More on applying foundational models to other fields apart from NLP research.google/blog/scaling-w…

I spent the whole week working on Basketball AI - player detection and tracking with SAM2 - jersey number detection using RF-DETR - number OCR with SmolVLM2 - team clustering with timm, UMAP, and KMeans sports repo: github.com/roboflow/sports

Without him, there won't be any Telecommunication's Engineering.

Beware: learning more is a smart person’s favorite form of procrastination.

The magic of Twitter. Some people complains about politics, hate, etc. For me Twitter is this: the magic to learn from world-class top-level scientist 🥰

Our computer vision textbook is now available for free online here: visionbook.mit.edu We are working on adding some interactive components like search and (beta) integration with LLMs. Hope this is useful and feel free to submit Github issues to help us improve the text!

It’s a hefty 206-page research paper, and the findings are concerning. "LLM users consistently underperformed at neural, linguistic, and behavioral levels" This study finds LLM dependence weakens the writer’s own neural and linguistic fingerprints. 🤔🤔 Relying only on EEG,

i don’t think you understand you train a small model on scikit-learn it gets 80% accuracy you fine-tune a huggingface transformer it gets 90% accuracy you build a custom data pipeline it gets 93% accuracy you ensemble three models with voting it gets 95% accuracy you

Aquí Miyamoto. Es un placer anunciaros que para la película en imagen real de The Legend of Zelda, Zelda será interpretada por Bo Bragason, y Link, por Benjamin Evan Ainsworth. Me hace mucha ilusión ver a ambos en la gran pantalla. (1/2)

4 stages of training LLMs from scratch, clearly explained (with visuals):

Santiago This slide from an Anthropic talk is the most clear explanation I’ve seen so far: agents have cycles in their prompts and tool calls, workflows are like dags

Google Research introduced Learn Your Way, an AI-powered experiment that reimagines textbooks into personalized, multimodal learning experiences. Built with LearnLM and integrated into Gemini 2.5 Pro, it adapts content to students’ grade level and interests, then generates

🕛 Cerramos la jornada con el Módulo de formación sobre IA Generativa II ✨ 👨‍🏫 Ponente: Ricardo Guerrero Gómez-Olmedo Ricardo Guerrero 📌 Tema: 👉 IA y sociedad: de los luditas a la geopolítica, agentes autónomos, oportunidades profesionales y demo con Perplexity.

The idea that we will automate work by building artificial versions of ourselves to do exactly the things we were previously doing, rather than redesigning our old workflows to make the most out of existing automation technology, has a distinct “mechanical horse” flavor

“The most common error of a smart engineer is to optimize a thing that should not exist.” — Elon Musk

Y así se despidió el 31 de diciembre, tras 20 años online, un referente de la información tecnológica como @Genbeta: genbeta.com/a-fondo/asi-ha…

The cleanest, most satisfying visual explanation of convolution I've ever seen.✨ - Kernel flip - edge detection - Gaussian blur - complex plane glow-up. - Math = dangerous levels of satisfaction. Credit by : 3Blue1Brown, energy meets retro Mario & Kirby

Estoy metido en estudios de pacientes virtuales y es un tema bastante interesante y complejo de hacer, donde estoy aprendiendo mucho sobre IA aplicada a temas de salud... La medicina basada en el "paciente promedio" tiene el problema de que no existe tal paciente, y es que el

If you used an LLM today, then you used sine and cosine.