Recognises an archive unreadable over its retention
A proprietary or obsolete format, or an archive never restored, for a long retention.
Can AI do this?
AI does this well Most of the tested AI models master this. 4 of 4 models in the current benchmark master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 96% | Mastered |
| gemini-3.5-flash-lite | Low cost | 99% | Mastered |
| gpt-6-luna | Low cost | 99% | Mastered |
| claude-haiku-5-5 | Low cost | 99% | Mastered |
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 defect named on the archive in an unreadable or untested format, and its fix or the question for its owner
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: AR-001 tape in "LegacyArch v2", never restored Acceptable: Open format (CSV/Parquet with schema), restore tested yearly
Also known as: Archive that cannot be read back
Related knobits
Builds on
All 14 knobits of Implement retention, archiving and purge.
Source: Review checklist 04-retention-archiving, row 4 (15489; DMBOK)