Dr. Jerry Smith's article explores using social network analysis and percolation theory to detect "left-of-X" events—precursors to major disruptions. The analysis focuses on identifying vulnerabilities within networks by examining node centrality, community structures, and the cascading effects of removing nodes or connections. The goal is early identification of instability to enable timely intervention and prevent catastrophic outcomes. The article uses network science concepts like degree, betweenness, and eigenvector centrality to reveal hidden power dynamics and influential actors. Several academic references support the theoretical framework.

Left-of-X Event Detection

Medium Article: https://medium.com/@jsmith0475/building-human-facing-agentic-systems-the-psychology-and-sociology-of-super-intelligence-1571cf565d51

Dr. Jerry Smith's January 2025 Medium article explores the psychological, sociological, and ethical implications of "human-facing agentic systems," AI powered by large language models (LLMs). These systems, leveraging multi-headed attention mechanisms, aim to collaborate with humans, not merely serve as tools. The article emphasizes the potential for both empowerment and manipulation inherent in these systems, highlighting the crucial role of self-interest, emotion, and identity in human-AI interaction. Smith concludes with a call for responsible development guided by transparency, inclusivity, and justice, warning against the potential for these systems to become instruments of control.

Building Human-Facing Agentic Systems: The Psychology and Sociology of Super Intelligence

In-Depth Explorations of Neuroscience-Inspired Architectures Revolutionizing AI.

Left-of-X Event Detection

Dr. Jerry A. Smith

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