A Roadmap to Superintelligence: Architectures, Transformations, and Challenges in Modern AI Development
Ruslan Idelfonso Magana Vsevolodovna
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Source: Crossref
Published: Jan 28, 2025
DOI: 10.20944/preprints202501.2099.v1
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This paper examines the trajectory of artificial intelligence (AI) development, focusing on three key stages: Artificial Narrow Intelligence (ANI), Artificial General Intelligence (AGI), and Artificial Superintelligence (ASI). Recent advancements in AI architectures, particularly the evolution of transformer-based models, have significantly accelerated progress across these stages, enabling more sophisticated and scalable AI systems. This paper explores the architectural foundations of ANI, AGI, and ASI, highlighting recent modifications and their implications for future AI development. Additionally, the societal, ethical, and geopolitical implications of AI are discussed, emphasizing the need for robust safeguards and governance frameworks to ensure that AI serves as a force for human advancement rather than a source of existential risk. By integrating historical comparisons, current trends, and future projections, this paper provides a comprehensive analysis of the transformative potential of AI and its impact on humanity.
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