When “Sedans Have Four Doors” Means Five Different Things in RDF

This post is related to my book, Semantic Webs of Meaning. Available on Technics Publications and Amazon. Use the code TP25 for a 25% discount if purchasing on the Technics Publications website. In your journey to building knowledge graphs, this is where knowledge graph people can start to sound like the "Comic book Guy" on the Simpsons … Continue reading When “Sedans Have Four Doors” Means Five Different Things in RDF →

Trailer for My New Book: Semantic Webs of Meaning

Update August 25, 2026: The supplemental GitHub repo for the Semantic Webs of Meaning is live. The supplemental repo has these main purposes: Post material that is too down into the weeds for the book (ex. install instructions, full appendices, code samples, and tutorials) but is mentioned there. Enable me to expand upon and/or clarify … Continue reading Trailer for My New Book: Semantic Webs of Meaning →

Seeing the Hook through the Uncanny Valleys Encountered by an Enterprise

This blog describes the Time Molecules process for the analysis of adversarial situations. That includes frauds, competitive games such as Texas Hold'em Poker, and any other situation where imperfect information is the key asset. Beyond sheer skill, good adversaries rely on stealth, sleight-of-hand, misinformation/disinformation, information overload, mimicry (impersonation), etc. Adversaries paint a false picture for … Continue reading Seeing the Hook through the Uncanny Valleys Encountered by an Enterprise →

AI Agents, Context Engineering, and Time Molecules

Abstract AI agents are not just about producing answers—they are executing processes. If those processes emit events for each step, they can be studied the same way we study human and enterprise workflows. By capturing and analyzing these event streams, we can reconstruct the context behind agent decisions and understand how AI-driven systems actually operate … Continue reading AI Agents, Context Engineering, and Time Molecules →

The Products of System 2 – Prolog in the LLM Era – Spring Break 2026 Special

Abstract In The Assemblage of AI architecture, System 2 is modeled after the deliberate reasoning processes described in human cognition. But rather than focusing on psychology, this article examines what System 2 produces inside an AGI system. The outputs are not merely answers to questions but structured artifacts such as stories, plans, procedures, and models. … Continue reading The Products of System 2 – Prolog in the LLM Era – Spring Break 2026 Special →

An Interlude Before the Third Act of “The Assemblage of AI”

In the conclusion of my last blog, Chains of Unstable Correlations, I wrote: When you work around experts long enough, you notice that experts sometimes (usually?) forget what isn’t obvious to non-experts. Conversely, people in the field often see things experts overlook because they live inside the operational texture of the system. After a conversation … Continue reading An Interlude Before the Third Act of “The Assemblage of AI” →

Chains of Unstable Correlations

Introduction Like it or not, competition is arguably the biggest force affecting how things in our world work, in terms of both evolution and society. Without competition among genes, at the least, life on Earth wouldn't be as it is today. And for better or worse, societal competition at various levels (individual, tribes/cities, countries) wouldn't … Continue reading Chains of Unstable Correlations →

Explorer Subgraph—The Dynamic Cartography of Relation Space

Abstract This blog introduces the Explorer Subgraph, a navigational knowledge structure designed to support System ⅈ (the ⅈ as in the imaginary number). I introduced System ⅈ a few weeks ago in my blog, System ⅈ: The Default Mode Network of AGI. The Explorer Subgraph is a background, always-on layer of intelligence that operates below conscious … Continue reading Explorer Subgraph—The Dynamic Cartography of Relation Space →

System ⅈ: The Default Mode Network of AGI

Abstract: TL;DR Preface—The System ⅈ Origin Story For my AI projects back in 2004, SCL and TOSN, the main architectural concept centered on how I imagined our conscious and subconscious work. In my notes, I referred to the conscious as the "single-threaded consciousness". The single-threaded consciousness made sense to me because we have just one … Continue reading System ⅈ: The Default Mode Network of AGI →