Recognises knobits no item tells apart
Two knobits needed by exactly the same items, so no answer distinguishes them.
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 | 74% | Not shown |
| gemini-3.5-flash-lite | Low cost | 43% | Not shown |
| gpt-6-luna | Low cost | 43% | Not shown |
| claude-haiku-5-5 | Low cost | 74% | 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: An item that separates them
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: K-1 and K-2 needed only by I-1 (K-1 applies K-2) Acceptable: An item that needs K-2 without K-1
Also known as: Knobits no item tells apart
Related knobits
Builds on
All 16 knobits of Review a knobit register for assessment.
Source: Review checklist 01-knobit-register, row 8 (LCG QW-26; KST)