The End of Silicon Determinism: Why Computation Needs a Living Architecture

Silicon-based computing has driven decades of exponential performance growth, yet physical and architectural limits are approaching. Moore’s Law is asymptotic, Dennard scaling is no longer valid, and emerging technologies such as quantum computing and silicon photonics offer incremental rather than foundational solutions. This paper explores the conceptual necessity of a new class of adaptive, self-referential computational architectures inspired by biological systems. We discuss current industrial approaches, identify structural bottlenecks in existing paradigms, and outline a forward-looking framework for living computation architectures. While proprietary implementations are under patent protection, this work provides a foundation for collaborative research and technical exploration.