Recognises a model change with no impact analysis
A change to an object others read, with nothing on who reads it.
Can AI do this?
AI does this well Most of the tested AI models master this. 3 of 4 models in the current benchmark master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 90% | Mastered |
| gemini-3.5-flash-lite | Low cost | 90% | Mastered |
| gpt-6-luna | Low cost | 89% | Not shown |
| claude-haiku-5-5 | Low cost | 91% | 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 consumers affected, from lineage
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: MC-032 drops PE-016, impact: null Acceptable: impact: [RP-03] from metadata-management --impact
Also known as: Change with no impact analysis
Related knobits
Builds on
Usually followed by
All 7 knobits of Maintain and version data models.
Source: Review checklist maintenance-versioning, row 2 (DMBOK §2.4; ITIL)