Mining a Data-Driven World with Artificial Intelligence (opens in a new tab)
Is it time for a new look at AI? Maybe AI needs to take a look at time.
The book
Generative Temporal Referencing
Mining a Data-Driven World with Artificial Intelligence
Kirk Laughead · 2026 · Independently published
See it on Amazon (opens in a new tab)Paperback, hardcover, and Kindle editions are on one Amazon page.
Every record has a place in time. Most have never been read there.
More about this book
For most of history we have kept far more than we could ever process. Ledgers, notebooks, files, and drives piled up faster than anyone could work them, and the gap between what was created and what was used kept widening.
Generative Temporal Referencing (GTR) places every record on a single line through time, so documents that were never connected can be read side by side, at the moment they share. Latent Value Query (LVQ) puts that line to work: finding what is buried in a body of records, recovering it, and putting a value on it.
The book borrows the working vocabulary of mining, grade, cutoff, tailings, assay, to show how AI can turn the records we already have into the raw material of a data-driven world. From medieval tally sticks to the 2008 financial crisis to a family's forgotten steno notebooks, it is part history, part field manual, and part proposal for a market in recovered data.
Inside
- How the tally stick became the first record that could prove itself, and why that still matters
- Grade, cutoff, and tailings: measures for deciding which records are worth recovering
- What geographic information systems taught us about putting different data on one frame, and what changes when that frame is time
- Rectification and the measures, shown on a documented run with its benchmark and results
- The 2008 financial crisis and a decades-old drug history, each read on a single timeline
- A plan for a market where old records are recovered, made safe, graded, and sold
- Applications by industry, from utilities and health care to construction and public administration
Every claim is marked demonstrated, designed, or illustrative, so the reader always knows how firmly it stands.
Editions
| Edition | Details |
|---|---|
| Paperback | 6 × 9 in., 145 pages · ISBN 9798162381617 |
| Hardcover | 6.14 × 9.21 in., 140 pages · ISBN 9798162384571 |
| Kindle | eBook |
The author
Kirk Laughead has spent his working life accessing, managing, and processing data, information, and records, from paper bank ledgers to geographic information systems. He develops the methods in this book through Temporal Data Dynamics.
How it was made
The book was developed in a structured collaboration with AI systems under the Directed User Interface. The author conceived and directed the work; the systems searched, drafted, assisted with design and refinement, and helped verify the work under his direction.
