Archivo de la categoría: AI

The 2.8 Trillion Parameter Open-Source Giant: 5 Key Takeaways from the Kimi K3 Report

The 2.8 Trillion Parameter Open-Source Giant: 5 Key Takeaways from the Kimi K3 Report For the past year, a quiet anxiety has gripped the open-source community. While proprietary titans have scaled into the multi-trillion parameter stratosphere, the open ecosystem has largely remained trapped under a «1T-class» ceiling. This widening gap hasn’t just been a matter… Leer más: The 2.8 Trillion Parameter Open-Source Giant: 5 Key Takeaways from… »

Entropía y predicción de texto

«Predicción y entropía del inglés impreso», de Claude E. Shannon Es un artículo científico de 1951 de Claude E. Shannon. Su objetivo es medir cuánta información nueva contiene realmente cada letra de un texto y cuánto del idioma puede anticiparse gracias a la ortografía, la gramática, las palabras conocidas y el contexto «La poesía suele… Leer más: Entropía y predicción de texto »

The End of Coding: Why AI Agents are Dissolving the Software Paradigm

1. Introduction: The 50-Year Bet That Just Expired In 1968, the NATO Conference on Software Engineering was convened to address a «complexity crisis.» The world realized that as systems grew, they were becoming impossible for individual humans to manage. The solution we bet on for the next five decades was a more rigorous methodology: Agile,… Leer más: The End of Coding: Why AI Agents are Dissolving the… »

Los Herederos del Final: cuando los “extraterrestres” somos nosotros

Los Herederos del Final, de ZiVo, parte de una idea inquietante: ¿y si los seres que durante décadas imaginamos como visitantes de otros planetas no vinieran de las estrellas, sino del futuro? No de un futuro brillante. No de una humanidad triunfante que conquistó galaxias. Sino de una humanidad enferma, subterránea, agotada, descendiente de nosotros… Leer más: Los Herederos del Final: cuando los “extraterrestres” somos nosotros »

Can Humans Become Superintelligent?

The science of genius, brain limits, and whether the human mind can ever understand the entire universe.

Does intelligence require a biological substrate?

Beyond the Human Ego: 5 Mind-Blowing Realities About the Evolution of Intelligence For centuries, humanity has suffered from a profound case of «cosmic loneliness.» We looked at the stars and our fellow creatures through the lens of the «rare accident» hypothesis (H1), viewing our advanced cognition as a biological fluke—a lucky roll of the evolutionary… Leer más: Does intelligence require a biological substrate? »

The Silicon Illusion: Why Scaling Laws Won’t Unlock a Human «Superbrain»

In the current tech landscape, we are obsessed with «scaling laws.» As documented by researchers like Kaplan et al. (2020), artificial intelligence appears to gain transformative powers simply by dumping more compute, more data, and more parameters into the furnace of a neural network. This has fueled the hype around «emergent abilities»—the idea that at… Leer más: The Silicon Illusion: Why Scaling Laws Won’t Unlock a Human… »

LeWorldModel on Apple Silicon: TwoRoom Benchmark on Mac mini M4

For years, the practical frontier of AI research has felt like a gated community. Many papers are developed, trained, and validated inside Linux/CUDA environments backed by powerful NVIDIA GPUs, custom dependency stacks, and lab infrastructure that most developers do not have at home. The result is a reproducibility gap: even when a paper is public… Leer más: LeWorldModel on Apple Silicon: TwoRoom Benchmark on Mac mini M4 »

Beyond LLMs: Yann LeCun’s Critique and the JEPA Research Program

Yann LeCun is not saying that LLMs are useless. That would be too simple. His argument is more precise: language models are very good at manipulating language, code, and other symbolic systems, but they do not appear to be a sufficient path toward intelligence that can act reliably in the physical world. The distinction matters.… Leer más: Beyond LLMs: Yann LeCun’s Critique and the JEPA Research Program »

Institute for Complex Adaptive Matter (ICAM): El Instituto que Robert Laughlin Ayudó a Crear para Estudiar la Emergencia

Institute for Complex Adaptive Matter (ICAM): El Instituto que Laughlin Ayudó a Crear para Estudiar la Emergencia En 1998, Robert B. Laughlin recibía el Premio Nobel de Física por descubrir que los electrones, bajo ciertas condiciones, pueden organizarse colectivamente para crear nuevas formas de materia con propiedades que no existen en el electrón individual. Aquel… Leer más: Institute for Complex Adaptive Matter (ICAM): El Instituto que Robert… »