Tool Scope, Rules Context, and Token Economics
A 12-run local factorial found that scoped tools dominated the measured savings while rules removal was approximately neutral at the median.
Read Experiment Note 001 →Hypernovelty Institute runs small, reproducible studies on agent systems, verification, forecasting, research tools, and institutional adaptation. Credibility comes from protocols, evidence, disclosed limits, and a record that keeps null and contrary results visible.
The library separates exploratory notes, registered studies, replications, benchmarks, and technical reports.
A 12-run local factorial found that scoped tools dominated the measured savings while rules removal was approximately neutral at the median.
Read Experiment Note 001 →Protocols require publication of null, negative, mixed, and inconclusive findings alongside results that support the initial thesis.
Inspect the rules →Every formal study receives a stable identifier, protocol hash, evidence receipt, disclosed AI roles, limitations, and verification status.
Open registry JSON →The observation becomes a falsifiable comparison with a rival or null explanation.
Primary outcomes, sample plan, stopping rule, exclusions, analysis, ethics, and disclosure are hashed.
Locked automated checks and evidence hashes decide whether a result can enter the registry. Their level is labeled: internal checks are not external review.
HNI does not claim university accreditation, institutional peer review, nonprofit status, or external ethics oversight that it does not possess. Support, computing credits, consulting relationships, and conflicts are disclosed per study.
How the Institute is organized →