The Adjacent Possible: How the Biosphere’s Creative Logic Explains Innovation — From the Cambrian to LLMs

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 »

Categoría: AI

Consciousness, Emergence, and Machine Minds: What the Research Actually Says

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 »

Categoría: AI

Emergence in LLMs: A Comprehensive Research Summary

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 »

Categoría: AI

Emergence: An Interdisciplinary Academic Review — From Physics to LLMs

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 »

Categoría: AI

Radical Emergence in Biological and Artificial Systems: From the Biosphere to Large Language Models

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 »

Categoría: AI

Emergent Abilities in Large Language Models: An Extensive Academic Review (2022–2026)

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 »

Categoría: AI

Skills: El Directorio de Skills que Claude Code Necesitaba

Skills: El Directorio de Skills que Claude Code Necesitaba El Problema Claude Code tiene un sistema de skills poderoso: archivos `SKILL.md` que le dicen al agente cómo behave en situaciones específicas. Pero cuando tienes cientos de skills disponibles en el ecosistema open source, encontrar la skill correcta para tu objetivo es un dolor de cabeza.… Leer más »

Categoría: AI

Graphify: El Mapa de Código que Claude Code Necesitaba

Graphify: El Mapa de Código que Claude Code Necesitaba ¿Qué es Graphify? Graphify es un skill para Claude Code que convierte cualquier carpeta de código en un grafo de conocimiento navegable. En lugar de que el agente lea archivo por archivo cada vez, le das estructura: nodos, conexiones y relaciones que ya estaban ahí pero… Leer más »

Categoría: AI