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, 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 »
The science of genius, brain limits, and whether the human mind can ever understand the entire universe.
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? »
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… »
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 »
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 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… »
In 2012, a seminal paper in Research Policy by Brian Uzzi, Satyam Mukherjee, Michael Stringer, and Ben Jones introduced what would become one of the most cited conceptual frameworks in innovation studies: the Adjacent Possible. The idea, originally articulated by Stuart Kauffman in the 1990s, describes the ever-expanding frontier of what can happen next —… Leer más: The Adjacent Possible: How the Biosphere’s Creative Logic Explains Innovation… »
A new interdisciplinary research report tackles one of the most profound open questions in science and philosophy: can artificial systems be conscious? The document — a multi-agent synthesis running to over 1,200 pages — draws on neuroscience, artificial intelligence research, philosophy of mind, connectomics, and ethics to examine the evidence for and against the possibility… Leer más: Consciousness, Emergence, and Machine Minds: What the Research Actually Says »