Víctor Aguado

Mi trabajo soñado era hacer DNIs. Ahora hago cosas en SiviseStudio. Fan del NoCode, la impresión 3D, de SErgio y de SIlvia.

[Víctor Aguado @slimficky]

@RealSeasonNT1 @omasuazo11 Que el Estadio es un desastre, no hay conciertos, se tarda mucho en comprar un bocadillo en el campo y Florentino dimisión 😆😆 Menuda maquina de generar dinero ha creado Tito y aún a medio gas...

[Pepo Jiménez @kurioso]

La España Fantasma 2026 está en marcha.

Graba o fotografía alguna historia interesante (ajena al fútbol) que veas durante la final del Mundial en cualquier rincón de tu ciudad.

Podéis subir las fotos y los vídeos aquí. Gracias.
https://t.co/kiWcD3xFpr

Compartid. Gracias.

[Pepo Jiménez @kurioso]

Hace 16 años 300 fotógrafos salimos a fotografiar la España Fantasma durante la final del mundial.

Más de mil fotos que sirvieron para hacer un libro solidario para Save The Children

Si llegamos este año a la final me comprometo a intentar repetirlo.

¿Te apuntarías?

https://t.co/IZVhkrZhQh

[Víctor Aguado @slimficky]

@borjaperfra Qué suerte haberte encontrado, conocido y compartido parte del camino contigo. Eres muy grande, Borja. Hagas lo que hagas, ahí estaré apoyándote con lo que necesites. Un abrazo y a por la siguiente aventura!!!

[Borja Perez @borjaperfra]

🤓 Estoy trabajando en una investigación sobre cómo se externaliza el software público.
Llevo analizados más de 100 contratos sobre software en la administración. He encontrado esta consulta de mercado de la DGT de 2023. Estos son los precios que dan las consultoras para estos perfiles :O
La disonancia con los salarios que cobran luego en las consultoras tipo INETUM, Ayesa, etc. es increíble.

🆘 Estoy buscando testimonios de gente que quiera participar en la investigación:
1. Funcionarios que trabajen en TIC: CSSTIAE, A1, A2, subidrecciones o direcciones.
2. Desarrolladores que trabajen en consultoras para la administración pública.

Me vendría muy bien un RT y tal, porque están saliendo cosas muy interesantes.

La fuente de la tabla aquí: https://t.co/CoImIbKO2w

[Víctor Aguado @slimficky]

Grimaldo, titular hoy

[Real Madrid C.F. @realmadrid]

Comunicado Oficial: Cucurella.
https://t.co/O3LIA2aLyT

[Víctor Aguado @slimficky]

@RealSeasonNT1 Es indigno, no ya de un madridista, de cualquier persona que crea en la democracia. Enmierdar para crear un mal clima. No quieren al Madrid ni un poquito.

[Víctor Aguado @slimficky]

@RMadrid1902new En días como hoy, es cuando hay que demostrar lo madridista que eres. Cuando ganamos Champions, es muy fácil ir a Cibeles. Somos socios del Real Madrid, y tenemos una responsabilidad, joder. Que ser socio es un honor incomparable!!

[Sofía @ItisGwendolyn]

🚨 NECESITO TRABAJO 🚨
Soy diseñadora gráfica e ilustradora y después de 2 meses buscando sin parar… no he conseguido nada.
Así que sí: estoy desesperada y lo digo sin rodeos.

[Víctor Aguado @slimficky]

@flutterflow f5 f5 f5 f5 f5 f5 f5 f5 f5 f5 f5 f5 f5 f5 f5 f5 f5

[Víctor Aguado @slimficky]

@RealSeasonNT1 Has visto el último vídeo de Tito! Estocada mortal! Sí! https://t.co/5lV22gJ1EN

[Florentino 2026 @Florentino2026_]

MOUcha historia por hacer.

[Víctor Aguado @slimficky]

Segundo milagro del Papa y aún no ha pisado suelo español. A este paso le canonizan antes de irse...

[EL PAÍS Madrid @el_pais_madrid]

El milagro del Papa León XIV en Madrid: Sanidad devuelve los médicos a las urgencias extrahospitalarias, pero solo durante la visita
https://t.co/xHwTXQxK3w

[Víctor Aguado @slimficky]

Primer milagro de León XIV: que el metro abra una hora más y que se pueda pagar con tarjeta.

[Comunidad de Madrid @ComunidadMadrid]

🚇 La Comunidad de Madrid ampliará la apertura de @metro_madrid hasta las 2:30h de la madrugada del sábado 6 al domingo 7 de junio.

✅ Para facilitar el desplazamiento de los viajeros con motivo de la visita del papa León XIV.

#ElPapaEnMadrid

+Info: https://t.co/rFpP6hQZRR

[Javi Lopez ⛩️ @javilopen]

🔴 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.

[Víctor Aguado @slimficky]

@RealSeasonNT1 El Madrid, como Sison, somos todos