Intelligence Field — Is Intelligence Inside Individuals, or Inside the Field?
Chinoba — Runtime Society and Coordination Systems
For a long time, we have thought of intelligence as a property o...
What the AI Era Needs Is Not More Knowledge, but Trust Infrastructure
Chinoba — Runtime Society and Coordination Systems
Introduction
Based on my recent presentation on Trust Infrastru...
From Information to Meaning to Purpose — Beyond Knowledge Infrastructure
Chinoba — Runtime Society and Coordination Systems
For a long time, we have assumed that intelligence is fundamenta...
Signal Normalization Layer — Transforming Raw Data into Decision-Ready Signals
Chinoba — Runtime Society and Coordination Systems
Just as traditional operating systems provide a foundation for s...
Trust Entropy — Why Organizations Become Chaotic in the Age of AI
Chinoba — Runtime Society and Coordination Systems
The Paradox of AI
The rise of generative AI has enabled organizat...
DTM Use Case 3: When “Past Success” Misleads Present Decisions ## — The Danger of Operational Assumption Drift in Autonomous Driving —
In recent years, generative AI, autonomous driving AI, and multi-agent systems have been advancing rapidly.
However, ...
Why Wittgenstein Matters Again in the Age of AI — From Language Games to Intelligence Fields
Why Are We Asking These Questions Again?
With the rise of generative AI, we find ourselves confronting some very old ...
Knowledge Flow — Knowledge Is Not Storage, but Flow From Knowledge Storage to Intelligence Emergence
Knowledge Is Not Storage, but Flow
For a long time, we have thought of knowledge as something to be accumulated.
Boo...
DTM Adoption Steps for Manufacturing — Evolving from “Search AI” to a Decision Support Infrastructure —
The spread of generative AI and RAG (Retrieval-Augmented Generation) is rapidly accelerating the adoption of AI in the m...
How Should We Evaluate Multi-Agent Systems?
As generative AI continues to evolve, AI is moving beyond standalone models toward multi-agent systems, where multiple A...