Carlos Moya

HW & SW - Product at @citiboxES - Notion lover - Staff at @productbeers

[Rubén del Campo @rdelcampog]

Llevo algunas semanas dedicándole algo de tiempo a esto. Y me gustaría que lo conocieseis. https://t.co/J2G8iGBmxd

[Eusebio Graciani @egraciani]

hablando con CTO ex-Palantir para ayudarle a fichar en España

vaya equipazo está montando!

[Carlos Moya @CarlosOpenBrain]

@AlfieJCarter Skills

[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.

[Míriam González @miriamgonp]

Si alguna vez has leído algo sobre mi caso y has pensado "ojalá pudiera ayudar", hoy te digo cómo💜

He montado este enlace con todas las vías abiertas para colaborar👉 lo que cada uno pueda.

🔗 https://t.co/lQwhNBoN8A

Un RT también ayuda muchísimo. 🙏✨

[Míriam González @miriamgonp]

Llevo 28 meses con la enfermedad hasta hace 1 mes estaba controlada, ya no.

En los análisis SEER del carcinoma neuroendocrino de la mama, la supervivencia global mediana para la enfermedad en estadio IV AJCC fue de 13 meses.

mientras que en la cohorte de una sola institución norteamericana armonizada con OMS-2012, la SG mediana para el subgrupo metastásico al inicio fue de 30 meses.

Por eso el momento de abordar la parte neuroendocrina es ahora

[Carlos de Ory ツ💻 @mrstartups]

1M 🔥 buyer-ready leads.
Generated with 5 Claude Pro Max accounts.
Proof dropping soon.
DM + RT for free access.

[Vaughtton @Vaughtton]

Que este miércoles en Madrid presento mi libro.
Que estoy: ilusionado.
Que queda: sitio.

¿Te veo por allí? (Habrá picoteo)

https://t.co/yIKdoxqGpT

[Irene Montero @IreneMontero]

En cumplimiento de la sentencia del TS, Sala de lo Civil, nº 910/2023, de 08/06/2023, publico su encabezamiento y fallo, y elimino este tweet publicado el 25 de mayo de 2022: https://t.co/deK4doh7rB

[Capitán Bitcoin @CapitanBitcoin]

🚨 Suiza confirma que Maduro envió 127 TONELADAS DE ORO a Suiza durante 5 años. En secreto. Para hacerse una idea, el Imperio Español extrajo 180 toneladas en los 3 siglos que dominó el territorio americano... ahora ya sabes quién debe devolver el oro robado a Sudamérica.

[Javier Milei @JMilei]

LA CONTRADICCIÓN DE LOS ZURDOS

Lo que está pasando en las redes sociales es un ejemplo perfecto de la hipocresía progresista.

Veo en todos lados a venezolanos festejando la caída del dictador narcoterrorista Maduro pero también veo a todos los comunistas que viven en democracias occidentales (que son cada vez menos) llorando por el innegable fracaso de su ideología, que derivó en una dictadura asesina.

Los progresistas dicen amar la democracia, pero lloran cuando cae un dictador. Eso los pinta de cuerpo entero. Dicen defender al pueblo, pero odian verlo festejar su libertad (o lo que a ellos no les gusta).

Además, el ex-dictador Maduro, que ahora pasará el resto de sus días en una cárcel norteamericana por haber sido el jefe de una organización narcoterrorista que dejó al 90% de los venezolanos en la pobreza, obligando a 8 millones de personas a escapar de su país para no morir de hambre y que para mantenerse en el poder se robó las elecciones, secuestró a Nahuel Gallo, un ciudadano argentino, y lo tiene desaparecido desde entonces.

Pero claro, los cipayos somos nosotros, los que defendemos a los argentinos, los que defendemos a la libertad y a la democracia.

Pero eso se acabó. Basta. No toleramos más las psicopateadas de los que arruinaron no sólo a nuestro país, sino a toda la región, con ideas socialistas y prácticas políticas dignas del fascismo más rancio.

Venezuela celebra.
Venezuela es Libre.
La izquierda llora.
La Libertad Avanza.

VIVA LA LIBERTAD CARAJO 🇦🇷🤝🇻🇪

[Alejandra Martinez Canchica @alemartinezcan]

Conmovida que tanta gente se preocupe por el petróleo de mi país pero no por los 1000 presos políticos torturados en el Helicoide y por los 8 millones de desplazados alrededor del mundo. Gracias 🤡

[Carlos Moya @CarlosOpenBrain]

@ShreyaYadav___ Prompt

[Carlos Moya @CarlosOpenBrain]

@calcsam BOOK

[Sam Bhagwat @calcsam]

icymi we wrote a new agents book: patterns for building ai agents

it has everything you need to take your agents from prototype to production, like agent design patterns, the basics of security, etc

reply to this tweet with BOOK and we'll dm you so you can get a copy

[Carlos Moya @CarlosOpenBrain]

@Ecom_Linus Aff

[Carlos Moya @CarlosOpenBrain]

@Bandai_es @JaumeSerra @Aiden_Tech_Ai

[Bandai España @Bandai_es]

Sorteamos una Nintendo Switch 2 + Leyendas Pokémon: Z-A – Nintendo Switch 2 Edition (incluye código de descarga del juego).

Para participar: ¡Síguenos! Dale RT, LIKE a la publicación y etiqueta a 2 amigos con el hashtag #LeyendasPokemon

¡Tenéis hasta mañana para participar!

Consulta las bases legales: https://t.co/vZzKQwNDMK

Sorteo válido para territorio nacional. El sorteo termina mañana a las 12:00h ¡Suerte a todos!

[Carlos Moya @CarlosOpenBrain]

@MuteeAutomation Ai

[Mutee | YouTube Automation @MuteeAutomation]

They earned $29K from just 8 videos 😳🔥

🐍 AI animal rescue channels are going crazy!

Last 8 uploads → 14.7M views 🧨
Avg RPM: $2 → ~$29,500 earned 💰

✅ Formula:
Giant animals + rescue stories + AI thumbnails = views & $$

💡 You can do it too:
• Use Veo 3 + ChatGPT
• Or DM us — we’ll build it for you 🎬

Even 8 videos can bring your investment back 😎

Comment “AI” & I’ll send you the details

#youtubepremium #FacelessYouTube #passiveincome #SocialMediaStrategy #YouTubeGrowth #PhilosophyNiche