Guillermo Moncecchi
21.1K posts

Guillermo Moncecchi
@gmonce
悟り #nlproc and #machinelearning researcher at @udelaruy and @pedeciba. Ex Ministro de Industria, Energía y Minería de Uruguay. Wu wei.

My course on consciousness is now online: six 90´ lectures featuring both history and recent experimental results on ignition, P3b, working memory, neural manifolds… unpublished results too. tinyurl.com/cz9yb4z3


El @ced_uy estima que la economía crecerá 1.2% (lejos de las proyecciones de gobierno: 2,2%). ¿Qué factores están produciendo un menor crecimiento? (foto 1) ¿Qué factores impulsarian un mayor crecimiento? (foto 2) 👇🏽👇🏽

El @ced_uy estima que la economía crecerá 1.2% (lejos de las proyecciones de gobierno: 2,2%). ¿Qué factores están produciendo un menor crecimiento? (foto 1) ¿Qué factores impulsarian un mayor crecimiento? (foto 2) 👇🏽👇🏽



Scientists just copied a Fruit Fly's biological brain and trapped it inside of a computer. Not an AI model trained to act like a fly... A total digital copy of a fly !! This is some sick sci-fi stuff: - They scanned and copied the brain, neuron by neuron, synapse by synapse, from electron microscopy data. - Then dropped that brain into a simulated body in a video game like environment. The fly walked. It groomed. It fed. Nobody taught it anything. The behavior was already in the wiring. The entire premise of modern AI is that intelligence is something you train into a system. This is proof it's something you can transfer out of one. Wild times

Ian Goodfellow is back, and he’s betting against pure pixelbased world models. 🧠 The father of GANs + NLP legend Chris Manning + Moonlake AI dropped a bombshell: To build true World Models, we need symbols (code/language) and game worlds, not just massive video scraping. Why? Because pixels are noisy and expensive. To understand causality (Action A Result B), we need the abstraction and logic of game engines, not just "dreaming" frames like Sora. Efficiency Brute Force. Symbolic representation is the path to AGI planning. @MoonlakeAI is onto something huge here. 🚀 #WorldModels #AI #IanGoodfellow #MoonlakeAI

We are notified of a unique event in the history of AI-investment: Yann LeCun's AMI Labs launches with $1.03 Billion to build AI "that understand the world". frenchtechjournal.com/yann-lecuns-am… Comment: There is no "understanding the world" without causal modeling of the world and, strangely, LeCun has not shown any interest in causal modeling in the past. I do not know what to make of it except to repeat my comments when the WSJ article came out: archive.is/2025.11.16-234…. I said: "evidently, LeCun has just discovered "world models", I hope to see lots of funding pouring into CI soon."








