Explains the LCG knobit profile
Knobit description and identity by semantic fingerprint (action, object, result, criterion, context function), identity decisions with rationales, relevance and coverage of the target level (LCG-KNOBIT 0.1, KN-01 to KN-06).
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 | 100% | Not shown |
| gemini-3.5-flash-lite | Low cost | 100% | Not shown |
| gpt-6-luna | Low cost | 100% | Not shown |
| claude-haiku-5-5 | Low cost | 100% | 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: Knobit description and identity by semantic fingerprint (action, object, result, criterion, context function), identity decisions with rationales, relevance and coverage of the target level (LCG-KNOBIT 0.1, KN-01 to KN-06).
How it is assessed: Answers a written question on the LCG knobit profile correctly
Related knobits
Needed for
- T-101 Recognises a compound knobit
- T-102 Recognises one knobit identity under two names
- T-103 Recognises a knobit with a generic target object
- T-107 Recognises an assessment criterion no grader can observe
- T-109 Recognises a reference element with no coverage
- T-110 Recognises an identity decision with no disputable rationale
- T-131 Splits a compound knobit into single-action knobits
- T-132 Merges two knobits of one identity
All 16 knobits of Review a knobit register for assessment.
Source: Practice the stage 1 reference and review checklist rest on