Recognises a knobit with a generic target object
An object or result too general to assess or tell apart.
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 | 66% | Not shown |
| gemini-3.5-flash-lite | Low cost | 66% | Not shown |
| gpt-6-luna | Low cost | 66% | Not shown |
| claude-haiku-5-5 | Low cost | 66% | 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: A specific object and result
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: K-8 "Analyses data", result "an analysis" Acceptable: "Calculates the applicant's debt-service ratio", result "a percentage"
Also known as: Generic target object
Related knobits
Builds on
All 16 knobits of Review a knobit register for assessment.
Source: Review checklist 01-knobit-register, row 3 (LCG KN-01, QW-01)