Systems Thinking on AIBussin — AI applications, systems and books

The Moment: Intelligence beyond context

Fri, 19 Jun 2026 14:49:56 +0100

Most AI systems answer and move on. The next step is different: preserve the reasoning state, replay it, measure whether it improves, and keep only what survives verification.

Summary

Most AI workflows still treat intelligence as a single pass.

You ask a question. The model answers. Maybe you ask it to try again. Maybe you add more context. Maybe you save something to memory.

But the basic shape remains the same:

🎂 CAKE: Cognitive Amplification Knowledge Engine

Mon, 27 Apr 2026 21:17:19 +0100

We’re not teaching machines to think. We’re teaching ourselves to build thinking systems.

🎨 From AI Assistants to Controlled Cognitive Amplification

Most people use AI to write faster.
But the real opportunity isn’t speed.

It’s amplification.

A useful analogy is physical labor. A person can move earth with their hands, but only at a limited scale. A bulldozer does not replace the human it allows them to operate at a completely different level of throughput.

Living Against Parkinson’s: A Practical Guide to Fighting Back

Tue, 21 Apr 2026 11:52:11 +0100

🧩 SECTION 1: Introduction

How would you actually live if you were trying to fight this properly?

Not cure it. Not pretend it’s easy. But fight it intelligently, consistently, and over time.

That’s what this is.

Parkinson’s isn’t the largest disease in the world but it is one of the most demanding long-term neurological conditions a person can face. It reshapes movement, energy, thinking, and daily life and it does so unevenly, changing from day to day.