Por si resulta interesante, índice de mis hilos:
Industria Value Patrio: https://t.co/h0whed0Hs1
Vivencias de un trader: https://t.co/79D9O6TLTR
Consejos profesionales útiles: https://t.co/4lcSC1FVVQ
SNCP: https://t.co/zEZBG6Op4f
E-residency Estonia: https://t.co/X64HWzt8bU
@markus_value@nofinancieros Mu rápido, como decía Mota:
1. Puedes pedir residencia digital en Estonia
2. Haces el proceso (1-2 meses aprox) y la recoges en la embajada
3. Ya tienes permiso residencia digital
Sigo 👇🏼
🔴 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.
Pregunta de examen:
España tiene 4 expresidentes vivos.
El 1º fue el Presidente del robo y del terrorismo de Estado, el 2º fue el Presidente del robo y de la corrupción de Estado, el 3º fue el Presidente del robo y del espionaje de Estado y el 4º le ganó las elecciones del 2004 al PP, acabó con ETA en el 2011, remontó las elecciones del 2023 otra vez al PP y quería volver hacer campaña en el 2027 contra el PP.
Adivina a cuál acaba de imputar un juez a petición de Manos Limpias.
@ElNanoJoestar@soycamarero No tiene esas tasas facturando eso. Trabajo en medios de pago y un banco no le cobra un 0.3-0.6 facturando tan poquito si no tiene otros 150.000 productos contratados, que lo dudo.
Culturalmente podemos aceptar que hay una influencia genética en la capacidad para correr maratones, y aceptamos el mapa de abajo con el lugar de nacimiento de los mejores fondistas de la historia.
Pero no podemos aceptar que haya una influencia genética para la inteligencia. Aunque sepamos que es un rasgo heredable. Pero no podemos aceptarlo culturalmente, porque identificamos inteligencia con humanidad.
Uno de los padres del CPS, Forrester el creador de la dinámica de sistemas; hizo algo incómodo en los años 60:
Simular qué pasaba cuando ayudabas económicamente a los barrios pobres.
El resultado no fue el que esperaba. Y probablemente tampoco el que tú esperas.
🧩 Índices sintéticos: tipo de municipio
He combinado:
🌍 inmigración
👥 población
🎓 educación
💶 renta
🧳 turismo
🚨 criminalidad
Y valoro municipios según:
📊 socioeconomicas
🛡️ seguridad
👶 demografía
📈 presión migratoria
Cómo es tu municipio?
Mas: https://t.co/QEFGjeFtA5
🔴 ALUCINANTE
Ábalos montó una cita con seis putas a la vez vulnerando el toque de queda de la covid con Koldo, el comandante Villalba y el amigo chino de Zapatero https://t.co/kUMmXG2BZ1
@PauMugarra@Godivaciones@Recuenco@ingobernablepod@CPSComunidad … nuestra idea es unirnos y acercarnos un poco más a su iniciativa. Colaborar cercanos porque muchos de sus temas, en realidad, son los nuestros. Todo, ya saben, a nuestro ritmo, que no es muy rápido pero es el que es.
Y dicho esto, ayudaría mucho, muchérrimo, que hypearan…
Con música recomendada por @MarcMonF, haciendo más caso a las recomendaciones de John Cleese a la hora de mejorar la creatividad, viendo llover y desde el descanso des pueblo, aquí os dejo el 7 de 7.
We’re excited to announce that we’re making our SEGA logo 3% more blue.
We hope you enjoy this upgrade.
Please take a moment to familiarise yourself with the new look.
@robansuini@Sergio_Berbis Qué maravilla haberos visto. Me fui muy muy contento. Le ponía en LinkedIn a @albertoterol que este evento es el peor del mundo porque solo se celebra 1 vez al año y eso es 11 veces menos de lo que yo querría. Abrazo, heavymentaleros