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 »

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 »

Executive Summary Research on large language models (LLMs) has uncovered a phenomenon that defies conventional theoretical expectations: the abrupt appearance of sophisticated cognitive capabilities — such as multi-step reasoning, deep contextual understanding, and functional code generation — when models cross certain computational scale thresholds. This phenomenon, termed emergent abilities by Wei et al. (2022), raises… Leer más »

Emergence Across the Sciences: An Interdisciplinary Review From Anderson’s «More is Different» to Large Language Models — A Verified Synthesis Across Physics, Economics, Biology, and Artificial Intelligence Abstract The concept of emergence — the appearance of novel, collective properties in systems composed of many interacting components — has become a central organizing idea across the… Leer más »

Radical Emergence in Biological and Artificial Systems: From the Biosphere to Large Language Models An Interdisciplinary Academic Review of Stuart Kauffman’s Radical Emergence Hypothesis, Biological Self-Organization, and the Unexpected Appearance of Intelligence Abstract The concept of emergence — the appearance of novel properties in complex systems that cannot be reduced to their individual components —… Leer más »

Emergent Abilities in Large Language Models (LLMs): An Extensive Academic Review Emergent Abilities in Large Language Models (LLMs): Capabilities that Appear Unexpectedly as Model Scale Increases Abstract Research on emergent abilities in Large Language Models (LLMs) investigates capabilities that appear abruptly and unpredictably as models increase in size — in terms of parameters, training data,… Leer más »

¿Estamos Ante el Fin de la Era Humana? Las Predicciones de Dario Amodei Sobre la AGI 8 de mayo de 2026 Introducción El CEO de Anthropic, Dario Amodei, ha vuelto a sacudir la industria tecnológica. En una entrevista que ha circulado ampliamente en medios especializados, Amodei sostiene que la Inteligencia Artificial General (AGI) podría llegar… Leer más »