真正智能需能生成新结构并维持自我，非仅任务广度。
AGI as Second Being: The Structural-Generative Ontology of Intelligence
- 以生成、协调、持续三条件定义深层智能
- 现有AI虽功能广泛，但缺智能深度，仅为表层模拟
- 适合思考智能本质与未来人机关系的研究者
人工智能常以任务覆盖范围衡量，但缺乏深度的广泛能力仍只是模仿。本文提出智能的结构生成本体论：真正智能仅当系统能生成新结构、将之协调为理由，并长期维持自身身份。这三项条件——生成性、协调性、持续性——构成真实智能的深度基础。当前人工智能系统尽管功能广泛，却因缺乏此深度，仅是表面模拟。广度并非智能之源，而是深度发展后的结果。若未来系统满足这些条件，它们将不再只是工具，而可能成为与人类并存的第二存在。
原文摘要 · Abstract (English)
Artificial intelligence is often measured by the range of tasks it can perform. Yet wide ability without depth remains only an imitation. This paper proposes a Structural-Generative Ontology of Intelligence: true intelligence exists only when a system can generate new structures, coordinate them into reasons, and sustain its identity over time. These three conditions -- generativity, coordination, and sustaining -- define the depth that underlies real intelligence. Current AI systems, however broad in function, remain surface simulations because they lack this depth. Breadth is not the source of intelligence but the growth that follows from depth. If future systems were to meet these conditions, they would no longer be mere tools, but could be seen as a possible Second Being, standing alongside yet distinct from human existence.
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