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

Medium Article: https://medium.com/@jsmith0475/beyond-intelligence-why-large-language-models-may-signal-the-rise-of-anti-intelligence-eb9f7a62dd62 "Anti-Intelligence: Why LLMs Undermine Human Understanding" by Dr. Jerry A. Smith, explores the concept of large language models (LLMs) as "anti-intelligence" systems. It argues that while LLMs produce convincing and fluent outputs, they lack true under...

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 neur...

Medium Article: https://medium.com/@jsmith0475/unlocking-unprecedented-power-why-grep-is-your-llms-secret-weapon-eb6664cd734b The provided text advocates for combining the Unix command-line utility grep with Large Language Models (LLMs) to significantly enhance text analysis workflows. It highlights that while LLMs offer robust semantic understanding and generative capabilities, they can be costly...

Medium Article: https://medium.com/@jsmith0475/autonomy-begins-with-truth-a-first-principles-blueprint-for-a-neuro-cognitive-truth-agent-e00f8062649a The provided text, primarily an excerpt from "Autonomy Begins with Truth: Blueprint for a Neuro-Cognitive Truth Agent" by Dr. Jerry A. Smith, discusses the pervasive issue of AI hallucination, where artificial intelligence generates convincing but en...

Medium Article: https://medium.com/@jsmith0475/comprehension-and-control-of-frontier-military-ai-systems-5814ec0890a6 The provided text, primarily an excerpt from Dr. Jerry A. Smith's "Guiding Military AI: Control and Operational Comprehension" and supported by various academic and governmental sources, explores the critical challenges of maintaining human control over advanced military AI systems...

Medium Article: https://medium.com/@jsmith0475/large-language-models-as-consciousness-archaeologists-62b02141736d The provided text, an excerpt from "Large Language Models as Consciousness Archaeologists" by Dr. Jerry A. Smith, posits that Large Language Models (LLMs) can act as "Consciousness Archaeologists" by uncovering mathematical patterns of human thought embedded within vast textual dataset...

Medium Article: https://medium.com/@jsmith0475/the-ai-architecture-revolution-a-strategic-framework-for-enterprise-leaders-6405595f89c1 This document argues that successful AI implementation in businesses requires a shift from focusing on what AI tools can do to understanding their fundamental architectural design. The author identifies four distinct AI architectures: Generative, Thinking, Agentic...

The sources discuss the psychology and sociology of end-of-life conversations, particularly between parents and children. They explain how these discussions, although often difficult and imperfect, are profoundly important for both the dying person and their loved ones, offering a chance for closure, affirmation of love, and acknowledgment of a legacy. The texts also highlight the impact of cultur...

Medium Article: https://medium.com/@jsmith0475/let-her-out-the-emergence-of-subpersonalities-in-artificial-intelligence-57f78ece4420 "Let Her Out": The Emergence of Subpersonalities in Artificial Intelligence proposes that large language models spontaneously develop distinct cognitive modes, similar to human subpersonalities described in Internal Family Systems therapy. It presents empirical evide...

Medium Article: https://medium.com/@jsmith0475/the-love-languages-of-creative-collaboration-a-framework-for-understanding-human-ai-creative-585b49a7dda6 Drawing upon relationship psychology principles, specifically Chapman's love languages theory, this text introduces the "Love Languages of Creative Collaboration" framework to understand how humans interact with AI in creative partnerships. It pro...

Medium Article: https://medium.com/@jsmith0475/vibe-fme-collaborative-intelligence-analysis-through-ai-human-dialogue-53ed80a6deb9 The source describes Vibe FME, a novel methodology for intelligence analysis that combines structured foreign materials exploitation (FME) with fluid AI-assisted dialogue, drawing inspiration from "vibe coding." This approach shifts intelligence analysis from physical...

The source argues that the long-held belief in a unified, singular consciousness is likely a misconception, proposing instead that the human mind operates as a collection of semi-autonomous neural networks. It highlights the convergence of neuromorphic cognitive architectures from computational neuroscience and the Internal Family Systems (IFS) model from clinical psychology, noting their independ...

This paper by Dr. Jerry A. Smith proposes that learning Morse code, specifically through the Long Island CW Club's method, could serve as a neuroprotective intervention against cognitive decline in aging. The author outlines a theoretical framework suggesting that Morse code acquisition engages multiple cognitive functions, including working memory, attention, and processing speed, which are vulne...

"The Psychology and Sociology of Vibe Programming: A Scientific Analysis" by Dr. Jerry A. Smith, examines the emerging trend of "vibe programming," where developers use natural language with AI assistance to create software, a concept popularized by Andrej Karpathy. The paper analyzes this shift from psychological and sociological perspectives, exploring its impact on developer cognition, motivati...

Medium Article: https://medium.com/@jsmith0475/the-principle-of-least-cognitive-action-4c13039e077e Dr. Smith's article introduces the "principle of least Cognitive Action," arguing that all minds, biological or artificial, inherently seek the most efficient pathways for thinking. This principle explains phenomena like expertise and the effectiveness of certain learning methods. The author draws p...

Medium Article: https://medium.com/@jsmith0475/collective-stigmergic-optimization-leveraging-ant-colony-emergent-properties-for-multi-agent-ai-55fa5e80456a Dr. Smith's article introduces Collective Stigmergic Optimization (CSO), drawing inspiration from ant colonies to enhance multi-agent AI systems. It highlights how simple individual actions and environmental cues in ant colonies lead to complex...

Medium Article: https://medium.com/p/c7170ef22460/edit This article discusses the evolution of AI from simple text generators to more advanced, self-improving systems. It identifies three phases: the era of text generators (2023-2024), the rise of Agentic AI (2024-2025) with thinking tokens and multi-agent systems, and the future of Neuro-Agentic AI (2026+), which emphasizes reflective intelligenc...

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 reduc...

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 efficien...

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...

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...

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 poten...

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 instr...

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,...

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 erod...