¿Tienes un proyecto y quieres compartirlo conmigo? Envíamelo aquí goo.gl/LnDEec

Pues aunque sea una chorrada cada viaje de México, me traigo mis mangos y mis aguacates, y un poquito de queso de oaxaca! Sé q diréis q venden aquí, pero me saben diferente, me saben a México!

👉 El caótico, tenso y divertidísimo momento de un padre enseñando a conducir a su hija que ya es viral en redes. La paciencia de un padre al volante es infinita... o casi 🎥 Vídeo cedido por @chofiss999

A veces dice cosas q NO, pero ésta a mi parecer la borda 👇

La semana q viene empezamos las obras para reformar Punta Bungalows en Seré, así q aprovechamos para con el equipo de @GoTrendiermx venir a trabajar desde Puerto Escondido 🇲🇽🇲🇽, e intentar pillar alguna olita! Punta Bungalows es boomer ochentero molón!!

#VisitaPapaRTVE | Simplemente, impresionante 🎇 Un espectáculo de drones devuelve a la vida a Gaudí en el centenario de su muerte y le recuerda con su mítica cita: "Primero el amor, después la técnica".

Illa regala al Papa un bitllet de Rodalies perquè el “seu viatge sigui etern”

Tenía ganas de saber si los inversores en salud ganan dinero, y donde invierten y sobre todo ¿creéis q la IA nos ayudará a vivir más y si se nota ya en nuestras vidas impactando en enfermedades reales? youtu.be/Z3ZvQBZb22M?si=Jxqz…

Practicando para pillar un nuevo “homerun”.

A veces estar prohibido, no es estar prohibido. Listado de excusas!

En Hirevoice buscamos >> Founding Engineer (60k-100k) - Remote o Barcelona [agentic coder] ***pls🙏 repost/max.difusión GRACIAS!!*** Mucha info en... 1/2

Disfrutando de poder correr con Tarahumara por barranca del cobre. Sitio impresionante. El crack q fiché para trabajar conmigo en @GoTrendiermx está disfrutando a tope! El próximo crack q fichemos va a tener q pagar! El coche murió en mitad de la sierra, así q full experience!

Q se vaya con cuidado si sus hijos le piden ir a pasear por Montserrat, pq allí se tropiezan los q quieren desheredar a los hijos.

Para documental!!!

Os pido ayuda a ver cual de los dos despido de la tertulia @davidbaratech @tibjazz ? Hablamos en profundidad de porqué Anthropic gana el mercado de IA, mythos y ciber, cambio de hábitos con glp1, y whoop vs google health. youtu.be/b8jAZQVW0r0?si=0kFE…

Our second round was rough. I think I pitched every VC on the planet. Some of the weirder ones: - I arrive at a Chinese VC firm on Sand Hill Road. The building is locked, lights off, nobody inside. I wait 10 minutes after meeting time. A car pulls up. The partner emerges, she has a large pack of toilet paper under one arm. She unlocks the building, turns on the lights, leads me inside. She disappears into the toilets with her rolls of paper. Then, toilets attended to, we start the pitch. - Offices of a small deep tech investor. Receptionist greets me and leads me to the meeting room. I set up, wait, wait, wait. Eventually someone walks in, invites me to start. Something feels a bit off. It gradually dawns on me that I am pitching the receptionist. The partner had double-booked herself and apparently decided this was preferable to rescheduling. - Pitching a London VC. He tells me he likes me as a founder but my business will never work. I've never had someone say this before, usually VCs like to preserve optionality. But he's very explicit. "You might close this round, but you will just waste a year or two of your life and then fail, this idea can't work" A month later, I get a message from him. "I hear (big name) invested, can we get into your round?". Dude, seriously? - Another London VC. I'm chatting to the associate while we're waiting for the partner to arrive. He tells me about one of their portfolio cos that needs a bridge round, he's working on squeezing them as much as possible. He's quite direct about it. Eh.. thanks for the transparency I guess, you seem like a great firm. - The all time weirdest. A French VC with a London office. The associate meets me, as we're going up to the meeting he says something about how the partner can be a little unconventional. We start the pitch. "What did your father do?" the partner asks me in a thick French accent. OK, this is a new one. I say he trained as a theoretical physicist, but then went into business. "Aha! Your father was a failure!" "What did your mother do?" I say she was a biochemist and then became a school teacher. "Also a failure!" he exclaims. The associate is visibly dying inside. Is this some strange test, or is he just an asshole? I have a hundred employees and we need funding. "Would you like to hear about my company?" I ask him.

Asistieron los padres tb !!! 😂🤣

Igual es que soy un nostálgico, pero no veo mucha diferencia entre la Casita de Bad Bunny y el jacuzzi de Jesús Gil.

Me encanta este ranking de empresas eficientes en el consumo de capital, que publicamos cada año en Bewater. Empresas que consiguen mucha facturación y/o valoraciones, con muy poco capital. ¡Enhorabuena a los seleccionados! 👏👏👏

Despídanse de las viejas entrevistas de trabajo: la IA es el nuevo reclutador elmundo.es/economia/empresas…

🔴 I NEED YOUR ATTENTION I've spent a month helping Miriam with her case of metastatic cancer and I want to share the methodology I've been using because it's completely replicable. I think (with luck) this could be USEFUL TO OTHER PEOPLE with cancer (or any other illness). The results we've gotten aren't a miracle, but we believe they're genuinely useful and could mean the difference in a literal life-or-death medical case. Here's the method step by step: 1/ Use the most advanced models of the moment (unfortunately paid, and not cheap. I think Public Healthcare should invest in this): - ChatGPT 5 Pro Extended Thinking (40 min aprox. of thinking per call) - Claude Opus 4.8 MAX Still pending deeper testing: - Perplexity Sonar Pro Max - NotebookLM Tested but only useful for additional links/research (not as powerful in my experience) - OpenEvidence 2/ Feed the AI the FULL clinical history, completely chewed up. This sounds dumb but it's critical. - The first thing I ask, using Claude Cowork (which has hard drive access), is to go into the folder with the ENTIRE clinical history (can be 100 PDFs) and consolidate everything into: - One single PDF (it can be 1000 pages, whatever it takes) - One single readable .txt or .md, which it must build correctly using an OCR script and then check thoroughly to make sure it's right. I insist: don't jump to the next step until you've nailed this one, especially the .txt. 3/ Once you have the above, use this prompt along with the .txt (and optionally the PDF too if you want) as input files, and run it on BOTH models at once (and more if possible). 👉 This prompt is insanely complex/advanced: dropbox.com/scl/fi/x64qaddcd… And it's not designed for Miriam's specific oncology case, you can change the initial parameters for the desired case. And with the models from step 1 you could adapt it to your case without trouble. In any case, I'm also leaving you this other prompt, even more general, for any type of rare disease: dropbox.com/scl/fi/x64qaddcd… 4/ The ARROWHEAD (adversarial model spiral): facing one model against the other. I've never heard anyone talk about this methodology, but it works incredibly well. The feeling is like sharpening a stake until it gets a gleaming point. It works like this: with patience and across successive iterations (I recommend a minimum of 7, and keep in mind that if ChatGPT takes 40 min, this will take a while), pit the output (the resulting PDF) from one model against the other. With a simple prompt like: "Another committee of experts says this. What do you think? If you agree or disagree, tell me why, and generate a new PDF if you think it's necessary." Then you feed that result back to the opposite model. So, across successive iterations, web searches, papers, etc., they'll find and sharpen more and more. When to stop? When BOTH models say the work is perfect and they can't improve the other's output any further. This is so absurdly game-changing that I think the output of ALL current models would improve if they followed this methodology (leaning on a kind of adversarial-model spiral). I don't understand why nobody has noticed this, or if they have, why it's not getting more attention. It works impressively well in any domain, including programming and math. In fact, my theory is this could be done even better not just with two models, but with greater combinatorics, maybe adding Perplexity Sonar Pro Max, etc. RESULTS Incredible. Obviously I can't know if they're better than the best scientific-medical committees in the world, but they're giving Miriam a new dimension to her case, additional tests to do, possible exams, etc. Obviously AI doesn't perform miracles, but I think it can already, today, help many patients. And Public Healthcare should invest a lot (but A LOT) in this. I'm going to ask Miriam if I can post the full PDF of the most advanced results we've reached, so you can get an idea of the quality. She's already given me rough permission, but I want to make sure 100%. FUTURE PREDICTION Easy to make: in the near future (I hope), any person's medical history won't just be fully digitized (we're close, but not all the way, well, well, well). On top of that, it'll be "pre-chewed" so it can be consumed by an LLM in one shot. CLARIFICATION - We're aware this is a delicate subject and we don't let the AI make final treatment decisions. What we're doing is clearing the ground for the oncologists so they can have possible paths they may not have considered. Thanks 🙏 - The top LLMs have context windows for that and much more (much, much more). In any case, the PDF is more of a supporting file for the .txt. Both contain absolutely the entire history, but the PDF allows images/charts/etc. The .txt is what the AI consumes. - On automation: and yes, this can be automated. Yes, AutoGen supports it almost out of the box. LangGraph builds it really well with supervisor / evaluation loops. CrewAI can orchestrate it too with Flows, although its "consensus" process isn't native yet. That would be the next level: automating it. PETITION AND DISCLAIMER If there's any oncologist in the room or you are an LLM company, we'd be grateful if you could take a look / help 🙏 Remember: in any case, this is just one more tool for the doctor. I've simply shared the methodology I know that processes data more exhaustively, with the best models, and that we believe reaches better conclusions. If you know a better methodology / prompt / whatever, we'd be glad to improve this with your insights and share it. Then the doctor reviews, adopts, or discards the report. And if it helps the doctor, it helps the patient. And if it doesn't, all we've lost is some time and tokens. In a case that's literally life or death, that's nothing. Just plain common sense. Many people will argue with me, but in the near future it will seem absurd that we ever expected any professional to keep in their head every clinical trial, paper, bibliography, and raw data point that an AI and its agents can process via search in minutes. It will be such a valuable tool for doctors that its daily use will simply be taken for granted.