This issue of the Journal of Artificial Intelligence General Science (JAIGS) delves into the evolving landscape of General Artificial Intelligence (GAI), focusing on the frontiers where current understanding meets uncharted territory. As AI technologies continue to advance, this volume seeks to explore the theoretical and practical limits of GAI, offering fresh insights into its capabilities, challenges, and future directions.

The issue will feature contributions from leading researchers and practitioners, examining the complex interplay between GAI's core principles and its application across various domains. Topics may include the development of more adaptable and autonomous systems, the ethical considerations of increasingly sophisticated AI, and the integration of GAI in real-world scenarios.

By bringing together diverse perspectives, this issue aims to push the boundaries of what is known about GAI, sparking discussions that could shape the future of AI research and its role in society. Whether through novel methodologies, groundbreaking experiments, or critical analysis, the articles in this issue will offer a comprehensive overview of the state of GAI and provide a platform for innovative ideas that challenge the status quo.