The source material presents a detailed and quantifiable framework for defining and evaluating Artificial General Intelligence (AGI), moving beyond vague concepts to propose a rigorous set of metrics. This methodology operationalizes AGI as achieving the cognitive versatility and proficiency of a well-educated adult by adapting the Cattell-Horn-Carroll (CHC) theory of human intelligence. The framework decomposes general intelligence into ten core cognitive domains—including Reasoning, Memory Storage, and Visual Processing—with each domain equally weighted. Applying this system to contemporary AI models like GPT-4 and the projected GPT-5 reveals a "jagged" cognitive profile, where systems excel in knowledge-intensive areas but demonstrate profound deficits in foundational cognitive machinery, such as long-term memory, which severely limits their overall AGI score