PODCAST

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

Dr. Jerry A. Smith

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

technology tech news

All Episodes

00:14:51

The Miniaturization of Intelligence: A New Chapter in AI

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

2025/02/16

Medium Article: https://medium.com/@jsmith0475/the-miniaturization-of-intelligence-a-new-chapter-in-ai-898befcfbb96 This article discusses the growing trend of Large Language Model (LLM) distillation, a method of creating smaller, more efficient AI models. It explains how these distilled models are trained using a "teacher-student" framework to replicate the performance of larger models with reduced computational demands. The author presents various distillation techniques, including ranking loss

00:17:34

Fine-Tuning and Distillation: Optimizing Large...

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

2025/02/09

Medium Article: https://medium.com/@jsmith0475/a-detailed-technical-comparison-of-fine-tuning-and-distillation-in-large-language-models-cccbe629dcba The article compares two primary strategies for optimizing Large Language Models (LLMs): fine-tuning and distillation. Fine-tuning adapts a pre-trained model to a specific task, while distillation compresses a large model into a smaller, more efficient one. The source explores the architectures, training dynamics, and trade-offs associated with each

00:17:43

AI in Drug Discovery is Evolving - Are You Ready for...

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

2025/02/07

Medium Article: https://medium.com/@jsmith0475/ai-in-drug-discovery-is-evolving-are-you-ready-for-agentic-ai-1e2adb51a891 Dr. Smith's article discusses the evolution of AI in drug discovery, contrasting traditional, passive AI with the emerging "Agentic AI." This new form of AI actively executes tasks, learns from mistakes, and makes decisions independently, unlike its predecessors which primarily predict and assist. Agentic AI is portrayed as a transformative force capable of accelerating drug

00:24:03

Research Note: Agentic Agents in Neuropsychiatric...

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

2025/02/06

Medium Article: https://medium.com/@jsmith0475/research-note-agentic-agents-in-neuropsychiatric-research-0291bb9fdf0c Agentic AI is emerging as a promising tool in neuropsychiatric research, offering potential for personalized treatment, efficient clinical trials, and real-time patient monitoring. These autonomous systems can analyze complex data to identify patterns and make decisions, leading to tailored interventions and improved outcomes. However, the integration of agentic AI raises ethical

00:13:42

The Efficiency of Thought: How Mixture of Experts...

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

2025/01/29

The article explores Mixture of Experts (MoE) models, a new architecture in AI that prioritizes computational efficiency by activating only a small subset of its parameters for any given task. This "forgetting" of unused knowledge, while seemingly a limitation, is presented as a key feature enabling scalability to massive model sizes like GPT-4. However, the article also cautions against the potential downsides, such as the development of an "expert oligarchy" where some parts of the model dominate,

00:08:53

DeepSeek and the Dilemma of Thinking Machines

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

2025/01/26

Medium Article: https://medium.com/@jsmith0475/deepseek-and-the-dilemma-of-thinking-machines-ca5254d51e91 The article discusses the response of DeepSeek-R1, an advanced AI model, to a seemingly simple request: to choose a number between 1 and 100 that is not obvious and present it in a list. DeepSeek-R1's response was not a simple answer but a detailed exploration of the ambiguity within the instruction, demonstrating the machine's capacity for in-depth reasoning and its struggle to balance

00:14:14

StarGate: America's AI Supremacy

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

2025/01/21

Medium Article: https://medium.com/@jsmith0475/stargate-americas-500-billion-leap-into-ai-supremacy-1baabcf76ee4 Dr. Jerry Smith's article details the StarGate Project, a proposed $500 billion US initiative aiming for AI supremacy. The plan involves massive infrastructure development, public-private partnerships (with companies like OpenAI), and deregulation to accelerate AI advancements. However, the article also addresses significant challenges, including ethical concerns, environmental impact,

00:14:50

AI's Cognitive Impact: Offloading and Critical Thinking

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

2025/01/20

Medium Article: https://medium.com/@jsmith0475/the-dual-edged-sword-of-ai-tools-balancing-cognitive-offloading-and-critical-thinking-in-an-469d19d923f4 Dr. Jerry Smith's article examines the impact of AI tools on human cognition, focusing on the trade-off between efficient cognitive offloading and the preservation of critical thinking skills. The article explores how over-reliance on AI could erode cognitive abilities, particularly in younger generations, and proposes strategies for educators,

00:12:09

The Evolving Paradigm of Artificial Intelligence:...

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

2025/01/15

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 philosophical implications of increasingly autonomous AI, highlighting the transition from predictable,

00:15:34

Building Human-Facing Agentic Systems: The Psychology...

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

2025/01/08

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

00:22:39

Best Practices for Fine-Tuning Large Language Models...

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

2024/12/28

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 preventing knowledge loss. It provides a first-principles approach, outlining key strategies, including

00:15:55

Harnessing LLMs for Computational Neuroscience with...

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

2024/12/27

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, uses techniques like LoRA and QLoRA for efficient processing and offers domain-specific expertise in

00:15:13

The Cognitive Economy: Harnessing...

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

2024/12/23

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 improve efficiency and worker satisfaction. However, he also warns of the ethical risks of biased AI and

00:15:38

Advancing Parameter-Efficient Fine-Tuning: A...

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

2024/12/22

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 needed for fine-tuning, democratizing AI development by making it accessible to researchers and

00:21:21

The Dark Machinery of Influence - Media PSYOPs and...

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

2024/12/18

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 fear and distraction. The post outlines ten key elements of PSYOPs and provides the New Jersey drone

00:15:50

Leveraging Psychology and Sociology in Revenue...

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

2024/12/17

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 dynamics, and continuous feedback loops enabling the system to learn and improve. The system's antifragility

00:26:05

Left-of-X Event Detection

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

2024/12/17

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,

00:17:45

The Quantum Incarnation of Jesus as Transition into...

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

2024/12/16

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 entanglement. The essay argues that these parallels offer a novel perspective on the incarnation,

00:14:31

Quantum Entanglement and the Holy Spirit

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

2024/12/07

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 superposition and the interconnectedness of quantum particles to suggest a more profound, unified reality

00:09:18

Inherent Risks of LLMs A National Security Perspective

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

2024/11/21

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 governance, mandated transparency, and international collaboration. This framework aims to mitigate risks while

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

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