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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.

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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,

00:15:51

Why Your AI Agents Keep Failing - And What Synthetic...

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

2025/10/07

Medium Article: https://medium.com/@jsmith0475/why-your-ai-agents-keep-failing-and-what-synthetic-intelligence-can-do-about-it-416f035266bc"Synthetic Intelligence: Why AI Agents Fail and What Comes Next," by Dr. Jerry A. Smith, details the widespread failure of current enterprise AI agents, citing failure rates as high as 95% for pilots and high operational costs due to unsustainable energy consumption. The author argues that transformer-based AI is fundamentally limited because it can only respond

00:15:03

We Solved AI's Reproducibility Crisis by Treating It...

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

2025/10/06

Medium Article: https://medium.com/@jsmith0475/we-solved-ais-reproducibility-crisis-by-treating-it-like-a-physics-problem-8936aed52923 The article "Cognitive Anchoring," by Dr. Jerry A. Smith, details a novel solution to the reproducibility crisis in large language models (LLMs) by treating the issue as a physics coordination problem. The core proposal, cognitive anchoring, uses principles from gauge theory to synchronize the attention heads within transformer models, which otherwise drift and

00:16:48

The 53% Problem: What Traditional NIL Valuations Miss

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

2025/10/05

Medium Article: https://medium.com/@jsmith0475/the-53-problem-what-traditional-nil-valuations-miss-2ab9fd53d595The article "The 53% Problem: Cultural Factors in NIL Valuation," by Dr. Jerry A. Smith, argues that traditional Name, Image, and Likeness (NIL) athlete valuation models are fundamentally flawed because they fail to account for cultural factors that contribute to 53% of the variance in market value. The core premise is that characteristics such as gender, race, institutional prestige, and

00:24:21

Why Current NIL Valuations Fail — and How Multi-Agent...

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

2025/10/02

Medium Article: https://medium.com/@jsmith0475/why-current-nil-valuations-fail-and-how-multi-agent-ai-fixes-them-f1652a0e887c The article, by Dr. Jerry A. Smith, describes VALORE, a novel multi-agent artificial intelligence system designed to accurately value a collegiate athlete's Name, Image, and Likeness (NIL) influence, correcting for the failures of current surface-level metrics. This system employs seven specialized thinking transformer models—such as a Social Media Analysis Agent and a

00:13:27

AI That Thinks Backward: The Rise of Defensive...

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

2025/10/01

Medium Article: https://medium.com/@jsmith0475/ai-that-thinks-backward-the-rise-of-defensive-intelligence-c0260765a2ed The academic paper, by Dr. Jerry A. Smith, introduces "Defensive Intelligence" as a new architectural principle for agentic AI, arguing that inversion reasoning—explicitly modeling and avoiding failure modes—significantly improves system robustness over traditional goal-oriented methods. It proposes four technical patterns, such as Adversarial Attention Heads and Failure Mode

00:20:10

Can You Trust an AI If You Don’t Know Who Taught It?

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

2025/09/20

Medium: https://medium.com/@jsmith0475/can-you-trust-an-ai-if-you-dont-know-who-taught-it-b559ecbdeb38The article, by Dr. Jerry A. Smith, examines the critical threat posed by "subliminal learning" in artificial intelligence, particularly within the pharmaceutical industry. Subliminal learning is defined as the invisible transmission of biases and behavioral traits between AI models through non-semantic data, such as punctuation or number sequences, which traditional safety filters cannot detect

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

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