Hoy una industria entera dejó de tener sentido.
Meta soltó SAM3 abierto en GitHub. Le dices "el jugador de blanco" y lo sigue solo en un caos NBA, dibujando la jugada táctica encima.
El scouting manual pasó a ser un hobby.
trying to use topological data analysis to map the shape of my x bookmarks through mapper + embedding extraction and generated 3 views:
- density: where attention keeps gravitating
- pca: the dominant axes of variation
- centroid: center vs edge (typical -> outlier)
🚨 ULTIMA HORA: Alguien acaba de conectar Claude directamente a Blender.
Ahora puedes construir modelos 3D complejos y geometrías avanzadas escribiendo solo un prompt de texto.
Sin código. Sin experiencia en 3D.
🚨 ¿Te enteraste?
DimensionalOS (dimOS) explotó y ya está en el #3 trending de GitHub.
Miles de devs están sacando sus agentes IA (OpenClaw y otros) del mundo digital y poniéndolos a controlar robots reales: cuadrúpedos, humanoides y drones.
Lo más brutal:
• Navegación autónoma real
• Memoria espacial + temporal
• Percepción y control directo de hardware físico
Esto ya no es simulación.
Esto es agentes viviendo en el mundo real.
REPOOOO👇
I built my own graphics library and got a whole map of my city onto a device with only 64kb of free RAM using my own rendering method written entirely in C & assembly, and a converter that take GeoJSON files and compresses them - this one went from 5mb to 34kb in my proprietary binary format, uses linedraw vector rendering to keep the entire memory buffer at only 8kb of RAM whilst tiling larger maps
In short
Screw google, aint no reason maps needs to be gigabytes of RAM to use
AI in robotics gets all the attention right now, but sometimes the most interesting work is very practical.
Viet built a small vision system that counts potatoes on a conveyor belt. No giant dataset. No huge model. Just a clear problem and a smart setup.
He used Ultralytics’ ObjectCounter, trained a tiny YOLO11 nano model, and because there was no potato dataset, he annotated a single frame with SAM 2 and trained from that. One frame. Still works across the whole video.
It is a good reminder that useful AI in industry often looks like this.
Focused. Lightweight. Solves a real task.
If you work in manufacturing or robotics, these small systems are usually the fastest wins. They save time, reduce errors, and do not need massive infrastructure.
Nice work, Viet.
His projects:
https://t.co/1TSrwcKGCW
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🚨 Este tipo ha conectado Claude con Blender y el resultado es una locura.
Ahora puedes crear escenas y modelos 3D usando solo prompts en lenguaje natural.
Crear en 3D nunca había sido tan fácil 👇
oh my.. this is over for developers
Gemini 3 can create interactive 3D webpage in mins, just a few simple text prompts, it generates all the code
you can control millions of particles with your hands and make them form any shape you want
tutorial and prompts below:
oh my.. hows this even possible
Meta just dropped SAM 3D, you can auto select any object in still image and.. turn them into high quality 3D model
the model is free to download and test in playground
link in comments