Editorial method
How Axiom AO distinguishes evidence, proposed definitions, examples, and changing knowledge in two languages.
#State what kind of claim is being made
Articles distinguish referenced knowledge, Axiom AO proposals, and illustrative examples. A proposed definition is an explicit editorial choice; it becomes an established standard only through an appropriate external process, not through repetition on this website. The taxonomy therefore carries a version and a proposal status.
Implementation claims should identify their basis: source inspection, a controlled test, or observed operation. A feature described in documentation is different from a feature demonstrated under stated conditions. The resource does not claim to be the first in the world, and its aim of comprehensive coverage remains an ongoing commitment.
#Sources, versions, and limitations
Prefer original papers, project documentation, and directly inspectable evidence. Link a source close enough to its use that a reader can check what it supports. Record relevant dates and versions, especially for changing benchmarks and software. Preserve limitations instead of promoting a narrow result into a universal capability.
Corrections should explain the affected statement and its replacement. A change in current understanding does not erase the historical record of a previous experiment. Where evidence is missing or conflicting, say so explicitly and identify the question that further work would resolve.
#One meaning in English and Russian
English and Russian versions should describe the same concepts, scope, and uncertainty. Translation must not turn a proposed model into an accepted fact or a planned service into an available one. Stable page identifiers and linked terminology help both human readers and AI agents follow the same conceptual structure.
Expand autonomous organization before using AO, particularly in Russian where the abbreviation has another common meaning. Distinguish the general class, the Axiom AO model, and its implementation. Clear headings and concise definitions support retrieval; machine readability cannot substitute for accurate content, sources, and editorial responsibility.
Sources & context
- Wooldridge, Jennings & Kinny (2000). The Gaia Methodology for Agent-Oriented Analysis and Design
- Buterin (2014). DAOs, DACs, DAs and More: An Incomplete Terminology Guide
- Kwa et al. (2025; revised 2026). Measuring AI Ability to Complete Long Software Tasks
Reference edition 0.1 · 2026-10-14. Read the editorial method.