How to read this edition
Each chapter includes sources, related areas and a review date. The text is an introductory synthesis, not an engineering specification. Examples are illustrative. No supplier rankings, market forecasts or manufacturer-specific performance claims are presented.
Primary documentation and original institutional publications are preferred. A source’s presence does not imply that it endorses Looking Into AI. Changeable claims need another check when a chapter is revised; a review date records an editorial checkpoint, not a guarantee of permanent accuracy.
Editorial status
Sources were checked during development on November 1, 2026. Written explanations and code were prepared with AI assistance using Larry’s supplied strategy. The full factual audit and Larry’s editorial review are in progress. Send questions or corrections to larryglover@gmail.com. No completed videos or specialist approvals are claimed.
Source directory
- NIST · AI Risk Management Framework ↗
Human context, evaluation, accountability and risk management.
- Anthropic · Building effective agents ↗
A practical distinction between workflows and model-directed agents.
- Google · Machine Learning Glossary ↗
Models, parameters, training, inference, datasets and evaluation.
- Kubernetes · Overview ↗
Container orchestration, deployment and management of workloads; one example of infrastructure software.
- U.S. Department of Energy · Data center design guide (2024) ↗
IT equipment, electrical distribution, cooling and facility efficiency.
- CSET / ETO · Semiconductor Supply Chain Dataset documentation ↗
Design, materials, equipment, fabrication, packaging and geographic limitations.
- Three.js · Documentation ↗
Browser-based rendering and the interactive hardware illustration.
- W3C · Understanding use of color ↗
Additional visible cues alongside semantic colors.
Illustrations and software
The original rack, server and GPU prototype is preserved in the project’s prototype folder. The integrated explorer adapts that geometry and uses a locally served, pinned Three.js module with its MIT license. Models and application relationships are conceptual; they are not physical parts of a server.