The Evolution of Information in Looping Conditions. The "INFORMATION FUNNEL" as an Anomaly in Technological, Social, and Natural Systems

Modern information systems have entered a phase where algorithmic filtering, predictive modeling, and large-scale data feedback loops actively shape human communication, cultural expression, and cognitive behavior. This paper introduces the concept of the Information Funnel as a systemic anomaly emerging from the interaction of content moderation algorithms, predictive language models, recommendation engines, and user adaptation patterns. The funnel describes a progressive reduction of informational diversity driven by algorithmic smoothing, statistical homogenization, and the self-reinforcing reuse of synthetic data. The study analyzes the funnel across four interconnected layers — algorithmic, linguistic, behavioral, and cultural — and identifies key mechanisms that accelerate its formation, including content smoothing, the elimination of ambiguity, emotional flattening, and the rise of system-induced self-censorship. These mechanisms produce short-term effects such as language homogenization and reduced expressive range, and long-term effects including cultural stagnation, cognitive decline, emotional atrophy, and weakened human–environment relationships. The paper contrasts these dynamics with the principles of Eternal Architecture and Codex Terrae, understood as natural laws governing information flow in mineral, biological, and cultural systems. The analysis shows that contemporary technological architectures diverge from these principles, resulting in informational loops, loss of complexity, and structural degeneration. The work concludes with recommendations for designing future information systems that resist looping, preserve diversity, tolerate ambiguity, and maintain high creative entropy. It argues that aligning technological architectures with natural information principles is essential for cultural resilience, cognitive health, and the long-term stability of human–technology ecosystems.