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

Medium: https://medium.com/@jsmith0475/from-grep-to-greatness-how-gpt-5-makes-text-pipelines-bulletproof-36d61f82e420
The article, by Dr. Jerry A. Smith, explains how combining the Unix command grep with GPT-5's new regex-constrained tool calls creates highly efficient and reliable text processing pipelines. It contrasts older workflows, where a second grep pass was needed to validate LLM output after processing, with the new method where GPT-5's output is guaranteed to conform to specified regular expressions. This shift prevents errors proactively, reducing costs and latency by avoiding the generation of unusable data and subsequent reprocessing. The article emphasizes that while GPT-5 introduces significant capabilities, fundamental practices like initial filtering with grep and strategic chunking remain crucial for optimal pipeline performance and maintainability.

From Grep to Greatness: How GPT-5 Makes Text Pipelines Bulletproof

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

From Grep to Greatness: How GPT-5 Makes Text Pipelines Bulletproof

Dr. Jerry A. Smith

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