Parents Still Matter in the Machine Era
A line in the April 2026 issue of IEEE Computer stopped me mid-read. N. Kshetri and J. Voas point out that for earlier generations, parents, teachers, clergy, and professors were the primary …
19 pages
AI
The Hidden Mathematics of Multi-Agent AI: Why Agent Communication Does Not Scale Linearly
A simple counting formula explains why fully connected multi-agent systems become hard to control long before they become impressive.
Edge AI: Why Intelligence Is Moving to the Boundary — and What It Takes to Get There
There is a quiet architectural shift happening beneath the surface of the AI conversation. While the public discourse fixates on data center GPU clusters and trillion-parameter models, a different …
Feasibility Assessment: Q-Learning Suitability for Organizational Decision Systems
Q-learning for production decision systems: when tabular or deep Q-networks (DQN) make sense, state–action limits, stationarity, exploration cost, convergence risks—and when to say no. Reinforcement …
Syntactic Fluency, Semantic Fragility: Why AI Masters Form but Stumbles on Meaning
Your favourite AI can compose a flawless sonnet, generate syntactically perfect ISO 8583 messages, and produce compilable C++ on the first attempt. Ask it whether that ISO message actually makes …
Why Parents Still Matter in the AI Era
For most of us, the first things we learned did not come from a feed or a model. They came from people. Parents taught us how to speak, how to behave, how to apologize, how to tell right from wrong. …
Multi-Agent Systems Scale Vertically. They Need to Scale Horizontally.
This post continues the ideas explored in Part I: Super Agents and Multi-Agent Communication and Part II: Swarm Intelligence. Those posts covered how agents coordinate within a workflow. This one asks …
Swarm Intelligence: The Opposite Architectural Bet
This is Part II of a two-part series on multi-agent AI architecture. Part I covered the super agent pattern: centralized orchestration, structured communication, and a single source of truth. This …
Super Agents and Multi-Agent Communication: Architecture That Actually Scales
This is Part I of a two-part series on multi-agent AI architecture. This post covers centralized orchestration. Part II explores the opposite approach: swarm intelligence. I’ve been reading a …
Reasoning Models and Deep Reasoning in LLMs: Chain-of-Thought, Tree of Thoughts, and Test-Time Compute
Language models don't reason. Not in the way humans do.