AI: From the Engine Room

A 13-article series on modern AI from a data engineering perspective.

Series Premise

“The engine room isn’t a better vantage point than the bridge, just a different one, with different things visible.”

Most AI commentary comes from executives, analysts, consultants. This series comes from someone who worked on attention mechanisms before ChatGPT made them famous, recognizing the machinery inside today’s headlines.

Structure

Pillar 1: AI Mechanisms (Articles 1-5)

How attention, training, and context actually work. Intuition over exhaustive detail.

Pillar 2: The Proprietary Data Paradox (Articles 6-9)

Why data strategy is harder than it looks. Knowledge architecture, tacit expertise, interface design.

Pillar 3: Forward-Looking Governance (Articles 10-13)

Hallucination, prompting, why AI readiness is a governance question.

The Through-Line

“These systems are more comprehensible than marketing suggests, and more limited than hype implies. Both things are true simultaneously.”

Article Index

#TitleLocation
01I’ve Heard This Engine Before05-organism—engine-room-01-introduction
02The Attention Mechanism Explained05-organism—engine-room-02-attention
03Training EconomicsDraft
04The Efficiency IllusionDraft
05Context Windows and Memory05-organism—engine-room-05-context
06The Multiplier EffectDraft
07The Tacit Knowledge Bottleneck07-organism—engine-room-07-tacit-knowledge
08Why Vectors Aren’t EnoughDraft
09UI as the Ultimate Guardrail07-organism—engine-room-09-ui-guardrail
10Hallucination is a Feature05-organism—engine-room-10-hallucination
11Working With the MachineDraft
12AI Readiness Is Governance04-organism—engine-room-12-governance
13What the Engine Room Taught Me07-organism—engine-room-13-synthesis

Status: 8 of 13 articles complete and publication-ready.

Key Atoms & Molecules Referenced