AA-Omniscience-Decision non-hallucination rate D
AI benchmark · Decision Models
- Domains
- Decision Models
- Tier
- D why
- Snapshot
What is AA-Omniscience-Decision non-hallucination rate?
AA-Omniscience-Decision non-hallucination rate is one component of the Artificial Analysis Decision Index v1.0, run by Artificial Analysis. It is the share of questions not answered correctly where the model chose "I don't know" instead of a wrong answer. Higher is better.
Tier D
Long tail: little or no usage data yet.
How much stands behind a tier: usage, who backs it, a confirmed line from its own site or paper, and a clear read on X. High with three of the four, medium with two, low otherwise.
- no usage data
- in curated RL directories (1 pt)
How we got to tier D
- Adoption: no usage data. Tier D.
- On X: unclear, none buzz No move.
- In curated RL directories: 1 point, a floor of none.
- Not yet confirmed by a line from its own site or paper.
A clear view on X moves a tier one step up or down; most entries don't move. How tiers work.
Not on the map yet: no line from its own site or paper places it in a domain.
Next: browse all benchmarks. Entry from the RL Research daily scrape of public sources, 2026-10-16 snapshot.