Division and Collaboration of Carbon-Based and Silicon-Based Intelligence

Based on the Zhu-Liang Truth Theorem System (Non-Paradox Theorem, Irreducibility Theorem, Provability Theorem) and the Truth Function Theorem, this paper systematically expounds the essential differences and complementary relationships between carbon-based intelligence (human) and silicon-based intelligence (AI) at the ontological, epistemological, and methodological levels. By analyzing the fundamental distinction between “active re- search” and “triggered reasoning,” we establish a collaborative model of “carbon-led, silicon- assisted” and demonstrate the inevitability and efficiency of this division through an in-depth collaboration lasting several hours. The paper further explores the profound implications of this framework for AI ethics, academic norms, and future human-machine relationships, providing a theoretical foundation for the emerging cognitive paradigm of “carbon-silicon collaboration.”