The Semantic Domestication of Viral Agents

This project proposes a paradigm shift in virology and immunology: from the elimination of viruses to their domestication as semantic and informational partners. Drawing upon systems biology, thermodynamics, and information theory, it introduces a new framework for understanding viruses as modular, context-sensitive agents whose effect on a host depends on entropy dynamics and semantic alignment. The paper introduces a semantic viability function based on three constraints—environmental compatibility, coherence preservation, and mutual signal benefit—and applies this to both biological and artificial systems. Strategies such as entropy buffering, RNA-based coordination, and CRISPR-assisted modulation are discussed as tools for engineered symbiosis. The framework is then extended to AI systems, network ecologies, and cosmological information structures, treating viruses as agents of systemic complexity rather than chaos. This theoretical foundation supports a vision of immune systems—and planetary health—not as defenses, but as collaborative, signal-based architectures.