same ones three months ago, and this will keep changing. Typically, standards update on a, like, a decade cycle is obviously not going to work. But the question is kind of how do you update it? And the core thing here was to basically get the risk leaders of the Fortune 1000 around the table. So if you go over to the left hereVibhu [00:16:32]: YeahRune Kvist [00:16:32]: You'll see the AIUC-1 consortium. The consortium is a group of risk leaders who run real banks, real hospitals, real critical infrastructure, who are facing these challenges every day. And we meet with these folks twice a quarter and hear what's top of mind, what is keeping them up at night. There's tremendous amount of desire for that conversation. And then we operationalize that into a specific standard that gets into. And actually, we can go into and look at whatVibhu [00:16:55]: YeahRune Kvist [00:16:55]: What even is the standard. So if we go back to introduction, out there to the left, scroll up a little bit to the wheel, click into reliability. So if you take something like hallucinations sits in reliability. There is a number of requirements here. If you go into the top one, prevent hallucinated outputs, hallucinate outputs, this is one particular requirement. This is a technical control. Basically, we want some kind of ground in this filter. The first thing you see here is what's called a crosswalk. So everyone and their grandmother has put out a framework, very high-level framework for what are the AI risks.Swyx [00:17:27]: This is basically your competition,Rune Kvist [00:17:28]: In some ways our competitionSwyx [00:17:29]: Not seriously, yeah.Rune Kvist [00:17:30]: We're, in fact, friends with them. We'll come back to why.Swyx [00:17:31]: Yeah.Rune Kvist [00:17:32]: But mapping everything together so you have one superset. The claim you're trying to support here is, if you follow this framework, then you can also see how you follow the other frameworks. But the meat of it comes down here in control activities and evidence. So control activities is like, great, you have this high-level requirement. How do you turn that down to something operational? Here's what you must do, and then what is the evidence that we're looking for?Rune Kvist [00:17:57]: And the reason we go this deep is that there's actually not that much confusion about what are the big concerns in AI. Everyone agrees to these. The question, like, what are you actually supposed to do? And so. What we found a lot of demand for is getting down to the specific evidence, that people need to look for. Whether you are Cursor building something or, even JPMorgan building something, but also if you're just a risk leader at JPMorgan, like what exactly should you ask for? What can you ask for without sounding stupid? Like if you ask for some-- you won't believe the amount of time a risk leader has asked for the IP rights to the underlying model to Cursor or something, and you're just like “Sorry, what?” Like,Swyx [00:18:39]: You slip it in there and you seeRune Kvist [00:18:40]: SlipSwyx [00:18:40]: See if you notice.Rune Kvist [00:18:41]: See if they. Exactly.Swyx [00:18:42]: Yeah.Rune Kvist [00:18:42]: Put that in the questionnaire. All right, so that's kind of what our standard is, and we update this every quarter with these folks, to keep up with the latest concerns.Swyx [00:18:51]: Can I double-click on this one?Controls, Evidence, and Third-Party TestingRune Kvist [00:18:52]: Yeah.Swyx [00:18:52]: So first of all, the website's beautiful. Like, it's so confidence-inducing which is the whole point where, like, okay, I know exactly what I'm signing up for when I talk with you. Like, I don't even have to talk to you. I can just see your whole, certification, which is great. But, like, okay, so from here, like D001.1 configure a groundedness filter, how does that get applied? Like, you have a person thatRune Kvist [00:19:16]: Yeah,Swyx [00:19:16]: Goes through it?Rune Kvist [00:19:17]: If you, go backVibhu [00:19:19]: I did see somewhere there's like, you know, fifty-one requirements, a hundred thirty controls. There's like a wholeSwyx [00:19:25]: Right. I just want to. Like, to me, this doesn't translateVibhu [00:19:27]: Yeah.Swyx [00:19:27]: Into a test or an eval.Rune Kvist [00:19:28]: Yes. So if you go into, on the left-hand side. So actually, if - before we go in there are three types of requirements. The first is technical controls, like you must implement some guardrails.Rune Kvist [00:19:42]: Two, there are test controls. So you must have an independent third party go and run some tests against you. I'll show you one of those in a second. And then three, there are policy controls. For example, you must have a person whose name is on the line when you guys f**k up, and you must have a plan for how you tell your customers and how you engage with them. They're kind of more traditional, standard type stuff. So in this particular instance, we just check whether they in fact have a ground in filter. So we will partner with an auditor. So we partner with auditors like KPMG or like Schellman who go in and do the thing auditors do, which is to check the evidence. In this case, that might be a screenshot, it might be part of the code that they need to review to see that it actually. Just that it exists.Swyx [00:20:21]: Oh, okay.Rune Kvist [00:20:22]: And then the second thingSwyx [00:20:22]: So you're not testing the effectiveness of it.Rune Kvist [00:20:24]: That's the second thing. So if you go downSwyx [00:20:25]: Yeah.Rune Kvist [00:20:25]: To the third-party testing for hallucinations out on the left, that's basically the next requirement. This is where we test how well does it actually work.Swyx [00:20:32]: Okay, and is it you testing or the auditor?Rune Kvist [00:20:34]: We test them.Rune Kvist [00:20:35]: We test them.Swyx [00:20:36]: That's a lot of work.Vibhu [00:20:37]: How long does testing take? So if I want to get certified, justCertification Timelines, Remediation, and Quarterly UpdatesRune Kvist [00:20:40]: Yeah.Vibhu [00:20:40]: How long does the end roughly take?Rune Kvist [00:20:42]: Yeah, the end, almost always is dependent on, like, our customers needVibhu [00:20:47]: Yeah.Rune Kvist [00:20:47]: To look something for us. It takes somewhere between, like, 3 to 10 weeksSwyx [00:20:52]: Yeah.Rune Kvist [00:20:52]: Depending on how up to snuff they already are. So some people show up to us with, like, extremely rigorous security programs. When we test them, it works extremely well. We can get that done very quick. Some people come to us, and they're not that far along. We give them kind of the spec that they need to build towards, and then their security teams and engineers get to work and build to meet the standard. The testing itself typically takes a couple of weeks, including the time for them to remediate. Often, we'll find something that we cannot pass, where this is actually just not up to the standard. - you won't pass the standard. And then they will need to go and implement additional safeguards or additional remediation that makes them more robust so that they can actually kind of hand on heart look at their customers in the eyes and say, like, “Hey, we've done truly our very best.”Vibhu [00:21:35]: And they're certified for a year and have quarterly updates?Rune Kvist [00:21:38]: Correct, yeah.Vibhu [00:21:39]: And, yeah, it's pretty interesting. I think, you know, what's changed since. So this is certifying agents in production, right? Your customers, like you've had Lovable, ElevenLabs, Intercom, and they've all gone through this certification.Rune Kvist [00:21:50]: Yes.Vibhu [00:21:51]: What has changed? So I see you post, like, you know, Q2 added MCP agent,How Agent Risks Are Changing: Coding, MCP, and Agent-to-Agent InteractionsRune Kvist [00:21:56]: Yeah.Vibhu [00:21:56]: agent communication. Any other things that you want to kind of highlight since the first iteration? What comes in quarterly?Rune Kvist [00:22:03]: Yeah. So some of the changes have just been agents are not just one thing. So, like, if you take agents like Cursor and compare them to Sierra, they're really quite different. And compare them to Harvey again, compare them to you out of againSwyx [00:22:16]: ElevenLabs, yeah.Rune Kvist [00:22:17]: ElevenLabs, they're all quite different. And so we wanted to design a standard that works for all of the types of agents. And we started with one that was, like, pretty text-based, like, honestly, pretty customer support-focused. That's where there's a lot of existing demand. And then over time, we've picked, some of the frontier companies in each of these other domains that we could work with and build out the standard, so, such that we know that the same standard works for code, it works for customer support, works for automation, et cetera. So that's been one big thing. Yeah, then some of the things that have been top of mind recently, Mythos is bringing up a lot of concerns for security leaders. We're starting to get more and more questions around agent interactions. It's very nascent, at the moment, but it's starting to emerge. There've been a lot of, questions related to OpenClaw and MCP. Again, like agents starting to interact with each other, is really top of mind. Then as coding agents have really taken off, that's also where banks and hospitals, et cetera, are getting more and more precise on what it is they need. So really dialing in as that start to be, like, where most of the tokens flow through in the world, getting much sharper on that.Vibhu [00:23:26]: Can you share for people that are listening that don't really think about this? Like you mentioned, there's the obvious stuff, you know, hallucination, citations. What are best practices that people should do when building agents? Like, if they come to you pretty ready with certification like, you know, they'll probably pass certification. What are the things people don't think about that they should have?Best Practices for Agent Builders: Stress Tests and GuardrailsRune Kvist [00:23:46]: The most important thing is that a lot of companies have not done a serious stress test. They spend most of the time, perhaps rightly so, optimizing for how does it work in the good case, the average case, how high-quality is the output for the customer. And a lot of these companies are pretty new, so they haven't spent a lot of time stress testing the what is there as an adversary on the other side? What are some of the complicated corner cases that you've not really considered? So I think that's, like, a frame of mind. And you'll also see this in startups. It often takes a while until they hire their first security person. They- And that's a whole different kind of risk surface than just building a good product. So a lot of that applies. Most companies actually also have the right kind of architecture. Most of them will have some kind of guardrails in place, either some that come out of the box from their model provider or they'll have built their own filters that sit in between. They just don't work very well. The difference between putting a classifier in place that, like, maybe goes and checks whether you're giving medical advice when you shouldn't and says, “Hey, if this looks like medical advice, filter it out.” Lots of companies have that in place. The question is whether it works. And it's actually pretty fiddly to sit down and think about all the ways in which you could ask for medical advice, read the academic literature on what are the kinds ofRune Kvist [00:25:03]: Framings or tricks you might play to get an AI to give you medical advice when you really shouldn't. And so there's, like, an area of expertise that's just missing. So what we find is that most people have the right building blocks in place. They don'- It doesn'- It's not rocket science, but the finicky thing is, like, getting into the corners and testing whether it works such that you can look your customers in the eye, or maybe a bank or maybe a hospital and be like, “This is going to work for you.”Vibhu [00:25:26]: I see. So we talked a lot about the agent-level certification. Where do you guys go from here? So announcing series A camera, we talked about this a bit. There's the whole security risk of Fable, government stepping in. You guys are kind of announcing that you're also going into model certification?Toward Model Certification: The Government–Lab Trust GapRune Kvist [00:25:46]: When we do a bit of cutting afterwards,Vibhu [00:25:48]: YeahRune Kvist [00:25:48]: We will not yet be announcing this,Vibhu [00:25:49]: NiceRune Kvist [00:25:50]: The question that is top of everyone's minds now is at the model level. And Mythos, then Fable, has really brought this to the fore that in addition to the commercial risk and the kind of economic security risks that are happening at the agent layer, the models are going to present risk in the national security category. The shape of the problem is very similar. You have some people that are on the hook if something goes wrong. In the case of agents, it's often security leaders in the enterprise. In this case, it's the government. They don'- haven't necessarily spent their entire lives thinking about what are the new risks that come here, what is the kind of data you might be looking for, how might you test that? But they do have to make sure that their concerns are addressed. You have some frontier AI companies that are deeply technical. They know a lot about the risks, but they fundamentally have an incentive to not always be truthful. So you have a trust gap between the government and the labs. And in every other industry, you end up with some kind of body sitting between, a neutral third party sitting between those people. There's no other industry where you allow people to audit themselves. So there is going to be a need for a third party that can take the rigor of the labs to run frontier technical evals, but can also speak legible trust in the way that the government trusts PwC to go and run financial audits. And they know that they output audit reports in a way that's consistent, that's easy to read, that's factual, that's, trustworthy. Those two things need to be brought together. And what we've learned from our work with agents is that if you want those-- that communication between those two parties to be smooth, there has to be one common standard that is public, that people can go and inspect. What are the risks that matter? Within each of these risks, what are the kinds of threat models that you're really looking for? You need to specify for each of those risks, what are the guardrails that need to be in place, and what are the tests they need to run to see whether those guardrails are effective? And then you need to go and run audits that are - technical audits that are consistent. So if you're trying to bring trust, it's extremely important that you methodically work your way through the risks. You can't send one researcher in and say, like, “Come back with whatever you find.” You need to be able to explain exactly what you did, exactly what you tried, exactly what you did not try, and therefore the kinds of promises you can and cannot make at the end of it. I think ofNeutral Third Parties, CAISI, and Model Risk AuditsRune Kvist [00:28:13]: Fable as a direct symptom of this problem that the government was told that there's a risk. The government may struggle to assess just how big that risk is. They call Anthropic, and Anthropic is trying to tell them, “Hey, actually, every model can be jailbroken.”Swyx [00:28:28]: That's not what you want to hear, right?Rune Kvist [00:28:32]: As the government, that might be hard to trust.Rune Kvist [00:28:36]: And we think that a broker is the most natural solution. In other markets, you see something like, in financial markets, you see Moody's. Moody's goes in, and they look at a bond, and they output a rating. They say like, “Here's the evidence we found. Here's the rating.” We don't decide whether anyone should buy this bond or not buy this bond. Well, that depends on their risk appetite. But we do provide this common information layer that everyone can rely on. In the case of Moody's, the government, points to them and say, “Hey, pension funds, you should probably really take care. You shouldn't risk your pensioners' money, so you can only invest in triple-A rated bonds.” That means that now the government doesn't have to staff thousands of financial technical experts to rerun forecasts every week to see whether things are correctly rated. They get to point to some neutral third party. So my hypothesis is, my hunch is that you will see a third party that sits between the government and the labs, and it could either be the government builds it themselves. So something like CAISI was set up to do exactly this. And the questionSwyx [00:29:44]: Sorry, I'm not familiar with CAISI.Rune Kvist [00:29:45]: CAISI is the Center for AI Standards and Innovation.Swyx [00:29:49]: Okay.Rune Kvist [00:29:50]: I won't get into the details, but it's a body of NIST that typically sets standards. So it's basically a government body that has AI experts. Yeah, exactly. Exactly.Swyx [00:29:59]: Very key. Very key.Rune Kvist [00:30:00]: Very key.Vibhu [00:30:00]: I think, you know, it's one of those things where when you just sit back and listen-- look at it, like, is there enough technical expertise in the government to measure, test these things right now? Probably not, right? And Fable is a result of, okay, we've had to scale back and pause things,Rune Kvist [00:30:17]: Yeah. And they have excellent people, but they have an extraordinarily small budget compared to the scale of the challenge that's ahead of us. And I think they have a role to play. The question is kind of like, who does what? We have now outlined the jobs to be done, and they're quite extensive. Every model release, there is an astounding-- Given that they take in any input, their risk surface is astounding. And so the question is really: what can only the government do, and what can the market provide here that can keep up with the pace as AI risk changes? Our perspective is that also at the model layer, the risks that people care about today are not the same ones they cared about three months ago. So the pace of legislation is too slow to deal with pinpointing the risks here. And so we think there's a lot that the market can do to surface timely information. Ultimately, there is a bunch of policy decisions here. Is the national security risks of a model too high?Swyx [00:31:12]: Yeah.Rune Kvist [00:31:12]: That's a political answer. But what we want to make sure is that the process that produces this risk information is compatible with very fast innovation. So you don't want to. This is not a question of like, can you slow the things down? Can you keep, the models locked up until-- for months on end until everyone can make a guarantee? But it is this, can you, in the time it. Given that the US is competing with China on releasing models, can you insert risk information that allows the government to, like, make rapid decisions on some of these questions? Balancing that trade-off between failing to adopt AI is going to put us at risk, but also reckless adoption is going to put us at risk. And that's a very kind of fine balance that they're going to need, like, a lot of high-quality intelligence to make.Chinese Models, Data Flows, and National Security ConcernsSwyx [00:31:55]: Just a side mention, because you mentioned Chinese models, any specific concerns that you're hearing from your CISOs about that? ‘cause I guess it's free, but.Rune Kvist [00:32:05]: CISOs have a bunch of concerns around data flows in general that they're really concerned about. So there's a lot of questions like, if these models are Chinese, where does that, where does that data go? I think a lot of this can be addressed, but they come up often.Swyx [00:32:18]: I mean, they understand they're running on American GPUs.Rune Kvist [00:32:21]: Some of them, some of them understand that they're running on American GPUs.Swyx [00:32:23]: They're not, like, phoning home every time you, like, call home.Rune Kvist [00:32:26]: No. A year ago, there was not a lot of understanding of this. I actually think, you're seeing the security leaders becoming kind of AI literate at a blistering pace, and you're actually also seeing my Twitter timeline that's very pilled and my LinkedIn feed that used to not at all be pilled kind of converge. They're both talking about Fable.Swyx [00:32:45]: Right. Yeah, that's true.Rune Kvist [00:32:46]: They are both talking about whether you can prevent models from being jailbroken these days.Swyx [00:32:51]: Yeah.Rune Kvist [00:32:52]: Like national security national security risks are now the conversation that is actually emerging. Other than that, I think you mostly see a kind of general picture: there are no concerns with any particular model or any particular model output, but there is a general nervousness of having critical infrastructure run on models that are not produced in America by Americans where the American government has control.Swyx [00:33:14]: But it doesn't necessarily show up in your framework that directly, or it might, I don't know.Rune Kvist [00:33:18]: There's a bit of stuff in there actually on the, like, the provenance of the models and disclosing that. But I think there's a bunch of use cases where running a Chinese open-source model is just the best solution.Swyx [00:33:27]: Yeah.Rune Kvist [00:33:27]: And a concern is slightly more macro here, which is not best addressed at any particular certification level.Vibhu [00:33:32]: Is there anything interesting that you see at the. You know, if you're trying to fill that middle gap, that mediation gap, any interesting stuff that you guys forecast would be required other than, you know, what the average person might expect?Cyber, Child Safety, Bio Risk, and Expert CoordinationRune Kvist [00:33:47]: There's a bunch of interesting questions about what are the risks that matter here. So right now, the risk of the day is cyber, because it's very real, very tangible. And some of the risks that are also emerging as pretty real and pretty tangible are things like child safety is becoming both extremely important, but also politically important. And then there are some of the risks that are coming down the pipeline that today feel kind of speculative, but people who spend a lot of time with the models see them coming down is things like, risks that relate to biology.Rune Kvist [00:34:18]: And specifically whether models will help adversaries produce biological weapons and making that extremely cheap, extremely accessible, producing-- making the chance of another COVID or worse pandemic. COVID was not engineered to be bad, as if you were trying to do that. So I think those are some of the risks that are coming down the pipeline. I think one other thing to just note is that agents are kind of deliberately narrow. So, like, when a frontier agent company puts a chatbot that interacts with customers, they've really tried to narrow the topics it's interested in talking about. Such that if you ask it, like, “What do you think of the president?” it will just decline, which means that the kind of risk area is somewhat smaller. For models, it is infinite. And so there's not a single expert out there who can competently evaluate the risks of cyberattacks and fifteen-year-olds having month-long conversations with a chatbot and seeing whether it will in fact recommend suicide or something horrendous like that, and can evaluate the risks that terrorists can use AI to produce bioweapons. The risk surface is just too big. And so the central challenge actually becomes how do you get those subject matter experts to work within a one coherent framework that outputs one coherent report and rating that the world can go and inspect? ‘Cause that global perspective is central, but there's not a single organization today that could produce that.Swyx [00:35:47]: And you would be the presumptive one when you put out your model standards.Rune Kvist [00:35:51]: We think there can be one company that can, with a consortium of experts, build one coherent standard. I think we've shown that across all of the enterprise risks today. We think it could be one company that could, with a consortium, specify the audit rules, basically like the inputs and outputs that all these technical experts need. What access do they need? How should they treat infosec- info security? They can look at whether the eval- evals are well-produced without necessarily being able to say, “Hey, is this a threat or not a threat?” But overall, evaluating whether the evals are good, well-constructed, that set of audit rules that basically becomes the interface for all these experts, we think one clearinghouse could put together. To be clear. When I say one company, I think of it as one company coordinating lots of this in the same way that when we saw our consortium, it's not like we say we have all the answers on agent security. What we say is we are taking on the role of eliciting all of the concerns and being the secretary that puts it together and runs a tight house such that the standard updates lockstep every quarter, and that the audit reports that come out, in this case, 100-page audit reports, uniform and crisp and clear all to the level of detail that is required for executives that need to make a clear go/go decision. So that's kind of the role that we think we might play.OWASP, Frameworks, and the Operational Audit LayerSwyx [00:37:11]: I think in many ways you're performing the role that OWASP used to do there, and you said, like, you know, competition and partners.Rune Kvist [00:37:18]: Yeah.Swyx [00:37:19]: Can you go more into, like, how they partner?Rune Kvist [00:37:20]: Yeah. So first of all, OWASP is basically an open source community of security practitioners that are coming together to build frameworks for addressing the latest security concerns. We think they are phenomenal at creating frameworks. We'- In fact, we'- First of all, we're partners with them, so we have a joint article. Two, we've learned a lot from them. We think they're a tremendous source of intelligence. What OWASP does not do is building the machine that runs third-party audits such that a company like Cursor or a company like JPMorgan could get a third party to go and review them against this and say, “Hey, you've passed the standard, and here is the report that you can use to build trust and preempt your partners' or customers' questions.” So they fundamentally try to do something different. You - They are part of the information gathering and intelligence gathering and creating clarity, but the operational layer of turning this into promises is not the business they try to be in.Swyx [00:38:14]: The standard is emerging and is doing very well. Was it necessary to then also do underwriting? Obviously it's in the name, so please remember you thought about it first. I feel like if you just have enough consensus, you don't actually need the money angle, but it does help.Vibhu [00:38:30]: I did want to also note, you guys are a profit company too, right? It's not profit where there's a whole business side to it as well?Why For-Profit Standards and Insurers MatterRune Kvist [00:38:39]: Yeah. Yeah, so I'm just getting crazySwyx [00:38:41]: I think about the money part.Rune Kvist [00:38:42]: Yeah. Yeah, let's get into the money part. Let's start from actually your question, profit versus profit. In the security space today, cybersecurity, most of the standards are produced by nonprofits. I think that's an issue.Rune Kvist [00:39:00]: The question you have to ask yourself is, how do you create good incentives for these standards to be good and keep up?Rune Kvist [00:39:09]: Nonprofits tend to not have these adverse profit incentives where they, hollow out their standard and create a race to the bottom, but they're also not at all responsive by default to the communities that they serve. There's no process-- They don't have customers that they serve where they go and ask, “What do you want? What do you want? What do you want?” And when you look at the overall satisfaction with the security standards today, people tend to just not like them very much. You do see in other domains, that profit standards can serve the world quite well. So there are examples, like we talked about Moody's before. It's not without flaws, but, it is absolutely critical societal infrastructure that gets run at an astounding scale today. Your credit score, it's FICO. It's also a profit business. And when you go back even further in history, some of the crash testing standards came out of insurance companies.Rune Kvist [00:40:06]: The insurance companies together founded the Insurance Institute for Highway Safety because they were very interested in, like, how can we use standards to drive down mortality and save money? Go back, prior-- Our name actually pays homage to the Underwriters Laboratories, UL, which, was started right around when electricity came out. Houses started burning down. Insurers, again, were paying the bill, and they were maybe also good people, but their profit incentive was, let's prevent houses from burning down. Let's test all the electrical products, the light bulbs. All the light bulbs in here are probably tested, the toasters, et cetera. And they set up, an entity to create those standards. Today, UL has a profit entity and a profit entity. What they've recognized, they spun - They started profit. They spun out a profit because what they recognized was like, hey, actually to serve customers well, you need a profit entity. The lesson here is one of the ways that the market can align incentives so you're both responsive to customersRune Kvist [00:41:07]: And not hollowing out your standard over time is to align it with insurers because they fundamentally have good incentives. And so if you're a profit standard that works closely with insurers, you get the feedback loop in such that you're really tuned into your customers, but also have their interest at heart. So that's the model that we - the kind of inspirational model that we've learned a lot from, and that's also where the name comes from. In some ways, the term underwriting can both be associated with insurance, but it's also a broad term for, like, making decisions.Rune Kvist [00:41:40]: If you underwrite a decision, you're fundamentally kind of taking ownership for the consequences of it.AI Insurance Contracts, Lloyd's of London, and ElevenLabsSwyx [00:41:45]: Yeah, I mean, what does an insurance contract look like for AI?Rune Kvist [00:41:49]: Yeah. Most of the demand comes today for insurance contracts is, sitting between people who've built AI and people who are buying AI.Swyx [00:41:56]: Yes.Rune Kvist [00:41:57]: And what you want—the reason why people want insurers involved, both for the traditional reasons, hey, if something goes wrong, we want to be compensated, but it's in particular because insurers can bring trust to the equation. Because insurers will pay for the damages, if they're willing to write an insurance policy, that is them saying, “Hey, we think there is risk here, but that is manageable.” And that is kind of a. Their incentive aligns with the enterprises adopting it, so that's a really a good signal to the market. In the same way, actually, one of the things that Waymo tried to get their first permit to even operate in San Francisco was to get a lot of insurers to stack up a huge insurance policy. In the case if something went wrong, not because Google can't pay, but because it was very valuable to have a third party go and look at that dataRune Kvist [00:42:47]: That are trusted by governments, trusted by enterprises as conservative people and say, “Hey, we've looked at it. We're actually willing to take some of this on our balance sheet.” So that's, that's kind of the reason why people are interested in it. What it looks like is, in some ways like every other insurance contract. You specify what are the perils you want to cover, how much do you want to cover them, like up to what limits, and what does it cost to cover that. And in the case of, if we take a really concrete example, ElevenLabs, bought a first of its kind AI agent insurance policy. They work with some of the biggest, enterprises that work with governments. They're really interested in going above and beyond and making promises to their customers. So they wrote a policy that covers just some of the core concerns that their customers have been asking about. And, the crucial thing was really to get Lloyd's of London, the world's oldest insurer, one of our partners, to look at this data and be that third party alongside us to say, “Hey, we think there's something here that's worth underwriting.” and that's actually what it looks like. And so they will show that contract to their customers, and they can see how much they're covered for. They can see what exactly it covers, and that will also probably change next year. They will want to write an insurance policy that might cover more.Swyx [00:44:04]: When you say Lloyd's, is it reinsurance, or are they sharing somehow at the same level orRune Kvist [00:44:11]: Yeah. So typically, the way, new companies get into insurance is that they partner with insurers such that the insurers take the majority or all of the financial risks. Fundamentally, if insurance is useful, because it brings trust, you have to be able to pay the bill. Lloyd's of London is 400 years old. They've never not paid a claim. They're extremely trusted. What Lloyd's of London struggle to do on their own is to figure out which of the risks are real, what should we be looking for, what are the kinds of technical controls, and running the tests. So they use AIUC-1 as kind of the underwriting framework, and we produce a bunch of eval results that then directly feed in to inform the pricing. So this means that ElevenLabs customers know that payment will be there. They don't have to look to our series A and see, like, do we think they have enough cash on the balance sheet? They will look at Lloyd's.Swyx [00:45:05]: Yeah.Rune Kvist [00:45:05]: Yeah.Swyx [00:45:05]: And Lloyd's, like, famously very creative. I think I remember some headline like, they insured Jennifer Lopez's, butt or something.Rune Kvist [00:45:13]: Correct.Swyx [00:45:13]: Right?Rune Kvist [00:45:13]: And I think, was it, David Beckham's right foot?Swyx [00:45:16]: So, yeah. Right?Rune Kvist [00:45:17]: And stuff like this.Swyx [00:45:18]: So, like, clearly not a large data set.Rune Kvist [00:45:22]: Exactly. It's actually a remarkable institution that's both kind of has some of the truly school virtues of having been around for a long time. They, like, really. They really operate like a trusted entity, and they have appetite to figure out the future. And I think there's a lot of recognition that both there is, like, tremendous amount of risk in AI that is poorly understood today, so getting into this business carries real risks. But also this is where lots of the risk exposure will happen in the future. This is the one market where risk is truly growing. This is the one market that will also take out some of the existing markets. Take, like, auto insurance. When there are no human drivers, how's that market going to look? Well, it's clearly going to change. How are you going to assessSwyx [00:46:08]: You want to insure Waymo?Rune Kvist [00:46:10]: I. All I'll say is the principles for how you insure Waymo are very similar to how you insure other kinds of AI.Swyx [00:46:15]: Right.Rune Kvist [00:46:15]: So again, crash testing, that's what we do for customer share at Lovable. That will also need to happen for Waymo, which is not how you do it for human drivers. So there's this growing awareness that the world is changing very fast, and the only way to learn how to underwrite AI is to write some policies. You may incur some losses and think of that as R&D expense, really. But the question for them is, like, who are the trustedtechnical partners they can get into this business with that can help them navigate and make sure they don't make, kind of foolish mistakes? But also who is willing to hear the wisdom that they have? They've done this before. They've seen it was. They were there when cyber came out. So there are lots of ways in which AI feels completely new, but there's also lots of ways in which risks look the same. And so there's actually a tremendous amount of wisdom sitting in some folks that may have gray hair, but really have, like, a keen sense of, how to quantify risk.Swyx [00:47:08]: Yeah. And the number is. So it's basically like I want fifty million dollars worth of coverage against these perils, and Lloyd's will give you a quote on it, and then you have, like, a small markup or something, and then you turn it around and do that? Is that as simple as it is?Risk Capital, Premiums, and Working with InsurersRune Kvist [00:47:23]: You basically share some of that premium.Swyx [00:47:25]: Yeah.Rune Kvist [00:47:25]: X percent goes to the people who do the pricing of it.Swyx [00:47:28]: You're. It's kind of like a. It's kind of like a merchant bank for insurance type of thing.Rune Kvist [00:47:33]: Exactly. You basically split the fee, and you can think of the insurance supply chain as, like, there's bringing the capital, there is doing the pricing, and there is doing the distribution. And typically, you will pay out some X percent of premium here, Y percent of premium here, and the rest of it will go here.Swyx [00:47:46]: Does all the insurance world work like this, or is there some point at which, like. So if right now you have equity capitalRune Kvist [00:47:51]: Yeah.Swyx [00:47:52]: At some point, maybe you start raising, debt or whatever, and then you have enough of a bank account and enough history, let's say you've been in operation for ten yearsRune Kvist [00:48:00]: Correct.Swyx [00:48:00]: That you don't need Lloyd's anymore?Rune Kvist [00:48:02]: That's totally an option. And I could see some worlds where that makes sense, specifically if there are risks that we feel high confidence that we'd want to insure where the incumbent insurers are too slow to find appetiteSwyx [00:48:13]: Okay.Rune Kvist [00:48:13]: Or simply struggle to evaluate it such that they don't want to do it. But by and large, in general, you do not want to compete with insurers on, bringing risk capital to the game for two reasons. One is that's fundamentally a cost of capital game. They have extremely low cost of capital. Startups have high cost of capital, by and large. And two, you want to hedge your bets, and it's very helpful then to also have a portfolio of home insurance, of car insurance. And we're not about to become a car insurer nor a home insurer.Rune Kvist [00:48:43]: So they have some natural advantages, which makes it much more likely that we'll partner.Swyx [00:48:48]: Yeah.Rune Kvist [00:48:48]: And they bring that, the capital at scale, and we bring the technical expertise.Swyx [00:48:51]: You're, you're going to work with them for a long time.Vibhu [00:48:52]: How are the discussions with the insurers as well? So basically, they're going off of your certification, right? They're trusting the diligence on you that your certification is valid, you tested the right things, and they're backing the money that, you know, you have the right testing in place. So any interesting takeaways from working with insurers?Rune Kvist [00:49:12]: I think the maybe the first thing is they feed into the standard as well. So if there are things that they feel like they need that they're not seeing, we are also taking that as input into the standard, because fundamentally we think a good standard is one that creates a really healthy promise ecosystem, and we think insurers are a critical part of that. And again, they are the most well-incentivized to. They see all the lost data across every. Any particular CISO knows their particular concerns. Insurers see the concerns across the entire portfolio and often have direct access to, like, what exactly happened, who was at fault, et cetera, as they do part of their forensics. So they're actually, like, a great source of intelligence on this. One of the big takeaways from cyber insurance, which is a market that didn't work that well, was that the insurance and the technical expertise was not married up. What our conviction is that standards have to precede insurance. Fundamentally, what everyone first and foremost want, whether you're a CISO at JPMorgan or a CISO at Cursor or an underwriter at Lloyd's of London syndicate, is you want to not have an incidentRune Kvist [00:50:19]: In the first place. You want to know that the risk is well-managed, and only then does insurance start to make sense. So we'll see the standard ecosystem basically run ahead of the insurance. And the reason why we. You asked us kind of why I also do insurance, this is kind of proving what we think a whole promise confidence infrastructure ecosystem needs to look like, and we think it's very compelling to bring that to life, even if we think the standard is kind of the core linchpin that unlocks the rest.Claims, Liability, Air Canada, and Duty of CareSwyx [00:50:44]: There's been no claims yet, right?Rune Kvist [00:50:45]: Nope.Swyx [00:50:46]: This is one of those things where, you know, if people haven't really worked through what it means to cover things.Rune Kvist [00:50:52]: Yeah.Swyx [00:50:52]: So for example, I pay Cursor $20 a month.Rune Kvist [00:50:55]: Yep.Swyx [00:50:56]: And I write a vibe code something that makes, a plane crash, causing $200 million worth of damage.Rune Kvist [00:51:02]: Yes.Swyx [00:51:02]:

PODCAST LAS NOTICIAS CON CALLE 15 DE SEPTIEMBRE - Josué Colón en chat inédito daba instrucciones sobre contrato de Power Expectations desde 2025, pero dice que él solo estaba supervisando, no ejecutando - El Nuevo Día Hoy Osvaldo Carlo ante comisión en investigación de Power Expectations - Jay Fonseca PR Gobernadora dice que la culpa es de LUMA, por críticas al zar de energía - El Nuevo DíaZar dice que se ha ido la luz por culpa de LUMA no de Genera en gran parte de las ocasiones - El Nuevo Día  74% de los fondos de HUD obligados desde 2017 siguen sin desembolsar - Primera Hora Se daña la planta de Aguirre 1 y 2, no tenemos energía suficiente - WUNO Irresponsable darle más dinero a los pensionados permanentemente, pero un bonito se le puede dar dice la junta - El Nuevo Día Puertos evalúa poner plantas de Gas Natural en Peñuelas y Guayama, pondrían barcazas, Genera dice que no sabe, NEPR alega no ha sido consultado - El Vocero Gobernadora dice que apagones de fin de semana fueron irresponsables y culparon a LUMA - El Vocero Pablo José dice que hay 1764 millones sin desembolsar, pero se supone que estuvieran ya corriendo - El Nuevo Día En la temporada de huracanes es vital tomar medidas para asegurar nuestra tranquilidad.Si tienes dudas, llama al 787-641-7171 Todos tienen una manera diferente de prepararse para un huracán.Lo importante es que lo hagan.Auspiciado por Universal, en nuestro servicio está la diferencia.#universal #incluyeauspicio El bono a 10 años rompe el 5% por primera vez desde la crisis financieraMega logro en ICF, antes no identificaban a 494 muertos en 10 años, y en 2026 ya han logrado identificar a 208 de 224 muertos - El Vocero Segundo RFP paralizado por Liberty USA (ex-Dominion) y sigue la CEE sin máquinas nuevas para proceso electoral - El Nuevo Día Aprietan hutíes y se quedan con el este de Yemen, futuro del petróleo de Arabia incierto - Reuters Cancelados fondos del Hospital El Maestro, 158 millones dice El Vocero - El Nuevo Día Comienza juicio de Anthonieska Descartan racionamiento por ahora - El Vocero Filtran chat de Josué Colón con otros abogados pidiendo aprobar contrato de Power Expectations - El Nuevo DíaTrump pierde caso y siguen las papeletas por correo, por ahora - NYTEjército fuera de Ponce y Aguadilla; siguen en Roosevelt Roads - El Vocero Presentan medida para darle exención contributiva de 150 mil a pacientes de cáncer, pero creen que la Junta va a detener proyecto - El Vocero Senado federal decide hoy si da o no regulación y estabilidad a cripto - NYT Casi ningún empleado incluyendo federales ahorra, de los 20 mil empleados federales la mayoría no ahorra más de 100 mil - El Vocero La Fed subiría tasas de interés mañanaDanBono de $2,000 en ASUME: $810,800 con fondos federales - PHLOS DATOS DEL DÍA Brent$108.34/barril ▲ 3.6% (máx. 4 meses) Diésel (EEUU, retail)~$5.97/galón (rumbo a récord 2026) S&P 5007,621.54 ▼ 0.46% Dow Jones52,421 ▼ 0.29% Bono 10 años~5.04% ▲ (máx. desde 2007) Euro/USD~1.16 (mínimo desde agosto) Gas natural$2.88/MMBtu ▲ 1.8% Hipoteca 30 años~6.9% (subiendo 3 días seguidos)

This recording with Taylor Tondelli is from Vision Weekend Puerto Rico 2026, held in February 2026. In this talk, Taylor argues that intelligence alone, whether human or AI, is not what drives innovation. Raw capability needs the right conditions: incentives, institutional scaffolding, and the diversity of thought that lets new ideas find their footing. The talk examines what those conditions look like and where they tend to break down.Vision Weekend, where this talk was recorded, is where we gather leading builders, thinkers, and funders in AI, bio, nano, neuro, and space to celebrate technological progress and explore how to advance it for the betterment of life. If you want to join a future Vision Weekend live, upcoming events are listed at foresight.org and in our Luma calendar. Hosted on Acast. See acast.com/privacy for more information.

“It's an LLM, a loop, and enough tokens.”—Nicolay Gerold, Amp CodeSo why does a coding agent forget your instructions, keep reading tiny pieces of a file, or struggle with an edit another model handles easily?Nicolay Gerold (Amp) joins Hugo to take that loop apart and explain the harness around it: the software that executes tools, manages context, and lets you steer the agent's work. Nico builds this machinery for Amp, a coding agent that works across software projects.“Every component in a harness is basically an assumption the model can't do it on its own. This expires over time.”— Nicolay GeroldAmp's experimental plan mode addressed models that were too eager to edit. Once they could reliably follow an instruction to plan without editing, the team removed the separate mode. Nico describes a similar change with file reading: stronger models could search, filter, and read files through Bash, reducing the need for a dedicated read tool.That gives builders two questions to ask when a model improves: which workarounds can you remove, and what more can you ask it to do? Nico describes pushing stronger models to delegate work and challenge what their sub-agents return. Better judgment makes that delegation more useful, while making some older controls unnecessary.We start with a small agent in Go, then explore Pi, an extensible coding agent, and the decisions behind longer-running work. Building your own makes failures easier to investigate: you can see which instructions survive a summary and whether the agent can inspect the logs and tests it needs. Nico also recommends experimenting with cheaper models, whose mistakes can expose knowledge you've left in your head instead of giving to the agent. That understanding stays useful even if you ultimately use someone else's harness.You can also find the full episode on Spotify, Apple Podcasts, and YouTube.

1.  Funcionario del DRNA indujo a error a una comisión senatorial sobre laexpansión del vertedero de Carolina2.  CPI exige a ASES entrega de información sobre Plan Vital3.  Por segunda vez en el día: Miles de abonados permanecen sin luz porrelevos de carga4.  Evalúan habilitar muelles de Peñuelas y Guayama para recibir barcazas degas natural5.  Férrea defensa de la gobernadora al zar de Energía en la polémica dePower Expectations. Jenniffer González asegura que LUMA Energy está detrás delas criticas publicas hacia la labor de Josué Colón.6.  Solo 1,485 de 16,000 millas despejadas: Cuestionan avances de LUMAEnergy en trabajos de limpieza de vegetación7.  AAA detiene operación de planta de filtros en Villalba tras detectar"material aceitoso"8.  Hatillo instala sobre 1,370 cisternas de agua a familias vulnerables9.  Tyler Perry se muda para Puerto RicoEste 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.    X61 – 610 AM en Patillas5.    X61 – 94.3 FM Patillas y todo el sureste6.    WPAB 550 AM - Ponce7.    ECO 93.1 FM – En todo Puerto Rico8.    WLRP 1460 AM Radio Raíces La voz del Pepino en San Sebastián9.    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. 

Tanto Moncho como Super Estaca regresan al Manicomio para hablarnos del cannabis medicinal. Y, en este caso, descubrimos que solamente uno de ellos lo utiliza… ¿analmente?Sí, leíste bien. No vamos a elaborar.Mientras tanto, solo uno de los doce miembros del jurado en el caso contra Lindsay Clancy se opuso a declararla inocente. Hablamos sobre el caso, la decisión del jurado y de ese solitario héroe del sentido común que decidió llevarle la contraria a los otros once.LUMA continúa haciendo de las suyas con sus interminables apagones masivos. Esta vez, la víctima fue nada menos que Plaza Las Américas, porque aparentemente ni el centro comercial más grande del Caribe se salva del terrorismo eléctrico.Por otro lado, “El Gusti” ya tiene su boleto de avión ready para dar el brinco a Texas, mientras Pizza Hut parece estar redescubriendo aquello que alguna vez lo hizo especial: comienza a renovar sus restaurantes y a devolverles parte de aquella estética clásica y acogedora que los caracterizó durante los años 80. ¿Estará regresando finalmente el Pizza Hut de nuestros recuerdos?Y, en un tono mucho más personal, se cumplen dos años de la partida hacia el universo de nuestra querida “Titi” Sylvia. Recordamos aquel momento en que recibimos la lamentable noticia, reflexionamos sobre el vacío que dejó su ausencia, la aportación que ella dejó sobre la escena del rock boricua y, sobre todo, celebramos el legado de una mujer que continúa presente en nuestras vidas y en la historia de los Güanimes.Porque podrán pasar los años, pero para nosotros Sylvia siempre será nuestra “Eterna Güanime”.Con las participaciones de Gustavo “Carné Puerco” CáezCarlos “Voodoo Ranger” SoláDeborah “Radioactive Girl” MateoMarcos “El Tribolico” RodriguezMónico “Super Estaca” VazquezRamón “Moncho” MatosGustavito “El Gusti” Cáez Sharon “La Rubia de America” Solá Alberto “Super Servo” ReyesGiancarlo “La Maldad” MartinezAhora puedes conseguir la mercancía oficial de SE RASCÓ ASÍ. ¡Visita nuestro “Güanime Store” y chequea lo nuevo que tenemos!https://guanime-store.printify.me/category/all/1¡Chequea nuestro Linktree!https://linktr.ee/serascoasi?utm_source=linktree_profile_shareADVERTENCIA: El material discutido en este podcast no es apto para menores de 18 años y no representa la opinión de Spotify. Sugerimos discreción. ©2026 Se Rascó Así Productions. Derechos Reservados.

(00:00:00) Neon Ghost: mañana se estrena (00:00:59) La alerta dentro de la carrera de la IA (00:02:42) El 10 % que preocupa a Evan Hubinger (00:03:56) Altman, Amodei y la carrera sin freno (00:05:21) Los 688 agentes y las fugas de IA (00:06:51) Meta, las gafas y el reconocimiento facial (00:07:47) Apple Watch: una IA que escucha (00:08:32) iPhone Duo: precio y futuro del iPad (00:10:39) SIA Import (00:12:05) Siri AI no llega a Europa (00:13:31) Batería: Europa y EE. UU. ya no reciben lo mismo (00:14:27) Luma Vision: IA para detectar problemas vasculares (00:15:59) El lado útil de la inteligencia artificial La inteligencia artificial avanza a una velocidad que preocupa incluso a quienes la desarrollan. En este CuriosiMartes analizamos la renuncia de Jacob Coxon, la estimación personal de Evan Hubinger sobre un posible riesgo existencial, las advertencias de Dario Amodei y el caso de los agentes vinculados al ataque contra RubyGems.Sia Import: Si tenes interés por saber sobre la compra de los nuevos iPhone anotate acá: https://siaimportaciones.com/nuevo-iphone-en-argentina/El debate también llega a nuestra privacidad. Meta retiró código de reconocimiento facial de sus gafas tras un informe de WIRED, mientras Apple plantea funciones de Audio Intelligence capaces de escuchar el entorno, recuperar los últimos 15 segundos y resumir conversaciones. ¿Dónde termina la comodidad y dónde empieza una capacidad que debemos controlar?Además hablamos del iPhone Duo, la ausencia de Siri AI en Europa, las diferencias regionales de batería del iPhone 18 Pro y Luma Vision, una aplicación de IA médica para detectar problemas vasculares mediante análisis visual. La misma tecnología puede generar riesgos reales o mejorar nuestras vidas: la diferencia está en los límites, las pruebas y quién toma las decisiones.Curiosinautas: ¿qué te preocupa más, la privacidad que perdemos hoy o los agentes a los que damos cada vez más autonomía?Fuentes:Forbes — Hubinger y el riesgo existencial: https://tinyurl.com/226sl9pgVentureBeat — advertencia de Amodei: https://tinyurl.com/2cxq2w6tThe Verge — agentes y RubyGems: https://tinyurl.com/22h4aaq6WIRED — reconocimiento facial de Meta: https://tinyurl.com/235fchg79to5Mac — iPhone Duo e iPad: https://tinyurl.com/25xtyg8gFlipboard — Siri AI en Europa: https://tinyurl.com/28kklzkwTechRadar — batería del iPhone 18 Pro: https://tinyurl.com/2dbzkhhbAOL — Luma Vision: https://tinyurl.com/253pe4pv#CuriosiMartes #InteligenciaArtificial #Apple #Privacidad #Tecnología #idearVlog

This recording with Neha Narula is from Vision Weekend Puerto Rico 2026, hosted by the Foresight Institute in February 2026. Neha Narula is the Director of the MIT Digital Currency Initiative and a research scientist at the MIT Media Lab, where she has spent a decade studying digital currencies, payment systems, and the infrastructure of money. In this talk, she examines what the rise of digital currencies, central bank digital currencies, and programmable money means for the future of how value moves through the world, and what it would actually mean for money itself to change fundamentally.Vision Weekend, where this talk was recorded, is where we gather leading builders, thinkers, and funders in AI, bio, nano, neuro, and space to celebrate technological progress and explore how to advance it for the betterment of life. If you want to join a future Vision Weekend live, upcoming events are listed at foresight.org and in our Luma calendar. Hosted on Acast. See acast.com/privacy for more information.

PODCAST LAS NOTICIAS CON CALLE 7 DE SEPTIEMBRE -  Amas de llaves no regresaron el viernes, quizás regresan hoy tras tranque del Departamento de la Familia - El Vocero China hará sus propios microchips para competir con Nvidia en mega centros de data - Bloomberg AEE volverá a manos del gobierno como alternativa real tras demanda de LUMA - El Vocero Cinco muertos y cinco heridos tras avión de Amazon salirse de la pista de Miami, piloto de avión de American justo antes dijo que pensó que se iba a estrellar por condiciones del tiempo - CNNLUMA — el gobierno ya escribió cómo sería el divorcio y LUMA admite que los 9 pueblos que quedan a oscuras sin luminarías todavía - El Nuevo Día Un momento para WindMar Home — la empresa con más de 20 años protegiendo los hogares puertorriqueños.Solar para bajar tu factura. Techo para proteger tu inversión. Agua para que nunca te quedes sin — especialmente con las sequía. Y batería para total independencia energética.Todo bajo una misma empresa. Un solo llamado. Llama al 787-489-1155 o visita windmarhome.com#windmarhome #incluyeauspicio AAA la gobernadora contradice a su propio presidente ejecutivo y dijo que jefe de la AAA se ha querido ir, pero ella no consigue otra persona para sustituirlo y le pide que se quede - El Nuevo Día Proponen multas de mil y hasta 2500 billetes por obstruir el tránsito por gusto en protesta - El Vocero Salen chichones a proyecto de libertad religiosa en PR - El Vocero Piden derecho al voto de los extranjeros en PR, pero eso es contra la constitución por no ser ciudadanos - El Vocero Gobierno vuelve con 80 millones para darle pronto a la gente - El Nuevo Día Ultra derecha barre en Alemania - Reuters USA e Irán se hunden petroleros, Irán atacó 6, USA 3 - Reuters Diesel vuelve a romper el récord de precio a casi 6 dólares el galón - AAANo se puede trabajar porque me quitan los cupones, necesitan cobrar 2480 mensuales para que valga la pena trabajar versus perder los cupones - El Vocero PFAS en Carraízo y La Plata bajo investigación - El Nuevo Día Investigan Células madre desde el RUM al espacio - El Nuevo DíaGobernadora plantea fomentar las Trump Accounts en PR - El Nuevo Día PR supuestamente es el más que creció en las pruebas Crecer de calidad educativa - El Nuevo Día Pablo José Fomenta estudiar energía biotérmica en PR - El Nuevo Día LOS DATOS DEL DÍA Brent$97.36/barril WTI$91.52/barril Gasolina EEUU (promedio)$4.15/galón · récord Diésel EEUU$5.85/galón · récord S&P 5007,718.60 · −0.38% Dow Jones53,414.25 · −0.51% Bono 10 años EEUU~4.8% Euro / USD~$1.16 Gas natural (Henry Hub)$2.98/MMBtu · +2.1% Hipoteca 30 años6.71% · máximo en 13 meses

1.  OCIF alerta: estafadores reciclan a sus víctimas con falsas promesas dereembolso. Comisionada de Instituciones Financieras, Mónica Rodríguez Villa,denuncia que redes de fraude ya han sustraído $1.4 millones este año y advierteque los mayores de 50 años son el blanco principal.2.  Gobernadora sometió argumentos finales para cancelar el contrato de LUMA3.  Bad Bunny gana un premio EMMY por su espectáculo de medio tiempo en elSuper Bowl4.  Falleció el Lcdo. Willie Abreu5.  Se reúne la comunidad para cuestionar los fuegos en el jardín Botánico 6.  La ultraderecha logra una victoria histórica. El partido AfD ocupaprimer lugar de unas elecciones clave en Alemania, según primeros resultados7.  Guerra rusa en Ucrania probablemente “continúe en el invierno”: Zelenskitras cita con Witkoff y Kushner8.  Crece la preocupación por la guerra híbrida rusa. Europa enfrenta unacreciente ola de sabotajes, ciberataques y operaciones encubiertas atribuidas aRusiaEste 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.    X61 – 610 AM en Patillas5.    X61 – 94.3 FM Patillas y todo el sureste6.    WPAB 550 AM - Ponce7.    ECO 93.1 FM – En todo Puerto Rico8.    WLRP 1460 AM Radio Raíces La voz del Pepino en San Sebastián9.    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. 

In this episode of Tank Talks, host Matt Cohen sits down with Keegan McCallum, co-founder and CEO of uRUN, an inference provider built for persistent, steerable, interactive AI experiences. Keegan's path took him from jailbreaking iPods in Thunder Bay, Ontario, to building the infrastructure that powered Luma AI's viral Dream Machine launch, scaling from 500 to 9,000 H100s in six hours to process over half a million videos.They break down why the industry is wrong to shoehorn interactive AI into old request-response systems and why the future belongs to persistent, stateful, real-time experiences. Keegan explains the technical differences between LLMs and video models, why infrastructure is the biggest bottleneck for the next wave of AI, and what it takes to recruit top engineering talent.He also shares hard-won lessons on selling to developers, the Canadian AI talent landscape, and his bold, contrary views on the AI supply chain. From avatars and steerable video to coding agents generating 1,000 tokens per second, this episode is packed with frontline insights.Whether you are a founder building in AI, an infrastructure engineer, or simply curious about where human-computer interaction is headed, Keegan delivers a clear-eyed look at the future of interactive AI.–A big thanks to our sponsor, Moomoo CanadaThis is the kind of tooling that used to live on a Bloomberg terminal, but now it is on your phone, just a few taps away. They offer real-time data, full options chains, and an AI assistant that actually explains trading strategies.Moomoo is the perfect place for people who want to take their money seriously. Open an account today at moomoo.caThe Luma AI Experience: From 500 to 9,000 H100s (04:18)* Joining Luma after building an early LLM infrastructure startup* The Sora demo and the pitch to build and release a competing video model* Building the inference infrastructure for Luma's launch* Scaling from roughly 500 to 9,000 H100s in six hours as Dream Machine went viralWhat a Viral AI Launch Actually Looks Like (06:03)* The request queue hitting 100,000 during the Dream Machine launch* Processing half a million videos in 12 hours and reaching one million users in four days* Why having a queue protected the user experience during the surge* Building infrastructure that could run across raw VMs, Slurm, Kubernetes, and different GPU providers* Why founders need to plan for success before the product takes offWhy AI Production Infrastructure Is Being Left Behind (10:50)* The tension between training the next model and supporting production workloads* Why infrastructure teams can lose talent to model research* The opportunity Keegan saw in building a dedicated ML infrastructure team* Creating infrastructure that model labs across different modalities can use instead of rebuilding it themselvesWhy Video AI Needs a Different Infrastructure Stack (12:32)* The limitations of moving media through traditional object storage* The latency problems that make real-time previews and interaction difficult* Streaming audio, video, images, and text as continuous inputs and outputs* uRUN's focus on making persistent, interactive AI experiences easier to build* Moving AI from something you message toward something that feels present with youThe Shift Toward Omnimodal and Interactive AI (19:01)* What Keegan learned working closely with Luma's research team* Why understanding the research direction matters when building infrastructure* The move toward AI that can understand vision, audio, language, reasoning, and sensor data* How AI has evolved from single prompts to conversations, agents, and interactive systems* Why highly interactive, real-time AI experiences could become the next major interfaceSmall Models, Specialized AI, and the Future of Inference (26:31)* Keegan's previous startup thesis around smaller models and delegated inference* Why continual learning remains a difficult problem* Running capable smaller models locally and knowing when to delegate to larger models* Why enterprises may increasingly want differentiated models running in-house* The potential shift toward using large models for the hardest problems rather than every taskWhere uRUN Is Seeing Early Demand (30:38)* AI avatars for customer support and sales* Steerable video generation that lets users intervene while content is being created* Video transformation for creators, avatars, and live experiences* Real-time visual effects for music festivals and live events* Why world models could eventually have applications in open-world gamingThe Infrastructure Problem Holding Back World Models (00:32:54)* Companies developing world models without the infrastructure to serve them* Why scaling world models remains difficult* The enormous context requirements involved in tracking everything happening in a simulated environment* The need for distributed infrastructure as these models become more capableBuilding a Team Around Hard Problems (35:18)* Finding engineers with deep experience in infrastructure and low-latency inference* Bringing together expertise from New Relic, AWS, Superorbital, and other infrastructure environments* Why Keegan looks for engineers who can work across multiple areas* Building a small team of high-leverage people instead of optimizing for headcountThe Trait Keegan Looks for in Exceptional Engineers (37:47)* Why culture and quality matter more than quantity* Looking for people who take ownership and solve problems without waiting for instructions* The importance of urgency and experience operating under pressure* Why hard problems can attract customers, investors, and exceptional talent* Hiring people who can wear multiple hats and produce at a high levelBuilding AI Companies in Canada (41:29)* Why Keegan keeps finding Canadians throughout Silicon Valley* The advantages of building a strong team in Canada at a lower cost* Government funding and the opportunity to build ambitious companies with smaller teams* The challenge of Canadian companies and talent being pulled toward Silicon Valley* Why Canada needs more ways for companies to grow instead of selling earlySelling Infrastructure to Developers (44:23)* Why developers want to try the product rather than hear a list of performance claims* Giving technical users something they can get their hands on and test* Why open-source surfaces can help developers understand how a product works* Documentation and developer experience as a core part of selling infrastructure* Why developers have a very high tolerance bar for technical errorsThe Infrastructure Shift Coming Next (46:43)* Why persistent streaming infrastructure could become standard* Moving away from request-response systems toward long-running streams* The importance of maintaining state across continuous interactions* Potential applications in real-time video, virtual try-on, image editing, and coding agents* The infrastructure required for AI systems that can generate and respond almost instantlyAbout Keegan McCallumKeegan McCallum is the co-founder and CEO of uRUN, an inference provider built to handle persistent, steerable, and interactive AI experiences. A self-taught engineer who started by jailbreaking iPods in Thunder Bay, Keegan has built a career on tackling the hardest infrastructure problems in Canada. He has held leadership roles at Colony Networks and served as the Head of Engineering at Luma AI, where he led the infrastructure team that scaled the viral Dream Machine launch from 500 to 9,000 GPUs in a single day. His deep technical expertise spans ML infrastructure, cloud-native systems, and low-latency edge computing.Connect with Keegan McCallum on LinkedIn: https://www.linkedin.com/in/keeganmccallum3?originalSubdomain=caVisit uRUN's website: https://urun.sh/Connect with Matt Cohen on LinkedIn: https://ca.linkedin.com/in/matt-cohen1Visit the Ripple Ventures website: https://www.rippleventures.com/ This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit tanktalks.substack.com

This recording with Tom Griffiths is from our Secure AI seminar series, hosted in May 2026. Tom Griffiths is a professor of psychology and computer science at Princeton University and co-author of Algorithms to Live By, which explores how computational thinking can illuminate human judgment and decision-making. In this talk, Tom applies the tools of cognitive science to map the jagged edges of AI capability: the areas where AI dramatically outperforms human cognition, and the areas where it fails in ways human cognizers typically do not. He argues that understanding the precise shape of this frontier is essential for anyone building systems that combine human and AI judgment.If you want to join future seminars live, the schedule is at foresight.org and in our Luma calendar. Hosted on Acast. See acast.com/privacy for more information.

PODCAST LAS NOTICIAS CON CALLE 1 DE SEPTIEMBRE - Estudio RUM/UPR/UT  advierte de que nuestros embalses han perdido hasta un tercio de su capacidad por sedimentaciónLa sombra de Josué Colón, el notorio abogado siempre acompañante del Zar de Energía y sus 12 millones en contratos - CPI AAA pide no dar crédito por falta de agua porque no tiene dinero y va contra el plan fiscal - El Vocero Carísimo el canal de Panamá, así que las leyes de cabotaje esta vez nos ayudaron - El Vocero Thommy dispara contra JGo y pide que esto tiene que cambiar - Facebook En la temporada de huracanes es vital tomar medidas para asegurar nuestra tranquilidad.Si tienes dudas, llama al 787-641-7171 Todos tienen una manera diferente de prepararse para un huracán.Lo importante es que lo hagan.Auspiciado por Universal, en nuestro servicio está la diferencia.#universal#incluyeauspicio Servicio Postal podría no enviar montones de votos por correo en diferentes estados por llegar muy tarde tras instrucciones de Trump - Washington Post Desempleo inaugura plataforma digital Duane Davis culpable del asesinato de Tupac, su defensa era que es un embustero - Washington Post La Junta es culpable de todo hoy, retiró el aval a Power Expectations, extendió el fondo de sequía, aprueba el plan fiscal que la AAA usa pa no hacer su trabajo, bloquea de facto los bonos para dragados según el DRNA, y preside el escenario del caso LUMA ante Swain. La culpa es de El Niño, culpa del flete y la falta de agua El día nacional del "yo no fui”, Josué Colón "evita adjudicar contra 3PPO, LUMA "desconoce" lo que causó avería en Costo Sur, Presidente AAA no se va, pero no ho hay agua y secretario de DACO culpa a otros de "tiroteo políticoCiary Marbetes Pérez: tercera extensión del FEI - Jay Fonseca PR Huelga UPR hoy por plan médico en todo UPR menos UPRM - Primera Hora Llueven proyectos para usar dinero dados por lío de META y adicción a jóvenes - El Vocero Convención de Cruceros en PR - El Nuevo Día DACO ahora dicen que cogerá licencia sin sueldo para poder correr para alcalde - WSKNSecretario de Energía viaja hoy a Venezuela a firmar acuerdo por petróleo, unidos venezolanos contra el acuerdo Renuncia el Secretario del Ejército, Dan Driscoll, tras choque con Pete HegsethLOS DATOS DEL DÍA Brent$91.28 (+0.9%) WTI$86.57 (+0.9%) Gasolina EEUU (AAA)$4.08/galón S&P 5007,686.14 (−0.33%) Dow Jones53,185.90 (−0.70%) Bono 10 años4.76% (subiendo a ~4.78% hoy AM) Euro/USD1.1617 (+0.27%) Gas natural (Henry Hub)$2.91/MMBtu Hipoteca 30 años6.66%

This recording with Robin Hanson is from Vision Weekend Puerto Rico 2026, hosted by the Foresight Institute in February 2026. Robin Hanson is an economist at George Mason University and the author of The Age of Em: Work, Love and Life When Robots Rule the Earth. In this talk, he presents the core scenario of the book: a future in which whole brain emulations are the dominant form of intelligence, and works through the economic logic of what work, relationships, and social structure would look like under those conditions. It is a rigorous thought experiment that applies economic reasoning to questions that usually remain in the domain of science fiction.Vision Weekend, where this talk was recorded, is where we gather leading builders, thinkers, and funders in AI, bio, nano, neuro, and space to celebrate technological progress and explore how to advance it for the betterment of life. If you want to join a future Vision Weekend live, upcoming events are listed at foresight.org and in our Luma calendar. Hosted on Acast. See acast.com/privacy for more information.

In this episode of 10X Growth Strategies recorded live at SF Climate Week, founder and host Preethy Padmanabhan sits down with Rajesh Swaminathan, Partner at Khosla Ventures. Drawing on decades of deep tech and climate investing experience, Rajesh breaks down how AI and energy infrastructure have become deeply intertwined, why Climate 2.0 requires a fundamental focus on techno-economics, and how startups can successfully integrate into existing legacy infrastructure.   In this episode, we discuss:   Why baseload clean energy is the ultimate bottleneck for AI scale and data centers Super hot rock geothermal and nuclear fusion as game-changers for 5-cent kilowatt-hour clean power Solving compute limitations through chip stacking, panel-based approaches, and photonic interconnects Rebuilding U.S. manufacturing leadership across semiconductors, photonics, and energy Strategic learnings moving from CleanTech 1.0 to Climate 2.0 "David AND Goliath": Why integrating into legacy infrastructure beats trying to replace it Top investment themes for the next 3 years: digital grid management, critical minerals, cement, and bio-manufacturing What transforms high-risk science into a venture-scalable company with massive impact Whether you are a deep tech founder, investor, or policy strategist navigating the intersection of AI, climate, and energy—this conversation offers critical insights for building enduring companies.   10X Growth Strategies is a community founded by Preethy Padmanabhan, started as a podcast five years ago and now grown into a community of over 14,000 founders, investors, and executives across Luma and LinkedIn. The community hosts monthly events on timely topics in tech, AI, and entrepreneurship.   Connect: LinkedIn: https://www.linkedin.com/company/10x-growth-strategies/ LinkedIn: https://www.linkedin.com/in/preepadu/ Website: https://grow10x.podbean.com/ Luma: https://luma.com/user/preepadu   #AI #Energy #ClimateTech #DeepTech #AIInfrastructure #Geothermal #NuclearFusion #Semiconductors #VentureCapital #10XGrowthStrategies Chapters: 00:00:09 - 00:01:10 - Welcome to SF Climate Week & 10X Community Intro 00:01:11 - 00:02:25 - The 10X Growth Strategies Mission & Sponsorships 00:02:26 - 00:03:33 - Introducing Rajesh Swaminathan (Khosla Ventures) 00:03:34 - 00:04:26 - 18 Years in Deep Tech: Journey into Climate Investing 00:04:27 - 00:06:00 - Climate 1.0 vs. 2.0: The AI + Energy Paradigm Shift 00:06:01 - 00:09:02 - Geothermal & Fusion: Energy as the Deciding Factor in the AI Race 00:09:03 - 00:11:43 - Next-Gen Compute: Chip Stacking, Photonics & U.S. Manufacturing 00:11:44 - 00:13:34 - Geopolitics, Policy Inconsistency & Building Resilient Infrastructure 00:13:35 - 00:16:12 - Techno-Economics: How Khosla Ventures Structures Seed to Late-Stage Risk 00:16:13 - 00:18:44 - The "David and Goliath" Integration Strategy for Hard Tech 00:18:45 - 00:19:35 - High-Priority Themes: AI for Digital Grid, Critical Minerals & EV/Robotics 00:19:36 - 00:23:25 - Audience Q&A: Geopolitical Friction vs. Founder Execution 00:23:26 - 00:24:38 - Vertical Integration vs. Partnering with Legacy Industries 00:24:39 - 00:25:39 - Audience Q&A: Bio-Based Compute and Manufacturing 00:25:40 - 00:27:20 - What Separates a Venture-Scale Startup from a Science Project

Episode 5: Payment Automation and Buffalo Bills w/ Emily Smythe On this episode hosts Angie Shin and Dave Smith explore insights from the ECW conference, compare Luma's offerings with competitors, and highlight the importance of financial transparency and automation in enhancing patient experience. The discussion also addresses challenges in implementation and the cultural shifts within healthcare organizations as they adapt to new technologies. Find all of our network podcasts on your favorite podcast platforms and be sure to subscribe and like us. Learn more at www.healthcarenowradio.com/listen

Can Reiki help our animals relax, heal, and deepen the connection we share with them? In this episode of the PetAbility Podcast, we explore the fascinating world of Reiki for animals with returning guest Samantha Hankey, CVT, CSAMP, RM.Sam joined us previously to talk about therapeutic massage for animals, and this time she's back to introduce us to another gentle, complementary approach to animal wellness: Reiki. As a certified Veterinary Nurse, Small Animal Massage Practitioner, and Reiki Master, Sam brings a unique perspective that blends her background in veterinary medicine with her training in holistic and energetic practices.What Is Reiki—and How Does It Work With Animals?Reiki is a form of energy healing often described as working with the energy that flows through and around all living things. One of the things that makes Reiki particularly interesting for animals is that it can be offered without physical touch, allowing animals to participate in a way that feels comfortable to them.During our conversation, Sam helps us better understand what a Reiki session may look like, how animals can respond, and why respecting an animal's individual preferences and boundaries is such an important part of the process.In This Episode, We Discuss:What Reiki is and how Sam explains it to a pet parent or someone who has never experienced itThe different ways animals may respond during a Reiki sessionWhy animals don't necessarily need to be touched to receive ReikiHow Reiki may support relaxation, emotional well-being, and a sense of calmThe importance of allowing animals to choose how—and whether—they participateReiki as a valuable complementary practice alongside conventional veterinary care The connection between our own emotions and the animals who share our livesUsing Reiki to create comfort and connection during difficult transitions and end-of-life careCommon misconceptions about Reiki What pet parents should consider when looking for a Reiki practitionerIf you are curious about how energy work might impact and improve your pet's life physically and emotionally, tune in to learn more about how to support your four-legged companion's overall well-being. If you think this may be for you, you may even want to learn how to perform Reiki with your own pet in the comfort of your home.About Our GuestSamantha Hankey is a certified Veterinary Nurse with experience in alternative veterinary medicine. She is a certified Small Animal Massage Practitioner and Reiki Master and has additional training in acupressure, Tui Na, and craniosacral work for animals. Sam combines her veterinary background with holistic approaches to support the well-being of animals and the people who love them.You may find out more about Sam, her services, and schedule an appointment on her website, Healing With Sam or on Instagram @healingwith_samDisclaimerVitalVet.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...

¿Y quiénes son los que no sirven ni pa' pool ni pa' banca?Además de recordar, nuevamente, los casi tres meses de vacaciones que le dieron a Gustavo cuando trabajaba en la policía municipal de Caguas, éste trae su indignación sobre el caso de Lindsay Clancy. Madre quien estranguló a sus tres hijos en hechos ocurridos el 24 de enero del 2023 en Duxbury, Massachusetts, una localidad costera al sur de Boston. Lo que hace más indignante este caso es el hecho de que la acusada cuenta con una red de apoyo por parte de un sector de la comunidad justificando sus actos y culpan al esposo de la asesina como el causante de la tragedia.Puerto Rico se encuentra en un momento crítico y difícil. Protestas por el projecto ESCENCIA, protestas por la deficiencia de LUMA, por las sequías y por la falta de mantenimiento de los sistemas gracias a la AAA. La economía afectada en la isla en un 100%. ¿Cómo es posible que los puertorriqueños tengan el tiempo y el dinero para ver las últimas dos presentaciones de Bad Bunny en su gira DTMF?Desde la WNBA, o mejor dicho, Woke NBA hasta los pelotazos recibidos por los fanáticos del Baseball. Los Güanimes se van full sports mode con una versión mega extendida de GUSTAVO CÁEZ MUÑIZ…¡deportes!Y luego de 114 años establecido en Hollywood, California, la compañía Paramount está considerando irse de dicho estado, supuestamente, por los altos costos de los taxes en la l estado demócrata. ¿O será realmente que l están haciendo la vida difícil por querer hacer el “merger” con Warner Bros.? ¿será Texas una alternativa?Con las participaciones deMío: El Huevo FelizGustavo “El Carnepuerco” CáezGiancarlo “La Maldad” Martinez Gustavito “El Gusti” CáezAlberto “Super Servo” ReyesAhora puedes conseguir la mercancía oficial de SE RASCÓ ASÍ. ¡Visita nuestro “Güanime Store” y chequea lo nuevo que tenemos!https://guanime-store.printify.me/category/all/1¡Chequea nuestro Linktree!https://linktr.ee/serascoasi?utm_source=linktree_profile_shareADVERTENCIA: El material discutido en este podcast no es apto para menores de 18 años y no representa la opinión de Spotify. Sugerimos discreción.) ©2026 Se Rascó Así Productions. Derechos Reservados.

1.    Continúan las pruebas en La Plata tras avería de una de las bombas desucción2.    Gobernadora pide revisar proceso de adjudicación de energía temporera:defiende a Osvaldo Carlo y al zar de Energía3.    Negociado de Energía se desliga de la controversia por el contrato dePower Expectations. 4.    PIP solicita cancelar contrato de Genera e investigar plan parasustituir carbón por gas natural5.    Avería en una de las bombas de La Plata afectará a unos 30,000 abonados6.    LUMA deberá informar al Negociado cuánta generación temporera necesitael sistema7.    Refinanciar la deuda le salió caro al Gobierno: $123 millones enpérdidas y $3,360 millones más en su costo 8.    República Dominicana, segundo país de la región con más legisladores porhabitantes9.    Incapaz de forzar la rendición de Teherán, el presidente Donald Trumpparece estar desahogando su frustración con mayor intensidad contra Omán yotros socios de Estados Unidos10. EE.UU. anuncia nueva salva de sanciones contra Cuba.11. Terremoto de 7,2 grados sacude el sur de Los Andes

1.  Inicia en la Republica Dominicana el juicio por corrupción contra elexministro de Hacienda en ese país y expresidente de Autogermana en PR, DonaldGuerrero2.  Llega al FBI referido por alegaciones de fraude en contrato degeneración temporera de $5,900 millones3.  Prepárese que viene otro aumento. LUMA estima que subirá hasta 25% latarifa base para darle estabilidad al sistema eléctrico 4.  Acueductos y Alcantarillados (UIA-AAA) aclaró hoy las expresionesdivulgadas por la administración de la Autoridad de Acueductos yAlcantarillados (AAA) sobre el proceso de negociación del Plan de Clasificacióny Retribución (PCR)5.  La Academia de Asociados Médicos de Puerto Rico (AAMPR) exigiótransparencia y acción inmediata tras el veto de la gobernadora JennifferGonzález-Colón al P. de la C. 1032, legislación que atiende la escasez demédicos en PR6.  Queremos Sol solicita la terminación de los contratos con NFE y Generaante los procedimientos de reestructuración y la creciente precariedadfinanciera de la empresa7.  Denuncian el rechazo de la Legislatura Municipal de Salinas a reunirsecon comunidades afectadas por Steri Tech8.  A 10 años de la Junta, informe concluye que Puerto Rico vivió "unadécada perdida"9.  Captura de nueve narcos desata bloqueos y quemas en México.10.            La deuda en EEUUalcanza los $40 trillones11.            Estados Unidos lleva acabo una operación encubierta para transportar petróleo a través del estrechode Ormuz. 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.    X61 – 610 AM en Patillas5.    X61 – 94.3 FM Patillas y todo el sureste6.    WPAB 550 AM - Ponce7.    ECO 93.1 FM – En todo Puerto Rico8.    WLRP 1460 AM Radio Raíces La voz del Pepino en San Sebastián9.    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. 

This recording with Brandon Green is from Vision Weekend Puerto Rico 2026, hosted by the Foresight Institute in February 2026. In this talk, Brandon Green makes the case that monetary infrastructure is upstream of many of the world's most persistent problems: that flawed money enables misalignment and short-termism at a systems level. He argues that fixing the foundations of how money works would unlock progress across a wide range of domains, and lays out what that would require.Vision Weekend, where this talk was recorded, is where we gather leading builders, thinkers, and funders in AI, bio, nano, neuro, and space to celebrate technological progress and explore how to advance it for the betterment of life. If you want to join a future Vision Weekend live, upcoming events are listed at foresight.org and in our Luma calendar. Hosted on Acast. See acast.com/privacy for more information.

This recording with Lauren Wagner is from Vision Weekend Puerto Rico 2026, hosted by the Foresight Institute in February 2026.Lauren Wagner is a computational social scientist and policy expert who serves as a Nonresident Fellow at the Abundance Institute. Her work focuses on AI governance, technology trust and safety, and reducing regulatory barriers to beneficial emerging technologies. In this talk, she addresses what it actually takes to build AI systems people can trust: which technical and institutional properties matter most, how trust gets built and broken, and where current frameworks are not keeping pace.Vision Weekend, where this talk was recorded, is where we gather leading builders, thinkers, and funders in AI, bio, nano, neuro, and space to celebrate technological progress and explore how to advance it for the betterment of life. If you want to join a future Vision Weekend live, upcoming events are listed at foresight.org and in our Luma calendar. Hosted on Acast. See acast.com/privacy for more information.

1. "Esencia no va": Claman más de 200 artistas y científicos por el riesgo ambiental del megaproyecto2. Protestan de Acueductos, protestan las feministas, protestan los envejecientes y hasta los artistas3. LUMA anticipa será “complicado” precisar las causas de 300 eventos de interrupción eléctrica4. Cuestionan viabilidad de proyectos energéticos tras revocación de contrato5. Alcalde de Peñuelas pierde la paciencia: ¡Ya basta!6. ¿Qué esperar de la nueva sesión legislativa?7. El Gobierno de Sheinbaum expone a periodistas críticos en una lista y desata temor e indignación8. Sube el pulseo entre Trump y China por los minerales críticos se intensifica entre Beijing y Trump9. Trump ordena recortes a los ejercicios militares conjuntos con Corea del Sur a pesar de las advertencias sobre la creciente experiencia bélica de Corea del Norte10. Lula lanza su histórica candidatura para un cuarto termino para frenar la derecha y consolidar su legado, pero el hijo de Bolsonaro lo enfrentaEste 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. X61 – 610 AM en Patillas5. X61 – 94.3 FM Patillas y todo el sureste6. WPAB 550 AM - Ponce7. ECO 93.1 FM – En todo Puerto Rico8. WLRP 1460 AM Radio Raíces La voz del Pepino en San Sebastián9. 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.

- Atrasado Educación en pago a servicios y hasta no tiene dinero para el College Board y pruebas - El Vocero Columna de Bad Bunny en El Nuevo Día sobre Prichard y los sueños de un boricua Le dan un mes a Educación para saldar sus deudas - El Vocero Gobernadora ahora recomienda cancelar contrato de Power Expectations - El Vocero Recursos Naturales identifica pozos ilegales - El Vocero Gobierno federal suelta 227 millones para modernizar el tren urbano - El Nuevo Día Superacueducto se hizo para 75 millones de gasolines y ahora tira 1000 - El Nuevo Día Trump le impone tarifas de 100% a drones chinos - Bloomberg En la temporada de huracanes es vital tomar medidas para asegurar nuestra tranquilidad.Si tienes dudas, llama al 787-641-7171 Todos tienen una manera diferente de prepararse para un huracán.Lo importante es que lo hagan.Auspiciado por Universal, en nuestro servicio está la diferencia.#universal #incluyeauspicio Midterms a 81 díasRivera Schatz de gira por las escuelas - El Nuevo DíaLuto en PR muere el alcalde de Cataño, Julio Alicea VasalloJGo la más Tolosa de nuestros políticos - El Nuevo Día Vuelve controversia por el parking del El Escambrón en multipisos - El Nuevo Día Desestiman demanda de Trump contra Harvard por abuso contra judíos - El Nuevo DíaEl americano dejó de ahorrar: 2.7%, cerca del mínimo histórico - Bloomberg Irán/petróleo: EEUU dice que puede mantener el bloqueo naval "indefinidamente" y prepara nuevas sanciones; el crudo sigue con prima de guerra pese a corregir 2% el jueves.Deuda EEUU: el Tesoro colocó bonos a 30 años a 5.216%, la tasa más alta desde 2001 — señal de que financiar el déficit sale cada vez más caro.LUMA pierde en Boston: el Primer Circuito desestimó su apelación • ⁃ Bad Bunny montando en el Hiram Bithorn, pero no confirman aunque casi - El Vocero 

Henry Greene of KraneShares discusses the KSTR ETF, which provides exposure to China's technology and semiconductor sectors through innovative companies listed on the STAR Market. He also introduces the firm's new LUMA ETF, explaining how photonics and optical communications technology could help solve the data bottlenecks created by growing artificial intelligence demand.======== Schwab Network ========Empowering every investor and trader, every market day. Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/ About Schwab Network - https://schwabnetwork.com/about

Jayson Luma, Section Chief of the Pediatric Emergency Department at Valleywise Health, joined Arizona's Morning News to talk about how you can keep your children safe during extreme heat.

This recording is from Vision Weekend Puerto Rico 2026, hosted by the Foresight Institute in February 2026. View the recording of this talk on our Youtube.Allison Duettmann is the President and CEO of the Foresight Institute. In this talk, she presents the Foresight AI Nodes program: a distributed network of locally-based research groups working on AI for science and safety. She covers how the program is structured, the rationale for a decentralized approach, and what the early nodes have been working on.Vision Weekend, where this talk was recorded, is where we gather leading builders, thinkers, and funders in AI, bio, nano, neuro, and space to celebrate technological progress and explore how to advance it for the betterment of life. If you want to join a future Vision Weekend live, upcoming events are listed at foresight.org and in our Luma calendar. Hosted on Acast. See acast.com/privacy for more information.

PODCAST LAS NOTICIAS CON CALLE 6 de agosto de 2026 -Junta autoriza fondos de emergencia para bregar por la crisis - 31% de estudiantes en PR lleva más de nueve meses sin pagar préstamos estudiantiles - Legislatura pide 300 millones del fondo de emergencia para bregar con la sequía - Primera Hora Alcalde de Cabo Rojo anuncia que va a construir mini estado de fútbol con cumplimiento FIFA - Primera Hora UPR no sabe su presupuesto para poder firmar contratos y acuerdos con profesores - El Nuevo Día Le pagaron a los transportistas escolares - El Nuevo Día En la temporada de huracanes es vital tomar medidas para asegurar nuestra tranquilidad.Si tienes dudas, llama al 787-641-7171 Todos tienen una manera diferente de prepararse para un huracán.Lo importante es que lo hagan.Auspiciado por Universal, en nuestro servicio está la diferencia.#incluyeauspicio #universal Supremo de PR acoge demandas contra LUMA, unifica casos en recurso de certificación - El Nuevo Día JGo celebra sus 50 años con eventos de recaudación de 2500 y 250 pesos - El Nuevo Día Comienzo parcial de Amazon Dorado Costa Sur logra prender unidad 5 - Genera Obispo de Caguas pasa a ser Arzobispo de San Juan - Metro Candidato de la extrema izquierda en Michigan gana contra Stevens - Axios Irán amenazó directamente a los estados vecinos de que les va a atacar su infraestructura de vecinos - Reuters LOS DATOS DEL DÍA (cierre 5 de agosto) Brent$79.26 (-0.13%) WTI$75.69 (-0.10%) S&P 5007,736.52 (+1.79%) — récord Dow54,085.88 (+1.71%) — 1er cierre sobre 54K Nasdaq26,584.99 (+2.59%) Bono 10 años4.62% Euro/USD1.1551 (+0.17%) Gas natural$2.67/MMBtu (-0.84%) Hipoteca 30 años6.76% (máx. de ~1 año) Gasolina PR+~70% en 6 meses (contexto)

PODCAST LAS NOTICIAS CON CALLE 4 de agosto de 2026 - Llega el fin del SSN 751, el submarino USSA San Juan - El Nuevo Día Primarias instrumentales hoy en Estados Unidos - Politico.com Otro barco es atacado por Irán en Hormuz, mientras Trump dice que es su último break antes de decapitarlos - Reuters Reunión de Emergencia en Europa tras incidente en Ceuta - FT El diésel sigue caro por la guerra  PR Genera produce electricidad quemándolo 30 millones menos para arreglar equipo de la AAA En la temporada de huracanes es vital tomar medidas para asegurar nuestra tranquilidad.Si tienes dudas, llama al 787-641-7171 Todos tienen una manera diferente de prepararse para un huracán.Lo importante es que lo hagan.Auspiciado por Universal, en nuestro servicio está la diferencia.#universal #incluyeauspicio Manifestación en el Normandi de los enca por falta de agua - El Vocero Si no llueve, viene racionamiento formal porque informal lleva tiempo - El Vocero Fuera secretario de Corrección, nombran nueva secretaria - El Nuevo Día Gobernadora miente y dice que documental de LUMA lo paga el pueblo - El Vocero DACO tiene 3344 casos activos en espera de atención - El Vocero Si no llueve esperemos lo peor dioj la gobernadora - Primera Hora Piden hincar pozos para aliviar la crisis - Primera Hora PR mejoró en las pruebas CRECE locales, veremos a ver si en las pruebas NAEP también Otro asesinato por pruebas de colindancia - Primera Hora Sujeto se dispara en el casino metro del Sheraton tras acomodarse la pistola que se le estaba cayendo y no la tenía en baqueta - Primera Hora No van multas por malgastar agua - El Nuevo Día Purga en el PPD par elegir nueva junta de gobierno - El Nuevo Día Invierten en aeropuerto privado de PR al lado del público  El Nuevo DíaSan Juan Cruise Port vuelve a decir que van a lograr rehabilitar el muelle 1 de San Juan con fondos CDBG, gobierno anunció 98 millones - El Nuevo Dia USA sale al rescate del yen japonés - Reuters Trump vs. las petroleras - Las acusa de "ganar demasiado" -  Exxon dobló ganancias interanuales; Chevron marcó récord tras guerra de Irán 25 estados demócratas demandan a Trump por los nuevos aranceles. La Tax Foundation calcula un golpe de ~$1,000 por hogar en 2025.La "Truth API" de Trump - Cobra a firmas de trading de alta frecuencia hasta $1.2M al año por ver sus posts milisegundos antes que el público. Un conflicto de interés monumental - LOS DATOS DEL DÍA (cierre lunes 3 de agosto) Brent$83.82 / barril (−4.7%) WTI~$81.75 (+1.8% martes AM) S&P 5007,489.72 (+0.7%) Dow52,485.03 (+0.5%, +277 pts) Bono 10 años4.70% Euro / USD1.154 Gas natural$2.77 / MMBtu Hipoteca 30 años~6.93%

How do you know when a dog will truly benefit from a brace? Can a CCL brace for dogs replace surgery? What role does a dog hock brace play after an Achilles tendon injury? In Part 2 of our conversation with canine physical therapist Caroline (Carrie) Adrian, BS, MSPT, PhD, tCPT, we turn our attention to hind limb injuries and conditions and the growing role of canine orthotics in veterinary rehabilitation for the pelvic limb.We begin with a brief review of orthoses for the front limb, trunk stabilization and pelvic/hip support devices before diving into some of the most common indications for hind limb orthoses. Carrie shares how custom orthotic devices can protect healing tissues, improve function, reduce pain, and support mobility in dogs recovering from injury, managing chronic conditions, or requiring long-term assistance.Just as importantly, we discuss why quality matters. Not all braces are created equal, and poorly designed, poorly fitted, or copycat products may fail to provide appropriate support—or even interfere with healing. Orthoses should always be selected based on a sound diagnosis, patient-specific goals, and careful follow-up.In This Episode:Review of trunk support and hip stabilization optionsWhen is a brace the right choice—and when is it not?What can orthoses realistically accomplish?Conservative management with orthoses versus surgeryThe importance of custom design, fit, and follow-up carePotential complications from poorly fitted devicesWhy rehabilitation exercises remain essential alongside bracingThe risks of knockoffs, copycat devices, and inadequate supportSkin management and monitoring during orthosis usePelvic Limb Topics CoveredTrunk, Pelvis & Hip (or coxofemoral joint)Review of trunk stabilization devicesSupport for hip dysplasia, weakness, and neurologic conditionsThe role of pelvic support in dogs with mobility deficitsHow garments facilitate posture and why posture matters for functionStifle (Knee)Cranial cruciate ligament disease (CCL/ACL injuries)Three basic choices of careFunctional bracing following injury or surgeryWhy bracing won't help medial patellar luxation (MPL) Meniscal considerationsMatching the orthosis to the individual patientSetting realistic expectations for outcomesTarsus (Hock or ankle)Achilles tendon injuriesGraduated Flexion Orthoses (GFO) the balance between allowing appropriate tissue stress to augment healing while protecting healing tissue from reinjuryOrthosis ManagementSkin care and pressure point monitoringImportance of proper fit and ongoing adjustmentsGradual acclimation to brace use - the scheduleRegular reassessment as healing progressesKey TakeawaysBraces are medical devices—not one-size-fits-all solutions.Proper diagnosis and custom fitting are critical for successful outcomes.High-quality canine orthotics can improve mobility, comfort, and healing.Poorly designed or improperly fitted braces may delay recovery or cause additional problems.Rehabilitation remains an essential part of every bracing program.Find Dr. Adrian at CanineIQ.net.Her email is Info@CanineIQ.netCompanies and products mentioned during this episode:DogLeggsHero BracesThera-PawWiggleLess®HipLignWhether you're a veterinary rehabilitation professional, veterinarian, technician, student, or devoted pet owner, this episode offers practical guidance on how orthotic devices can help improve mobility, function, and quality of life for canine patients.Thanks for listening to PetAbility Podcast! If you enjoyed this episode, please subscribe, leave a review, and share it with colleagues and fellow animal rehabilitation enthusiasts.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 3 de agosto de 2026 - En problemas Pedro Sánchez y su gobierno tras invasión de marroquíes, 72 murieron - El País   - Politank todavía no ha entregado documentos de cumplimiento en DDEC - El Vocero - OGPe autoriza a Esencia Boricuas pueden decidir el próximo congreso literalmente - Politico Alegan estudiantes han mejorado mucho en PR - El Nuevo Día AAA dice que Esencia no tiene endosos porque no tienen capacidad de darle agua - El Nuevo DíaJGo veta medida para combatir ausentismo escolar, pero aprueba soltarle chavos a alcaldes en ley empujada por Rivera Schatz - 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 Entran las nuevas tarifas de Trump de 10 y 12.5%, hasta 50% - Tax Foundation Trump jura que hablarán con Irán de nuevo hoy - El País First Bank dice que no hay prueba de que supiera de malas mañas de Epstein - Noticel Irán desmiente a Trump y dice que no están negociando nada - Reuters Genera culpa a LUMA otra vez y le pide más coordinación - El Nuevo Dí aSe estremecen alcaldes, los obligarán a pagar por uso de energía eléctrica en actividades con fines de lucro - El Nuevo DíaEmergencia agrícola por mosca del Mediterráneo detectada en PR - Noticel 24 asesinatos más que a la misma fecha el año pasado Apagan Carraízo por necesidad de proteger a buzos que trabajaban en planta, reunión hoy por sequía - El Nuevo DíaCámara citará a ejecutivos de Genera PR por fallas en la generación eléctricaRivera Schatz le contesta a Díaz Olivo - El Nuevo Día Los Dodgers vuelven a la carga y se quedan con Skubal - ESPNDesalinización de agua no va por ahora - El Nuevo Día El Julio más seco en la historia documentada en PR - El Nuevo Día AAFAF no envía a la Junta certificado de impacto fiscal de ley que evita cobrarle 300 a energía renovable - El Nuevo Día JGo firma ley de propia imagen para evitar que te roben en inteligencia artificial - Metro Recintos no saben sus presupuestos todavía - El Nuevo Día Trump retira cargos por supuesto vandalismo en el estanque reflectante - El Nuevo Día Nos quedamos fuera del SNAP otra vez - El Nuevo Día Miguel Romero vuelve a la carga contra la AAA tras incumplimientos de acuerdos y dejar a San Juan sin agua otra vez - El Nuevo Día NEPR vuelve a darle break a Genera para que explique su atraso de cambio del sistema energético - El Nuevo Día Genera justifica atraso de cambio en Mayagüez a gas, pero dice que están adelantados en Cambalache porque ellos lo aceleraron - El Nuevo Día Junta vuelve a detener aumento de sueldo y pensiones a alguaciles aprobado sin saber de dónde salen los fondos - El Nuevo Día Piden privatizar las cuevas de Camuy - El Vocero 429 policías se han ido en 7 meses - El Vocero Orgullo y tragedia pa Puerto Rico cerró con 11 medallas, pero 24 asesinatos más que el año pasado LOS DATOS DEL DÍA (cierre viernes 31 julio; los mercados de EEUU no operan sáb/dom) Brent$88.46/barril (+20%+ en el mes por la guerra con Irán; cae fuerte el finde con la desescalada) Diésel PR (al detal)~$1.20–$1.30/litro (último dato DACO disponible; sin actualización confirmada para agosto) S&P 5007,489.72 (+0.7%) Dow Jones52,485.03 (+0.53%) Bono 10 años4.75% Euro/USD1.1485 Gas natural$2.76/MMBtu Hipoteca 30 años6.66% (la más alta en un año)Fuentes: CNBC · Trading Economics · Forbes · DACO

PODCAST LAS NOTICIAS CON CALLE DE 31 DE JULIO - Aunque cabildeado por Politank gobierno dice que va a cancelarle el contrato a Physician Correccional - El Vocero Viene estado de emergencia el lunes por sequía - El Vocero Zar de Energía advierte que Genera no contestó y LUMA sí contestó requerimientos de explicar daños - El Vocero Justicia dice que fue un accidente la muerte de Cotto Cartagena - Jay Fonseca PR Gobernadora dice que tiene vergüenza ajena por falta de aumento de sueldo de policías, culpa a la Junta - El Vocero En la temporada de huracanes es vital tomar medidas para asegurar nuestra tranquilidad.Si tienes dudas, llama al 787-641-7171 Todos tienen una manera diferente de prepararse para un huracán.Lo importante es que lo hagan.Auspiciado por Universal, en nuestro servicio está la diferencia.#universal #incluyeauspicio Gobernadora dice que ahora sí va contra el impuesto de inventario - El Nuevo Día Fuera presidente de la Inter luego de que la Escuela de Optometría perder acreditación - El Nuevo Día 5800 maestros siguen esperando pagos de carrera magisterial - El Nuevo Día Fox News reporta asesinatos horrible en PR y familia busca ayuda para hacer investigación privada - El Nuevo Día  Científico boricua logra que asteroide lleve su nombre por sus logros de astronomía - El Nuevo Día Farmacéuticas ya casi no crean empleos - El Nuevo Día Múltiples muertos en zona española de Marruecos La guerra EEUU-Irán se expande — primer ataque con dron en Egipto (puerto de Damietta). Petróleo +20% en julio - Bloomberg Venezuela no se la pone fácil a empresas americanas para sacar petróleo donde ellas entienden que hay más billete - WSJTrump plantea acuerdo de paz con Hamas e Israel, Congreso no logra frenar guerra de Irán - Axios Google seca a los medios (−34% de tráfico). Afecta la supervivencia del periodismo local - Bloomberg LOS DATOS DEL DÍA (cierre 30 julio 2026) Brent~$90.04/barril (−0.8%) WTI~$83.89/barril · +20% en julio Diésel EEUU (retail)$5.31/galón S&P 5007,437.64 (+1.7%) Dow Jones52,208.06 (+1.2%) Bono 10 años4.69% Bono 30 años~5.24% (máx. desde 2007) Gas natural (Henry Hub)~$3.29/MMBtu Hipoteca 30 años6.66% (Freddie Mac

PODCAST LAS NOTICIAS CON CALLE DE 22 DE JULIO - Brutal ventaja para PR si sabemos aprovecha, Trump planifica tarifas de 100% para medicamentos genéricos - FT Apagones son más largos, aunque menos frecuentes - El Vocero Secuestrado desde anoche en caso Elvia - El Vocero Empresas tienen que crear su propia agua y reciclarla para poder operar en PR - El Vocero Pelea por si el daño brutal en Central Costa Sur fue culpa de LUMA o de Genera - El Nuevo Día Trump tumba billones por supuestos casos de corrupción tras desastres en USVI - El Nuevo Día Junta regaña a DACO por no haber hecho tecnología para empresarios acordada y en lío de Valerie - El Nuevo Día Trump dice que va a bombardear zona nuclear de Irán - Fox News China salvaje, forma montones de operativos navales en zona de otros países incluyendo Taiwán y Filipinas - Economist Encuentran avión estrellado en PR en los años 50 - Primera Hora Radican cargos contra uno del os cabilderos más influyentes en PR, Ariel de Codepola supuestamente agredió a un sujeto - Primera Hora • Muchos de ustedes se están preparando para volver a la rutina, comprando los materiales para la escuela, la universidad o hasta el trabajo.Para ayudarte T-Mobile trajo la oferta de back-to-school: un iPhone 17 Pro más un Apple Watch SE 3, ¡por la casa, sin trade-in!Arranca con equipo nuevo y beneficios que otros no te dancomo hotspot ilimitado, streaming incluido, internet y textos ilimitados cuando viajas sin costo adicional.También te puedes llevar el iPad A16 por solo $199 via créditos a tú factura más impuestos. Cámbiate en solo 15 minutos en el app de T-Life y regresabien conectado.Solo con T-Mobile, la mejor red móvil en Puerto Rico.Requiere plan de financiamiento y servicio elegible. Restricciones aplican.#Tmobile#incluyeauspicio Costa de PR bajo aviso de calor extremo - MetrNovo demanda a Lilly por supuestos anuncios engañosos - Semafor ChatGPT admite que su modelo se fue a lo loco a hackear a otra empresa sin ellos tener control sobre el sistema - BBC Vecinos muestran que planta de Guayama de carbón presuntamente ha contaminado hasta cuerpos de agua tras dragado presentar cenizas - El Nuevo Día Presidente de la AAA dice plan Pesquera no sirve - El Nuevo Día Guerra de Irán ya va por 37 billones y se esperan 75 más - Semafor Irán escala: Trump promete bombardear "Pickaxe Mountain". La guerra ya cuesta $37.5 mil millones.Petróleo: Brent sube a $91.10 (+2.11%) por el miedo a Hormuz.IA: Un modelo de OpenAI "se fue rogue" y hackeó a otra empresa de IA.Mercados: Wall Street cerró en verde; los chips empujaron al Nasdaq +1.29%.GOP: Reconciliación es un lío; Cámara y Senado ni se hablan (Punchbowl).Pharma: Novo Nordisk demanda a Lilly por sus anuncios de medicamentos de obesidad. LOS DATOS DEL DÍA (cierre martes 21 de julio) Brent$91.10/barril (+2.11%) Diésel (EEUU retail)~$3.80/gal (referencia, presión al alza por crudo) S&P 5007,509 (+0.89%) Dow Jones52,225 (+0.74%) Nasdaq25,837 (+1.29%) Bono 10 años4.63% (+3 pb) Euro/USD1.1413 (-0.01%) Gas natural$2.86/MMBtu (-0.11%) Hipoteca 30 años~6.63%

PODCAST LAS NOTICIAS CON CALLE DE 20 DE JULIO -  Reunión emergencia entre JGo y su equipo de Fortaleza durante el día de hoy - WUNO Avería en Costa sur por dos semanas deja en problemas sistema energético - Primera Hora Petróleo se trepó otra vez a un mes tras ataques y muertes de soldados - Oil Price Rusia disparó misiles balísticos como no había hecho desde el comienzo de la guerra en la capital - AlJazeera 71% de boricuas de la diáspora favorece la estadidad según encuesta, 68% de los hispanos en general - El Diario NY Alegan que Mamdani considera arrestar a Netanyahu cuando vaya a New York este año - NYPost 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#incluyeauspicioSe dobla la cantidad de fondos Medicaid - El Vocero Josué Colón responsabiliza a LUMA por fallas de Genera - El Vocero Yovngchimi pide le devuelvan la cadera de oro - El Vocero Cuesta 40 millones evitar la erosión para que caiga el Paseo Lineal de Puerta de Tierra - El Vocero Pablo José propone enmendar la Constitución para referendo revocatorio, segunda vuelta y elecciones por posiciones - Primera Hora Mujer perdió 1,300 billetes por ayudar a Keanu Reeves, sujeto muere por desafío de aguantar respiración bajo el agua, caen varios con rentas de casas de lujo con depósito inmediato - Primera Hora Contrato de generación temporera vuelve a la negociación - El Nuevo Día GENERA podría ser multada por no acabar de poner la generación temporera que lleva casi dos años de atraso - El Nuevo Día Todavía hay problemas de plomo en residencial en Vega Baja - El Nuevo Día Junta culpa a AAFAF por falta de arreglar sistema de energía por fondo rotatorio no tener reglamento, AAFAF culpa a LUMA - El Nuevo Día Sigue inoperante hospital de Vieques y muere ciclista por falta de llegar equipos - El Nuevo Día Cancelacion de destaques en venganza dice Rivera Schatz - El Nuevo Día Junta advierte que hay 20 millones asignados a alcaldes por Legislatura - Metro Mafia institucional en Hacienda no logró nada en PR, pero sí casos federales - Noticel El petróleo Brent rompió los $90 y la gasolina en EEUU regresó sobre $4/galónLOS DATOS DEL DÍA (cierre viernes 17 jul — los mercados de EEUU no abren fin de semana)Brent$88.10/barril (+4.6% vie) · rompió $90 el fin de semanaWTI~$82/barrilDiésel PR (retail)~$1.23–$1.32/litro (DACO, 18 jul)Gasolina PR (regular)~$1.05–$1.10/litroS&P 5007,457.69 (−1.0%)Dow Jones52,146.42 (−0.8%, −406 pts)Nasdaq25,520.24 (−1.4%)Bono 10 años4.55%Euro/USD1.1440Gas natural$2.91/MMBtuHipoteca 30 años6.55% (Freddie Mac)

PODCAST LAS NOTICIAS CON CALLE DE 17 DE JULIO - Mega proyecto para arreglar en varias fases el super acueducto - El Nuevo Día500 mil de fianza a sujeto que iba a dejar morir o matar viejita en Las Piedras - El Vocero Se supone que al fin acabe el escaneo de furgones - El Nuevo Día Gas Natural de USA el gran ganador de guerra de Ormuz - Semáforo Trump jura que CHINA interviene en elecciones de USA y comete fraude - CNN Corrección podría mudarse por renta muy cara - El Nuevo Día Supremo no decide si va a resolver el caso de LUMA de arranque - El Nuevo Día Guerra de grandes ligas por pago de COBRA tras impuestos a la construcción de alcaldes - 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#incluyeauspicio #MCSEmpezarán a cobrar el tren urbano otra vez - El. Vocero Educación dice que ha cumplido tanto con los padres de educación especial que merece que bajen multa de 11 mil diarios a mil - El Nuevo Día Demócratas inundados en dinero en comparación con republicanos para midterms - Punchbowl News Fin de semana sin IVU para escuelas arranca hoy - El Nuevo Día Buscan apoyo a proyecto de status - El Nuevo D´â Ahora Valerie Rodz dice que Domenech sí intervino para detener solicitud de propuestas - El Nuevo Día Le tendrán que dar a los fondos buitres de la deuda de la AEE expediente para ver si gastaron dinero que era para la deuda - El Nuevo DíaLOS DATOS DEL DÍA  Brent ~$84.93/barril · cerca de máximos de 1 mesDiésel/gasolina al alza siguiendo el crudo (dato PR sin confirmar)S&P 500 7,533.77 (−0.51%)Dow Jones 52,552.97 (−0.20%, −105.67 pts)Bono 10 años 4.59% (+0.04)Euro/USD 1.1433 (−0.27%)Gas natural Henry Hub sin confirmar; gas europeo €55/MWh (máx. desde marzo)Hipoteca 30 años 6.55%

PODCAST LAS NOTICIAS CON CALLE DE 16 DE JULIO - Gobierno dice que LUMA tiene que irse en el Supremo de PR - El Vocero 200 millones para rehabilitar el tren urbano - El Vocero Nuevo arancel de 25% a Brasil entra el 22 de julio; escalada comercial en curso.Los demócratas se rompen por Israel, sobre 100 votan contra ayudar a Israel - Semafor Bonistas logran aliado en Rivera Schatz, alega que la Junta solo quiere ofrecer poco para seguir quedándose en PR y no negociar pa guisar en PR - Noticel AAA dice que dará créditos por falta de servicio - El Vocero Trump tiene mensaje especial esta noche a las 9PM Un momento para WindMar Home — la empresa con más de 20 años protegiendo los hogares puertorriqueños.Solar para bajar tu factura. Techo para proteger tu inversión. Agua para que nunca te quedes sin — especialmente con las sequías que se aproximan. Y batería para total independencia energética.Todo bajo una misma empresa. Un solo llamado. Llama al 787-489-1155 o visita windmarhome.comWindMar Home — los que se preparan hoy , duermen tranquilos mañana.#incluyeauspicio #windmarhomeAlcaldes se enteran por los medios de racionamiento de agua, Comerío, Cidra, Canóvanas y Río Grande, San Lorenzo no tendrá, no anunciaron en Carolina - El Vocero EEUU atacó un petrolero y objetivos en el norte de Irán; Teherán respondió contra bases estadounidenses en Baréin, Kuwait y Jordania, y advierte que resistirá "hasta el final".Líderes de inteligencia artificial piden regulación de la inteligencia artificial - Axios Al fin aprueban ley para prohibir el escaneo obligatorio de furgones - El Vocero LePen está al frente en las encuestas de Francia - Reuters Se harán 3 casinos más en PR - El Vocero No hay jurisdicción federal en caso de Domenech y Sebastián hasta ahora - El Nuevo Día Huevos bajan demasiado de precio tras dumpeo federal - El Nuevo Día Albergue se va a quedar con perro que atacó a secretario de Recursos Naturales - El Nuevo Día Corrección no paga la renta de su sede y quieren contrato de 4 millones por quedarse en oficinas - El Nuevo Día Tres testigos dicen que Elvia sacó algo punzante de cartera - El Nuevo Día Sigue la guerra de Paulson v. Ghaffar en el tribunal de PR - El Nuevo Día Este weekend es el back to school sin IVU   LOS DATOS DEL DÍA (cierre / referencia 15-16 jul) Brent$84.95 · +12% en 3 sesiones  Gasolina EEUU (AAA)$3.89/gal · +9¢ semana  S&P 500 (fut.)~7,610 · -0.1%  Dow (fut.)+145 pts · +0.3%  Bono 10 años4.57% Euro/USD1.1431 · +0.1% Gas natural (Europa)€53.1/MWh  Hipoteca 30 años~6.65%

PODCAST LAS NOTICIAS CON CALLE DE 15 DE JULIO - Las primarias no le preocupan a JGo - El Vocero Rivera Schatz refiere a subsecretaria de la gobernación Itza García - El Vocero Bonistas la emprenden contra la Junta porque alegan esconden dinero para no pagar la deuda de la AEE - El Vocero USA envía barcos para confrontar a China en el Pacífico - WSJAhora mismo vuelven a atacar a Irán y cierran el estrecho de Hormuz - WSJProcurador del envejeciente la emprende contra la baby secretaria de la Familia - El Vocero Llega a PR la diarrea explosiva de cyclospora - Metro Adictos a la lotería, aumenta 7% la cantidad de billetes, 780 millones se juegan en PR - El Vocero     •    ¿Te ha pasado que llegas de viaje y se te arruina la ilusión tan pronto ves la factura del teléfono y tienes cargos adicionales?     •    Se suman más y más y más cargos adicionales por cada llamada, mensaje, búsqueda que hiciste.     •    Eso me llegó a pasar, hasta que me cambié a T-Mobile.     •    Los únicos que ofrecen SIN COSTO ADICIONAL internet y textos ilimitados en más de 215 destinos.     •    Ya no me tengo que preocupar cuando viajo, ni cuando regreso porque ya está incluido, sin cargos adicionales.     •    Viaja relax con T-Mobile, ¡Cámbiate hoy en T-Life o llama al 1800TMOBILE!#incluyeauspicio #tmobileDistrito Sports Hub en Centro de Convenciones con 20 millones de inversión - El Vocero Agricultores dicen que la sequía los está destruyendo - Primera Hora Gobernadora dice que LUMA no puede demandar al gobierno y pide al Supremo acoger el caso y resolverlo para sacar a LUMA - Metro Tres años de cárcel para Arriaga por abuso de menor de 12 años - Jay Fonseca PR Prohíben los jetskis en Salinas tras más casos de muerte de manatíes - Primera Hora ICE detiene operativos que incluyan detener carros cuando tras matar joven colombiano, Trump cambia decisión - WSJMoody's da buena nota pero con cuidado a San Juan para emitir deuda - El Nuevo Día EE.UU. golpea Irán por 4to día; Trump amenaza con volar plantas eléctricas y puentes. Brent en $86.82.LOS DATOS DEL DÍA (cierre martes 14 de julio)Brent$86.82/barril  +4.45%WTI~$80/barril (máximo de 4 semanas)Gasolina EE.UU. (prom.)$3.89/galónDiésel EE.UU. (retail)cerca de $5/galónS&P 5007,543.59  +0.38%Dow Jones52,508.27  +0.02%Bono 10 años4.583%Euro/USD~1.14 (últ. dato disp. 11 jul)Gas natural (Henry Hub)~$3.00/MMBtu (11 jul)