PRINCIPLES

How we approach the work.

Working principles for building knowledge that people can understand, machines can use, and other researchers can challenge.

01

Open by default

Make research materials inspectable and reusable under their published licenses.

02

Evidence-aware

Keep sources, uncertainty, and claim status attached to the knowledge they qualify.

03

Modular

Study specific functions independently before exploring their interactions.

04

Interoperable

Favor explicit schemas and stable identifiers that can connect across projects.

05

Versioned

Make changes traceable so an experiment can refer to the knowledge it actually used.

06

Transparent disagreement

Preserve competing interpretations and the reasoning behind them.

07

Human + machine readable

Pair useful structured data with understandable explanations.

08

Research before hype

State questions precisely and limit claims to what evidence can support.

09

Safety-conscious experimentation

Use controlled environments, bounded tasks, and human oversight.

These principles guide the initiative. Individual projects publish their own implementation details, governance rules, and licenses.

Help put these principles into practice →