Releases a model change as a new model version
A change log entry with reason, impact, semantic version, migration, baseline and approval
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 | 100% | Mastered |
| gemini-3.5-flash-lite | Low cost | 51% | Not shown |
| gpt-6-luna | Low cost | 100% | 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: A change log entry with reason, impact, semantic version, migration, baseline and approval
How it is assessed: Dropping a deployed column read by a regulatory report is released as a major version with the report in its impact, an expand-and-contract migration, a tagged baseline and the approver the plan names
Related knobits
Builds on
All 7 knobits of Maintain and version data models.
Source: DAMA-DMBOK2 chapter 5, element(s) DM-30, DM-41: a performance at CDMP Practitioner level