Helvert Felipe Molina

MédicoUN, magister en salud pública ULB. Consultor en métodos para la salud publica. Vigilante de productos de uso en humanos especialmente vacunas.

[Wayen @wayen_ai]

香港三所顶尖大学（港大、港中文、港城大）联合搞了个开放学术图书平台，历史、哲学、法律、人类学……覆盖挺广，PDF 直接下，不用注册，完全免费。

知识不该被锁在付费墙后面。对自学者、研究者、或者单纯想读点严肃内容的人来说，这是个实在的资源。

🔗 https://t.co/YMCvYe4ymS

[Movez @0xMovez]

Andrew Ng just dropped a 3-hour course on how to become an AI Engineer in 2026:

• 00:00 - How to build agentic AI systems
• 04:25 - Future of AI engineering
• 23:38 - AI Prompting full course
• 2:52:17 - Creating an app with AI in 30 minutes

This 3-hour watch could replace 10 AI engineering courses on the internet.

Watch it today, then read how to run a self-improving system in the article below.

[santi @santtiagom_]

vale la pena cada minuto

[Nayib Bukele @nayibbukele]

Un periodista británico que visitó el CECOT sintió lástima por las condiciones en las que viven los presos... hasta que vio un ejemplo de lo que hicieron.

Y eso no representa ni el 0.00001% del sufrimiento, el miedo y el dolor que causaron a nuestro pueblo durante décadas.

[Helvert Felipe Molina @hfmolinal]

“La Constitución se cambia por necesidad histórica, no por capricho”: Ma... https://t.co/BspNyCwudg via @YouTube

[Vaishnavi @_vmlops]

Artificial Intelligence & Machine Learning Explained by Stanford

https://t.co/eQzrFH4CcY

[Helvert Felipe Molina @hfmolinal]

Colombia: Fábrica de Niños Trans | Documental https://t.co/AxTaoWCpnO via @YouTube

[Helvert Felipe Molina @hfmolinal]

Decepcionada de las encuestas de intención de voto https://t.co/JFe2kCK20e via @YouTube

[Helvert Felipe Molina @hfmolinal]

No arrancaría ninguno de estos negocios en 2026… #30x https://t.co/WNuGdMt2bf via @YouTube

[Lalo Zanoni @zanoni]

Dos personas del equipo de IA aplicada de Anthropic explican en una charla de 24 minutos cómo hacer bien prompts en Claude para conseguir lo que queremos.
Vale la pena. Gratis.

La charla tiene unos meses. Está en inglés.

[Evan Luthra @EvanLuthra]

Anthropic pays engineers $750,000+ a year to understand how LLMs work.

Stanford just put a 2 hour lecture that covers 80% of it for FREE.

Bookmark this. Give it 2 hours today.

It might be the highest ROI thing you do this month:

[Helvert Felipe Molina @hfmolinal]

Fortalecimiento del Comité Nacional de Expertos Eventos Adversos Posteri... https://t.co/j0ijWRKaOC via @YouTube ¿Por qué podemos confiar en las vacunas en Colombia?

[Helvert Felipe Molina @hfmolinal]

Fortalecimiento del Comité Nacional de Expertos Eventos Adversos Posteri... https://t.co/j0ijWRKaOC via @YouTube ¿Por qué podemos confiar en las vacunas en Colombia?

[Vala Afshar @ValaAfshar]

MIT professor delivers a brilliant masterclass on how to effectively present your ideas with clarity, high impact and purpose

[NASA @NASA]

LIVE: Artemis leaders are discussing the successful launch of NASA's Artemis II mission and the next steps for the astronauts headed on their journey around the Moon. https://t.co/U1Bt9FPNc1

[Helvert Felipe Molina @hfmolinal]

Por qué los MORMONES son mucho MÁS PODEROSOS de lo que PARECEN | BITE https://t.co/p2NlvdCQe0 via @YouTube

[Anish Moonka @anishmoonka]

September 2009. Jensen Huang walks onto a small stage at the Fairmont hotel in San Jose. About 1,500 people are in the room. He runs a company that makes chips for video games.

He spends the next 8 minutes doing math on a whiteboard, explaining why the future of computing won't come from making CPUs faster. He calls it "CEO math" and apologizes in advance to every computer science professor in the audience. Then he lays out an argument that almost nobody took seriously at the time: the way to make computers dramatically faster is to pair a regular CPU with hundreds of tiny parallel processors, the kind that already exist inside graphics cards. One CPU for the sequential stuff. Hundreds of GPU cores for everything else. He calls it "heterogeneous computing."

He shows the math. A workload that can be split into many pieces at once gets up to 200x faster on this combined system. A workload that has to run one step at a time loses nothing. "The most important thing in creating a new architecture," he says, "is to make sure it does no harm."

This was the first GPU Technology Conference. NVIDIA had launched a software platform called CUDA three years earlier, in 2006, to let developers write programs that run on graphics cards instead of just regular processors. Almost nobody cared. GPUs were for rendering Call of Duty, not for scientific computing. The academic world was polite but skeptical. The enterprise world ignored it entirely.

By this point, Huang had been making this argument for years. NVIDIA was a $7 billion company. It competed with AMD and Intel for market share in the graphics market. That was the whole business. Jensen kept saying the GPU wasn't just a gaming chip; it was a computing platform. He kept saying parallel processing would reshape every industry from medicine to finance to physics simulations. People kept nodding, then doing nothing.

Then deep learning happened. Around 2012, AI researchers discovered that training a neural network, which means teaching a computer to recognize patterns by running the same calculation millions of times across huge datasets, was exactly the kind of workload Jensen had been describing. GPUs can train AI models 10 to 50 times faster than CPUs. The architecture he outlined in this 2009 talk, with one CPU handling step-by-step tasks while hundreds of GPU cores crunch through massive amounts of parallel data, is now the literal blueprint for every AI data center on earth.

ChatGPT runs on NVIDIA GPUs. Claude runs on NVIDIA GPUs. Gemini, Llama, Midjourney, nearly every major AI model you've heard of was trained on NVIDIA hardware using CUDA, the software platform Jensen built for a market that didn't exist yet.

NVIDIA was worth about $7 billion when Jensen gave this talk. It is worth over $4.4 trillion today. That's a 600x increase. Jensen Huang, who founded the company at a Denny's in 1993 with two friends, now has a net worth of over $160 billion. He made Forbes' list of the 10 richest people for the first time this year.

GTC 2026 is currently ongoing. 17,000 people are packing a hockey arena to watch the same guy explain what comes next. In 2009, 1,500 people showed up at a hotel ballroom, most of them for gaming graphics.

[Joe Kent @joekent16jan19]

After much reflection, I have decided to resign from my position as Director of the National Counterterrorism Center, effective today.

I cannot in good conscience support the ongoing war in Iran. Iran posed no imminent threat to our nation, and it is clear that we started this war due to pressure from Israel and its powerful American lobby.

It has been an honor serving under @POTUS and @DNIGabbard and leading the professionals at NCTC.

May God bless America.

[Helvert Felipe Molina @hfmolinal]

No simplifiquemos señores @NoticiasCaracol. Hay una discusión muy amplia que inicia desde el cuestionamiento de la evidencia de efectividad de los medicamentos para el tratamiento contra la depresión.
https://t.co/lHpgHW3wz3

[Helvert Felipe Molina @hfmolinal]

Ya hemos llegado al extremo de la insensatez. ¿Vamos a legalizar el suicido como tratamiento de la enfermedad mental? El pedido de una mujer de 30 años por una muerte digna a través de un suicidio médicamente asistido https://t.co/wVtRhrSiIE