Recognises a stale data policy
review_by in the past and still approved.
Can AI do this?
Not settled yet The benchmark tested this, but the models' answers do not settle yet whether they master it. 0 of 4 models in the current benchmark master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 82% | Not shown |
| gemini-3.5-flash-lite | Low cost | 82% | Not shown |
| gpt-6-luna | Low cost | 83% | Not shown |
| claude-haiku-5-5 | Low cost | 80% | Not shown |
Mastered means a probability of at least 90% that the model has this knobit, estimated from its graded answers. “Not shown” means the answers do not settle it either way. How the models are tested.
What it looks like in practice
Expected result: The policy and its review
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: PO-003 review_by: 2025-06-30 Acceptable: Reviewed and re-approved, or explicitly extended by the approver with a date
Also known as: Stale policy
Related knobits
Builds on
All 26 knobits of Write governance policies, standards and procedures.
Source: Review checklist 03-policies-standards, row 19 (38505 monitor; DCAM)