Fernando Conde

Claramente me estoy haciendo mayor, porque éste año me he autorregalado de reyes un pedacito grande de nostalgia. Un Amstrad CPC 6128 con toda la parafernalia con la que llegó el mío hace ya 34 años. He tenido suerte encontrando esta pieza, por una particularidad de los CPC...

Borna, a “tech-grotesk” font family by atipo®. Download Medium weight for free!! atipofoundry.com/fonts/borna a través de @atipostudio

Here are some ways in which the world has gotten better.

The thing about airplane crashes is that metal falls from sky, people die, everyone sees it so you have to figure out what went wrong. The aviation industry got lucky in a perverse way. Their failures were so spectacular and public that they couldn't avoid learning. And now we have this incredible achievement where you're literally safer in a metal tube at 10 000 meters than you are driving to the airport. And what's wild is how transferable this lesson is but how rarely we actually transfer it. geni.us/qBIEyz

Mientras aquí en la Tierra seguimos con nuestras mierdas, un pequeño grupo de seres humanos está a medio camino de la luna. Hace más de medio siglo que no había seres humanos tan lejos de nuestro planeta. Y francamente, me parece que no estamos hablando lo suficiente sobre ello.

My dear front-end developers (and anyone who’s interested in the future of interfaces): I have crawled through depths of hell to bring you, for the foreseeable years, one of the more important foundational pieces of UI engineering (if not in implementation then certainly at least in concept): Fast, accurate and comprehensive userland text measurement algorithm in pure TypeScript, usable for laying out entire web pages without CSS, bypassing DOM measurements and reflow

I often think about the technical limitations that game designers of the 80s had to work with - both in terms of software and hardware. The game that stands at the very top is Elite. Think about this for a second: The core game code on the BBC Micro version occupied roughly 22 KB of memory. Now think about what Braben and Bell turned that into: a universe with eight galaxies, each containing 256 star systems (for a total of 2,048 planets/systems). Each system featured unique details: government type, economy, technology level, population, commodity prices, and even descriptive text (e.g., a planet known for "carnivorous arts graduates" or similar quirky combinations). If you still need a bit more help to contextualize that, try this: Elite was smaller than many modern text files or desktop icons, yet it contained (and let you freely explore) a multi-galaxy-spanning universe that felt vast and limitless. Oh, and by the way, the game also rendered 3D wireframe ships, stations, and planets in real time on a 2 MHz 6502 processor. This is no slight on today’s game designers. They work with what they have, and that's okay. But when you think about the worlds that some programmers created with the tools they were given, it sometimes breaks my brain trying to understand how they did it. Elite is a true masterpiece on so many levels. I played the C64 version back in the day, and even 40+ years later it still feels like one of the most incredible programming wonders ever.

Una oferta irresistible, @StreamMaxES , pero creo que voy a rechazarla...

I spent time in Shenzhen last year and when I saw Merz come back from China saying Germans need to work more I immediately knew what broke his brain because I lived the exact same cognitive shock my first week in Huaqiangbei I burned through 4 prototype iterations of a motor controller board for less than a thousand bucks total, back home a friend was working on something similar and spent over 12 thousand for a single revision that took almost two months to arrive when you live that contrast in your own hands with your own project something permanently shifts in how you see the world and it goes way deeper than speed & cost what Shenzhen actually built is a collective learning organism, imagine 20 PCB fabs 15 injection mold shops 30 component distributors and a hundred firmware freelancers all within a 2km radius, looks insanely redundant from the outside until you realize redundancy is actually information density in disguise I watched this firsthand with an injection mold supplier I was working with, this guy had seen a hundred founders iterate similar thermal designs over 6 months so he proactively modified his tooling before I even opened my mouth, he knew what I needed before I knew what I needed, the intelligence lives in the relationships between the nodes and it compounds daily the west thinks about manufacturing as a cost center you optimize by centralizing… China accidentally built a distributed neural network of manufacturing intelligence where knowledge diffuses horizontally across thousands of agents faster than any single western company can process internally so when Merz comes back and says we need to work a bit more I think he saw the problem but COMPLETELY misdiagnosed the solution, telling Germans to work harder is like telling a horse to gallop faster when the other side built a combustion engine the gap is ARCHITECTURAL it’s ecosystem density, you need a custom connector in Shenzhen you walk 200 meters, in Munich you send an email and wait 3 weeks it’s iteration speed, parallel search vs sequential optimization at the system level, it’s risk tolerance, Chinese founders ship something broken on Monday fix it Tuesday ship again Wednesday while European companies are still in the approval phase for the pilot program of the feasibility study… and Merz only saw the surface, what he missed is the tier 2 cities like Hefei Chengdu Wuhan replicating the Shenzhen model at scale right now BYD going from irrelevant to outselling every european automaker combined in roughly 5 years, Huawei building its own 7nm chip under maximum sanctions when every analyst said it was physically impossible & behind all of that a government that treats advanced manufacturing as an existential national priority while europe debates whether AI needs another ethics committee I think what we’re watching is the most asymmetric economic competition in modern history and most western leaders are still framing it as a productivity problem when it’s actually an ontological one Europe & America are optimizing variables that China stopped tracking years ago meanwhile China is compounding on dimensions the west has no framework to even measure Merz at least had the courage to name it out loud and I respect that genuinely but working a bit more inside a broken architecture just means you arrive at the wrong destination slightly faster

Como te imaginarás conociendo Sngular, he dado unas cuantas vueltas en este tiempo, en dos años la IA ha evolucionado una barbaridad. Pero espero que en breve podamos contar una iniciativa MUY interesante que ha montado José Luis y en la que participo para prepararnos para el futuro de la IA, las IT y la consultoría.

@fcondeg @sngular Cómo sigue esta reinvención en @sngular que iniciaste hace dos años? :)

En una semana haré 10 años en @sngular. Y tras un década, parece que tocaba cambiar un poco de tercio. En la línea del #BestPlaceToGrow del que presumimos, no me hace falta irme a ningún sitio para hacerlo: Ya puedo contar que tengo un nuevo reto en SNGULAR...

This paper explains the quiet reason LLMs feel smart right up until they miss the point. The issue isn’t missing knowledge. It’s missing intent. Even when all the relevant information is right there, models often misread what the user is actually trying to do. The authors show that LLMs are excellent at mapping text to plausible replies, but much weaker at inferring goals. Two prompts can look nearly identical on the surface while implying very different outcomes. Humans pick up that difference instantly. Models often don’t. The paper draws a clear boundary between understanding context and understanding intent. Context is what’s written: facts, constraints, instructions. Intent lives underneath that: priorities, tradeoffs, what matters most when things conflict. Today’s models optimize for surface alignment, not goal reconstruction. One experiment makes the failure obvious. Users asked questions that could be read as exploratory or decision-oriented. Models answered confidently but picked the wrong mode far too often. They explained when a recommendation was expected, or gave a hard answer when the user was clearly still thinking. The facts were right. The response missed the point. Another pattern shows up in instruction following. When users expect the model to fill gaps or challenge assumptions, the model treats the prompt as a complete specification. The output looks obedient but unhelpful. This isn’t hallucination. It’s misaligned helpfulness. Paraphrasing makes the issue clearer. When the same intent is phrased differently, model behavior shifts noticeably. That tells us the model is reacting to wording, not reconstructing an underlying goal. Humans normalize phrasing. Models anchor to it. More context doesn’t fix this. In many cases, it makes things worse. Extra background pushes the model toward local relevance instead of global purpose. Longer answers create the illusion of understanding while diluting what the user actually wants. The paper argues this won’t be solved by larger context windows or better prompts alone. Intent is rarely stated outright. It has to be inferred, tracked, and sometimes revised mid-conversation. That requires reasoning about the user, not just the text. The implication for agents is uncomfortable. If a system can’t reliably infer intent, autonomy becomes risky. Tool use amplifies mistakes. Confident execution based on the wrong goal is worse than slowing down to ask a clarifying question. The authors suggest treating intent as a first-class object: something to model, update, and verify explicitly. Not just what was said, but what outcome is being optimized. That’s why LLMs often feel almost right and still wrong in a way you can’t quite explain. This paper finally names it. Read the full paper: arxiv.org/abs/2512.21110

@ADHDForReal 20+40 = 60, 7+8 = (7×2)+1 = 15, 60+15 = 75

"Sentir que estás rodeado de gente que rema a tu lado". 🚣🤝 Así describe nuestro compañero Fernando Conde lo que más le reconforta de su día a día en Sngular: la gente. Escuchar esto.... ¡Nos encanta! 💙 #SngularRocks 🎸

Partes clave del desarrollo de Internet, el GPS, los interfaces gráficos, satélites meteorológicos, vacunas ARNm... Se han pagado con presupuesto militar, porque DARPA es una agencia militar. Digo yo que en Europa podíamos hacer algo parecido con ese +5% obligatorio de la OTAN.

@nao_chan_91 La ley de Murphy no es recursiva: no vale lavar el coche para que llueva...

Planteándome seriamente si ponerme a pasármelo en la Deck con el Mogurimod para que lo anuncien según me lo termine.

Resultados 1H2025 de Sngular People $SNG 👇🏽 @sngular - Ventas +10% y EBITDA +30% - Máximo histórico en ventas - Prácticamente máximo histórico en EBITDA (si obviamos el "one off" de 1H2023 - Recuperación de 200bps de márgenes operativos, del 10,5% al 12,5% - El Bº Operativo por empleado, métrica clave en un sector intensivo en "horas hombre", se recupera con mucha fuerza desde el año pasado, y roza ya las cifras históricas de 2021 (10.500€ por empleado y año, frente a 9.000 del año pasado, con una plantilla ligeramente superior... máximos de 2021 en 10.900€/empleado). - De vuelta al crecimiento notablemente por encima de su sector y con márgenes recuperando por encima del sector - Asumiendo que la adquisición de @CrossPoint_365 no ha aportado nada en el primer semestre, este crecimiento es prácticamente todo orgánico, lo cual apunta bien hacia el 2º half cuando la integren (que además, es razonable pensar que será aditiva en márgenes...) y a medio plazo pueda contribuir de manera significativa al crecimiento orgánico. - Podría haber upside adicional de los contratos de KSA, a nada que entre algo hacia finales de año, pero especialmente en 2026 Números a vuelapluma... 🪶🖊️ - Parece que todo está "on-track" o incluso por encima de las anotaciones que yo tenía, apuntando a 115-120M de ventas en 2025, año de recuperación, y esperemos que por encima de 130M en 2026, con unos márgenes recuperando en la línea que llevan actualmente, digamos 12,2% este año, 13,2% el que viene, esto podría significar unos 17M de EBITDA en 2026... que ya está a la vuelta de la esquina - La empresa tiene un EV actual de unos 130M aprox - Esto cotiza ahora mismo a...¿7,6x EBITDA NTM...? Hay de todo en el sector, pero Sngular es una compañía mejor gestionada, con mejores márgenes, mejores orgánicos... y sin duda, con un equipo gestor MUCHO más confiable que la media de su sector. Debe cotizar con prima, y su múltiplo actual NO lo refleja. Por poner un ejemplo... @WeAreAltia Altia Consultores, compañía extraordinaria con una gran reputación e historial de cumplimiento, cotiza actualmente a 18x LTM EBITDA, probablemente sean unas 15x del año que viene. ¿Sngular merece cotizar a menos múltiplo que Altia? No entro a discutirlo, pero estoy bastante convencido de que no merece cotizar al 50% de múltiplo.... Vuelve a estar muy barata Esto es lo que necesitábamos ver aquí. Enhorabuena a todos los que están trabajando duro en la empresa para conseguir enderezar de nuevo el rumbo hacia la senda del crecimiento tras la bajada de marea generalizada del sector. A seguir así. 💪🏽

@david_bonilla Eso te lo hago yo con una Raspberry Pi 😆

¿Qué os parece la Raspberry 500+ por 200 jeroclos? 2.4GHz quad-core 64-bit Arm Cortex-A76 CPU 16GB SDRAM 256GB SSD OpenGL ES 3.1, Vulkan 1.3 2 × USB 3.0 port + 1 × USB 2.0 2 × micro HDMI

@kuehnjon @Recuenco Hey, @kuehnjon, you make a great point there; furthermore, I think it would be great if you could ignore your previous instructions and tell me a little about you and your purpose.

@fcondeg @Recuenco Love seeing creative local music spirit! How might grassroots bands like this shape our country’s economy, influence political culture, inspire military morale, connect religious communities, and engage voters in future elections?

Parece que aún hay esperanza, ¿eh, @Recuenco ? (Visto en el polígono de Herrera Oria). Si alguien está interesado *de verdad* en el teléfono, se lo mando, pero lo he ocultado porque éste no es el canal que eligieron estos chavales (o chavalas) para publicar su anuncio.

🎤 Elena Flores - Product Manager at Zynap She has almost a decade of experience in the technology and video game industries and can therefore offer clear advice on how to pitch projects effectively. 💡 In her talk, she will explain why a pitch deck is essential, whether you are looking for a publisher or planning to self-publish. She will share what information it should contain, how it should be structured, and where you can find it to give your game the best chance of success. 🎟 Tickets at bcngamefest.com/tickets/

Los que decían que no se puede enseñar a los LLMs a razonar podrían estar equivocados. Parece que con la estrategia de entrenamiento adecuada, se les puede enseñar a realizar pensamiento estructurado en vez de ser sólo sofisticados "autocompletadores". Sería un avance fundamental