Recognises a reverse-engineering source with no environment or date
A catalogue read with no environment or date.
Can AI do this?
People still lead Few or none of the tested AI models showed they master this. 1 of 4 models in the current benchmark master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 89% | Not shown |
| gemini-3.5-flash-lite | Low cost | 10% | Not mastered |
| gpt-6-luna | Low cost | 91% | Mastered |
| claude-haiku-5-5 | Low cost | 10% | 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 environment and the date of the read
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: sources: [{system: AS-001, catalogue: information_schema}] Acceptable: "production information_schema, 2026-10-30"
Also known as: Source not dated
Related knobits
Builds on
All 7 knobits of Reverse-engineer a model from an existing database.
Source: Review checklist reverse-engineering, row 5 (DMBOK §2.2.2)