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 Article: https://medium.com/@jsmith0475/when-brain-cells-learned-to-code-e9e47151fbdf
The provided text introduces Organoid Intelligence (OI), a novel computing paradigm that utilizes living neural networks grown from stem cells on silicon chips. It argues that OI offers a solution to the energy and plasticity limitations of current AI systems, which rely on GPU-based architectures and neuromorphic processors. The source highlights OI's advantages, including significantly lower energy consumption and native continuous learning capabilities, as demonstrated by neurons learning to play Pong efficiently. Furthermore, it explores the current state-of-the-art platforms and the strategic investment opportunities in this nascent field, while also addressing the profound ethical and regulatory challenges that arise from using biological computing.

When Brain Cells Learned to Code

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

When Brain Cells Learned to Code

Dr. Jerry A. Smith

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