Lelin Guo

A Testable Computational Framework for Cognitive Enhancement: Information Input, Understanding Emergence, and Bounded Error Dynamics

The prevalent “bandwidth-dominant” paradigm in cognitive enhancement assumes that learning efficiency scales linearly with sensory input speed. This paper challenges that assumption by distinguishing exogenous information reception from endogenous understanding emergence. We prop...

Artificial General Intelligence (AGI) A1–A5 Grading Standard: From Embedded Tool to Life-Level Civilization Partner

This paper proposes a five-level grading standard (A1 to A5) for Artificial Gen-eral Intelligence (AGI), aiming to characterize the complete evolutionary path of AGI from an Embedded Tool to a Life-Level Civilization Partner. This standard goes beyond a single dimension centered...

Artificial General Intelligence (AGI) A1–A5 Grading Standard: From Embedded Tool to Life-Level Civilization Partner

This paper proposes a five-level grading standard (A1 to A5) for Artificial Gen-eral Intelligence (AGI), aiming to characterize the complete evolutionary path of AGI from an Embedded Tool to a Life-Level Civilization Partner. This standard goes beyond a single dimension centered...