A dated test that would show one of the book’s claims wrong. A claim whose falsifier fires is withdrawn, and the withdrawal is reported beside the Scorecard’s verdict. Chapters 1, 12.
From The AI Compute Race. Read the book
Where the book uses it
- Chapter 1 — The Stakes
What the race is for: the belief that a lead in AI can compound into a lasting advantage, how long such leads have actually lasted, and what a trillion dollars a year is being bet against.
- Chapter 12 — Cross-Examination
The book’s own thesis put on trial: five claims, each scored against the record and given a dated test that could prove it wrong.
Also discussed in
- Dated test Chapter 12, claim 5, the hyperscalers’ own borrowing
- Dated test Chapter 12, claim 4, the frozen cohort
- Dated test Chapter 11, OpenAI’s 2027
Related terms
From the glossary of The AI Compute Race.
How to cite this page
Dryburgh, Lee S. “Falsifier.” In The AI Compute Race. DRYBURGH. https://dryburgh.com/vol1/glossary/falsifier (accessed 2026-11-01).
BibTeX
@misc{dryburgh-falsifier-2026,
author = {Dryburgh, Lee S.},
title = {{Falsifier}},
howpublished = {In \emph{The AI Compute Race}, DRYBURGH},
year = {2026},
url = {https://dryburgh.com/vol1/glossary/falsifier},
note = {Accessed 2026-11-01}
}