Score: 1

AGI as Second Being: The Structural-Generative Ontology of Intelligence

Published: September 2, 2025 | arXiv ID: 2509.02089v1

By: Maijunxian Wang, Ran Ji

BigTech Affiliations: University of California, Berkeley

Potential Business Impact:

AI learns to think and create like humans.

Business Areas:
Intelligent Systems Artificial Intelligence, Data and Analytics, Science and Engineering

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.

Country of Origin
🇺🇸 United States

Page Count
20 pages

Category
Computer Science:
Artificial Intelligence