Year: 2024
Type: article
Abstract: —Artificial General Intelligence (AGI) represents the apex of AI research, striving to replicate human-like adaptability, reasoning, and learning across diverse domains. While current AI systems excel in specific, narrow tasks, they fall short of generalization, creativity, and transferability. Inspired by Francois Chollet’s “On the Measure of Intelligence,” this paper synthesizes theoretical insights and practical methodologies to propose a pathway toward AGI. We introduce frameworks for hybrid architectures, embodied learning, skill-acquisition benchmarks, and ethical safeguards, creating a robust foundation for scalable and human-aligned AGI. Index Terms—Artificial General Intelligence (AGI), Hybrid Architectures, Skill-Acquisition Efficiency, Ethical Safeguards, Embodied Learning, Generalization Benchmarks
DOI: 10.55041/ijsrem40019
Authors: AIML Engineer, Eeman Majumder
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4405691505