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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

00:14:53

Multi-Dimensional AI Analysis for Pharmaceutical...

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

2026/01/16

Medium Article: https://medium.com/@jsmith0475/multi-dimensional-ai-analysis-for-pharmaceutical-stability-reports-beyond-sequential-review-926319112a16The author, Dr. Jerry A. Smith, introduces a novel AI framework designed to improve pharmaceutical stability reports by moving beyond simple, linear compliance checklists. Traditional automated reviews often miss why a document is rejected because they ignore the simultaneous tensions between regulatory rules, scientific rigor, and specific client

00:14:44

The 100x Cost Reduction Reshaping Enterprise AI

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

2026/01/14

Medium Article: https://medium.com/@jsmith0475/the-100x-cost-reduction-reshaping-enterprise-ai-0e2779fca872This article, by Dr. Jerry A. Smith, explores a fundamental transition in the artificial intelligence industry from massive, general-purpose models toward specialized ecosystems of smaller, more efficient tools. Driven by a 100x reduction in operational costs, enterprises are increasingly adopting Small Language Models (SLMs) that rival the performance of larger counterparts on specific tasks

00:14:54

The Scientific Method for Smarter AI - How Orthogonal...

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

2026/01/10

Medium: https://medium.com/@jsmith0475/the-scientific-method-for-smarter-ai-how-orthogonal-arrays-can-transform-agentic-goal-achievement-41f43d06d92fDr. Jerry A. Smith introduces Orthogonal Agentic Architecture, a scientific framework designed to optimize complex AI systems by overcoming the "curse of dimensionality." Drawing on industrial statistical techniques such as orthogonal arrays and the Taguchi Method, the approach enables developers to test multiple variables simultaneously with a

00:15:49

The Hidden Toll - Neuro-Cognitive Harm from Sustained...

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

2026/01/08

Medium Article: https://medium.com/@jsmith0475/the-hidden-toll-neuro-cognitive-harm-from-sustained-manual-verification-work-c5788b210ac9?postPublishedType=initial Dr. Jerry A. Smith argues that sustained manual numeric verification is a cognitively impossible task that inflicts long-term neurological and physiological damage on workers. The author explains that constant exposure to high-stakes, repetitive data checking triggers chronic stress and burnout, leading to measurable structural changes in

00:12:22

The Neuro-Cognitive Case for Frontier AI in Numeric...

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

2026/01/08

Medium Article: Dr. Jerry A. Smith argues that manual numeric data verification is fundamentally unreliable due to inherent human cognitive limitations, such as fatigue, memory constraints, and confirmation bias. While traditional automation handles basic formatting, it lacks the semantic understanding necessary to catch complex, contextual errors. Frontier AI is presented as a structural necessity because it maintains consistent attention and processes vast amounts of information without the

00:12:29

The 2026 AI Landscape: Six Defining Trends and...

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

2026/01/07

Industry research indicates that by 2026, the competitive landscape of artificial intelligence will shift from raw model performance to practical application layer integration. As high-end models become standardized commodities, users should prioritize structured workflows over fully autonomous agents and focus on providing comprehensive data context rather than perfect prompting. The technical divide is expected to narrow, enabling non-technical professionals to perform complex tasks such as coding

00:14:09

What Holds an AI Together?

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

2025/12/03

Medium Article: https://medium.com/@jsmith0475/what-holds-an-ai-together-063fcb26c876"What Holds an AI Together? The case for vertical causality in machine intelligence," by Dr. Jerry A. Smith, argues that contemporary artificial intelligence systems are fundamentally incomplete because they rely solely on horizontal causality, which governs the sequential flow of actions and feedback across time. This reliance on the temporal axis results in systems that are locally competent but lack global

00:15:40

When All Your AI Agents Are Wrong Together

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

2025/11/24

Medium Article: https://medium.com/@jsmith0475/when-all-your-ai-agents-are-wrong-together-c719ca9a7f74?postPublishedType=initial"When All Your AI Agents Are Wrong Together," by Dr. Jerry A. Smith, discusses advanced architectures for achieving million-step reliability in Large Language Model (LLM) agents, building upon the foundational success of the existing MAKER system. Although MAKER demonstrates long-horizon stability using probabilistic voting, which relies on logarithmic cost scaling against

00:12:36

The Devil’s Advocate Architecture-How Multi-Agent AI...

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

2025/11/21

Medium Article:"The Devil’s Advocate Architecture," by Dr. Jerry A. Smith, introduces a novel framework for designing highly reliable artificial intelligence (AI) by mirroring principles of human psychological and organizational decision-making. The core argument is that modern AI fails due to overconfidence and a lack of doubt, which the proposed multi-agent system counters through structured conflict and debate. This architecture employs three distinct roles—the Worker (proposing a solution), the

00:17:17

The Math That Kills Growth - Solving Supply Chain...

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

2025/11/20

Medium Article: https://medium.com/@jsmith0475/the-math-that-kills-growth-how-we-built-an-ai-system-that-solves-manufacturings-50m-dcdf6e352124 "The Math That Kills Growth" describes a framework called VALORE, a multi-agent AI system designed to solve the Coordination Paradox that stifles growth in scaling manufacturing companies. The author, Dr. Jerry A. Smith, explains that as manufacturing operations grow, coordination complexity increases exponentially, leading to a collapse in decision velocity

00:14:54

When Machines Learn to Negotiate: Reimagining...

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

2025/11/18

Medium Article: https://medium.com/@jsmith0475/when-machines-learn-to-negotiate-reimagining-manufacturing-coordination-through-multi-agent-ai-fb6a60fc17eb WebApp: https://main.d2oyp76axtxaek.amplifyapp.com This article, by Dr. Jerry A. Smith, outlines a theoretical framework for revolutionizing complex manufacturing coordination, specifically within the regulated medical device sector, by using Multi-Agent AI (Artificial Intelligence). The core problem addressed is the exponential coordination

00:11:24

Your AI Isn’t Intelligent — It’s Just Really Good at...

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

2025/11/17

Medium Article: https://medium.com/@jsmith0475/your-ai-isnt-intelligent-it-s-just-really-good-at-pretending-ac2fe872e838?postPublishedType=initial The source, an excerpt titled "From AI Simulation to Synthetic Intelligence," argues that current Artificial Intelligence (AI) models, such as Large Language Models (LLMs), are fundamentally limited because they operate as sophisticated simulations based on probabilistic pattern matching rather than genuine cognition. Authored by Dr. Jerry A. Smith, the

00:14:54

We Built a 10-Agent AI System That Monitors Our $225K...

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

2025/11/10

Medium: https://medium.com/@jsmith0475/we-built-a-10-agent-ai-system-that-monitors-our-225k-project-in-real-time-heres-what-we-learned-1f0de27ca852"We Built a 10-Agent AI System That Monitors Our $225K Project in Real-Time - Here's What We Learned," written by Dr. Jerry A. Smith, detailing the development and performance of a specialized AI system. This system utilizes ten distinct, collaborating AI agents to continuously monitor a $225,000 consulting project by synthesizing data from multiple

00:19:12

Your AI Might Be Thinking in 17 Dimensions. You’re...

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

2025/11/07

Medium: https://medium.com/@jsmith0475/your-ai-might-be-thinking-in-17-dimensions-youre-only-using-2-1a2a56131a1b"Your AI Might Be Thinking in 17 Dimensions. You’re Only Using 2." presents a conceptual framework and research agenda by Dr. Jerry A. Smith, proposing that the popular chain-of-thought prompting method, which forces AI to "think step-by-step," severely limits the system's native capabilities. The author argues that AI models operate in high-dimensional embedding spaces, handling

00:12:56

Your Brain Isn't Built for Meetings. Here's How AI...

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

2025/11/05

"Your Brain Isn't Built for Meetings. Here's How AI Fixes That" provides an in-depth analysis of how Artificial Intelligence (AI) can address the inherent neurological challenges of modern professional meetings, arguing that human working memory is insufficient for the demands of multi-tasking and note-taking. Authored by Jerry A. Smith, the text synthesizes neuroscience research and cognitive theory to establish that typical meeting behavior results in cognitive overload and poor information

00:15:43

How AI Learned to Write Perfect Pharmaceutical Protocols

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

2025/10/28

Medium: https://medium.com/@jsmith0475/how-ai-learned-to-write-perfect-pharmaceutical-protocols-4487ba139f72"How AI Learned to Write Perfect Pharmaceutical Protocols," by Dr. Jerry A. Smith, presents a research paper detailing a novel Artificial Intelligence (AI) architecture designed to generate analytical protocols for pharmaceutical testing that comply with Good Manufacturing Practice (GMP) regulations. This system addresses the slow, expensive process of human-led method development by using a

00:16:00

How AI Just Cracked Pharmaceutical Method Development...

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

2025/10/23

Medium Article: https://medium.com/@jsmith0475/how-ai-just-cracked-pharmaceutical-method-development-in-6-weeks-instead-of-12-months-492efc9a23a2This article from an article by Dr. Jerry A. Smith that introduces a novel solution for achieving deterministic AI outputs essential for drug development regulation. It explains that pharmaceutical method development, a process currently taking up to twelve months, is stalled by the FDA's requirement for identical, reproducible results from AI, which

00:20:14

ChatGPT Can’t Write FDA-Compliant Reports. Here’s...

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

2025/10/17

Medium Article: https://medium.com/@jsmith0475/chatgpt-cant-write-fda-compliant-reports-here-s-what-can-e2154b82c537"Auditable AI for FDA-Compliant Reports: Cognitive Anchoring,"by Dr. Jerry A. Smith, argues that traditional AI models like ChatGPT cannot meet the Food and Drug Administration's (FDA) requirements for reproducible and predictable documentation in pharmaceutical quality assurance (QA). Dr. Jerry A. Smith identifies the current system of manual report generation as a significant

00:17:34

ChatGPT Is Too Smart for the FDA — Until Now

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

2025/10/15

Medium Article: https://medium.com/@jsmith0475/chatgpt-is-too-smart-for-the-fda-until-now-8beb59745153 "ChatGPT Is Too Smart for the FDA — Until Now," by Dr. Jerry A. Smith, addresses the critical problem of non-reproducibility in large language models (LLMs), which prevents their adoption in highly regulated fields like pharmaceutical manufacturing. The author introduces cognitive anchoring, a novel gauge-theoretic framework that stabilizes transformer architectures by synchronizing their parallel

00:15:59

Your Meeting Notes Capture Everything Said — And Miss...

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

2025/10/13

Medium: https://medium.com/@jsmith0475/your-meeting-notes-capture-everything-said-and-miss-everything-that-matters-b808fa928998 "Making Invisible Organizational Dynamics Visible," by Dr. Jerry A. Smith, argues that traditional analysis of meeting notes fails because it captures what was said but misses the invisible psychological and sociological forces that truly shape organizational decisions and lead to predictable failures. It identifies six key invisible forces, such as psychological safety,

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

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