Recognises an unspecified transformation
A transformation nobody could implement the same way twice.
Can AI do this?
Not settled yet The benchmark tested this, but the models' answers do not settle yet whether they master it. 0 of 4 models in the current benchmark master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 76% | Not shown |
| gemini-3.5-flash-lite | Low cost | 42% | Not shown |
| gpt-6-luna | Low cost | 76% | Not shown |
| claude-haiku-5-5 | Low cost | 75% | 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 rule or crosswalk it needs
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: MP-009 "convert to the new status" Acceptable: The rule or a crosswalk id
Also known as: Transformation unspecified
Related knobits
Builds on
All 18 knobits of Map sources to targets.
Source: Review checklist 02-source-to-target-mapping, row 10 (DMBOK)