Podcasts about TLA

Alguna vez te has encontrado cerca de una obra en construcción, definitivamente no es agradable, el ruido, el polvo, es hasta agobiante dependiendo de qué horario utilizan para realizar la obra, pues sabes la biblia nos compara a esas obras en proceso, tal vez sea desagradable cuando están estableciendo en los cimientos, pero definitivamente cuando la obra esté terminada será impresionante, será algo totalmente distinto y habrá válido la pena todo ese proceso, porque seremos perfectos para nuestro encuentro con Cristo Base Bíblica:Filipenses 1:6 TLADios empezó el buen trabajo en ustedes, y estoy seguro de que lo irá perfeccionando hasta el día en que Jesucristo vuelva.https://bible.com/bible/176/php.1.6.TLA

In 2025, seven-month-old startup Axiom solved all 12 of the problems Putnam exam (scoring 8/12 in the time limit) a prestigious undergraduate math exam. The 12/12 score is better than the top undergraduates (110/120) and the closest AI system that reported a result (DeepSeek 103/120), although it is unclear what the people and other systems would have scored with more time. Nonetheless, the Putnam exam is legendary for its difficulty, with the median score typically being 0 or 1 points. Taken by itself, this seems like a minor feather in the cap of AI; one of a long series of accomplishments by AI systems in elite competitions with humans, starting with Deep Blue beating Kasparov.Fast forward to mid-2026, and Claude Code is eating the world. In 2024 Anthropic's bet on code and enterprise looked like a more pragmatic niche play vs. OpenAI's better models and massive consume scale. Today, Amodei's all in bet on acceleration via code (images and video be damned) seems prescient.Despite Anthropic's growing momentum, however, Axiom CEO Carina Hong sees coding ability as a necessary but not sufficient milestone on the path to AGI. Code arguably pushes the jagged frontier to the point of super intelligence in some domains outside of coding, but there are surprising gaps (link) that Carina believes will bottleneck AI progress. (Stats on math benchmarks).The informal bottleneck“Verified AI” sounds like eating broccoli (footnote: I actually love broccoli, but then again, I also believe strongly in Test Driven Development, so ¯(ツ)/¯ ) and paying taxes, but to Axiom it means something very different. “Verification to me is about scaling brilliance, compounding brilliance,” Carina told us.It actually took a while for me to understand what she means by this. It sounded like marketing-speak to me, until it clicked. Carina emphasizes an story about legendary mathematician Srinivasa Ramanujan to illustrate the point. When G.H. Hardy finally persuaded Ramanujan to formally prove theorems instead of relying on his (formidable) intuition, it reportedly improved his own capabilities. This is presumably because formally proving things forced Ramanujan to articulate the details in a way that open up new lines of thinking, etc. This is one part of “compounding.”But formally proving things also allowed others to benefit from his intuition: the proofs are way of communicating an intuition and persuading others that the intuition is correct. This is scaling (more people use the result) and compounding (people can learn from and build on his work).This is the analogy that Carina wants us to focus on.Verified GenerationThere are two ways that Verified AI shows up: in training and in inference.But a quick detour: to a first approximation, “Formal Verification” means using type checkers (like for TypeScript, C++ or Rust, but more capable) to verify mathematical proofs that are meticulously specified using a language like Lean (footnote: Formal verification also includes model checking (TLA+, SPIN), SMT-based tools (Dafny, F*, Why3), and refinement-type systems (Liquid Haskell) — many of which don't look much like “type checking a proof” from the user's perspective even when there's a similar logical core underneath. It also gets applied to software and hardware correctness, not only pure mathematics.). It takes a lot of work to translate an “informal” proof (albeit one that most people would not remotely call “informal”) in to a Lean proof (footnote: This is an understatement. Most theorems remain informal because formalization is so hard to do. There has been a great deal of effort to formalize the most important proofs, with mixed results)You can imagine how this would be (very) useful during Reinforcement Learning: instead of relying on best guesses based on statistics (GRPO, RLHF, etc.), you can just verify the proof is correct using a Lean verifier. This is obviously a much stronger reward signal, akin to compiling code and testing it (which is what is typically done with RL on coding).The catch: LLM are not (currently) very good at proving things with Lean.Enter Axiom: While they have not officially reported benchmark numbers besides the 12/12 Putnam result, Carina reports that they have achieved a very impressive 99% (187/189) ProofGen on the Verina benchmark. This benchmark is to generate code and proof of correctness for a series of problems. For context, OpenAI o3 (the last known OpenAI run) achieved 4.9% on this benchmark.Based on the sparse benchmarking, it's hard to say what the frontier labs are currently doing, but Carina suggests that they still are not training to generate Lean proofs directly, rather relying on informal proofs.Time will tell if the frontier labs' current approaches will close this gap.Scaling and compoundingCarina's Ramanujan analogy is pretty direct. Better proofs → better Lean generation → better RL. A stronger signal means higher sample efficiency and higher maximum performance. Great!Scaling is pretty clear too: once I have proved something in Lean, the quality of the output is basically (footnote: one might argue that its a bit lower because the proof is in distribution for the LLM) as high as if it came from a human, so my high quality training set has grown in a way that an informal rollout corpus cannot. I can trust my Lean proofs.Compounding is also clear: now all of future inference and training can build upon those proofs.On the other hand, a model trained only using statistical signals like GRPO during RL lacks the sample efficiency, maximum performance and compounding corpus that a system that uses formal verification benefits from.All roads lead to verificationBroccoli and taxes notwithstanding, “verification” has shown up in a lot of conversations recently. In the in physical system control:“I think [verifiability] is probably the hardest problem right now, because the as the models get better, it can be harder and harder to find the faults on the system. And so the problem of doing proper eval to find those faults, that problem also keeps getting harder as the models get better.” -In theoretical physics:“…now that we're in this regime where you can just get ChatGPT to tackle thousands of questions at the same time, it will return proofs for a significant fraction of them. Now actually the onus is back on the humans to verify all the outputs. And so, yeah, as that becomes a bottleneck, I think formalizing math and automating verification will become more valuable.” -Verification is, in fact, the key differences between AI for science and AI for computation: in science you to have to actually test (verify) your hypothesis by performing physical experiments. Lab in the loop systems like Radical AI and Lila build around exactly this premise (we have recorded episodes with both of these teams and will release them soon!)And yes, formally verifying critical systems such as flight control, nuclear power plants and pacemakers is a growing focus as the software and hardware that run them becomes more complex.Carina believes so strongly that AGI requires verified generation that she makes the unqualified claim that “We do not believe there is any other possible future.”Expensive to produce, cheap to verifyLean proofs are hard generate, but they can be easily shown to be correct or incorrect. But how do you know that the proof you created maps correctly to the problem you care about? As Carina puts it: “Anything that can be specified can be proven. Humans are bad at specifying everything we want.”Are we now in the specification business? Check out the episode to hear Carina's take, as well as:* Why hardware verification is a killer app* Details on the AXLE open API and recently released Discovery toolkit* The Erdos debacle* The OpenAI GPT-f diaspora This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.latent.space/subscribe

In this episode, host Carrie Bresnehen, district library specialist with Austin ISD, is joined by Katie Adams, Heather Stephens, and Sarah Ruttan for a conversation inspired by their TLA session, “Beyond the Book Fair: Strategies to Stretch Your Library Budget.” Together, they share creative and practical approaches for making limited library funds go further across a variety of campus settings. The discussion explores fundraising ideas tied to campus culture, including T-shirts, coffee sales, and social media campaigns to encourage donations, as well as partnership opportunities like sister library collaborations and local bookstore fairs. The guests also highlight ways to expand programming with little to no cost by repurposing existing materials, securing donated furniture through organizations like Green Standards, and taking advantage of free TEKS-aligned educational resources from the Texas Wildlife Association. Throughout the episode, they emphasize collaboration, creativity, and community support as key tools for sustaining vibrant school library programs.

Si quieres tener éxito, Dios dice que debes meditar en su Palabra: "Nunca dejes de leer el libro de la Ley; estúdialo de día y de noche, y ponlo en práctica, para que tengas éxito en todo lo que hagas" Josué 1:8 (TLA). Entonces, ¿cómo lo haces? El pastor Rick comparte la respuesta en esta transmisión sobre la meditación bíblica. To support this ministry financially, visit: https://www.oneplace.com/donate/1463/29?v=20251111

The one where we fantasize about financial security and a regulated nervous system, unpack TLA 2026, and celebrate the opening of Charity Alyse's indie bookstore!Donate to Charity's GoFundMeConnect with Mariko Turk online:⁠⁠⁠⁠Website⁠⁠⁠⁠ | ⁠⁠⁠⁠Instagram⁠⁠⁠⁠ | ⁠⁠⁠⁠Buy Mariko's books⁠⁠⁠Connect with Andrea Beatriz Arango online:⁠⁠⁠⁠Website⁠⁠⁠⁠ | ⁠⁠⁠⁠Instagram⁠⁠⁠⁠ | ⁠⁠⁠⁠Buy Andrea's books⁠⁠⁠Connect with Laekan Zea Kemp online:⁠⁠⁠⁠Website⁠⁠⁠⁠ | ⁠⁠⁠⁠Instagram⁠⁠⁠⁠ | ⁠⁠⁠⁠Buy Laekan's books⁠⁠⁠Connect with Jasminne Mendez online:⁠⁠⁠Website⁠⁠⁠ | ⁠⁠⁠Instagram ⁠⁠⁠| ⁠⁠⁠Buy Jasminne's books⁠⁠⁠

Namesake has its West Coast premiere at the Doxa Festival this month. The film documents an ongoing conversation between the Tla'amin Nation and the city commonly known as Powell River over a proposal to reclaim the city's name, which is derived from a recent colonial official. We speak with Dr. Evan Adams, co-director of Namesake.

«Recuerde en todo momento que el dinero que usted guarda en la caja no es suyo. Lo único que importa es que salve el pellejo. Si se le ocurre hacerse el héroe, ya sabe lo que le espera.» Quien así hablaba era José Shapiro, dando una clase a un grupo de empleados bancarios sobre la prevención del robo. Shapiro sabía lo que estaba diciendo. Él había pasado nueve años en penitenciarías federales por haber asaltado dieciocho bancos. Ahora, regenerado, dedicaba su tiempo a asesorar a empleados bancarios de cómo proceder en caso de un asalto. «El cajero debe incluso sonreírle al ladrón —recomendaba Shapiro—, porque así puede pescar algún detalle especial, tal como un diente de oro, que sirva para identificar al delincuente, si éste le sonríe también.»1 Entre los muchos oficios pintorescos del mundo actual, tenemos este de José Shapiro. Con una larga trayectoria como asaltante, escogió por fin el camino del bien, y como conocía todos los trucos y artificios del asaltante, les enseñó a los empleados bancarios cómo reaccionar en el momento crítico de enfrentarse al cañón de una pistola. Hay un refrán que dice: «Del viejo, el consejo», porque la sabiduría popular comprende que los años, junto con las canas, acumulan mucha experiencia. Y como «la experiencia es la mejor maestra», según otro conocido refrán, más vale que aprendamos de ella todo el mal que no debe hacerse, así como el bien que puede hacerse y no se hace. ¿Qué pasaría si cada persona, al llegar a los cincuenta años, comenzara a enseñar a los más jóvenes todo lo que no debe hacerse? Quizá las nuevas generaciones, si estuvieran en disposición de aprender, irían perfeccionando su vida moral. Uno de los mayores deberes de los padres es advertirles a sus hijos acerca de las cosas que no deben hacerse debido a que acarrean fracaso, amargura y dolor. Por algo será que el poeta argentino José Hernández, en la segunda parte de su obra clásica titulada La vuelta de Martín Fierro, declara que «un padre que da consejos, más que padre, es un amigo».2 Más vale entonces que los jóvenes escuchen a los mayores para así recibir el beneficio de la experiencia que éstos tienen que ofrecerles. Pero conste que, según el escritor español José María de Pereda, «la experiencia no consiste en lo que se ha vivido, sino en lo que se ha reflexionado».3 Porque vivir sin reflexionar sobre el orden moral de la vida es poco más que existir. ¿Por qué no reflexionamos sobre los siguientes proverbios afines del sabio Salomón? «Hijo mío, guarda siempre en tu memoria los mandamientos y [las] enseñanzas de tus padres.... Te guiarán cuando andes de viaje, te protegerán cuando estés dormido, hablarán contigo cuando despiertes. Atiende a mis palabras, hijo mío; préstales atención. Jamás las pierdas de vista, ¡grábatelas en la mente! Ellas dan vida y salud a todo el que las halla. Y sobre todas las cosas, cuida tu mente, porque ella es la fuente de la vida.»4 Carlos ReyUn Mensaje a la Concienciawww.conciencia.net 1 Texto original del Hermano Pablo no documentado; véanse News Clip: Banks and Robber [Video de noticias: Bancos y asaltante], KXAS-TV, 5 mayo 1988, Fort Worth, Texas, University of North Texas Digital Library [Biblioteca Digital de la Universidad del Norte de Texas] En línea 30 septiembre 2025; y Andrea Marie Kampwerth, «Former Bank Robber Gives Lesson on Crime» [Antiguo asaltante de bancos da una lección sobre el delito], The Southern Illinoisian, 21 septiembre 2004, En línea 30 septiembre 2025. 2 José Hernández, La vuelta de Martín Fierro, en Poesía gauchesca (Caracas: Fundación Biblioteca Ayacucho, 1977), p. 371 En línea 30 septiembre 2025. 3 Luis Señor González, Diccionario de citas, 1a. ed. (Espasa Calpe: Madrid, 1997), p. 213 En línea 30 septiembre 2025. 4 Pr 6:20,22; 4:20-22 (DHH); 4:23 (TLA)

Mistral has been on an absolute tear - with frequent successful model launches it is easy to forget that they raised the largest European AI round in history last year. We were long overdue for a Mistral episode, and we were very fortunate to work with Sophia and Howard to catch up with Pavan (Voxtral lead) and Guillaume (Chief Scientist, Co-founder) on the occasion of this week's Voxtral TTS launch:Mistral can't directly say it, but the benchmarks do imply, that this is basically an open-weights ElevenLabs-level TTS model (Technically, it is a 4B Ministral based multilingual low-latency TTS open weights model that has a 68.4% win rate vs ElevenLabs Flash v2.5). The contributions are not just in the open weights but also in open research: We also spend a decent amount of the pod talking about their architecture that combines auto-regressive generation of semantic speech tokens with flow-matching for acoustic tokens (typically only applied in the Image Generation space, as seen in the Flow Matching NeurIPS workshop from the principal authors that we reference in the pod).You can catch up on the paper here and the full episode is live on youtube!Timestamps00:00 Welcome and Guests00:22 Announcing Voxtral TTS01:41 Architecture and Codec02:53 Understanding vs Generation05:39 Flow Matching for Audio07:27 Real Time Voice Agents13:40 Efficiency and Model Strategy14:53 Voice Agents Vision17:56 Enterprise Deployment and Privacy23:39 Fine Tuning and Personalization25:22 Enterprise Voice Personalization26:09 Long-Form Speech Models26:58 Real-Time Encoder Advances27:45 Scaling Context for TTS28:53 What Makes Small Models30:37 Merging Modalities Tradeoffs33:05 Open Source Mission35:51 Lean and Formal Proofs38:40 Reasoning Transfer and Agents40:25 Next Frontiers in Training42:20 Hiring and AI for Science44:19 Forward Deployed Engineering46:22 Customer Feedback Loop48:29 Wrap Up and ThanksTranscriptswyx: Okay, welcome to Latent Space. We're here in the studio with our gues co-host Vibh u. Welcome. Thanks. Excited for this one as well as Guillaume and Pavan from Mistral. Welcome. Excited to be here.Guillaume: Thank you.swyx: Pavan, you are leading audio research at Mistral and Guillaume, you're Chief Scientist,Announcing Voxtral TTSswyxHost(00:05) Okay. (00:05) Welcome to Lean Space. (00:06) We're here in the studio with trustee co-hosts, Vibhu. (00:09) Welcome.VibhuHost(00:11) Very excited for this one.swyxHost(00:12) As well as Guillaume and Pavan from Mistral. (00:15) Welcome. (00:16) Excited to be here. (00:17) Thank you for having us.(00:18) Pavan, you are leading audio research at Mistral and Guillaume, you're a chief scientist. (00:23) What are we announcing today where we're coordinating this release with you guys?GuillaumeGuest(00:26) Yeah, so we are releasing Voxtral TTS. So it's our first audio model that generates speech. It's not our first audio model. We had a couple of releases before.(00:35) We had one in the summer that was Voxtral, our first audio model, but it was like a transcription model, ASR. Like a few months later, we released some update on top of this, supporting more languages. Also a lot of table stack features for our customers, context biasing, precision, timestamping and transcription. We also have some real-time model that can transcribe not just at the end of the level.(00:56) You don't need to fill your entire audio file, but that can also come in real-time. And here, this is a natural extension in the audio, so basically speech generation. So yeah, so we support nine languages, and this is a pretty small model, 3D model, so very fast, and also state of the art. Performed at the same level as the base model, but it's much more efficient in terms of cost, and also much, in terms of cost, it's also much cheaper, only a fraction of the cost of our competitors.(01:22) And we are also releasing the work that this model is running.swyx What's the decision factor?Guillaume It's a good question.swyxThere will be more. Yeah, Pavan, any sort of research notes to add on?Architecture and CodecPavan: But it's a novel architecture that we develop inhouse.We traded on several internal architectures and ended up with a auto aggressive flow matching architecture. And also have a new in-house neural audio codec. Which, converts this audio into all point by herds latent [00:02:00] tokens, semantic and acoustic tokens. And yeah, that's that's their new part about this model and we're pretty excited that it's, it came out with such good quality and Jim was mentioning. Yeah, it's a three B model. It's based off of the TAL model that we actually released just a few months back and insert trunk and mainly meant for like the TTS stuff, but they need text capabilities are also there. Yeah.swyx: So there's a lot to cover.I always I love any, anything to do with novel encodings and all those things because I think that's obviously I creates a lot of efficiency, but also maybe bugs that sometimes happen. You were previously a Gemini and you worked on post training for language models, and maybe a lot of people will have less experience with audio models just in general compared to pure language.What did you find that you have to revisit from scratch as you joined this trial and started doing this? At leastUnderstanding vs GenerationPavan: when it comes to, for, I think the, there are two buckets, I guess the audio understanding and audio [00:03:00] generation. The audio understanding, like the walkthrough models that Kim was mentioning that we released earlier.The walkthrough chat that we released I think July last year, and the follow up transcription only, models family that we released in January, that would be one bucket, and the generation is another bucket. I think. You can also treat them as a unified set of models, but currently the approaches are a little different between these two.To your question on how audio is fed to the model? In the understanding model, it's very similar to actually Pixar models that we also released,swyx: yes.Pavan: That'sswyx: amazing.Pavan: It was pretty, I, that was the first project I worked on after joined Misra. It was pretty, pretty nice. And Wtu was very similar in spirit.I guess So we feed audio through an audio encoder similar to images through a vision encoder, and it produces continuous embeddings and which are fed as tokens to the main transformer decoded transformer model. Yeah. On the model output is just text. So on the output side, there is nothing that needs to be done in these kinds of mode.I [00:04:00] guess the interesting part of what the generation stuff is, the output now has to produce audio and. The approach that we have is this neural audio codec, which converts audio into these latent tokens. There is a lot of existing attrition and a lot of models which are based off of this kind of approach.And we took a slightly. A different, design decisions around this. But at the end of the day, the neural audio product converts audio into a 12.5 herdz set of latents. And each latent is, has a semantic token and a set of acoustic tokens. And the idea is that you take these discrete tokens and then feed it on the input side.There's several ways to use this at each frame, but we just sum the embedding. So it's like having key different vocabularies. Combine all of them because they all correspond to one audio frame on the input side. The output side is the interesting part on the output side, the, it's not the, I don't know if it's the most popular, but one.Popular technique is to have a depth transformer [00:05:00] because you have K tokens at each time step, like with a text, you just have one token at each time step. So you just do predict the token from the vocabulary with, yeah, with just, you get probabilityswyx: This's a very straightforward text. VeryPavan: straightforward.swyx: Yeah.Pavan: But if you have K tokens, then the name thing would be to predict all of them in paddle. That doesn't work. At least that doesn't work that well because audio has more entropy. And the, one of the techniques people use is this depth transformer where you you almost have a small transformer, or it can be L-S-T-M-R in as well, but people use transformers and you predict the K tokens in auto aggressive fashion in that.So you have two auto reive things going on.Flow Matching for AudioPavan: So the thing we did differently is in, instead of having this auto aggressive K step prediction, we have a flow matching model. Instead of modeling this as a discrete token set we trained the codec to be both discrete and continuous to have this flexibility.So we did try the discrete stuff too, and which it works well, but the continuous stuff works just better. So yeah, we took this flow matching, so the, it's a flow [00:06:00] matching head, which takes the latent from the main transformer and like kind in fusion, it's denoising, but in this flow matching itself, velocity estimate.So you go from this noise t all the way to there. Audio latent, which corresponds to the 80 millisecond audio and then, which is sent through the work order to get back the 80 millisecond audio frame.swyx: Yeah. Is this the first application of flow matching in audio? Because usually I come across this in the image.Pavan: Yeah. Actually, in some sense there are models flow matching models in audio, but I think this specific combination I could be wrong. There could be somewhat. No. I haven't seen. I haven't seen much work in this, so I think it's novel and a lot of it's just a way bigger community, so they, I think they pioneer a lot of these diffusion flow matching work, and it's interesting to adopt some of the ideas there into audio and,swyx: yeah.Pavan: Yeah, I'm, personally that's the think part which is trying out about. One of more meta point is unlike text, even in vision, I think this is true, but in [00:07:00] audio step literature that there is no.Winner model, yet there is no, okay, this is the way you do things. It's it's still by, I think people are still iterating and figuring out like what's the best overall recipe. I guess the idea. Pretty sure there are models which are also completely end-to-end, like NATO audio. NATO audio, but it's still not come to a convergence point where this, the right way to think that.That also makes. A space pretty exciting to explore.Real Time Voice AgentsVibhu: What are some of the ways to look at it?Vibhu: There are ways where you can do diffusion for audio generation, but if you want like real time generation, that's a big thing with the approach I'm assuming that you took. Yeah. And also like how do you go about evaluating different axes of what you care about, yeah,Pavan: good point. I think we so you can do just flow matching diffusion for the whole audio. We didn't even go down that path because one of the main applications is voice agents and we want real time streaming, and that's the use case. That's not the only use case, but that's one of the primary use cases we want to get to.So we [00:08:00] picked the auto aggressive approach for that. And within the auto aggressive space, again, you can do chunk by chunk or you can do so we picked the. I think at least personally prefer the operations, which are the simplest, and so we try to see, can we just add audio as just another head to our regular transformer decode model because that kind of makes it easier for eventual end-to-end modeling of audio text native modeling.Yeah. And it works pretty well. So I guess we went with that and we tried a little bit, but the flow matching head itself, like we had a discreet. Diffusion kind of approach, which also works well, but the flow matching work better.swyx: I was just curious about how you also think about this overall direction of research.Do you basically, when you work with the audio team, do you set some high level parameters and then let them explore whatever, or how does it work between you guys?Guillaume: No I think the way it works is that we are the, we are prioritizing together, I think, what are the most important features because there are many things we can do [00:09:00] in audio.Yeah, I think we try to. These are like how we should do things, for instance. Ultimately what we want to do is to build this through duplex model, but we are not going to start this start there directly, I think is. Some of the project people are doing, butswyx: just to confirm, full effects means it can speak while I'm speaking or,Guillaume: yeah.Okay. Audio. Yeah. Yeah. So intimately we're going to get there, but for us it was, we decided to take it like a step by step. So we start with whatever is the most important. I think support customers, which is the transcription is the most popular use case. Then the speech generation, Soviet time, just a bit before that.And then actually to be like more, but try combining everything all together. But but yeah, we thought it was also important to like separate things and optimize each capability one by one before weswyx: measure of that together. And the super omni model. ButGuillaume: very interesting because as Par said, it's when you work on some other domains of this airline and everything, there are many areas where I think it's not as interesting.For instance. Many places, it's essentially just around data or like creating new environments on a lot of kind [00:10:00] of easy things. But things were, I think the research is maybe not as interesting. Were in audio. There are so many ways to actually build this model. So many ways to go around it. That's the sense I think is really interesting.And what we also tried for speed generation is that we tried multiple approaches. What was interesting that even though they were extremely different, they under the big know the particles but the for matching turned out to be quite more natural. So we are happy with this.swyx: Is there intuition why it maybe like flow matching is just models speech better in some natural fundamental, latent dimension?Pavan: No, I think the main thing is e even at a particular time step, there is a distribution of things.swyx: Yes.Pavan: To be predicted like the way you inflate. So you already know the word that you're speaking and Yeah. The intake space, let's say the word maps register a single token for simplicity.In most cases it does. So there is not a lot of so you just pick the word, but with within audio, even the same word could, even with your own voice, could be inflicted in so many different ways. And I think [00:11:00] any approach which like models this distribution and. And flow matching is one, one of the take.It's not the only one at all, but it's a one which works pretty reasonably well. I think that's better. So you have to pick across several different, the intuition I have is it's, there are some, several different clusters each corresponding to some specific way you would inflict, pronounce that thing.And you can't predict the mean of it because that corresponds to some blurred out speech or something like that. But you have to pick one. And then like sharpswyx: conditional inference.Pavan: Yeah, exactly.swyx: Is that all covered under disfluencies, which is I think the normal term of art. Pauses intonations. By the way, I have to thank Sophia for setting all this up, including like some of these really good notes becausePavan: Yeah.swyx: I'm less familiar with the audios for me.Pavan: No. I think dis dismisses are definitely one such Eno defenses is more likeswyx: which is arms are.Pavan: Yeah, arms. And also repeat like you like,swyx: yeah.Pavan: You do this full of words, your thinking, so you repeat the word.swyx: Okay. Whereas intonation is like a diff, it's up up [00:12:00] speak and all this.Okay.Pavan: Yeah. So I think there is a lot of like entropy. And modeling it as a distribution. And a, any technique which helps with it and the depth transformer is a conditional way of modeling this. And Transformers actually really good at it, even though that's a mini transformers. So I think that worked pretty well too for us too.It's just that the main concentration is when you have a depth transformer. If you have K tokens, you need to do K auto steps, right? Even though it's a small thing, it's K steps, which is very vacant, say heavy, but flow matching. We were able to cut it down significantly. So we are able to do the inference in quad steps or 16 steps and it works pretty well.And there are more normal techniques to bring it down even further to like, in extreme case, one step like we're not doing it yet, but it at least the framework, LEDs itself to more efficient and Yes.swyx: And the image guys have done.Pavan: Yeah.swyx: Incredible work guys. Yeah.Pavan: It now you just. Send a prompt and you get an image.swyx: Yeah. Surprisingly not enough. I think image model labs use those techniques in production. I think it's, I feel like it's a lot of research demos, but [00:13:00] nothing I can use on my phone today.Guillaume: The thing, there's a thing that would be interesting here is that since, indeed I've been so much sure that has been done in the vision community compared to radio dys, stomach, I think there are so many long infra Yeah.And there are so many things we can do to actually improve this further. So it's our first version, but we have so many ways to exist, much better and much more efficient, cost efficient, soswyx: yeah.Guillaume: So really it's not a new field at all, of course, but there are still so many things that can be done.Perfect. It'sswyx: nice. I should also mention for those who are newer to flow matching, I think the creator, this guy's name is Alex, he's done I think in Europe's maybe two Europes as ago. There was, there's a very good workshop. There's one hour on like this matching is I would recommend people look that up.That's the other thing, right?Efficiency and Model Strategyswyx: The efficiency wise, like I, I imagine like the reason is open weights the reason you pick 3.6 B backbone it you are 3.4 B you are, try to fit to some kinda hardware constraints. You kinda fits some kinda basic constraints. What are they?Guillaume: Not necessarily, I think something we care about in our model that they're efficient.So we have a [00:14:00] lot of separate model, for instance. So we have this that is very small, very efficient. We also have a small OCR model that is available. Good, highly efficient as well. And I think on a project maybe there, I think companies are going to take is to have a coverage general model that will do a bit of everything.But that is also going to be expensive. On here. What want say is if you care about this specific use case, if you can actually use this model, it just does that. It's extremely good at it. Survey, very efficient. That's why we can actually add. We do, but also OCR that are like really good at that.And that would be much more cost effective factors and the general model that will contain a lot of capabilities you don't really need. So yeah. So we're doing like general model, but also like more customized model. This,Open Weights and BenchmarksVibhu: how does it compare to other TTS models? It's, we are going follow open wave.We're just dropping it. I think it's pretty good.Pavan: Yeah, I think it's pretty good. Like it, it's definitely one of the best. For sure. It's probably I would say it's the best open source model, butVibhu: decipher themselves.swyx: Yeah.Voice Agents VisionVibhu: Why now? How does it fit into broader ral vision? How do you see voice agents?How do you see voice? I think every year I've heard, okay, you're a [00:15:00] voice. You're a voice. There's a lot of architectural stuff. There's a lot of end time that see it, your solving, but where do you see voice setting?Guillaume: We had so many customers asking for voice. That's also why we wanted to build it.What's interesting in this domain is that. In a sense, if you take something simple like transcription it doesn't seem like something that should be very hard to do for a model. It's essentially, it's pattern recognition. It's classification on this. Models are very good at classifying, right?Or nonetheless, when you talk to them it's not there yet, right? It's not, you don't talk to them the same way you talk to a person. On something, maybe people don't realize it. It's in English it's still much better than in any user language, even compared to French instance. If you talk to this million in French, when you see people talking to this they'll talk very slow.They'll articulate as much as they can. So it's not natural, right? We're not yet to this. And I think, yeah, maybe the next generation will not know this, but yeah, I think people that. But our edge will actually always keep this bias speaking very slowly when they talk to this model. Even if maybe, probably in a couple of years, maybe next year it'll not be necessary anymore.But yeah. But what's interesting is to see that yeah, even for like languages [00:16:00] like yeah, French and Spanish Germans that are not no, no resource on religion. You have a lot of audios there on still it's not as good. And I think a consequence. Because then for this, I suppose just is not as much energy, as much effort that has been put done in some other mod that for some vision or like coding.But but yeah, there's still a lot of progress to be done. I think it's just a question of doing the work and it's clear path I think to get there.Pavan: It's a little fascinating because I worked on Google Assistant I think while back at this point, but it's, I think it's, it like when you take a step back, it's fascinating.It's not that long ago. It was like four years ago or five years ago, and it's now it's completely audio in, audio out and the function calling and the whole thing happens completely end to end. And in a very natural,swyx: yeah,Pavan: natural way and still ways to go. Kim was telling, even despite all the previous, it's not like you're speaking to a person.When you talk to any of these agents, bots, or voice mode kind of situation, it's still like a gap. I think that's the great part and I feel like with even the existing [00:17:00] stack, we should be able to get to this very natural speech conversational abilities soon enough I guess.And we'll also hope. I get thatGuillaume: on this kind of the next step, right? Because when you talk to these agents, like usually people are just writing to them and sometimes they'll this very clear, for instance, you are, you want to write code, but you are, you have a very clear idea of how you want the model to implement what you in mind.But so here you are able to spend a lot of time writing. So it's not really efficient on audio is really like a natural interface that is just not there yet, but I think it's just gonna be the place.Vibhu: How's it like building, serving, inferencing, like we see a lot about, it's very easy to take LMS off the shelf, serve them.Fine tuning, deploying. I know you guys have a whole you have Ford, you have a whole stack of customizing, deploying. Is there a lag in getting that. Like distribution channel. Are you helping? There is. So like prompting, lms, you can have them be concise, verbose, all that.They're built on LM backbones, these models. How do you see all that?Enterprise Deployment and PrivacyGuillaume: Yeah, I think this is a lot of what we're doing with our own customers. Very [00:18:00] often they come to us, so it's for different reasons. I think one reason is sometimes they have this lot of privacy concerns.They have this data that it's very sensitive. They don't want data to leave. The companies, they wanted to stay. Inside the company. So we have them deploy model in-house. So either on a, either on premise or on private cloud. So they're not worried that it's given to a third party on the there some leakage.Sometimes they have this kind of many companies have this different, sensitivity of data they have like sometimes channel chat can send it to the cloud has to stay there. So then it creates some kind of heterogeneous workflows where it's annoying. You cannot send some data to the cloud.This one you can, so here, when we actually deploy the model for them, they don't have this consideration. They are like not worried that, this is going to leak. Everything is much easier. So we help them basically do this on the, so it's one of the very proposition. But but the other is very often, when customers use this off the shelf close model, but very sad is that they are not leveraging, these data that have been collecting for four years or something for decades.So much data. Sometimes it's trillions of tokens of [00:19:00] data in a very specific domain. Their domain, which is data that you'll not find in the public, on the public internet. So data on which, like close model, we actually not have access to one, which that's going to be really good. So if they're using like closed source models are basically not benefiting from all these insights.All these data they have collected three years, they can always give it into the context that in France, but is never as good as if you actually train the modern analysis. So yes, that's basically what we help them to do. We actually provide them some purchase, basically what we announced at GTC this week.So we provide them with this, it's basically like a platform with a lot of tools to actually help them process data. Trained on that. Yeah, it's actually the same thing that we're using in the science team. So it's actually very better tested infrastructure, like a lot of efficient training cut base.For a quality pre-training like a fine tuning, even doing S-F-T-I-L. So we help them do this using the same tools as what our science team is building is using. So since it's tools that we've been using for two years now, it's really better tested. It's really sophisticated.So it's the same thing. We are giving to them, giving the company the same thing [00:20:00] that what are same still using internally actually build their own ai and it makes a really big difference. I think sometimes customers. And many in general don't realize how much better the model becomes when you fine tune it on your own data.And you can have a, your model is here. You start from there. You have a cross source model, which is sort here, but if you actually fine tune it can actually really go much further than this. And then you have a very big advantage. The model is trained on your entire company knowledge, so it knows everything.You don't have to feed like 10 K tokens of contact at every query. So it's it's much easier. It's a bit, I think using a closed source model is really sad because it basically puts. You are not leveraging all this data and you are going to be using the same model as all your old competitors when you're actually using, everything you have been collected for years, which is really valuable.So yeah. So we help basically customers do this. We have a lot of solution I mean deployed for engineers that go in the company that basically look at the problem customers are facing to look at what they're struggling to do what we should do to solve it. So we help them solve them together.So it's I think our approach is a bit different, but here. [00:21:00] Some of their companies and competitors, it's, we don't just release an endpoint on sale, do some stuff on top of that, or we don't just give a checkpoint. We really look very closely with customers. We look at the issues they have, we had them solve them.We really make some tailored solution for the client are facing. Some example are also going to be, sometime we have some customers. They really wanted to have a really good model, really performance on some, like Asian languages on the, if you take some of the shelf models, they can speak it, they can write in this language, but it's not amazing.This language would be like maybe zero 1% of the mixture. So it has been included during training, but very little. So what we did here is upgrade. We trained a new model for them, but so this language was 50% of the mix, so it's much, much stronger. It knows of the dialects, it knows the, so it's yeah.So it's some example of things we can do and it's really arbitrary, custom. I think you had some of their customers, for instance, they wanted some. They wanted some 3D model that can do audio with a very good function cable. So something you wanted to put in the car in particular, they wanted this to be offline because in a car you don't necessarily have access to internet.So [00:22:00] yeah. So here we can actually build the solutions. There is no like model out of the box on this. In the internet you have this very, you have this very general model generalist, like he's strong model. But for things like this, they always want at specific solutions and on some other reasons.Sometimes they come to us is because, like they, they experiment with some closed source model. They get some prototype. They're happy with what they build. They, it works well. They're happy with the performance, and then they want to go to production and then they analyze. But it's extremely expensive.You cannot push this. It's so then they come back to us on this. They can help us build the same thing as this, but using something much cheaper on here. And here we can sometime be something 10 x cheaper by just functioning a model and it'll be better OnPrem on their old server and also much cheaper as well.So yeah,swyx: that's the drop pitch right there. Take all themoney.Vibhu: And outside of that you do, we do put open wave models so people can do this themselves. I feel like not enough people go outta their way.swyx: They're not going to, they're gonna ask them to do it as the expert. IGuillaume: think initially we didn't know, [00:23:00] we wanted completely short at the beginning of the company because, I think our study was not exactly the same as what it is today, but what we underestimated initially is the complexity of deploying this model and connecting them to everything to be sure it has access to the company knowledge on the, and it was, yeah, on, we were seeing customers struggling with this, but it was even, that was three years ago and no, things are much more complicated because now you don't just have, text on SFT on a simple instruction following.You have reasoning like your agents, you have like tools. You have a multimodal audio, so it's much more complicated than before. And even back then it was hard for customers. So they really need, have some support and this is why actually providing like always some four D position as well. The processFine Tuning and Personalizationswyx: I'm curious is there also voice fine tuning that people do?Pavan: So in this forge we also have a say unified framework. And the hope is like the er speech to text that we released earlier this year. And even the ER chart that we released last year. And I think a big people, I think there's a big, rich ecosystem [00:24:00] of people fine tuning whisper, and people want the same thing with w so it's much stronger than Whisper.And yeah, the the platform offers that kind of fine tuning yeah, which could be any kind of fine tuning. Like for instance, even sometimes people want to support new languages to this, which are tail languages, which we hope to cover. Certain natively, but if there is a language where you data and you want to frank you, I think this is a good use case.Or the other use cases, you, it's the same language, like even English but it's in a very domain specific way.swyx: Yeah. Terminology, jargon, medical stuff.Pavan: Exactly. And also there's specific acoustic conditions like there's a lot of noise or the, and. The model will do decently in most conditions, but you can always make it better.And that those are some of the use cases where you can improve it e even further. And that's one good use case for this and for text to speech. We're just releasing it so we'll have support for that soon too. I think it's similar use case.Voice Personalization Pavan: It's little different the kind of things that you want to extend a [00:25:00] text to speech model to, which could be like voice personalization, voice adaptation for enterprises.Many enterprises need very specific kind of tone, very specific kind of like personality for this kind of voice. And all of those are like good use cases for fine tuning.swyx: This one I was gonna ask you, we never talked about cloning voice clothing here. How important is it, right?Like I can clone a famous person's voice. Okay. ButPavan: the main use case would be like for enterprise personalization, like enterprises need like a lot of customization. You don't want the same. Voice for all the enterprises. Each enterprise want a customized, specialized something which is representative both their brand and also their, I guess safety considerations and the use case I think the kind of thing that you would deploy as a empathetic assistant in the context of a healthcare domain would be very different from the kind of thing that would be in a customer support bot and would be different from like more conversational aspects.I think those are the. [00:26:00] Customizations you would expect from enterprise. And that's the main use case, at least from our side.Vibhu: My, my basic example is you don't want to call to customer services and have the same exact voice. It's just, it's gonna be weird.Long-Form Speech ModelsLong-Form Speech ModelsVibhu: But also on the technical side of this, so there's like a few things in TRO that I thought were pretty interesting.He's a big fan of this paper. Oh, he said very good paper. He said this is the best SR paper he's ever read. Yeah. I've hyped up this voice paper enough. We covered it. Somewhere, but a big thing. So Whisper is known for 32nd generation a 32nd processing. You extended this to 40 minutes. There was a lot of good detail in the paper about how this was done.Even little niches of how the padding is. So it's very much needed. You need to have that padding in there, the synthetic data generation around this. I'm wondering if you can share the same about the new speech to text, right? Text to speech. So how do you. How do you generate long form, coherent?How do you generate, how do you do that? And then any gems? Is there gonna be a paper?Pavan: Yeah. Yeah. They would be a technical report. Okay. Yeah. I think I could have a lot of details.Real-Time Encoder AdvancesPavan: But me I think the [00:27:00] summary of it, actually, some of the considerations in this paper were, because we started with the wipa encoder as the starting point, and now we have in-house encoders, like the bigger time model, for instance, which we released in January.Also release a technical report for that real time model as well, which is this dual stream architecture. It's an interesting architecture. You should check it out. And there we have a causal encoder and I don't think there's any strong, multilingual causal encoder out in the community. So we thought it's a good contribution.So that's one nice encoder there. Other people want to adapt. That's a good end code. And we train it from scratch. I think her. Post stack is now mature enough that we are able to train super strong ENC codes. And some of these considerations, like spatting and stuff, is a function of the Whisper ENC code.And now that we train encoders, inhouse the design concentrations are different.Scaling Context for TTSPavan: And for the question on text to speech, I think that's also leans onto the original auto aggressive decoder backbone. I think, it says very, almost identical considerations. I think the long context in it's not even long con, [00:28:00] so the model processes audio at 12.5 herds, so one second maps to like 12.5 tokens.So I think one minute is like 7.8 tokens. You can get like up to 10 minutes in eight K context window and get half an hour and 30 K context window. So that's and 30 2K context is something that's we are very comfortable training on. We can extend it even much longer. 1 48 K. Okay. You can naturally see how it can extend to even our long generations.Yeah. We need the. Like data recipe and the whole algorithm to work coherently enough through such long context. But the techniques are some way very similar to the text, long context modeling. And the key differences, it's just doing flow matching order regressively instead of a text open prediction.swyx: Okay. I think that was most, most of the sort of voice questions that we had. ButWhat Makes a Model SmallVibhu: I have a big question on Mr. Al, Mr. Small. So what is small? How do we define [00:29:00] small? What is this? What is this? I remember the days of Misal seven B on my laptop. The snuff fitting on my laptop. I could run it on the big laptop, butGuillaume: it's just additional.Question of terminology, like here what we did, baseball is north active parameters, but it's true. Really not give it another name, but yeah, we could have called it medium, but only, I,I suppose it's a model that we released mixture of experts. It's a model that combines different model before which we were doing the same, is that we had one model, general model for Israel. Doing instruction following, were like a separate model that was Devrel trial. So qu coding specify specific to code with another model for Reason Maal.So this were separate artifacts built by different team at trial on what we're doing is basically merging all of this. It was, you had pixel trial was the first vision model. We was like a separate model on the way we do things internally is that we have one team focus on one capability, build one model.On the means mature, mature enough, we decide to merge this into the [00:30:00] matrix. But here it was the first time we basically match all of this into one. But there are some other things we did at first time to merge time, for instance, like more capabilities or function coding I think would be, are, it's going to be much, much better in this trial, small platform.But but yeah, so it's our latest model on the working is,Vibhu: and yeah, key things is it's very sparse. Six, be active pretty efficient to serve. 2 56 K context. Yeah,Merging Capabilities vs Specialistsswyx: I think what's interesting is just this general theory of developing individual capabilities in different teams and then merging them.Where is this going gonna end up?Vibhu: Like we've seen the five things put together in this. Yeah. What are the next five teams?swyx: I think actually OpenAI has gone away from the original four Oh. Vision of the Omni model. This was what they were selling. All modalities and all modalities out.But I feel like you might do it.Guillaume: I think there's some mod where it's not competitive use, for instance for audio. For audio here, if you want to do transcription, I think it makes no sense to use a model. If you just want to trans tech it, it'll be very inefficient. If you want to do audio, you probably just want to be the [00:31:00] one VR 3D model performance essentiallyswyx: the same.It's going to be incredibly cheaper. So here, that's why we wantGuillaume: to have a separate but just does this. Yeah, I think the question is just, yeah. If you are to, to your model. By speech and you asking like a very complex questions on how you do this on the, just to cascade things. Do you want to put a d in a model that has like a one key around it?It's like a, not a competitive discussion, I think unaware if you doing into the direction, but that's possible. Of course. But yeah. But I think for us, the next capabilities we want to try to integrate into these models when we are going to be yes, like marketing or no reasoning better, I think more capabilities that people don't talk too much about, but at high bottom, I think for our customers in our, on different industries, for instance, things are around like a legal computer.I design all these things that is this males out of the box are to put at that. Because people, if you don't prioritize this, there is not like too benchmark on that. Butswyx: this done how toGuillaume: make this good and this just start to do the work. Extracting some that processing it [00:32:00] expression. So yeah.But we are offering the imagine to this.swyx: I think for voice. Yeah. The key thing I think over maybe like the last year or so with VO and gr Imagine and all these things is joining voice with video, right? Which people don't understand spatial audio because like most TTS is just oh, I'm speaking to a microphone in perfect studio quality.But when you have video, like the voice moves around.Pavan: That's true. The constitution was a little different in the sense that there it's like a a standalone artifact where you get the whole thing and you consume it. But in a conversational setting, it's a, you need the extreme low latency.swyx: Yeah,Pavan: streaming would be one of the primary concentrations.swyx: You can build a giant company just doing that, right? So you don't need to do the voice, but I was just know on the theme of merging modalities, that is something I, I am like, wow. Like I didn't, everyone up till, let's say mid last year was just doing these like pipelines of okay, we'll stitch a TTS model with a voice thing and a lip sync [00:33:00] thing and what have you.Nope. Just giant model. Yeah.Open Source MissionVibhu: I have a two part question. So one is, it's still open. It seems like open source is still very core to what you guys do and I just have to plug your paper. Jan 2024. This is the one trial of experts like. Very fundamental research on how to do good.Moes paper comes out very good paper for anyone. That's just side tangent. No.swyx: This thing caused, we bring back, eight by 22 was like the nuclear bomb for open source. I think it takes Shouldn be more seven B more. Yeah. Yeah. But this is a bigger opposite than me.Yeah. Yeah I don't remember this. I remember, I don't think it was January, right? It was like new reps it was, it dropped during new reps and everyone in Europes was December of 25th, I think. Yeah. The model was did as well.Vibhu: It's just a little update probably.swyx: Yeah. No, but you have a point to make.Vibhu: No, you gotta check that. But then, I just want to hear more broadly on open source for you guys, and when you had asked earlier [00:34:00] about what's next, what are the other, side tapes working on you. You put out Lean straw. This,swyx: it's not necessarily surprise. I was like, I don't, this doesn't fit my mental model or Misra.Guillaume: Yeah. First for open source in general, I think it's really something which looks to the January of the company. I think we started it per once, is we so we have open sourcing with, since the beginning and even before this. So before this, so me and Tim were at Meta, we released LA and I think what was really nice.To see that before this, for most researchers like universities, it was impossible to work on elements. There was no alien outside. And if you look at many of the techniques that were developed after, for instance, was open source all this post-training approaches like even DPOD, like preference optimization, all of this were done by people that had access to this portal.And it'll have been impossible to do without this. So it's really making sense, move faster. So we really want to contribute to this ecosystem. I think like the deep and also like very lot of impact. All these papers that are I think in the open source community are really helping the science community as a whole to move faster.So [00:35:00] we want contribute to this ecosystem. That's why we're releasing very detailed technical reports. So ma trial and our first reason model, and ation, lot of results, things that work, things that did not work as well. Think helpful on the, yeah, so for the audio model also to share a lot of details, share of them for real time model.And the, yeah, so we really want to continue this, basically belong to this community of people who share science. I think we really don't want to be, leading in a world where the smartest model, the best models are only behind, close doors. Only accessible to a shoe companies that we, as a power to decide we can use them on it.I think it's a scary future. We don't want to live in, we really want this model to be accessible to anyone that want. Intelligence to be used unaccessible by anyone who can use it. So yeah, so that's why we are pushing this mission and source model. Yeah. So not, so yeah, no strategy. So it's open source, not the first model, so not the best on the Yeah.Lean and Formal ProofsGuillaume: LIN trial I think is also one step into this direction. So it's yeah, a bit different than what we are usually releasing. But we have a small team internally [00:36:00] working on them. Formal proofing, formal math. So I think a subject we care about in general and we were working on reasoning. I think we started too early before doing reasoning without LMD is very hard, especially when you work with formal systems because the amount of data you have is negligible.It's addressable community of people writing like formal proofs. But the reason why we like it is because I think there is if you look at what people are doing with reasoning, is there, the problems that you can use. Are usually going to be problems where you can verify the output. So for instance, all this ai ME problem where the solution is a number between 100, like a thousand.So you can verify, compare this with a reference or it's an expression. You can actually compare the output expression generic with the reference. But there are many, most of them have problem and most of the reason problem. There is no like way to easily verify the solution. If the question is show that F is continuous, cannot compare in the reference, right?If it's a probe that this is true or probes is properties, there is no way to. You cannot act, simply verify the correctness of your proof. So it's hard to apply the, there is no referable reward here. So [00:37:00] what you could provide is of course, like a judge and judge that will look at your proof. But it's very hard and it's very, you could do certain, some reward hacking happening there.So it's difficult. You could provide like a reference proof, but then there are also many ways to prove the same thing. So if the model says give negative reward because it's a different poop, maybe it was still digit proof, just different. So it's not going to work well. What's nice with lean and with formal probing is that you don't have to worry about this whatsoever.We just,swyx: they're all function is largely compiles in lean is functionally the same. Exactly.Guillaume: It's like a problem if it compiles it's correct. It's very easy. And you can apply this and then you can,swyx: it's just way too small. So no human will actually go and do it.Guillaume: Yeah, that's exactly.It's the only people can do it. It's like a very small committee of people doing a PhD on that. So it's super small. And it's sad because it's actually very useful on not just mat, but also in software verification. So for instance, software verification today. So tiny market. Very few industries work on this and we need that.It's usually going to be like companies like building airplanes, air robotics,swyx: likeGuillaume: things [00:38:00] where they absolutely want to be sure. Life depend on this, but it's very rare that people formally verify the correctness of their software. But I think one of the reasons for this is simply that it's just hard to do.swyx: Are you think of TLA plus? It's the language that some people do for software verification? No. That people use in a ference, but but yeah, it's the reason I think why people don't use it more and why this industry is not as big as could be is because it's very hard. But now with cutting edges that are there, it's going to be very different.Guillaume: We're going to see much more of this. So I think yes, industry there is going to be much larger in the future that we, these models. So yeah. Here also anticipating this a little bit, we wanted to work on that because it's proving like a math theory and like a, essentially the same tools.swyx: Yeah.Reasoning Transfer and Agentsswyx: One of my theories is that because the proofs takes so long, it's actually just a proxy for long horizon reasoning and coherence and planning. Maybe a lot of people will say okay, it's for people who like math. It's for being okay. It's like a niche math language. Who cares? But actually, and you use this as part of your data mixture for [00:39:00] post-training and reasoning, actually, it might spike everywhere else.Yeah. And I think that's un under explored or no one's like really put out a definitive paper on how this generalizes.Guillaume: Yeah, absolutely. AndPavan: I think evenGuillaume: that's what we're seeing already. For instance, you should do some reasoning on math as then the American should do reason even.Yeah. In the early stage. So we, the, there is some transfer, some sort of emergence that happens. And I think some, it's also interesting, it's not just I think the topic in general, but it's, there is a lot of connection with this on including agents because. Sometimes the model can see like a three that it has to prove it's very complex, but then it can take the initiative to say, I'm going to prove this three lr.I'm going to suggest three Rs, and I'm going to in parallel prove each R. So three of them in parallel with sub agents, but I'm also going to prove them in theory and the three tool so you can do this also. Pretty interesting. You can, even if you fail to put one of the LeMar, you can actually, maybe you succeed to put the normal lema too, so you get some possible reward here.So it's a bit less Spartan issue, just get to zero one for the entire thing. [00:40:00] So it's pretty interesting. I think we can actually,Vibhu: yeah, it's also an interesting case just for specialized models in general, right? Like the cost thing you show is pretty interesting yeah, similar score wise, you are, thirty, seventy, a hundred fifty, three hundred bucks.Smaller.swyx: I think cost is a bit unfair, right? ‘cause this one is at like inference cost. It's always there on top with their margins on top of it. But, we don't know anything else, so we gotta figure it out.Vibhu: Okay.Next Frontiers in TrainingVibhu: I did wanna actually push on that more. Not on cost, but you mentioned about, okay, it's a great way to have verifiable long context reasoning.What are other frontiers that, I'm sure you guys are working on internally, there's a lot of push of people pushing back on pre-training. Scaling, RL pushing, compute towards having more than half of your training budget. All on rl. Where are you guys seeing the frontier of research in that?Guillaume: You mean theVibhu: just in foundation model training in the next, one thing that you guys do actually is you do fundamental research from the ground up, right? So you probably have a really good look at where you can [00:41:00] forecast this out.Guillaume: Yeah. I think for us we're still working a lot on the pre-training side.I think we are very far from situational, the pre-training. I think ML four preprinting will be like big step compared to everything we have done before. So we are pretty excited about this. And I think on the other side, I think now we have more and more to think about this algorithm that will actually support this very long trajectories.I think when it was, for instance, GRPO for it doesn't really work this any bit of policy. Which was okay initially because you are solving math problem that can be solved in like a few thousand tokens. So the model can alize them pretty quickly. So when you do your update, the model is never too far off.It's never too far off. But now when you are moving towards this kind of problems where certain takes hours, like six hours to get a reward, then your model is co pick places. So you have bi new infrastructure that supports this, but also new A, so now everything we're doing internally, we're trying to. Build some infra that we actually anticipate is what we have in six months, one now, which is this extremely no scenarios on the, I think when we started Missal, part of me and [00:42:00] we wanted to, is very nice under element where people are there, they can do research, they like with a lot of resources.So it was nice. I think things changed a lot when I think when J Pity came out. I think after that I think was. This one is same again. But but yeah, but it was nice. And I think we also want to work part of this descrip beforeswyx: coming to the end.Hiring and Team Footprintswyx: We're just, obviously, I think you guys are doing incredible work.You've, they are a very impressive vision for open source and for voice. What are you hiring for? What's the what are you looking for that you are trying to join the company?Guillaume: Yeah, so we are hiring a lot of people in our sense team. We're hiring, in all our offices. So we have a, our H two is in France in Paris.We have a small team in London. We like a team in Pato as well. Co we open some offices in in SAU, in Poland. So one in Zurich. We also like some presence in New York as well on Sooner one in San Francisco. So we all bit either way also like hiring remotely. So we're going the team trying to hire like very strong people.I think we want to stay, so the team is not. Instead of fairly small team. [00:43:00] But I think we want to keep it that way. ‘Cause we we find it quite efficient. So like a small team they agile so yeah.swyx: Okay.AI for Science Partnershipsswyx: Let's focus on science and the forward deployed. We actually are strong believers in science.We started the our new science pod that focuses specifically on the air for science. What areas do you think are the most promis.Guillaume: What we're pretty excited about right now, and something we have already started doing or that we'd probably be able to share more about this in a couple of months, is that we are exploring AI for science.And there are a lot of areas where we think that you could get some extremely promising buzz. If you were to apply AI in these domains. There are a lot of long inputs. You just have to find these domains where actually AI has not been yet applied, and it's usually hard to do because the people working in those domains don't necessarily know the capability of these models.They don't know. How I would just have to pair them with Yeah, exactly. Your researcher slashing, which is actually hard to do. But this matching, we're doing it naturally with our customers. So we have some company we are very closely with. So for instance, ISM Andreesen are one of our partners, so we're doing some research with them on their other, like tons of extremely interesting problems.Columns in physics, in [00:44:00] science matter science that they're essentially the only ones to work on. ‘cause they're doing something No, no one else is doing on the, yeah. So there are many domains where AI can actually revolutionize things. Just you have to think about it on you familiar with what can do or to apply it.So yeah, it's something where more modeling with our partners, with our customers sort AI for s, but.swyx: Yeah. Okay.Forward Deployed Skillsswyx: And then for deployed what it makes a good four deployed engineer, what do they need? Where do people fail?Guillaume: I think it's usually you need people that are very familiar with the tech and not necessarily with a lot of research expertise, but that are actually pretty good at using this model that can actually like that know how to do functioning, that know how to like, start some error pipeline.And it's it's not easy. It's something that mucus. Majority of companies will not be able to do this on their own. So here I think we need people that are, that like to solve problems that are accept solving some complex, very concrete problem. It's applied science basically.And yeah, so I think it's not too different. I think from the case you need in research because it's essentially you are trying to find solutions to problems that in [00:45:00] customers have not yet. So sometimes it's easy. Sometimes you're here to do the work. You have to like create synthetic data.Find some edge case. So it can be, yeah. Depends on the problem. But but yeah, you have to, I think it also a bit of patience on the be creative. I think very similar skill is Asian,Pavan: the diversity of the work they do. It always surprises me. It's it's, it goes all the way from the kind of stuff they encounter in industries.It's just very interesting. I think.swyx: Any fun like success anecdotes.Guillaume: Yeah, it can be actually training this small model on edge that just we do one specific thing can be like training some very large model without some specific languages as well. Making models really good at some tube use, like for instance, computer ID design, these kind of things.Is that pairing with vision as well? Yeah,Pavan: and the fact detection for chips or like in, in factories identifying things like it, the. Diversity could be anything where you can deploy these foundation models. So yeah the work to make it work in that specific setting, basically whatever it takes to make it like add value in that, by the way, workflow.Vibhu: Yeah. [00:46:00] And it goes across the stack, right? Like even just pulling up the website like.swyx: It's so broad on compute. It is so broad.Vibhu: We didn't even touch on if you have a coding CLI tool. One thing you guys were actually like, I think the first tool was agents, ral agents. You had the agent builder, you can serve it via API and all that.And I'm guessing forward deploy people.Guillaume: Yeah.Vibhu: Help build that out and stuff.Customer Feedback LoopGuillaume: It is also why we are, so we're doing many things, but I think that's also part of the value proposition that sometime know customers. They're always very. Extremely careful about their data and they don't want to, they don't like, trusting so many partners, trusting one partner for code, giving the data to another third party for like audios and another one.So they don't like this here. What they really like with our approach that we can help them on anything so they don't have to send the data to so many clouds. So yeah,swyx: I think that there can be many orders of magnitude more. F Ds then research scientists and they don't need your full experience, but they're still super variable to customersGuillaume: in practice.These two teams [00:47:00] are still quite intertwine, very often. Yeah. So first of all, they're using the same tools, the same data pipeline and everything on the, it's it's very helpful for the science team to get the feedback and the solution team ‘cause they can. Look at these customers are trying to do this.This is not working. It can really be show in the next version. Yeah. But this is basically a real world eval. Yeah, it's real world eval and it's not something, for instance, if you're just working in the lab, it's just ships model. But you don't do this work of for customers. You have no idea for whether your model is good at this H case.For instance, you even in year found this, right? So yeah, there is a very gap, big gap between the public benchmarks that are very like academic. OnPavan: the rare cases are just very diverse and in the specific concept of a customer, you can fine tune and make it like first evaluate, create a solid eval, benchmark, and then measure in the context of their, the kind of audio.Like for instance, one use case is literally just, there's the word for kids and they have to just say it out. It's a very specific thing. You're just saying one word and then you have to you, you'll grade the kid whether they did it right or not. It's [00:48:00] like R for, but so there're very diverse use cases and the idea is that they, the.Applied scientist engineer will go and make it better. And then from the learnings we incorporate it into the base model itself. So it's it's just better out of the box.Vibhu: Yeah. It's a good full circle system. Like the foundation model evals are all just proxies of what you really, you're never gonna have one that says it, it doesn't make sense for there to be, a one word transcription like that.It's not something you wanna fit on. Perfect.Wrap Up and Thanksswyx: Everyone should go check out everything that Michelle has to offer and try the TTS model, which will link in the show notes. But thank you so much for coming tha thanks. Such a stretch. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.latent.space/subscribe

This is a revival of our classic Rant, Rave, and Ramble show. Episode 433 features a lively discussion on consistency in training, the pros and cons of social media influencers, and TLA viewpoints on Anti-aging Exercise. Enjoy. This podcast is brought to you by The Lifetime Athlete App. Available on the App Store and Google Play. It's the ultimate fitness…

AI is changing the way we all build software — that much seems clear. But the landscape is moving so fast that even the people paid to keep up are struggling. MCP or skills? Fine-tune or just prompt? LangChain or let a thousand agents loose? With almost 70 competing technologies and a shelf life of maybe six months on any advice, how do you figure out what's actually worth your time?Henry Garner is CTO of JUXT, a consultancy with about 150 senior engineers working at the coalface of AI-assisted development, including building AI platforms for tier-one banks. JUXT publishes a quarterly AI Radar — 68 technologies rated and reviewed — and Henry's been watching his own team go through the full adoption arc, from "spicy autocomplete" skepticism through to building Byzantine-fault-tolerant distributed systems over a weekend with Claude. Along the way we cover MCP vs skills, Conway's Law for LLMs, neurosymbolic AI and the unexpected return of Prolog, the "Ralph Wiggum loop" for getting agents to converge on correct implementations, and Allium — a new behavioral specification language Henry's co-authored that sits between human prose and TLA+, aiming to give LLMs just enough structure to pin down what a system should do without falling into waterfall thinking.If you're trying to make sense of the AI tooling landscape, or you've hit that wall where your agents keep drifting away from what you actually wanted, Henry's thesis — velocity through clarity of intent — might well help out yours.--Support Developer Voices on Patreon: https://patreon.com/DeveloperVoicesSupport Developer Voices on YouTube: https://www.youtube.com/@DeveloperVoices/joinJUXT: https://www.juxt.pro/JUXT AI Radar: https://www.juxt.pro/ai-radar/Allium on GitHub: https://github.com/juxt/alliumAllium Documentation: https://juxt.github.io/allium/Composition at a Distance (Henry's blog post): https://www.juxt.pro/blog/composition-at-a-distance/A New Vocabulary for an Old Problem (Henry's blog post): https://www.juxt.pro/blog/new-vocabulary-for-an-old-problem/Model Context Protocol (MCP): https://modelcontextprotocol.io/LangChain: https://www.langchain.com/LangGraph: https://www.langchain.com/langgraphGas Town (Steve Yegge): https://github.com/steveyegge/gastownKiro (spec-driven AI IDE): https://kiro.dev/Phoenix (LLM observability): https://github.com/Arize-ai/phoenixTemporal: https://temporal.io/Taalas (LLM-on-a-chip): https://taalas.com/Kris on Bluesky: https://bsky.app/profile/krisajenkins.bsky.socialKris on Mastodon: http://mastodon.social/@krisajenkinsKris on LinkedIn: https://www.linkedin.com/in/krisjenkins/

Nathan and Stef continue the conversation about the Curriculum Teaching and Training section of the revised Ofsted Education Inspection Framework - focusing in on the importance of identifying gaps in knowledge, initial assessment, assessment for learning and the importance of what to do with that information. We discuss the importance of space and time to develop teaching practice and think about TLA critically, as well as how evidenced based practices can be simply applied to enhance and maximise learning. We hope you enjoy :)Send feedback, comments and questions - we would love to hear from you - either directly in the podcast platform or get in touch on stef@cultureofexcellence.co.uk20th March - 12.30pm online National Quality Network gathering7th May - National Quality Network meet up at Milton Keynes College

ABOUT THIS EPISODE: In this episode, host Megan Cole talks to Chris Labonte. Chris is the president and publisher of Figure 1 Publishing. Figure 1 was the publisher of Curve!: Women Carvers on the Northwest Coast, which one the 2025 Bill Duthie Booksellers' Choice Award. In their conversation, Chris talks about what first drew him to working in publishing, and he talks about what could help BC book publishers stand up to multinational publishers. For more about Curve!: https://bcyukonbookprizes.com/project/curve-women-carvers-on-the-northwest-coast/ To view the 2025 BC and Yukon Book Prizes shortlists: bcyukonbookprizes.com/2025/04/10/bc-…sts-announced/ ABOUT CHRIS LABONTE: Chris shapes the Figure 1 publishing program, collaborating with our authors and partners to produce books of the highest quality. He has worked in the book industry for nearly twenty years, in roles including writer, bookseller, acquiring editor, and publisher. He spends far too much time following the Whitecaps, weeding his vegetable garden, and figuring out which of his kids has his iPad. ABOUT MEGAN COLE: Megan Cole is the Executive Director for the BC and Yukon Book Prizes. She is also a writer based on the territory of the Tla'amin Nation. Megan writes creative nonfiction and has had essays published in Chatelaine, This Magazine, The Puritan, Untethered, and more. She has her MFA in creative nonfiction from the University of King's College and is working her first book. Find out more about Megan at megancolewriter.com ABOUT THE PODCAST: Writing the Coast is recorded and produced on the traditional territory of the Tla'amin Nation. As a settler on these lands, Megan Cole finds opportunities to learn and listen to the stories from those whose land was stolen. Writing the Coast is a recorded series of conversations, readings, and insights into the work of the writers, illustrators, and creators whose books are nominated for the annual BC and Yukon Book Prizes. We'll also check in on people in the writing community who are supporting books, writers and readers every day. The podcast is produced and hosted by Megan Cole.

Lo tenía todo planeado a la perfección. Se casaría con su amada labradora, que por cierto era bastante robusta, y la criatura que tendrían moriría poco después de nacer. Ante eso su mujer no tendría más remedio que meterse a nodriza, y él, porro y haragán que era, se daría la gran vida. Pero sucedió todo lo contrario: se casó, tuvo gemelos, y su pobre esposa falleció de sobreparto. Ante eso le tocó trabajar más que nunca, hasta la fatiga, para tener con qué alimentar a los gemelos, pues ellos comían como elefantes. De ahí la frase festiva: «salirle a uno las cuentas del cardador». En el cardador de ese cuento se cumple la sentencia, convertida luego en refrán: «El hombre propone y Dios dispone», que se le ha acreditado al respetado autor Tomás de Kempis porque la emplea en su conocida obra titulada Imitación de Cristo.1 Sin embargo, es importante resaltar que Tomás de Kempis no hizo más que poner en circulación la sentencia, pues lo cierto es que tiene otro autor. Aparece en el libro de los Proverbios como uno de los proverbios del sabio Salomón, traducido en la versión de la Biblia llamada Traducción en Lenguaje Actual tal y como reza el refrán: «El hombre propone y Dios dispone.»2 Más adelante Salomón lo recalca con el siguiente proverbio: «El hombre planea su futuro, pero Dios le marca el rumbo.»3 No hay duda de que a menudo en la vida las cosas nos salen al revés o muy diferentes de como las planeamos. Siendo así, ¿por qué será que tenemos la tendencia a proceder como si pensáramos que el futuro está en nuestras manos? Parece que es precisamente esa preocupación la que motiva al apóstol Santiago a llamarles la atención a los que hacen alarde sobre el mañana. Les encara su presunción, sin rodeos, en los siguientes términos: «Escúchenme, ustedes, los que dicen: “Hoy o mañana iremos a la ciudad; allí nos quedaremos todo un año, y haremos buenos negocios y ganaremos mucho dinero.” ¿Cómo pueden hablar así, cuando ni siquiera saben lo que les va a suceder mañana? Su vida es como la niebla: aparece por un poco de tiempo, y luego desaparece. Más bien, deberían decir: “Si Dios quiere, viviremos y haremos esto o aquello.” Sin embargo, a ustedes les gusta hablar con orgullo, como si fueran dueños del futuro, y eso es muy malo.»4 Más vale que sigamos ese consejo. Cuando hagamos planes o concibamos un proyecto, no nos engañemos presumiendo de que lo que nosotros queremos que suceda tiene que suceder. Digamos de corazón, y no de labios nada más: «Si Dios quiere.» Pues de hacerlo así, en vez de salirnos las cuentas del cardador, se cumplirá en nuestra vida un proverbio más del sabio Salomón: «Deja en manos de Dios todo lo que haces, y tus proyectos se harán realidad.»5 Carlos ReyUn Mensaje a la Concienciawww.conciencia.net 1 Luis Junceda, Del dicho al hecho (Barcelona: Ediciones Obelisco, 1991), p. 212. 2 Pr 16:1 (TLA) 3 Pr 16:9 (TLA) 4 Stg 4:13‑16 (TLA) 5 Pr 16:3 (TLA)

ABOUT THIS EPISODE: In this episode, host Megan Cole talks to Laurel Dykstra. Laurel's book, Wildlife Congregations: A Priest's Year of Gaggles, Colonies and Murders by the Salish Sea, was a finalist for the 2025 Roderick Haig-Brown Regional Prize. In their conversation, how they started the project that inspired the book. Laurel also talks about inter-species loneliness, and that community and activism can hold us up during times of climate crisis. For more about Wildlife Congregations: https://bcyukonbookprizes.com/project/wildlife-congregations-a-priests-year-of-gaggles-colonies-and-murders-by-the-salish-sea/ To view the 2025 BC and Yukon Book Prizes shortlists: bcyukonbookprizes.com/2025/04/10/bc-…sts-announced/ ABOUT GREGOR CRAIGIE: Laurel Dykstra is an Anglican priest, environmental activist, and amateur naturalist who lives in the lower Fraser watershed on Coast Salish territory with a haphazard queer family and a cat who looks like bad taxidermy. Laurel leads Salal + Cedar, a tiny church that worships outdoors. Writing from Laurel includes books, articles, and anthologies mostly at the intersection of Bible and social action with occasional helpings of parenting and racial justice. ABOUT MEGAN COLE: Megan Cole is the Executive Director for the BC and Yukon Book Prizes. She is also a writer based on the territory of the Tla'amin Nation. Megan writes creative nonfiction and has had essays published in Chatelaine, This Magazine, The Puritan, Untethered, and more. She has her MFA in creative nonfiction from the University of King's College and is working her first book. Find out more about Megan at megancolewriter.com ABOUT THE PODCAST: Writing the Coast is recorded and produced on the traditional territory of the Tla'amin Nation. As a settler on these lands, Megan Cole finds opportunities to learn and listen to the stories from those whose land was stolen. Writing the Coast is a recorded series of conversations, readings, and insights into the work of the writers, illustrators, and creators whose books are nominated for the annual BC and Yukon Book Prizes. We'll also check in on people in the writing community who are supporting books, writers and readers every day. The podcast is produced and hosted by Megan Cole.

ABOUT THIS EPISODE: In this episode, host Megan Cole talks to Janice Lynn Mather. Janice's book Uncertain Kin was a finalist for the 2023 Ethel Wilson Fiction Prize. In their conversation, Janice talks about her love of short fiction, food, and folk lore. Visit BC and Yukon Book Prizes: https://bcyukonbookprizes.com/ About UNCERTAIN KIN: https://bcyukonbookprizes.com/project/uncertain-kin/ ABOUT JANICE LYNN MATHER: Janice Lynn Mather is the author of two acclaimed novels for young adults: Learning to Breathe, which was a finalist for the Governor General's Literary Award, and Facing the Sun, which won the Amy Mathers Teen Book Award. She lives in Vancouver. Uncertain Kin is her adult debut. ABOUT MEGAN COLE: Megan Cole is the Executive Director for the BC and Yukon Book Prizes. She is also a writer based on the territory of the Tla'amin Nation. Megan writes creative nonfiction and has had essays published in Chatelaine, This Magazine, The Puritan, Untethered, and more. She has her MFA in creative nonfiction from the University of King's College and is working her first book. Find out more about Megan at megancolewriter.com ABOUT THE PODCAST: Writing the Coast is recorded and produced on the territory of the Tla'amin Nation. As a settler on these lands, Megan Cole finds opportunities to learn and listen to the stories from those whose land was stolen. Writing the Coast is a recorded series of conversations, readings, and insights into the work of the writers, illustrators, and creators whose books are nominated for the annual BC and Yukon Book Prizes. We'll also check in on people in the writing community who are supporting books, writers and readers every day. The podcast is produced and hosted by Megan Cole.

En este mensaje tratamos el caso de un hombre que «descargó su conciencia» de manera anónima en nuestro sitio www.conciencia.net y nos autorizó a que lo citáramos, como sigue: «Somos una familia de cinco hermanos y mi padre y mi madre. Ella ha sido una buena madre.... Hace como mes y medio, mi padre empezó a beber licor. Como consecuencia, lo golpearon y casi lo matan, y ahora tiene mucha ira. Maltrata a mi mamá y dice que nosotros, como hijos, no servimos. »Nosotros hemos pagado deudas contraídas por mi padre, y siempre le hemos ayudado.... Durante nuestra niñez, nos maltrató.... ¿Está mal si, cuando él maltrata a mi mamá, le decimos que lo que hace está mal? ... ¿Qué nos dice la Biblia respecto a honrar a los padres?» Este es el consejo que le dio mi esposa: «Estimado amigo: »¡Cuánto sentimos la manera como su padre los ha estado maltratando a usted, a su mamá y a sus hermanos, tanto ahora como cuando usted era niño! Todos ustedes han sido víctimas de su padre a pesar de haberlo tratado bien a él y de haberse esforzado por honrarlo. »Siempre es difícil saber cómo proceder cuando hay más de una enseñanza bíblica que pudiera aplicarse a determinada situación. Usted quiere saber lo que dice la Biblia acerca de honrar a nuestros padres. Uno de los Diez Mandamientos que Dios le dio a Moisés nos ordena que honremos a padre y madre,1 pero el honrar a su padre no quiere decir que usted tiene que estar de acuerdo con sus palabras o sus acciones, o que usted debe permitir que él los maltrate a usted y a su mamá. Ni quiere decir que usted tiene que aprobar las decisiones de su padre o proporcionarle dinero para librarlo de las consecuencias naturales de sus acciones. »Otra enseñanza bíblica que se aplica a su situación la dio el apóstol Pablo. Él enseñó que “el amor debe hacernos decir siempre la verdad, para que en todo lo que hagamos nos parezcamos cada vez más a Cristo, que es quien gobierna la iglesia”.2 Con eso San Pablo estaba diciendo que la manera de llegar a ser más como Jesucristo es seguir su ejemplo de decir la verdad con amor. Por lo tanto, nuestra respuesta a su primera pregunta es sí, usted debe, con todo respeto, decirle a su padre que lo que él está haciendo está mal. Por supuesto, él no lo va a aceptar ni lo va a admitir, pero no deje que eso impida que usted le diga la verdad con amor. »Sin embargo, si su padre está maltratando a su mamá, entonces lo correcto también es que usted la proteja a ella físicamente de ese maltrato. Recuerde que el amor nunca protege el pecado; protege más bien a las personas. Así que usted debe proteger a su mamá con amor, aunque su padre no esté de acuerdo y esté enojado con todos ustedes. Es probable que él diga todo tipo de cosas malas que se le ocurran a fin de manipularlos y de justificar su propio comportamiento. Pero recuerde que Dios está de parte de ustedes y que, según el salmista David, “El Señor es un refugio para los oprimidos, un lugar seguro en tiempos difíciles”.3» Con eso termina lo que recomienda Linda, mi esposa. Este caso y este consejo pueden leerse e imprimirse si se pulsa la pestaña en www.conciencia.net que dice: «Casos», y luego se busca el Caso 883. Carlos ReyUn Mensaje a la Concienciawww.conciencia.net 1 Éx 20:12 2 Ef 4:15 (TLA) 3 Sal 9:9 (NTV)

Stef and Nathan dive into the revised Ofsted framework... we decided to start with the Curriculum Teaching and Training chapter, as we think its where the fundamental TLA practice sits. Its meaty and there is a lot to it, and so there will be a part 2 to this chapter as there is lots to think about.

Job 8:5-7 “Si tú de mañana buscares a Dios, Y rogares al Todopoderoso 6 Si fueres limpio y recto, ciertamente luego se despertará por ti, y hará próspera la morada de tu justicia. 7 Y aunque tu principio haya sido pequeño, Tu postrer estado será muy grande”.Todos queremos la fórmula mágica para no equivocarnos al elegir o tomar una decisión. Pero la Biblia nos enseña algo más profundo: La bendición no está solo en el momento de la toma de decisiones, sino en la constancia después de tomar la decisión. Hay gente que toma la decisión correcta, pero la descuida en el camino. Antes de entrar en el tema quiero que miremos el Salmo 37:5 ya que no solo nos dice como tomar buenas decisiones, sino que, al tomar decisiones nos enseña a quién debemos entregarle el control de lo que sigue. La Palabra dice “Encomienda a Jehová tu camino, y confía en él; y él hará”Para entender cómo decidir, debemos ir a la raíz. En la versión RVR 60 dice: "Encomienda a Jehová tu camino…".La palabra hebrea para "Encomienda" es Gôlal, que literalmente significa rodar.Imaginen a un viajero en el desierto cargando un bulto que ya no lo deja caminar. El peso es tanto que sus rodillas flaquean. El viajero no tira la carga al suelo para que se pierda; lo que hace es inclinarse y dejar que el peso ruede hacia la espalda de alguien mucho más fuerte que él. Eso es encomendar una decisión: No es solo elegir y ya, es entender que tú no puedes cargar con todas las consecuencias solo. Es agacharse con humildad y dejar que Dios tome el peso de lo que tú decidiste, para que seas libre de caminar sin que esa decisión te aplaste.Encomendar no es avisarle a Dios lo que vas a hacer. Es transferirle el peso. Es descargar el peso de la decisión en Él. Si tú "ruedas" tu camino sobre el Señor, ya no eres tú quien sostiene la carga; es Él.El “Rodar la carga” elimina la culpa de "sentir el peso". es normal estar cansados, pero el error más grande que cometemos, es retener el peso en lugar de transferirlo."Muchos le informan a Dios sus planes, pero pocos le entregan sus cargas. La diferencia entre una decisión que te agota y una que te bendice es quién la está cargando.Cuando el Salmo 37:5 dice 'Encomienda', te está dando permiso de soltar. Si tú ya 'rodaste' tu camino sobre el Señor, descansa. Ya no eres tú quien sostiene el peso; es Él. Y si Él lo sostiene, Él lo hace." Por esta razón el Salmo 37:5 dice "Encomienda a Jehová tu camino, Y confía en él; y él hará."Quiero mostrarte bíblicamente algunos personajes bíblicos que supieron "rodar" su carga hacia Dios:Ana: De la amargura a la paz (1 Samuel 1)Ana tenía una carga emocional pesadísima: la esterilidad y la burla de su rival. Ella no solo fue al templo a "informarle" a Dios su problema; ella rodó su dolor.El momento del "rodaje": Dice la Biblia que derramó su alma delante de Jehová.El resultado: "Y se fue la mujer por su camino, y comió, y no estuvo más triste" (1 Samuel 1:18).Ella dejó la carga en el altar y se levantó ligera. Ya no era su problema, era de Dios.Ezequías: El rey que "extendió" la carta (2 Reyes 19)Imagina recibir una carta de un ejército enemigo diciéndote que te van a destruir. Esa era la carga de Ezequías.El momento del "rodaje": Ezequías tomó la carta, subió al templo y la extendió delante de Jehová. Literalmente le puso el problema en el escritorio a Dios.El resultado: Dios envió un mensaje diciendo: "Por cuanto me rogaste... yo he oído".Él no se puso a administrar la guerra solo; transfirió la amenaza al Capitán de huestes, Jehová de los Ejércitos es su nombre.Josafat: "No sabemos qué hacer" (2 Crónicas 20)Josafat tenía una gran multitud en contra y no sabía qué decisión tomar.El momento del "rodaje": Hizo una oración pública diciendo: "¡oh Dios nuestro! ¿no los juzgarás tú? Porque en nosotros no hay fuerza contra tan grande multitud... y no sabemos qué hacer, y a ti volvemos nuestros ojos" (2 Crónicas 20:12).El resultado: Dios les dijo que Él iba a pelear por ellos.Admitir que no sabes qué hacer es el primer paso para dejar que la carga ruede hacia el que sí sabe.Nuestro mundo cada vez está más conectado: tiene Google, inteligencia artificial, libros, tecnología, podcasts, YouTube entre otros, pero aunque sobran herramientas, veo que la gente sigue con confusiones y tomando decisiones incorrectas.Todo lo que decidimos tiene un precio, y quien paga ese precio eres tu. Cada decisión tiene una consecuencia específica. ¿Cómo estás decidiendo? ¿En ligereza, aceleramiento o emoción? Hay resultados que no son ataques del diablo, sino malas decisiones. No confunda una mala decisión con un ataque espiritual. Si firmó mal, si se unió a la persona incorrecta o hizo una amistad indebida, eso traerá resultados.Ahora bien, no es que existan métodos para tomar decisiones, pero la Biblia muestra la manera de tomar buenas decisiones con sabiduría, voy a tomar el Salmo 37:5 pero ahora en la versión (TLA)Ponga todo en las manos de DiosSalmos 37:5 TLA dice: “Pon tu vida en sus manos...” Esto es demasiado profundo como para leerlo de forma ligera. En el hebreo traduce así: "Rueda tu camino sobre el Señor" significa descargar todo tu peso en Él.Hay decisiones que pesan mucho para que tú las tomes solo, entre más grande es la decisión, más tienes que orar. La oración no es un acto mecánico; es un diálogo. No se meta al cuarto a hablar solo y luego se levanta y se va; espere que Dios vaya guiando su vida, Él hablará al corazón, a la mente, a través de una persona, de la Palabra, de una predicación, o de la naturaleza misma. En el libro de Job 8:5-7 nos muestra la manera correcta de buscar a Dios en oración:Buscar a Dios muy temprano en la mañana,Rogar, clamar al Todopoderoso.Limpiar nuestras sendas y andar en rectitud.El resultado de acercarse al Señor en oración es: “Ciertamente luego se despertará por ti, y hará próspera la morada de tu justicia. Y aunque tu principio haya sido pequeño, Tu postrer estado será muy grande”.En las decisiones de tu vida consulta al cielo, ya que somos expertos en colocar problemas en las manos de Dios, pero las decisiones trascendentales las colocamos en nuestras propias manos. ¡Así no funciona con Dios! Entrégale tu voluntad. Cuando sueltas lo que quieres controlar,  tomarás mejores decisiones.Confiar totalmente en DiosEl Salmos 37:5 TLA continua diciendo: “…Confía plenamente en Él” Confiar no es solo sentir paz y no hacer nada, confiar es obedecer la Palabra, es vivir en ella. A veces la terquedad nos lleva a tomar muy malas decisiones, cuando soy yo el que sostengo el timón, trato a Dios como si fuera el copiloto.Tú le dice a Dios: "Déjame, yo sé cómo lo hago". Y yo le digo una cosa: Dios no es pasajero de nadie. Si Él no tiene el control, Él no va ahí, es necesario que el Señor tome el control y el mando: de tu negocio, de tu casa, de tu empresa, de tus hijos.Muchas veces cuando le entregamos el control a Dios viene el síndrome de la "Ansiedad Espiritual", que “se caracteriza por el miedo, temor o preocupación excesiva, intensa y persistente que interfiere en la vida cotidiana” Tú dices que confías, pero buscas atajos, manipulas los procesos. Toda esta ansiedad espiritual se debe a que estás tratando de que Dios haga lo que tú quieres. Dios no puede se...

Anyone who was in the LevFin market in 2022 may remember banks using term loan As to fill the financing gap when rising interest rates disrupted the syndicated loan market. That instrument has made a comeback — except this time, the TLA is no longer a back-up, but a tool to get larger financings done.In this episode, Cloud 9fin deputy LevFin editor Sasha Padbidri sat down with reporter Yiwen Lu and senior reporter Sunny Oh, to discuss the resurgence of the so-called pro-rata market.We broke down the key features of TLAs, how banks use them to differentiate themselves from direct lenders, and the evolving lender base of TLAs. We also discussed how it played out in recent jumbo buyouts, including Hologic.Have any questions? Send us a note at podcast@9fin.com. You can also check out our feature on TLA here. Thanks for listening!

En este mensaje tratamos el caso de un hombre que «descargó su conciencia» de manera anónima en nuestro sitio www.conciencia.net y nos autorizó a que lo citáramos, como sigue: «Tengo cuarenta años. Hace casi tres años empecé a enfermar. Me vieron varios médicos y me hicieron muchos exámenes. Pero todos salieron normales, y nada cambió. Como resultado, caí en un estado de depresión y me sometí a un tratamiento horroroso con un psiquiatra. En mi gran desesperación, y por consejos de la gente, recurrí luego a un curandero o brujo. Pero no fue más que una estafa. Nada cambió tampoco. »He bajado mucho de peso, y sigo muy preocupado.... ¿Será posible que Dios me perdone por haber buscado ayuda en la brujería? ¿Será que algún día Dios me sanará?» Este es el consejo que le dio mi esposa: «Estimado amigo: »¡Cuánto sentimos la enfermedad y todo lo demás que usted ha estado sufriendo! »Tal como lo ha reconocido, hizo mal cuando acudió a un curandero. Si bien algunos presuntos brujos son embusteros que estafan a sus clientes, otros se valen de verdaderos poderes de Satanás para atraer y engañar a sus víctimas. Y como el objetivo principal de Satanás es lograr que las personas se vuelvan en contra de Dios, las que consultan a los brujos corren el riesgo de perder toda la fe en Dios que pudieran alguna vez haber tenido. »Por eso, usted hizo algo malo y peligroso al consultar a un brujo, pero Dios está dispuesto a perdonar todo pecado. De hecho, “si reconocemos ante Dios que hemos pecado, podemos estar seguros de que él, que es justo, nos perdonará y nos limpiará de toda maldad”.1 No hay pecado alguno que se excluya; “toda maldad” incluye todo pecado. Así que en vez de estar preocupado por lo que ha hecho, pídale a Dios en oración que lo limpie del pecado y de toda maldad. Una vez que se lo pida, Él lo perdonará y limpiará, y ya no tendrá que preocuparse por eso, entre otras cosas. »... La ciencia médica no deja de hacer nuevos descubrimientos acerca de cómo funciona nuestro cuerpo.... Uno de esos nuevos descubrimientos es cómo nuestro cerebro afecta todas las demás partes de nuestro cuerpo. Por ejemplo, en el caso suyo la depresión que usted atribuye a su incertidumbre en cuanto a su salud bien pudiera ser otro factor que lo afecta físicamente de manera negativa. El cerebro y el cuerpo están entrelazados a tal grado que es imposible saber con certeza si la enfermedad física causó la depresión, o si la depresión pudiera haber causado, al menos en parte, la enfermedad. »Usted nos pregunta si algún día Dios lo sanará. Sí, creemos que Dios a veces sana las enfermedades sobrenaturalmente, y por eso le pedimos que nos sane. Pero reconocemos que la mayor parte del tiempo Dios se vale de los médicos para darnos sabios consejos médicos y medicinas a fin de controlar infecciones y malestares.» Con eso termina lo que recomienda Linda, mi esposa. El consejo completo puede leerse con sólo ingresar en el sitio www.conciencia.net y pulsar la pestaña que dice: «Casos», y luego buscar el Caso 761. Carlos ReyUn Mensaje a la Concienciawww.conciencia.net 1 1Jn 1:9 (TLA)

CELÝ ROZHOVOR NAJDETE NA HEROHERO.CO/STUDION „Jestli ještě někdy mohl Petr Macinka doufat, že prezident podepíše jmenování Filipa Turka ministrem, tak po jeho smskách je to naprosto vyloučené. Tím spíš, že Andrej Babiš nechce podat kompetenční žalobu. Tady si to Motoristé definitivně zabetonovali,“ myslí si politický analytik Jan Tvrdoň. „Pro Petra Pavla to byla poslední kapka soustavného tlaku,“ říká ve Studiu N investigativní reportérka Zdislava Pokorná. „Petr Macinka vypisoval prezidentovu poradci Petru Kolářovi soustavně poslední dva měsíce. Tlačil na něj, aby došlo k nějaké dohodě. V kontextu toho, jak ta komunikace dlouhodobě probíhala, si myslím, že už prezidentovi došla trpělivost,“ popisuje zákulisí současného sporu mezi Motoristy a Hradem novinářka. „Petr Macinka v podstatě říká Petru Pavlovi: Pokud mi nevyhovíte a nejmenujete Filipa Turka ministrem životního prostředí, tak se mnou budete mít těžký život,“ interpretuje Macinkovy večerní smsky Tvrdoň. „A to slovo ‚extrémní‘ nám asi naznačuje, že pan Macinka tak nějak pomrkává na prezidenta se sdělením: V zásadě neprosadíte nic, budete úplně zbytečný, možná budete sedět na Hradě a jezdit po Česku, ale to je tak možná všechno, co vám dovolím.“ Proč Deník N dostal zákaz účastnit se tiskové konference ministerstva zahraničí? Je Andrej Babiš slabý premiér, který si kvůli svému vydání neumí došlápnout na vlastní ministry, nebo mu spor Motoristů s Hradem vyhovuje? A proč nechce na Petra Pavla podat kompetenční žalobu? Podívejte se na celou epizodu na herohero.co/studion

Whether you're an out-of-towner or lifelong Philadelphian, you have probably visited South Street to see your favorite band at the TLA, grab a citywide, or eat a cheesesteak at Jim's. We're revisiting the second part of our series on this iconic street diving into what has drawn people to it for centuries: Entertainment. Host Trenae Nuri speaks with legendary Philly DJ Cosmo Baker, Philly Jazz Legacy Project consulting archivist Jack McCarthy, Bob & Barbara's owner Jack Prince, author David Bradley (whose book South Street is republishing next year), and Odunde CEO Bumi Fernandez-West.  This episode originally aired on Sept. 9th, 2025. You can find the whole series in the podcast feed.  What's your favorite South Street memory? Call or text us: 215-259-8170 Get Philly news & events in your inbox with our newsletter: Hey Philly We're also on Instagram: @citycastphilly You can support this show and get great perks by becoming a City Cast Philly Neighbor at membership.citycast.fm. Learn more about the sponsors of this episode: PA Preferred Delaware River Waterfront Corporation Advertise on the podcast or in the newsletter: citycast.fm/advertise

In this special episode of Libraries Transform Texas, host Mary Woodard—2023 president of the Texas Library Association—sits down with Kate Horan and Manya Shorr, candidates for president-elect on the TLA Executive Board. The conversation explores each candidate's professional journey, the experiences that have shaped their leadership philosophies, and their perspectives on trust, accountability, and transparency. Kate and Manya also share how they would carry these values forward in service to TLA and its members.

In this special episode of Libraries Transform Texas, host Brianna Saenz, membership engagement coordinator at the Texas Library Association, sits down with six candidates running for executive board positions in the 2026 TLA elections. The conversation features Cheryl Loewen and Daniel Schwartz, candidates for treasurer; Andrea Schorr and Megan Firestone, candidates for representative-at-large for special libraries; and Nicole Cruz and Wenndy Pray, candidates for representative-at-large for school libraries, as they share their backgrounds, perspectives, and hopes for serving the association.

¿Qué haces cuando Dios no actúa como esperabas?En esta reflexión basada en Mateo 11:2-11 (TLA), meditamos sobre un mensaje profundo y actual: el Reino de Dios no se ajusta a nuestros esquemas, nos transforma desde dentro.Juan el Bautista, aun siendo un gran profeta, tuvo dudas cuando la realidad no coincidió con sus expectativas. Jesús responde no con reproche, sino mostrando las obras del Reino: sanidad, restauración y esperanza para los más necesitados.Este mensaje te invita a:Reflexionar sobre la fe en medio de la dudaEntender cómo Dios rompe nuestros moldes religiososDescubrir un Reino que transforma más allá de lo visibleConfiar en Dios aun cuando no entiendes el proceso

====================================================SUSCRIBETEhttps://www.youtube.com/channel/UCNpffyr-7_zP1x1lS89ByaQ?sub_confirmation=1==================================================== DEVOCIÓN MATUTINA PARA JÓVENES 2025“HOY ES TENDENCIA”Narrado por: Daniel RamosDesde: Connecticut, USAUna cortesía de DR'Ministries y Canaan Seventh-Day Adventist Church===================|| www.drministries.org ||===================30 de DiciembreBien está lo que bien acaba¿De qué le servirá al hombre ganar todo el mundo, si pierde su alma? Mateo 16: 26, RV95En enero de 2017, las Águilas Cibaeñas y los Tigres del Licey disputaron el título de campeón de la Liga de Béisbol Profesional de la República Dominicana. Como buen cibaeño, soy «aguilucho desde chiquitico» y esperaba que mi equipo ganara. Pero en el último partido los Tigres nos arrebataron la corona.Mi ilusión se debía a que las Águilas habían tenido un excelente desempeño durante la temporada regular. Pero de nada valió al final. Creo que una frase de Shakespeare resume lo que pasó aquel día: «Bien está lo que bien acaba», o como dicen otras traducciones: «A buen fin, no hay mal comienzo».Aunque siempre resulta gratificante ganar la batalla, lo que realmente cuenta es ganar la guerra. Creo que la idea de «terminar bien» nos ayuda a tener una perspectiva correcta de la vida. Cuando triunfamos, no hemos de confiarnos, pues los fracasos del futuro pueden echar a perder las victorias del presente. Pero también es cierto que nuestras derrotas no nos definen. Fracasar en una relación amorosa, en un examen o en un empleo no tiene por qué significar el final. Mientras estemos vivos, habrá oportunidad para corregir los errores.Mañana termina el año. ¿Qué ves al recordar los últimos doce meses? Si fue un buen año, te animo a seguir avanzando y conquistando nuevas alturas. Si consideras que ha sido un pésimo año, no te desanimes, pronto vendrá otro año y con él la oportunidad de enmendar tus errores y remontar hacia la victoria.Puede que no sepas quiénes son las Águilas o los Tigres y en realidad eso no importa mucho. El torneo» que sí importa es el de tu vida y esta se compone de 365 «partidos» al año. Independientemente del resultado particular de cada uno, ¿cómo finalizarás este año? ¿Quién será el ganador de la lucha por tu alma? Como lo más importante es la vida eterna (ver Mateo 16: 26), el éxito o fracaso que este año representará solo se puede medir en función de qué tan cerca o lejos de Dios estemos. Con esa idea en mente te invito a acercarte a Jesús y darle a él el primer lugar en tu vida.«Puedo terminar este libro diciendo que ya todo está dicho. Todo lo que debemos hacer es alabar a Dios y obedecerlo» (Eclesiastés 12: 13, TLA). 

====================================================SUSCRIBETEhttps://www.youtube.com/channel/UCNpffyr-7_zP1x1lS89ByaQ?sub_confirmation=1==================================================== LECCIÓN DE ESCUELA SABÁTICA         IV TRIMESTRE DEL 2025Narrado por: Eddie RodriguezDesde: Guatemala, GuatemalaUna cortesía de DR'Ministries y Canaan Seventh-Day Adventist ChurchVIERNES 12 DE DICIEMBREPARA ESTUDIAR Y MEDITAR: Lee las páginas 553-558 del capítulo “La repartición de Canaán” en el libro Patriarcas y profetas de Elena de White. “Si bien es importante, por un lado, que se evite la indiferencia al tratar con el pecado, es igualmente importante, por otro lado, que se eviten los juicios duros y las sospechas infundadas. […] La prudencia manifestada por los hijos de Rubén y sus compañeros es digna de imitación. En tanto que se esforzaban sinceramente por hacer progresar la causa de la verdadera religión, fueron juzgados erróneamente y censurados con severidad; pero no manifestaron resentimiento. Escucharon con toda cortesía y paciencia los cargos que sus hermanos les hacían, antes de tratar de defenderse, y luego les explicaron ampliamente sus móviles y demostraron su inocencia. Así se arregló amigablemente la dificultad que amenazaba tener tan graves consecuencias. “Aun cuando se los acuse falsamente, los que están en lo justo pueden permitirse tener calma y ser considerados. Dios conoce todo lo que los hombres no entienden o interpretan mal, y con toda confianza podemos entregarle nuestro caso. Él vindicará la causa de los que depositan su confianza en él tan seguramente como sacó a luz la culpa de Acán. Los que son movidos por el espíritu de Cristo poseerán la caridad, que todo lo soporta y es benigna. “Dios quiere que haya unión y amor fraternal entre su pueblo. En la oración que elevó Cristo precisamente antes de su crucifixión pidió que sus discípulos fueran uno como él era uno con el Padre, para que el mundo creyera que Dios le había enviado. Esta oración conmovedora y admirable llegaba a través de los siglos hasta nuestros días, pues sus palabras fueron: ‘Mas no ruego solamente por éstos, sino también por los que han de creer en mí por la palabra de ellos' (Juan 17:20). Aunque no hemos de sacrificar un solo principio de la verdad, debemos procurar constantemente ese estado de unidad” (Elena de White, Patriarcas y profetas, pp. 557, 558). PREGUNTAS PARA DIALOGAR:1. ¿Cómo puede ayudarnos la exhortación de Pablo a estimar “a los demás como mejores a ustedes mismos” (Fil. 2:3, TLA) a no atribuir maldad infundadamente a nuestros hermanos en la fe? 2. ¿Por qué a menudo reaccionamos de forma exagerada ante una situación debido a nuestros fracasos o errores pasados? ¿Cómo podemos evitar esto? 3. Analiza la importancia de escuchar el punto de vista de los demás. ¿Cómo podemos desarrollar en nuestra iglesia la disposición a escuchar? (Comparar con Sant. 1:19). 4. Vivimos en una sociedad en la que las exigencias de la vida laboral, las responsabilidades familiares, los compromisos relacionados con la iglesia y otras obligaciones pueden parecer abrumadores. ¿Cómo puede el principio de hacer todo como para el Señor no solo hacernos más responsables, sino también darnos tranquilidad? 

World Championship 31 Draft Recap | Episode 456 Welcome to Lords of Limited, the podcast dedicated to getting you better at drafting in Magic: the Gathering. This week, we're looking at the featured drafts from this weekend's broadcast the 31st MTG World Championship featuring Javier Dominguez on Day 1 and Derrick Davis on Day 2! Join us as we dissect the decisions these pros made on magic's biggest stage, what it looks like to draft TLA in an absolutely stacked pod, and the p1p1 heard around the world!

En este mensaje tratamos el siguiente caso de una mujer que «descargó su conciencia» de manera anónima en nuestro sitio www.conciencia.net, autorizándonos a que la citáramos: «Tuve una hija con un hombre que pertenece a otra iglesia que me atrevo a decir es una secta. Con el tiempo vine a comprender la magnitud de las consecuencias.... »Aún no vivimos juntos. Él insiste en que conformemos un hogar y que busquemos un equilibrio en las religiones.... Muchas veces pienso en irme a vivir con él y formar ese hogar, pero tengo miedo de que Dios no esté de acuerdo con eso.» Este es el consejo que le dio mi esposa: «Estimada amiga: »Lo cierto es que la situación en que usted se encuentra es complicada. En muchos casos, les aconsejaríamos a los padres que se casaran a fin de proporcionarles estabilidad a los hijos. Sin embargo, en otros casos el padre o la madre pudiera representar cierto peligro para su pareja y para los hijos. Tal vez se deba a conducta delictiva, al abuso de drogas o de alcohol, a hábitos económicos irresponsables, a enfermedad mental, a falta de dominio propio, o a varios otros factores. En definitiva, el ser miembro de una secta calificaría como peligrosa a determinada persona.... ... Las sectas tienen en común ciertas características. Cada una tiene como autoridad máxima a una persona que aún vive, o a un pequeño grupo de personas que no permiten que sus miembros pongan en tela de juicio esa autoridad ni que expresen puntos de vista que difieran. Entre todos se manifiesta la paranoia con relación a los de afuera que no son miembros del grupo, y cualquiera que decide renunciar a su membresía en el grupo es condenado al ostracismo y difamado. Además, los líderes no les rinden cuentas de las finanzas a los miembros, y tienden a enseñar que ellos, en calidad de líderes, no tienen que someterse a leyes o normas morales tampoco.... »Consentir en buscar un “equilibrio” en la práctica de su religión y la del padre de su hija nunca dará resultado debido a que uno no puede creer en algo de un momento a otro sólo porque alguien se lo pide, como tampoco puede uno dejar de creer lo que ya cree. »Todavía más importante es que los seguidores de Cristo han de practicar un estilo de vida totalmente distinto que el de los que no siguen a Cristo, principalmente debido a su creencia en la Biblia o su indiferencia hacia ella. Por eso enseñó el apóstol Pablo que los seguidores de Cristo no deben formar yunta con quienes no lo son.1 »Si usted es una seguidora de Cristo, pero el padre de su hija no lo es, entonces le aconsejamos que busque asesoría legal a fin de obtener un acuerdo legal en cuanto a sustento y visitas paternas. Luego póngale punto final a la relación sentimental y no vuelva a hablar con este hombre sino sólo cuando tenga que hacer arreglos para que él visite a su hija....» Con eso termina lo que recomienda Linda, mi esposa. El consejo completo se puede leer si se ingresa en el sitio www.conciencia.net y se pulsa la pestaña que dice: «Casos», y luego se busca el Caso 752. Carlos ReyUn Mensaje a la Concienciawww.conciencia.net 1 2Co 6:14 (NVI, TLA)

(Antevíspera del Día Internacional de las Personas con Discapacidad) Sucedió en París el 18 de octubre de 2018. Mientras esperaba para subir al autobús, nadie quería moverse. Eso de por sí no habría sido gran cosa si se hubiera tratado de una persona cualquiera. Pero la persona a quien le sucedió, François Le Berre, era un hombre diagnosticado con esclerosis múltiple primaria progresiva que se movilizaba en silla de ruedas en compañía de su hermano. «Como nadie se movió —contó después Le Berre mismo en la cuenta de Twitter Accessible POUR TOUS (en español, Accesible PARA TODOS)—, el conductor se levantó y gritó: “¡Hasta aquí llegamos! ¡Bájense todos!” Los pasajeros se bajaron, algunos refunfuñando. Luego el conductor anunció que el próximo autobús pasaría en cinco minutos, y se bajó él mismo. Esperó un rato —siguió narrando Le Berre—, y una vez que todos se dispersaron, se me acercó y me dijo: “Ahora sí pueden subir. Los demás tendrán que esperar a que pase el siguiente autobús. Algún día todos pudieran llegar a necesitar una silla de ruedas.”» Cuando se le preguntó si había vuelto a tener contacto con el conductor, Le Berre respondió: «No, no lo conozco. Él nos dijo que no tenía ningún familiar con discapacidad, que sólo hacía falta ser un poco civilizado.»1 Lo ocurrido se difundió en las redes sociales y, como era de esperarse, hubo claras manifestaciones de apoyo al conductor además de relatos afines de gestos nobles en líneas de autobuses. Uno de éstos, por ejemplo, fue el caso de una pasajera en la ciudad de Niza, Francia. Embarazada de ocho meses, se subió al transporte público, pero nadie le cedió su asiento. El chofer, al darse cuenta, frenó y no volvió a poner el autobús en marcha hasta que alguien se levantó para que la mujer pudiera sentarse.2 ¡Qué buenos ejemplos de personas nobles comúnmente criticadas a causa de su profesión! Nos recuerdan el refrán que dice: «No hagas juicio a montón, sino tras buena información.» Pues con frecuencia, como dice otro refrán, «el león no es como lo pintan». Por eso nos advirtió Jesucristo en el Sermón del Monte: «No se conviertan en jueces de los demás, y así Dios no los juzgará a ustedes. Si son muy duros para juzgar a otras personas, Dios será igualmente duro con ustedes. Él los tratará como ustedes traten a los demás.... Así que en todo traten ustedes a los demás tal y como quieren que ellos los traten a ustedes.»3 Con esa última sentencia, conocida como la regla de oro, Cristo nos dio la clave para resolver prácticamente todo problema humano. Es que Él sabía que si la llevamos a la práctica podemos evitar que se den situaciones intolerables como las que afrontaron el hombre con discapacidad y la mujer embarazada. Determinemos que vamos a tratar a los demás con respeto y consideración, dispensando así no sólo el mismo trato que queremos recibir de parte del prójimo, sino también el que queremos recibir de parte de Dios mismo, quien nos creó a todos iguales. Carlos ReyUn Mensaje a la Concienciawww.conciencia.net 1 Pierre Lentz, «Un chauffeur vide son bus pour permettre a un handicapé d’y accéder», Le Huffpost, 24 octubre 2018 En línea 11 junio 2019. 2 «París: un chofer bajó a todos los pasajeros del colectivo por no ayudar a una persona discapacitada», La Nación, 26 octubre 2018 En línea 11 junio 2019. 3 Mt 7:1-2 (TLA),12 (NVI)

Inside Edge is our series on the business of cricket, presented with co-host Mike Jakeman. Our guest is Phil Weston, head of cricket at TGI Sport, the agency owned jointly by George Pyne's Bruin Sports Capital and Quadrant Private Equity. England star Harry Brook is one of an impressive roster of talent across both the male and female games, including Kieron Pollard, Rashid Khan, Jofra Archer and Sophie Devine. In 2024 TGI acquired Insignia to its international network that includes European-based tech-led media rights and virtual production agency ISG, New York-based virtual advertising solution provider Brand Brigade, UK-based Media Sales agency Sportseen, leading Australian sports agency TLA and talent management company SFX Sports Group. This episode of the Unofficial Partner podcast is brought to you by Sid Lee Sport.Sid Lee Sport is the fame-making creative and sponsorship agency for brands in sport. Through exceptional creativity, deep sponsorship expertise, and flawless on-site delivery, they help brands, sponsors, and rightsholders unlock their full potential in sport - most recently picking up a Leaders Sports Award for their work with Lidl at UEFA EURO 2024.Everything they do is driven by a culture of effectiveness - because in sport, performance matters. Not just on the pitch, but in the work too. So whether you want to build buzz, connect with audiences, or do something that actually cuts through, Sid Lee Sport knows how.Visit sidleesport.com Sid Lee Sport - where brands become champions.Unofficial Partner is the leading podcast for the business of sport. A mix of entertaining and thought provoking conversations with a who's who of the global industry. To join our community of listeners, sign up to the weekly UP Newsletter and follow us on Twitter and TikTok at @UnofficialPartnerWe publish two podcasts each week, on Tuesday and Friday. These are deep conversations with smart people from inside and outside sport. Our entire back catalogue of 400 sports business conversations are available free of charge here. Each pod is available by searching for ‘Unofficial Partner' on Apple, Spotify, Google, Stitcher and every podcast app. If you're interested in collaborating with Unofficial Partner to create one-off podcasts or series, you can reach us via the website.

====================================================SUSCRIBETEhttps://www.youtube.com/channel/UCNpffyr-7_zP1x1lS89ByaQ?sub_confirmation=1==================================================== DEVOCIÓN MATUTINA PARA JÓVENES 2025“HOY ES TENDENCIA”Narrado por: Daniel RamosDesde: Connecticut, USAUna cortesía de DR'Ministries y Canaan Seventh-Day Adventist Church===================|| www.drministries.org ||===================12 de NoviembreLa venganza del chef«Ustedes pensaron hacerme mal, pero Dios cambió ese mal en bien para hacerlo que hoy vemos: para salvar la vida de mucha gente». Génesis 50: 20En el siglo XIX llegó al continente americano un nuevo plato: las papas fritas a la francesa, que con su característica forma de bastón cautivaron el paladar de los estadounidenses. Esta forma de cocinar las papas se hizo tan popular que muchos de los restaurantes más exquisitos las servían como plato principal. Pero en 1853, un comensal exigente llegó al restaurante Moon's Lake House, en Saratoga, Nueva York, y pidió un plato de papas. George Crum, el chef de aquel restaurante, preparó las papas, pero el comensal las devolvió porque no estaban crujientes.George volvió a preparar las papas, pero una vez más el comensal las devolvió, alegando que no estaban lo suficientemente crujientes. El incidente se repitió unas cuantas veces hasta que el chef, enojado, rebanó las papas tan delgadas como una hoja de papel y se las sirvió personalmente al caballero. En aquella época, era señal de mala educación comer con las manos y al servirle papas tan delgadas y crujientes que no se podían comer con tenedor, el chef consideró que se estaba vengando del caballero. Pero sucedió todo lo contrario, el caballero quedó encantado con las papas, se olvidó de los modales y se las comió con las manos. Así nacieron las papitas fritas que hoy puedes conseguir en casi cualquier establecimiento comercial.Es muy posible que durante este año hayas sido el blanco de la venganza de alguien, y quizás con implicaciones más serias que una simple comida. Aunque no es la situación más deseable, la Biblia presenta que algo bueno puede surgir incluso de una situación tan desfavorable como la venganza. En el siglo XIX fueron las papas fritas, una simple comida; pero para José, la venganza tomó forma de cisterna, de esclavitud, humillación, calumnia y cárcel. Pero esa secuencia de calamidades terminó siento el mecanismo que Dios usó para salvar a la familia de Jacob y a todo un país.Tal vez en este momento no te des cuenta, pero muchos de los desafíos de la vida, incluso los que enfrentamos este año, a largo plazo se transformarán en bendiciones, pues «Dios va preparando todo para el bien de los que lo aman» (Romanos 8: 28, TLA). 

En este mensaje tratamos el siguiente caso de una mujer que «descargó su conciencia» de manera anónima en nuestro sitio www.conciencia.net, autorizándonos a que la citáramos: «Tengo un trabajo con muy buenas prestaciones y salario.... Además, está relacionado con la carrera que estudié en la universidad. El problema es que los otros empleados tienen vicios, son groseros y hablan mal de los demás.... Mi jefa me trata muy mal porque no me comporto como los demás. Me grita y me discrimina.... Yo soy cristiana, y en lo posible trato de apartarme de ellos.» Este es el consejo que le dio mi esposa: «Estimada amiga: »... Usted dice que es cristiana. Eso nos da a entender que es seguidora de Cristo. Hay por lo menos tres clases de seguidores de Cristo. La primera clase consta de quienes han decidido seguir a Cristo, y le han pedido que perdone los pecados que han cometido, pero aún no han estudiado la Biblia, así que no entienden lo que significa seguir a Cristo. »La segunda clase de seguidores de Cristo consta de aquellos que aceptaron a Cristo y llegaron a ser seguidores de Él, pero a quienes aún los atraen mucho sus vicios pasados. Por ejemplo, todavía bien pudieran tener la tentación de beber alcohol a fin de olvidar sus problemas. »Ese primer y segundo tipo de seguidores de Cristo son aquellos de quienes escribió el apóstol Pablo cuando dijo: “No pude dirigirme a ustedes como a espirituales, sino como a inmaduros, apenas niños en Cristo. Les di leche porque no podían asimilar alimento sólido, ni pueden todavía”.1 San Pablo estaba comparando a los seguidores de Cristo con bebés que aún necesitan leche y no son capaces de digerir comida. »El tercer tipo de seguidores de Cristo consta de quienes leen la Biblia y ponen en práctica sus enseñanzas en la vida diaria. Oran y se comunican con Dios personalmente con regularidad.... En todas las cosas, Cristo es el ejemplo que siguen. »Al parecer, usted pertenece al tercer tipo de seguidores de Cristo y quiere seguir su ejemplo. Examinemos entonces el ejemplo que nos dio Cristo. Él... se asoció con las peores personas y cenó con ellas.2 [A sus seguidores Cristo les explicó] que su propósito era darles a conocer la Buena Noticia del Evangelio a quienes estaban enfermos espiritualmente, y no a quienes disfrutaban de buena salud espiritual.3 »¿Por qué estaban esas personas dispuestas a escuchar a Cristo, a cenar con Él y a estar en compañía suya? Porque Él les mostraba lo mucho que las amaba. De hecho, Él dijo: “Si se aman de verdad, entonces todos sabrán que ustedes son mis seguidores.”4 Cristo amó de palabra y de hecho, y eso fue lo que les enseñó a sus seguidores que hicieran: amar, esperar que se les odiara, y seguir amando. Ese es el ejemplo que nos dio Cristo.» Con eso termina lo que recomienda Linda, mi esposa. El consejo completo se puede leer si se ingresa en el sitio www.conciencia.net y se pulsa la pestaña que dice: «Casos», y luego se busca el Caso 748. Carlos ReyUn Mensaje a la Concienciawww.conciencia.net 1 1Co 3:1-2 (NVI) 2 Mr 2:15 3 Lc 5:31 4 Jn 13:35 (TLA)

====================================================SUSCRIBETEhttps://www.youtube.com/channel/UCNpffyr-7_zP1x1lS89ByaQ?sub_confirmation=1==================================================== DEVOCIÓN MATUTINA PARA JÓVENES 2025“HOY ES TENDENCIA”Narrado por: Daniel RamosDesde: Connecticut, USAUna cortesía de DR'Ministries y Canaan Seventh-Day Adventist Church===================|| www.drministries.org ||===================09 de NoviembreEl poder del 1%«El Señor [...] nos hace más y más parecidos a él a medida que somos transformados a su gloriosa imagen». 2 Corintios 3: 18, NTVHace poco leí el superventas Hábitos atómicos, de James Clear. En esta obra el autor sugiere que no necesitas realizar un cambio radical de la noche a la mañana para ser una mejor persona, basta con realizar pequeñas mejoras cada día, es decir, proponerse ser un 1% mejor en el objetivo que deseas alcanzar, de ahí lo de «atómico». Aunque al principio no sientas la diferencia, dice Clear, con el tiempo, cada pequeño esfuerzo rinde resultados acumulativos que te llevarán a la meta.Lo anterior implica que si deseas ser mejor atleta, mejor profesional o mejor persona, solo tienes que enfocarte en un aspecto y dentro de ese aspecto tratar de mejorar solo un poco a la vez. ¿Se podrá aplicar el mismo principio con nuestra vida espiritual? Cuando examinamos los relatos bíblicos sobre cómo Dios transformó las vidas de sus personajes, parece que todos experimentaron un cambio repentino: Abraham tuvo que dejar su tierra y su familia de inmediato (Génesis 12: 1), Moisés pasó en un instante de príncipe a pastor y de pastor a líder de Israel (Éxodo 1-3) y el que en la mañana era «Saulo el perseguidor», ya por la tarde era «Pablo el apóstol» (Hechos 9).Ahora bien, si miramos cada una de estas historias detenidamente notaremos que, aunque hubo una conversión repentina, el crecimiento siempre fue gradual, pudiéramos decir que «un 1 % a la vez». Abraham tuvo que pasar por numerosas situaciones antes de convertirse en el padre de la fe. Moisés también tuvo que aprender y desaprender mucho sobre la marcha. Al final de su carrera, Pablo reconoció que Dios había sido paciente con él (1 Timoteo 1: 16). Así que si deseas ser mejor cristiano, el modelo bíblico consiste en aplicar la estrategia de James Clear: procura hoy ser un 1% mejor que ayer. ¿Cómo? En el versículo de hoy, Pablo dice que esa transformación gradual y progresiva la realiza Dios a medida que contemplamos al Señor Jesucristo.Hoy es un buen día para fijar la mirada en Jesús, el autor y consumador de la fe (ver Hebreos 12: 2) y confiar en que Dios, que comenzó la obra de transformación en ti, la irá perfeccionando «hasta el día en que Jesucristo vuelva» (Filipenses 1: 6, TLA). 

“Cristo hizo suyos nuestros pecados, y por eso murió en la cruz. Lo hizo para que nosotros dejemos por completo de hacer el mal, y vivamos haciendo el bien. Cristo fue herido para que ustedes fueran sanados.”‭‭1 Pedro‬ ‭2‬:‭24‬ ‭TLA‬‬

(Día Internacional de la Libertad Religiosa) A partir de la conquista cristiana, en 1119, por parte de Alfonso I el Batallador, la convivencia entre cristianos y judíos en el Reino de Navarra fue de mal en peor hasta 1498, cuando los judíos fueron expulsados del Reino de Navarra —relata el historiador navarro Jaime Aznar—. En ese momento, los Reyes Católicos, habiendo ya expulsado a los judíos de la Monarquía Hispánica, presionaron a otros reinos a que siguieran su ejemplo, y eso dio como resultado que Catalina I y Juan III de Navarra determinaran así mismo obligar a los judíos a tomar la decisión de convertirse y quedarse allí, o de marcharse. «Muchos judíos optaron por quedarse, porque salir no era fácil. No tenían adónde ir, y viajar era entonces muy caro», explica el doctor Aznar. Desde el siglo nueve, Tudela había llegado a ser el territorio navarro con la población judía más numerosa. Pero desde el siglo dieciséis hasta el siglo diecinueve se expuso un lienzo en el que aparecían los nombres de los judíos acusados de ser falsos conversos a la religión cristiana, es decir, de los judíos que se habían convertido y que, para poder permanecer allí y evitar ser investigados por la Inquisición local, le habían pagado a la Corona de Navarra 650 ducados, hoy equivalentes a unos 150 mil dólares. Para colmo de males, a fin de que la difamación fuera perdurable, se hizo una manta que era como un gran lienzo, exhibida de tal manera que todo el mundo pudiera verla, en la que se reproducían los nombres de los judíos acusados de practicar su religión a escondidas, señalándolos como culpables no sólo a ellos de por vida sino también a su descendencia. «Esto era particularmente grave —concluye el profesor Aznar— porque no podía permitirse en modo alguno que se dijera que un familiar suyo estaba en la manta, es decir, que era judaizante, o que tenía un origen judío, por el desprestigio social y naturalmente económico que eso podía conllevar».1 De tal manta, siendo la más famosa la exhibida durante siglos en la catedral de Santa María de Tudela, procede la expresión «tirar de la manta», que el Diccionario de la Real Academia define como «descubrir un caso escandaloso que otro u otros tenían interés en mantener secreto».2 Si bien se sobreentiende que aquellas víctimas de discriminación y persecución religiosa no debieron haberse sentido forzadas a ocultar nada de las prepotentes y farisaicas autoridades eclesiásticas de esos tiempos, quiera Dios que entendamos que, en nuestro caso en particular, hoy más que nunca debemos vivir conscientes de la enseñanza de San Pablo de que cada uno de nosotros es una carta conocida y leída por todos, y acatar la advertencia de Jesucristo de que «todo lo que esté escondido se descubrirá, y todo lo que se mantenga en secreto llegará a conocerse».3 Carlos ReyUn Mensaje a la Concienciawww.conciencia.net 1 Jaime Aznar, «¿De dónde viene la expresión “tirar de la manta?” Entrevista Diario de Navarra En línea 17 abril 2025; Begoña Goitiandia y Javier Iborra, «Carlos Alsina recuerda el origen navarro de la expresión “tirar de la manta”», Diario de Navarra, 21 noviembre 2024 En línea 17 abril 2025. 2 Diccionario de la lengua española de la Real Academia Española En línea 17 abril 2025. 3 Lc 12:1-2 (TLA); 2Co 3:2

MIENTRAS EL SUFRIMIENTO PASA FILIPENSES 1:19-30 (NVI) 1) ENFOQUESE EN SU PROPOSITO NO EN SU PROBLEMA FILIPENSES 1:19-21 (NVI) 2) ENFOQUESE EN TOCAR VIDAS FILIPENSES 1:22-25 (PDT) 3) ENFOQUESE EN CAMINAR RECTO FILIPENSES 1:27-28 4) EL SUFRIMIENTO NO ES DESAPROBACION DE DIOS SINO PRIVILEGIO DE DIOS. FILIPENSES 1:29-30 (NTV) SANTIAGO 1:2-4 (TLA)

PODÍVEJTE SE NA CELOU EPIZODU NA HEROHERO.CO/STUDION „Andrej Babiš doufá, že Motoristé přijdou k rozumu a nominují místo Filipa Turka někoho jiného. Mezitím ale bobtná problém s Petrem Macinkou, který chce být ministrem životního prostředí,“ říká investigativní reportérka Deníku N Zdislava Pokorná. „Motoristé jsou nabubřelí a nechovají se racionálně. Tlačí na pilu a tím sami udržují Turkovu kauzu ve veřejném prostoru,“ tvrdí v rozhovoru. Ve Studiu N podrobně popisujeme, jak jsme se ke smazaným příspěvkům dostali, jak jsme je v redakci ověřovali a proč se nakonec rozhodl veřejně promluvit zdroj, který nám je poskytl. Podívejte se na celou epizodu na herohero.co/studion

(30 Aniversario de la Inauguración del Monumento El Huevo de Colón en Sevilla, España) «Estando Cristóbal Colón a la mesa con muchos nobles españoles, uno de ellos le dijo: “Sr. Colón, incluso si vuestra merced no hubiese encontrado las Indias Occidentales, no nos habría faltado una persona que hubiese emprendido una aventura similar a la vuestra aquí en España, que es tierra pródiga en grandes hombres muy entendidos en cosmografía y literatura.” Colón no respondió a estas palabras, pero luego de pedir que le trajeran un huevo, lo puso sobre la mesa y dijo: “Señores, apuesto con cualquiera de ustedes a que no serán capaces de poner este huevo de pie como yo lo haré... sin ayuda alguna.” Todos lo intentaron sin éxito. Cuando el huevo volvió a Colón, éste lo golpeó sutilmente contra la mesa aplastando la curvatura de su base, lo que permitió dejarlo de pie. [Entonces] todos los presentes... entendieron lo que quería decirles: que después de hecha y vista la hazaña, cualquiera sabe cómo hacerla.»1   De esta historia legendaria que cuenta Girolamo Benzoni en su controvertida obra titulada Historia del Nuevo Mundo, publicada en Venecia en 1565, procede la expresión popular «como el huevo de Colón», que el Diccionario de la Real Academia Española define como «cosa que aparenta tener mucha dificultad, pero resulta ser fácil al conocer su artificio».2 Aun en el caso de quienes no conozcan la expresión, es probable que alguna vez se les haya mostrado la solución a un problema mucho más fácil de lo que se imaginaban, y hayan exclamado: «¡Ahhhh! ¡Veeee!» El mismo día en que Jesucristo resucitó, dos de sus seguidores iban camino a un pueblo cerca de Jerusalén. Mientras conversaban acerca de lo ocurrido en los últimos días, Jesús se les acercó, comenzó a caminar con ellos y, como no lo reconocieron, le contaron: «A Jesús, el profeta de Nazaret... los sacerdotes principales y nuestros líderes lograron que los romanos lo mataran, clavándolo en una cruz. Nosotros esperábamos que él fuera el libertador de Israel. Pero ya hace tres días que murió. »Esta mañana, algunas de las mujeres de nuestro grupo... fueron muy temprano a la tumba, [pero] no encontraron el cuerpo de Jesús.... [Entonces] unos ángeles se les aparecieron y les dijeron que Jesús está vivo. [Después] algunos hombres del grupo fueron a la tumba... pero ellos tampoco vieron a Jesús. »“[Es que] no pueden entender? [—les dijo Jesús—.] ... ¿No sabían ustedes que el Mesías tenía que sufrir antes de subir al cielo para reinar?” Luego Jesús les explicó todo lo que la Biblia decía acerca de él.... [Más tarde,] cuando se sentaron a comer, Jesús tomó el pan, dio gracias a Dios, lo partió y se lo dio a ellos. Entonces los dos discípulos pudieron reconocerlo, ¡pero Jesús desapareció!»3 Fue así como por fin entendieron, y lo que se dijeron el uno al otro bien pudiera resumirse como si hubieran exclamado: «¡Ahhhh! ¡Veeee!» Gracias a Dios, ahora cada uno de los que creemos en su Hijo Jesucristo podemos disfrutar actualmente de un renacimiento espiritual y gozar eternamente de un renacimiento físico «como la resurrección de Cristo».4 Carlos ReyUn Mensaje a la Concienciawww.conciencia.net 1 Wikipedia, s.v. «Huevo de Colón» En línea 22 marzo 2025. 2 Diccionario de la lengua española de la Real Academia Española En línea 4 abril 2025. 3 Lc 24:13-32 (TLA) 4 Jn 3:1-16; 10:10; 1Co 15:12-23; 1Ts 4:13-18

(Día del Arquitecto en España) En la undécima carta de las veintiuna que conforman la biografía novelada que se titula Yo, Gaudí —escrita por el productor musical barcelonés Xavier Güell, tataranieto de Eusebio Güell, quien financió la mayoría de los proyectos del famoso arquitecto catalán— Antoni Gaudí le escribe a su joven amigo Alfonso Trías acerca del obispo Grau. Gaudí conocía a Alfonso desde su niñez, ya que Alfonso era hijo del abogado Martí Trías, su vecino del Parque Güell. «El obispo Grau fue mi consejero espiritual, además de mi amigo — escribe Gaudí—. Tenía un corazón de oro, y... en cualquier situación, por difícil que fuera, podías confiar en él.... »[Cuando yo me encontraba trabajando en el palacio Güell, Grau me dijo:] “El palacio episcopal de Astorga ha sido reducido a escombros.... Quiero construir un nuevo palacio cuanto antes.... Una vez le oí [a usted] decir que para edificar el templo de la Sagrada Familia se proponía seguir la tradición mediterránea.... Eso es justamente lo que me propongo hacer....” »Acepté el encargo... [y] meses más tarde le envié los planos.... [Pero los] expertos en arquitectura en la Real Academia de Bellas Artes de San Fernando de Madrid... [consideraron] que en el proyecto había muchos defectos.... Viajé a Astorga bastante enfadado... [pero] a mi llegada... quedé sorprendido al descubrir sobre el terreno que mis cálculos iniciales, llevados a cabo a través de fotografías, estaban equivocados. No me costó reconocerlo, [así que] le dije que haría las rectificaciones oportunas. »Grau me miró complacido [y respondió:] “Compruebo que, además de tener gran talento, es usted humilde. ¡Alabado sea Dios por ello! ... Con [la humildad] la vida se ve de otra manera.... Lo contrario de la humildad no es la soberbia, como se piensa, sino el empecinamiento. ¡Hay tantos tercos en este mundo! ...” »[Yo] no estaba de acuerdo con la última parte de su reflexión —aclara Gaudí—.... Para mí, lo opuesto a la humildad sí es la soberbia. Esta es siempre gratuita y no reporta satisfacción alguna; cuando uno tiene la desgracia de creerse superior es que no lo es en absoluto. Por el contrario, la obstinación, cualidad si no igual al menos parecida a la de la terquedad, en múltiples ocasiones procura beneficios. »Mi vida es un claro ejemplo de ello.... He luchado por ir más allá de lo permitido.... Todo eso habría sido imposible sin obstinación. Te diré algo más: estoy convencido de que sin ella no se puede crear. No enfrentarse a las cosas con obstinación implica pereza, falta de carácter. Cuando uno sabe lo que quiere, se [llena de] entusiasmo; en cambio, cuando duda, no encuentra nunca la hora de empezar.»1 Quiera Dios que aprendamos, tanto de Grau como de Gaudí, que si queremos alcanzar metas grandes y maravillosas, más vale que seamos humildes, poniendo todo nuestro empeño con obstinación pero sin que importen nuestros propios intereses, pues la Biblia dice que «Dios se opone a los orgullosos, pero brinda su ayuda a los humildes».2 Carlos ReyUn Mensaje a la Concienciawww.conciencia.net 1 Xavier Güell, Yo, Gaudí (Narrativa) (Barcelona: Galaxia Gutenberg, 2019), pp. 135-46. 2 Stg 4:6 (TLA); cf. Pr 3:34 (TLA) y Fil 2:3-11

(Día Mundial sin Automóvil) En vez de ser un día común y corriente, el 28 de enero de 1896 resultó ser todo lo contrario —un día descomunal y sorprendente— para un agente de policía del pueblo de Paddock Wood en el condado de Kent, Inglaterra. Mientras hacía su recorrido habitual en bicicleta, lo pasó velozmente —¡a casi 13 kilómetros por hora, cuatro veces la velocidad máxima permitida!— un conductor llamado Walter Arnold, que tampoco llevaba la escolta de banderas exigida en esos casos para desplazarse en una zona urbana en un vehículo motorizado. Y por si eso fuera poco, estaba conduciendo él solo un vehículo no tirado por animales, y en el que no aparecía su nombre y dirección, siendo que la ley también exigía que hubiera por lo menos tres personas al mando debidamente identificadas. El policía desventajado no logró alcanzarlo para detenerlo y multarlo sino hasta después de perseguirlo durante unos 8 kilómetros, sin ocurrírsele jamás que el señor Arnold, a quien por fin había logrado cazar, habría de ser el primero en la historia de la automoción en ser multado por exceso de velocidad: ¡a 8 raudas millas por hora! Lo que no debió haber sorprendido a nadie es que Walter Arnold no era un conductor común y corriente, sino uno de los primeros vendedores de vehículos de Inglaterra, y que aprovechó al máximo la publicidad que generó esa multa por exceso de velocidad manejando «un carruaje sin caballos».1 Tanto es así que tampoco habría sido sorprendente si Arnold, en el lugar donde otros ponían su nombre y dirección, hubiera puesto más bien una leyenda que rezara: «Si algún día la velocidad me mata, no llores porque estaba sonriendo», o que en tal caso hubiera pedido que en su lápida pusieran una placa con la inscripción jocosa: «Lo multaron tantas veces por exceso de velocidad que por fin le ofrecieron un pase de temporada.» Sin embargo, por algo será que se haya popularizado el refrán que dice: «Más corre un galgo que un mastín, pero si el camino es largo, más corre el mastín que el galgo.»2 Es que, en realidad, nuestra carrera no es de velocidad sino de resistencia. A eso se debe que el sabio Maestro del libro de Eclesiastés afirme que ha observado que «en esta vida no son los más veloces los que ganan la carrera», y que el autor de la Carta bíblica a los Hebreos sostenga que «debemos dejar de lado el pecado, que es un estorbo, pues la vida es una carrera que exige resistencia».3 Por último, hay otro dicho sabio que reza: «Si quieres andar y llegar rápido, anda solo; si quieres andar y llegar lejos, anda acompañado.» Más vale, entonces, que le pidamos a Dios no sólo que nos perdone y nos limpie de todo pecado, sino también que su Hijo Jesucristo nos acompañe durante todo el recorrido, tal como ha prometido hacerlo, para que al final de nuestros días podamos declarar al igual que el apóstol Pablo: «¡He terminado la carrera y me he mantenido fiel!»4 Carlos ReyUn Mensaje a la Concienciawww.conciencia.net 1 Eleonora Pilastro, «Bizarre story of the horseless carriage charged with first speeding offence», Guiness World Records [Récords Mundiales Guiness], 29 enero 2024 En línea 5 abril 2025; «First person charged with a speeding offence» [La primera persona multada por exceso de velocidad], Guiness World Records [Récords Mundiales Guiness] En línea 5 abril 2025; Miriam Bibby, «Walter Arnold and the World’s First Ever Speeding Ticket» [Walter Arnold y la primera multa por exceso de velocidad en el mundo], Historic UK [El Reino Unido Histórico] En línea 5 abril 2025. 2 José Luis Álvarez Martínez, Saber y sabor de los refranes españoles, Boletín de la Real Academia de Extremadura de las Letras y las Artes, Tomo XXVIII, Año 2020, pp. 78-79 En línea 5 abril 2025. 3 Ec 9:11; Heb 12:1 (TLA) 4 Mt 28:20; 2Ti 4:7; 1Jn 1:9

Dans ce nouvel épisode Mélanie et Ginger reçoivent Caroline. Caroline est éducatrice spécialisée et se bat au quotidien pour un monde plus inclusif

Como cristianos, nuestras vidas pueden estar llenas de alegría porque Dios es la "fuente de toda [nuestra] alegría" Salmo 43:4 (NTV). Podemos estar alegres porque Dios está de nuestro lado y siempre está trabajando para nuestro bien.En este mensaje, el Pastor Rick camina a través de las seis claves para tener una vida llena de alegría.Una persona llena de alegría tiene más creatividad, energía y productividad.Pero para convertirte en ese tipo de persona, debes aprender a perdonar el pasado, confiar en Dios para el futuro, y entender el propósito de Dios para tu vida.“Más bien, entréguense a Dios, y hagan lo que a él le agrada” Romanos 6:13 (TLA). To support this ministry financially, visit: https://www.oneplace.com/donate/1463/29

South Street is where you go when you're visiting from out of town, where you go when you're a suburban kid looking for some counter-cultural grittiness, and where you go see your favorite band at the TLA and eat your favorite cheesesteak at Jim's afterward. In the second part of our series on South Street's most iconic street, we're looking at what has drawn people to South Street for centuries: Entertainment. Host Trenae Nuri speaks with legendary Philly DJ Cosmo Baker, Philly Jazz Legacy Project consulting archivist Jack McCarthy, Bob & Barbara's owner Jack Prince, author David Bradley (whose book South Street is republishing next year), and Odunde CEO Bumi Fernandez-West. Also be sure to check back and listen to yesterday's show to hear about the fascinating tumultuous history of South Street going back to colonial days.  What's your favorite South Street memory? Call or text us: 215-259-8170 Get Philly news & events in your inbox with our newsletter: Hey Philly We're also on Instagram: @citycastphilly You can support this show and get great perks by becoming a City Cast Philly Neighbor at membership.citycast.fm. Learn more about the sponsors of this episode: The Pottery Spottery Kidney Cancer Association  Center City District  Huel - Get 15% off with code PHILLY Advertise on the podcast or in the newsletter: citycast.fm/advertise

Grace Lin and Alvina Ling talk about travel and explore the question of whether or not all travel is transformative or opens one's horizons? They discuss how living in a foreign country is more transformative than travel, and how reading can be more transformative than travel.  Then they talk about how scammers are using AI to send very personalized emails to trick authors. They talk about some other recent scams, including fake employment texts and other scam texts.  Then Alvina tells Grace about the book INVISIBLE PARADE by Leigh Bardugo and John Picacio. And, they end with what they're grateful for.  Click here to become a Patreon member: https://www.patreon.com/Bookfriendsforever1.  See info about Grace's new book "The Gate, the Girl, and the Dragon": https://linktr.ee/gracelinauthor.  Follow us on Instagram: https://www.instagram.com/bookfriendsforever_podcast/  

Today I had a fantastic conversation with TLA app and community member Brad Lundquist. I’ve gotten to know Brad over the past several years and have found him to a very forward-thinking Lifetime Athlete whose opinions and actions are as intelligent as they are inspirational. And he’s a damn stellar human to boot. Brad shared his recent journey in mountaineering…

We’re starting our Speed Block in the periodized Annual Training Plan. It’s time to go fast, safely and effectively. I’m very pleased that speed training is finally getting the attention it deserves from the fitness and longevity crowd. Ironically, it’s always been a part of what we do here at TLA because comprehensive athleticism requires speed. That’s why we have…

(Día Internacional del Refugiado) En el año 1916, en medio de la Primera Guerra Mundial, Juan Ramón Jiménez viajó por tierra y mar desde Madrid hasta Nueva York para casarse con la escritora y lingüista Zenobia Camprubí Aymar, que provenía de una acomodada familia catalano-puertorriqueña. La crónica de su viaje transatlántico la plasma en un diario íntimo que llega a ser una de sus obras más reconocidas por su audacia literaria, titulada: Diario de un poeta recién casado. Se divide en seis partes, en las que el autor documenta sus impresiones cotidianas al viajar desde Madrid hasta su pueblo natal de Moguer en la provincia de Huelva, y luego a Cádiz; desde Cádiz hasta Nueva York (donde se casa el 2 de marzo, y donde pasa buena parte de su residencia en los Estados Unidos entre enero y julio); y luego desde Nueva York de regreso a Madrid vía Cádiz y Moguer. El 20 de junio Juan Ramón y Zenobia desembarcan en Cádiz, donde comienza la quinta parte del diario, titulada «España». «¡Patria y alma! —exclama el poeta—. / Una abriga a la otra... / de la cuna a la muerte. / ... Ahora que el cuerpo entró en su patria, / el alma se le entra. / ¡Así, bien lleno! ¡Así, todo completo! / ¡Con mi alma, en mi patria!» Los recién casados visitan el colegio de San Luis Gonzaga en el Puerto de Santa María donde estudió Juan Ramón, y luego van a Moguer. Como es de esperar, allí la familia los recibe con cariño y con regalos de bodas. El 30 de junio, durante el retorno a Sevilla con destino a Madrid, el poeta le dedica a su madre los siguientes versos: ¡Qué bien le viene al corazón su primer nido! ¡Con qué alegre ilusión torna siempre volando a él; con qué descuido se echa en su fresca ramazón, rodeado de fe, de paz, de olvido! ... ¡Y con qué desazón vuelve a dejarlo, pobre y desvalido! ¡Parece que, en un trueque de pasión, el corazón se trae, roto, el nido, [y] se queda en el nido, roto, el corazón!1 Veinte años después, celebrado ya su Aniversario de Porcelana, la guerra civil de 1936 sorprendió a Juan Ramón y a Zenobia en Madrid, desde donde lograron volver a marcharse a América. Exiliado voluntario, en 1958 el poeta, ahora Premio Nobel español, murió en la isla de Puerto Rico sin haber querido volver a su patria, también roto el corazón por el fallecimiento de su esposa un año y medio antes que él.2 Quiera Dios que quienes añoramos nuestra patria desde lejos, al recordar nuestro primer nido determinemos más bien ocupar para siempre el glorioso nido que Jesucristo fue a preparar para los que nos hagamos ciudadanos de la patria celestial. Así podremos decir junto con los salmistas de Israel: ¡Cuán hermosas son tus moradas, Señor Todopoderoso! Anhelo con el alma los atrios del Señor; casi agonizo por estar en ellos. Con el corazón, con todo el cuerpo, canto alegre al Dios de la vida. Mi Dios y rey, Dios del universo, cerca de tu altar gorriones y golondrinas hallan lugar para sus nidos y allí ponen a sus polluelos. Felices quienes moran en tu casa y te alaban sin cesar.3 Carlos ReyUn Mensaje a la Concienciawww.conciencia.net 1 Juan Ramón Jiménez, Diario de un poeta recién casado (1916) (Madrid: Casa Editorial Calleja, 1917), pp. 220, 233; Enrique González Duro, Biografía interior de Juan Ramón Jiménez (Madrid: Ediciones Libertarias, 2002), p. 116; Wikipedia, s.v. «Zenobia Camprubí» En línea 18 diciembre 2018. 2 Diego Marín, Literatura española, Tomo 2: Época moderna (New York: Holt, Rinehart and Winston, 1968), p. 308. 3 Sal 84:1-2 (NVI), 3 (TLA), 5 (BLPH)

“Si Dios ya ha respondido todas tus oraciones, ha puesto a prueba tu fe. Si todavía no lo ha hecho, está probando tu paciencia”. ¿Cuántas veces esta afirmación se manifiesta en nuestras vidas? Creo que muchas veces. Clamamos una y otra vez, pero parece que no hay respuesta. Nuestras oraciones parecen no traspasar el techo y nos sentimos desamparados, desprotegidos y angustiados. Esperamos un sí inmediato, pero nos encontramos con un constante no. Confiamos, esperamos, pero parece que nada sucede. La verdad es que algo está sucediendo. Dios está obrando. Él está presente y no nos ha olvidado. El salmista pasó por muchas situaciones similares: clamó, esperó desesperadamente, se frustró constantemente y se quejó continuamente. Sin embargo, llegó a la conclusión de que “Pacientemente había esperado a Jehová y Él se había inclinado hacia él” (Salmo 40:1). Por eso, la próxima vez que sientas que tus oraciones no son escuchadas, recuerda que Dios está realizando tres cosas: “poniendo a prueba tu fe, moldeando tu carácter y obrando a tu favor, incluso cuando tú no lo percibas así”. La Biblia dice en Salmos 34:19-20 “La persona íntegra enfrenta muchas dificultades, pero el Señor llega al rescate en cada ocasión. Pues el Señor protege los huesos de los justos; ¡ni uno solo es quebrado!” (TLA).

Navigating PCS Chaos, Saving Money, and Finding Adventure! PCSing is a constant in military life, often bringing stress, extra costs, and confusion. But it doesn't have to be a nightmare! In this episode, we dive deep into practical tips and strategies to help you survive your next Permanent Change of Station (PCS), save money, and maybe even make it an adventure. We cover everything from getting your paperwork in order to leveraging financial benefits and preparing your family for the journey. In this episode, we discuss key strategies for managing your PCS: Getting Organized & Paperwork: The importance of physical binders and electronic backups for documents. Tips for outprocessing checklists and hand-carrying essential items like orders, Power of Attorneys, birth certificates, passports, and social security cards. Keep vital documents separate from movers. Financially Preparing: The crucial need to start saving cash early for unreimbursed expenses. Access to liquid money helps with stress management and avoiding debt. Cutting expenses is the first step to saving. Understanding Financial Benefits: Dislocation Allowance (DLA): An entitlement can be taken as an advance upfront (not a loan). Rates vary by pay grade and dependents (e.g., O-5 w/ dependents $5,339, E-4 w/ dependents $3,400 in 2025).  PCS Pay Advance: Option for up to one month's base pay, interest-free, paid back over 12 months. A tool for necessary situations, better than high-interest loans. Moving Your Stuff (HHG government move vs. PPM): Options include full government shipment (through TMO) or the Personally Procured Move (PPM). A partial PPM is recommended for conus moves to get paid for weight in your car. A full PPM offers significant profit potential by paying you the government's cost (examples mentioned: Jamie's $14,000 profit in 2023, and potential $10,000 profit in 2025). Challenge misinformation about PPM rules by referencing the JTR. Temporary Living Expenses (TLE) & Temporary Living Allowance (TLA): TLE (CONUS to CONUS, CONUS to OCONUS, or OCONUS to CONUS variants): Max $290/day, limited to 21 days, can be split between old and new PDS. Can be used for M&IE even when staying with family/friends. TLA (OCONUS): Up to 60 days upon arrival, 10 days upon departure. Covers lodging plus M&IE. Reference the JTR due to common misinformation. Prioritize minimizing stress over maximizing per diem. Preparing Your Family: Frame the move as an adventure. Acknowledge feelings (sadness, excitement) for everyone. Involve older kids in packing. Remember it's a team effort. Decluttering: Less stuff makes moving easier, especially with PPM. Reduces mental stress. Try methods like the hanger trick, Marie Kondo ("spark joy"), or the "poop test" for toys. Holding a garage sale can generate extra cash. Smart Travel & Leave: Explore circuitous travel or taking leave en route by getting it on your orders. PCS is a prime opportunity to take leave between assignments. Can take leave before departing or upon arrival. Understand BH timing. Inventory & Support: Video and photograph your belongings for inventory in case of loss or damage. You are not alone. Lean on your support network, friends, family, or sponsor for help. Links Mentioned: DFAS website for TLE details  DTMO website for TLA details Joint Travel Regulations (JTR), Your ultimate (source document) guide for entitlements Kate Horrell's PCS checklists Previous Podcast Episode on the $14k PPM Profit Article about Circuitous Travel  Podcast episode about Circuitous Travel Podcast episode about Legacy Planning for Military Families For a limited time, Spencer is offering one-on-one Military Money Mentor sessions! Get your personal military money and investing questions answered in a confidential coaching call. Our new TSP course is live! Check out the Confident TSP Investing course at militarymoneymanual.com/tsp to learn all about the Thrift Savings Plan and strategies for growing your wealth while in the military. Use promo code "podcast24" for $50 off. Plus, for every course sold, we'll donate one course to an E-4 or below- for FREE! If you have a question you would like us to answer on the podcast, please reach out on instagram.com/militarymoneymanual or email podcast@militarymoneymanual.com. If you want to maximize your military paycheck, check out Spencer's 5 star rated book The Military Money Manual: A Practical Guide to Financial Freedom on Amazon or at shop.militarymoneymanual.com. I also offer a 100% free course on military travel hacking and getting annual fee waived credit cards, like The Platinum Card® from American Express, the American Express® Gold Card, and the Chase Sapphire Reserve® Card in my Ultimate Military Credit Cards Course at militarymoneymanual.com/umc3. Learn how to get your annual fees waived on premium credit cards from American Express in the Ultimate Military Credit Cards Course at militarymoneymanual.com/umc3. The Platinum Card® from American Express and the American Express® Gold Card waive the annual fee for active duty military servicemembers, including Guard and Reserve on active orders over 30 days. The annual fees on all personal Amex cards are also waived for military spouses married to active duty troops.