1a Muestra Experimental VideoHackBo: Espectros en el hackbosque
VideoHackBo is a call to inhabit the space with the trace, the error, the infinite loop, and the machine's hallucination
"Natural History 1N mod15 - 22230"
1bit color #GIF
mayo – junio, 2026
Bogotá, Colombia
@hackbo
𝗚𝗼𝗼𝗱 𝗠𝗼𝗿𝗻𝗶𝗻𝗴 ☘️
Finally, my exclusive artwork for #ELSEWHERE Collection drop, Two World , One destiny. A journey beyond the SEEN. Grateful to be part among such an incredible group of artists.
𝗩𝗲𝗹𝘃𝗲𝘁 𝗩𝗶𝘀𝗶𝗼𝗻 👁️
📍 Edition - 10 $xtz
Appreciate your share and support to collect, kindly check below 🧵
Desde que asumió Milei renunciaron 12 docentes universitarios por día, más de 10.000 en total.
Desde que asumió Milei los docentes universitarios perdieron el 41% de su salario.
Este martes 12/05 nueva marcha para que Milei implemente ya la Ley de Financiamiento Universitario.
Imagine this: it’s 1980. A Yale trained abstract painter walks into a store, buys a cheap Texas Instruments TI-99/4A home computer… and instead of picking up a brush again, he teaches himself to code. That painter? Mark Wilson. One of the most important pioneers of digital art you’ve probably never heard of /1
LA JORNADA LABORAL DE 8 HORAS COSTÓ UNA HUELGA DE 48 DÍAS. EL DERECHO A VACACIONES COSTÓ UNA HUELGA DE 64 DÍAS Y 7 MUERTOS.
LOS LABURANTES GOZAN DE DERECHOS QUE CONSIGUIERON AQUELLOS A QUIENES HOY INSULTAN DICIÉNDOLES VAGOS.
LA MORATORIA PARA AMAS DE CASA AHORA TE LA SACÓ MILEI😳
🚨 Anthropic acaba de publicar un estudio que dice exactamente qué trabajos está reemplazando su propia IA en este momento.
Y los más expuestos NO son los que todos pensaban.
Son:
- Mayores.
- Más educados.
- Ganan 47% más que el promedio.
Te lo explico 👇
#FLISoL 2026 #UNPAZ
Festival Latinoamericano de Instalación de Software Libre
https://t.co/ac6hV7nvbp
Evento sobre software libre, con charlas, actividades y espacios de intercambio.
Charla-taller: Generación de imágenes
#comfyUI
15 hs. 25/04
I want to do an art contest
All mediums are welcome to participate
Just post your work here👇
I'm thinking and building
All chains are welcome
This is just the beginning
Please tag artists and give a retweet
Let's begin
Yann LeCun was right the entire time. And generative AI might be a dead end.
For the last three years, the entire industry has been obsessed with building bigger LLMs. Trillions of parameters. Billions in compute.
The theory was simple: if you make the model big enough, it will eventually understand how the world works.
Yann LeCun said that was stupid.
He argued that generative AI is fundamentally inefficient.
When an AI predicts the next word, or generates the next pixel, it wastes massive amounts of compute on surface-level details.
It memorizes patterns instead of learning the actual physics of reality.
He proposed a different path: JEPA (Joint-Embedding Predictive Architecture).
Instead of forcing the AI to paint the world pixel by pixel, JEPA forces it to predict abstract concepts. It predicts what happens next in a compressed "thought space."
But for years, JEPA had a fatal flaw.
It suffered from "representation collapse."
Because the AI was allowed to simplify reality, it would cheat. It would simplify everything so much that a dog, a car, and a human all looked identical.
It learned nothing.
To fix it, engineers had to use insanely complex hacks, frozen encoders, and massive compute overheads.
Until today.
Researchers just dropped a paper called "LeWorldModel" (LeWM).
They completely solved the collapse problem.
They replaced the complex engineering hacks with a single, elegant mathematical regularizer.
It forces the AI's internal "thoughts" into a perfect Gaussian distribution.
The AI can no longer cheat. It is forced to understand the physical structure of reality to make its predictions.
The results completely rewrite the economics of AI.
LeWM didn't need a massive, centralized supercomputer.
It has just 15 million parameters.
It trains on a single, standard GPU in a few hours.
Yet it plans 48x faster than massive foundation world models. It intrinsically understands physics. It instantly detects impossible events.
We spent billions trying to force massive server farms to memorize the internet.
Now, a tiny model running locally on a single graphics card is actually learning how the real world works.