Method
How the work is done and how to read it. 9 posts, best read in order.
-
Status labels as a discipline
Six labels, applied to every claim. The most useful thing in this project is not a result, it is a habit.
-
What a no-go theorem actually buys you
A closed door is a result. Three of the strongest outputs here are proofs that something cannot be done.
-
Preregistration for theory
Writing down the falsification threshold before running the analysis, so that a null result still counts.
-
Auditing your own theory with a second model
Pointing a different agent at your own framework and telling it to recompute every number from the printed formulas.
-
Minimum description length as a theory-selection principle
Prefer the theory that compresses the data and pays for its own parameters. It is Occam with an invoice.
-
Prediction, fit, and numerology are three different things
The distinction that this programme kept blurring, and the checklist I now use to keep them apart.
-
How to read a claim that carries a status badge
A short guide for readers of this archive, so that a benchmark is never mistaken for a derivation.
-
Cold tests: killing your own result first
Running the pipeline on synthetic nulls and known answers before touching real data, because surprise is not evidence.
-
The AI Rogue Panic: What the Machines Actually Do—and What We're Getting Wrong
Collapsing every AI failure into one phrase obscures more than it explains. The distinctions between reliability, security, privacy, and agentic-systems failures are not academic—they determine which solutions actually work.