明 刘

An Engineering Definition of AGI: Complex-Project Closed-Loop Capability as an Assessment Criterion

Artificial general intelligence (AGI) has long lacked a stable and operational definition. Existing definitionsvariously emphasize human-like behavior, subjective mind, broad cognitive ability, human-levelperformance, economic value, or social impact, yet they still struggle to a...

AI Programming Capability Leaps at Fixed Model Scale: Public Evidence and a Testable Hypothesis for ES-DSI as a Societal-Level Mechanism of Intergenerational Evolution

Current progress in AI capabilities is commonly explained in terms of scaling, improvements in training algorithms, self-training, and inference-time compute. Yet software engineering exhibits a phenomenon that warrants separate study: even without increasing parameter count or a...

KSC2: A Progressive Structural Framework for ASI Structural Openness, Structural Autonomy, and the Structural Difference between AGI and ASI

Artificial General Intelligence (AGI) and Artificial Superintelligence (ASI) are commonly described in terms of capability coverage and performance relative to humans. Existing work has already sought to characterize AGI not as a single endpoint, but as a graded and measurable pr...

From the SCR Relationship to Search Space Governance: A Foundational Analytical Framework for Delivery Reliability in AI Software Engineering

Generative AI can already produce code and functionality at low cost, yet the reliable delivery of complex software still depends on continuously managing task constraints, component dependencies, change impacts, and validation feedback. This paper examines the complete AI develo...