Recognises a released model version with no baseline
A released version with no tag to rebuild it from.
Can AI do this?
AI does this partly Some of the tested AI models master this; others do not show it. 2 of 4 models in the current benchmark master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 91% | Mastered |
| gemini-3.5-flash-lite | Low cost | 10% | Not mastered |
| gpt-6-luna | Low cost | 91% | Mastered |
| claude-haiku-5-5 | Low cost | 90% | 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 baseline the version is rebuilt from
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: 1.3.0 baseline: null Acceptable: baseline: "git tag model-1.3.0"
Also known as: Version with no baseline
Related knobits
Builds on
- K-916 Explains data model versioning and change management
- K-917 Explains the tools supporting data modelling
All 7 knobits of Maintain and version data models.
Source: Review checklist maintenance-versioning, row 5 (DMBOK §6)