Looking Inside the Function: From Neural Networks to Enterprise Intelligence

A fascinating piece of research from MIT CSAIL recently caught my attention: Sparks of Weight-Space Programming: LLMs Can Natively Read & Write Neural Network Weights, published November 2, 2026, by Rikiya Takehi, Jayden Teoh, Alex Zhang, and Omar Khattab. The researchers explored whether an advanced LLM, GPT-6 Astra, could examine the weights of a neural … Continue reading Looking Inside the Function: From Neural Networks to Enterprise Intelligence →

Eliciting Creative Questions from AI for Abductive Calculation

TL;DR The central premise is that creative questions often arise from connecting knowledge across seemingly unrelated domains. LLMs offer extraordinary breadth across documented human knowledge. People contribute diverse, often undocumented experience distributed among individuals, teams, and organizations. Knowledge graphs provide explicit, traversable relationships, while the Insight Space Graph (ISG) and Tuple Correlation Web (TCW) capture … Continue reading Eliciting Creative Questions from AI for Abductive Calculation →

Stories, Analogies, Metaphors—the Layer After LLMs

I learned today that Patrick Stewart passed away a couple of days ago, on Oct 28. So this blog also serves as a tribute to the actor who played one of my favorite characters. TL;DR: of the Blog: Human intelligence does more than accumulate facts. We package experience into stories, compress stories into references and … Continue reading Stories, Analogies, Metaphors—the Layer After LLMs →

Updating Decision Data Points: Why a Fast Semantic Layer Is Part of the Intelligence Loop

TL;DR When I wrote much of Enterprise Intelligence in 2023, the rapid rise of AI made it clear to me that enterprises needed to quickly start planning for something beyond dashboards and reports: an architecture capable of accumulating and using intelligence across the business. That opened the door wider for the Insight Space Graph (ISG), … Continue reading Updating Decision Data Points: Why a Fast Semantic Layer Is Part of the Intelligence Loop →

Reaching from the Realm of Information into the Realm of Knowledge

This blog is based on a "deleted scene" but is also an update to the technology mentioned in my book, Semantic Webs of Meaning (available on Technics Publications and Amazon)—specifically Chapter 8 on scaling query performance for a knowledge-graph deployment. In that chapter I did not talk about the contribution a performance-oriented semantic layer (ex. … Continue reading Reaching from the Realm of Information into the Realm of Knowledge →

Symbols Travel, Meaning Is Rebuilt

TL;DR (Sort of) Since this TL;DR is relatively long for a TL;DR, here is the elevator pitch: Humans and LLMs live largely in rich, subsymbolic internal worlds. Knowledge graphs live in an explicit, serialized world. Intelligence increasingly depends on moving between the two—and continually checking that what was reconstructed still corresponds to what we meant. … Continue reading Symbols Travel, Meaning Is Rebuilt →

KPI-First Probing of the Tuple Correlation Web

Note: From the “deleted scenes” of my book, Enterprise Intelligence, Technics Publications, 2024. This addresses a layered approach to building a Tuple Correlation Web (TCW), which can be massive in its full, enterprise-scoped manifestation. The TCW is primarily an Enterprise Intelligence structure, but it also belongs within the larger idea of my new book, Semantic Webs of … Continue reading KPI-First Probing of the Tuple Correlation Web →

Insight Function Array: How the Insight Space Graph Notices, Remembers, and Connects

My 2024 book, Enterprise Intelligence, describes the Insight Space Graph (ISG), a graph database that records, maps, and connects the simple insights exposed through the everyday work of Business Intelligence (BI) analysts. Towards the goal of resolving business problems, analysts continually explore enterprise data through tools such as Tableau and Power BI, producing line graphs, … Continue reading Insight Function Array: How the Insight Space Graph Notices, Remembers, and Connects →

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 →

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 →