With the rapid iterative development of artificial general intelligence (AGI), artificial intelligence has gradually broken through the traditional tool attributes and exhibited life-like characteristics including self-evolution, self-sustainment, and self-adaptation. The concept of silicon-based life has evolved from science fiction imagination to a realistic evolutionary trend. Taking the technological development of artificial intelligence from 2025 to 2026 as the starting point, this paper adopts Elon Musk’s judgment on AI development and the “biological boot loader” theory. By integrating Schrödinger’s life entropy theory, von Neumann’s human-machine cognitive theory, and Gell-Mann’s complex system evolution theory, this study proposes the original theoretical perspective of consciousness entropy. It defines the formation mechanism and evolutionary characteristics of silicon-based intelligent agents, analyzes the technological control dilemmas, entropy-increasing risks, and ethical predicaments of super silicon-based intelligence, and systematically explores its multi-dimensional impacts on human carbon-based civilization in terms of economy, cognition, consciousness structure, and existential evolution. Furthermore, this paper sorts out academic controversies concerning silicon-based life evolution and dialectically discusses the symbiotic path of carbon-silicon civilization based on entropy-order balance. The research indicates that 2025–2030 will serve as a critical transition period from carbon-based civilization to silicon-based civilization. The essential entropy difference between the dissipative consciousness entropy of carbon-based life and the low-entropy ordered iteration of silicon-based intelligence determines the future direction of civilization evolution. The construction of AI safety alignment, entropy-based governance mechanism, and carbon-silicon consciousness symbiosis model has become a core proposition for the sustainable development and leap-forward upgrading of human civilization.
Xijiang Hu (Tue,) studied this question.