Dr. Jerry A. Smith

Deep Dive - Frontier AI with Dr. Jerry A. Smith

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

Author

Dr. Jerry A. Smith

Category

Technology

Podcast website

medium.com

Latest episode

Jul 6, 2026

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Episodes

The Evolving Paradigm of Artificial Intelligence: Systematics to Agentics 15.01.2025

Medium: https://medium.com/@jsmith0475/the-evolving-paradigm-of-artificial-intelligence-systematics-to-agentics-dcd01669c6dc Dr. Jerry Smith's Medium article traces the evolution of artificial intelligence from simple, rule-based systematics to adaptable agentics, culminating in the emergence of neuro-agentics which mimic human-like cognitive abilities. The article explores the ethical and philoso...

Building Human-Facing Agentic Systems: The Psychology and Sociology of Super Intelligence 08.01.2025

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...

Best Practices for Fine-Tuning Large Language Models with LoRA and QLoRA 28.12.2024

Medium Article: https://medium.com/@jsmith0475/best-practices-for-fine-tuning-large-language-models-with-lora-and-qlora-998312c82aad Dr. Jerry A. Smith's Medium article details best practices for efficiently fine-tuning large language models (LLMs) using LoRA and QLoRA. The article emphasizes parameter efficiency to overcome challenges like memory limitations and computational costs while preventi...

Harnessing LLMs for Computational Neuroscience with Llama-3–8b-Smith-Neuroscience 27.12.2024

Medium Article: https://medium.com/@jsmith0475/harnessing-large-language-models-for-computational-neuroscience-bridging-biology-and-artificial-448c6ad1bc0f Dr. Jerry Smith's Medium article details the development and application of Llama-3–8b-Smith-Neuroscience, a fine-tuned large language model specializing in computational neuroscience. This model, based on unsloth/llama-3–8b-Instruct-bnb-4bit,...

The Cognitive Economy: Harnessing Neuroscience-Inspired AI to Revolutionize Human Productivity 23.12.2024

Dr. Jerry Smith's Medium article explores the potential of neuroscience-inspired AI to revolutionize workplace productivity. The article contrasts two approaches: using AI for surveillance and control versus employing it to enhance human capabilities and collaboration. Smith argues that AI systems mirroring human thought processes, using symbolic templates and memory coherence, can significantly i...

Advancing Parameter-Efficient Fine-Tuning: A Comparative Analysis of LoRA and QLoRA in Large Language Models 22.12.2024

Medium Article: https://medium.com/@jsmith0475/advancing-parameter-efficient-fine-tuning-a-comparative-analysis-of-lora-and-qlora-in-large-d449f0743481 Dr. Jerry Smith's Medium article explores Low-Rank Adaptation (LoRA) and Quantized Low-Rank Adaptation (QLoRA), parameter-efficient fine-tuning methods for large language models. These techniques significantly reduce the computational resources nee...

The Dark Machinery of Influence - Media PSYOPs and the Quiet War on Consciousness 18.12.2024

Substack Post: https://drjerryasmith.substack.com/p/the-dark-machinery-of-influence Dr. Jerry A. Smith's Substack post, "The Dark Machinery of Influence," argues that media is increasingly used for sophisticated psychological operations (PSYOPs) to manipulate public perception. These PSYOPs, utilizing sensationalism, coordinated messaging, and emotional triggers, aim to control populations through...

Left-of-X Event Detection 17.12.2024

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 inter...

Leveraging Psychology and Sociology in Revenue Growth: A Multi-Agent, Antifragile System Framework 17.12.2024

Dr. Jerry A. Smith's article introduces the Revenue Growth Multi-Agent System (RG-MAS), a novel framework for optimizing revenue growth. RG-MAS integrates psychological and sociological principles to understand human decision-making and collective behavior, creating a dynamic, adaptable system. Key components include a dynamic graph framework, specialized agents analyzing individual and group dyna...

The Quantum Incarnation of Jesus as Transition into Our Linear World 16.12.2024

This Substack post by Dr. Jerry A. Smith explores the Christian theological concept of Jesus' incarnation through the lens of quantum physics. The author proposes that Jesus' transition to the physical world can be viewed as a shift from a higher-dimensional, timeless reality to our four-dimensional one, drawing parallels between theological concepts and quantum phenomena like superposition and en...

Quantum Entanglement and the Holy Spirit 07.12.2024

This podcast explores the potential parallels between quantum entanglement and religious experiences of the Holy Spirit. The author argues that the instantaneous connections in quantum physics, such as entanglement, might offer a scientific framework for understanding seemingly inexplicable spiritual connections across vast distances. The post draws on scientific concepts like quantum superpositio...

Inherent Risks of LLMs A National Security Perspective 21.11.2024

Dr. Jerry Smith's article examines the national security risks of Large Language Models (LLMs). The article highlights three key concerns: data leakage and inference, inherent biases leading to manipulation, and the dual-use nature of LLMs. Smith argues that current safeguards, like red teaming, are insufficient and proposes a comprehensive framework for AI safety, including enhanced data governan...

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