Hoy tengo que pagar más de 6.000 € de impuestos por el dinero que la gente buena me ha donado en @gofundme para poder pagar tratamientos y gastos que la Seguridad Social no cubre.
Tengo incapacidad absoluta del 33 % reconocida. El dinero que recibo es para poder vivir y tratar una enfermedad. No es un lujo, es una necesidad.
La Ley 29/1987 permite una reducción por discapacidad en herencias, pero en donaciones inter vivos (que es mi caso) la Administración la está denegando en Murcia. Mientras tanto, otras comunidades sí la aplican o tienen bonificaciones mucho más generosas.
@Hacienda_Gob, @RegionDeMurcia ¿Es justo que una persona con discapacidad tenga que pagar impuestos por donaciones destinadas a su salud? ¿Es de recibo que el Estado y algunas comunidades discriminen según donde vivas?
Esto no es solo mi caso. Es el de miles de personas enfermas que tienen que recurrir a la solidaridad de la gente porque el sistema no llega.
No es justo que paguemos impuestos por intentar sobrevivir.
Si estás pasando por algo similar, comenta.
Si crees que esto es injusto, comparte.
📢Acaba de publicarse "Nomenclatura de Química Orgánica" (@EdParaninfo ), manual adaptado a universidad y bachillerato con las últimas recomendaciones IUPAC. 📖Más info: https://t.co/RhxRnTGaEg
@UAHes#QuímicaOrgánica#IUPAC
¿Realizas demostraciones experimentales en tus clases de Física y Química de ESO, Bachillerato o FP? ¡Participa en los Premios a la Labor Docente en el Fomento de la Experimentación en Física y Química! El envío de propuestas comienza el 15 de junio: https://t.co/1WVtSK9gkX
⚠️Estos días se van a publicar exámenes de selectividad resueltos generados por IA, con resoluciones completamente mecánicas. Mi idea es subir resoluciones de ejercicios donde no se omitirán las matemáticas. Lo haré de forma tradicional, usando mi cerebro y no "prompts", si os parece bien, dejarme alguna señal, like, RT o me gusta y lo hacemos. #Selectividad #PAU #PAU2026 #EBAU #Selectividad2026
🌍 ¿Conoces las Secciones Territoriales de la RSEQ?
Son el punto de encuentro de la química cerca de ti: actividades, formación y comunidad científica. ¡Acércate, participa y conecta!
➡️https://t.co/ATrbz67Z5U
Nunca me canso de ver, realizar y grabar un eslabón neumático. Este sencillo dispositivo que mediante una compresión adiabática logra calentar el aire hasta más de 700 K. Lo suficiente para provocar la ignición de unos hilos de algodón 😍😍😍
🎸🖤 En diciembre de 2022, Jack Black sorprendió al público durante una presentación de Tenacious D en los estudios de SiriusXM con una inesperada e íntima versión de Wicked Game, el clásico de Chris Isaak.
Junto a Kyle Gass, el actor y músico dejó de lado la comedia para entregar una interpretación seria, melancólica y cargada de emoción, mostrando uno de los lados más sensibles de su voz. 🎶
Se acabó mandar hojas de ejercicios para casa. Los mismos ejercicios, con la posibilidad de dar pistas y que les/nos haga un informe de lo que han aprendido y lo que deben reforzar, inmediatamente, no tiene precio.
En el aula sin pantallas.
Un ejemplo: https://t.co/OtKjAavrxk
🔴 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: https://t.co/1qeqEqudCe 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: https://t.co/4B327floDP
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.
Gracias a @jgil65 !
Preparando material para el eclipse solar.
Visera abatible (clip&flip) con filtro solar para montar sobre gafas graduadas.
Modelo #3D. Si os interesa, encontraréis los archivos stl e instrucciones de montaje en el siguiente enlace:
https://t.co/rBvxHI8H0N
AHORA PUEDES CAMBIAR TU CORREO DE GMAIL SIN PERDER NADA
Si te creaste el correo con 12 años y llevas toda la vida arrastrando un nombre horrible, hoy es tu día:
→ El correo antiguo sigue recibiendo mensajes como alias
→ Fotos, archivos y suscripciones se quedan
→ Solo puedes hacerlo una vez cada 12 meses
Te explico como cambiarlo👇