Introduction Like it or not, competition is arguably the biggest force affecting how things in our world works, 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
The Complex Game of Planning
This is my final post for 2025, just in time for your holiday-season reading, ideally from a comfy chair next to the fireplace. It's food for thought for your 2026 New Year resolutions. So toss out that tired old "'Twas the Night Before Christmas" and read this new tale to the kids and grandkids. ✨🎄🔥📚☕❄️🎁 … Continue reading The Complex Game of Planning
Conditional Trade-Off Graphs – Prolog in the LLM Era – AI 3rd Anniversary Special
Skip Intro. 🎉 Welcome to the AI “Go-to-Market” 3rd Anniversary Special!! 🎉 Starring ... 🌐 The Semantic Web ⚙️ Event Processing 📊 Machine Learning 🌀 Vibe Coding 🦕 Prolog … and your host … 🤖 ChatGPT!!! Following is ChatGPT 5's self-written, unedited, introduction monologue—in a Johnny Carson style. Please do keep reading because this blog … Continue reading Conditional Trade-Off Graphs – Prolog in the LLM Era – AI 3rd Anniversary Special
Long Live LLMs! The Central Knowledge System of Analogy
Situation Over the past few months there has been a trend to move from referring to "large language models" (LLM) to just "language models". The reason for that is the recognition that small language models (SLM) have clear advantages under certain situations. So "language model" is inclusive of both. And of course, as soon as … Continue reading Long Live LLMs! The Central Knowledge System of Analogy
Context Engineering and My Two Books
“Context engineering” is emerging as the evolutionary step over prompt engineering. It's the deliberate design of everything an AI system can access before it produces an answer. The goal is to make it work on the right problem, with the right facts, under the right constraints. That is, by mitigating "context drift" as the AI … Continue reading Context Engineering and My Two Books
Stories are the Transactional Unit of Human-Level Intelligence
The transactional unit of meaningful human to human communication is a story. It's the incredibly versatile, somewhat scalable unit by which we teach each other meaningful experiences. Our brains recorded stories well before any hints of our ability to draw and write. We sit around a table or campfire sharing stories, not mere facts. We … Continue reading Stories are the Transactional Unit of Human-Level Intelligence
Reptile Intelligence: An AI Summer for CEP
Complex Event Processing AI doesn’t emerge from a hodgepodge of single-function models—a decision tree that predicts churn, or a neural net that classifies an image, which only see one quality of the world. The AGI-level intelligence that's being frantically chased requires massive, organized integration of learned rules. That is, a large, heterogenous number of composed … Continue reading Reptile Intelligence: An AI Summer for CEP
The Ghost of OLAP Aggregations – Part 2 – Aggregation Manager
This is Part 2 of a 3-part series where I make the case that pre-aggregated OLAP is essential in this era of AI. The intent of this post is to describe just enough of how a pre-aggregated OLAP engine works for those who are unfamiliar with this technology: Those who have joined the business intelligence … Continue reading The Ghost of OLAP Aggregations – Part 2 – Aggregation Manager
Soft Coded Logic 