Recognises a negative definition
The definition says what the concept is not. Acceptable only when the absence of a characteristic is the essential feature.
Can AI do this?
AI does this partly Some of the tested AI models master this; others do not show it. 3 of 10 models master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 100% | Mastered |
| gemini-3.1-pro-preview | Flagship | 89% | Not shown |
| gpt-6-astra | Flagship | 0% | Not mastered |
| claude-fable-5-1 | Flagship | 89% | Not shown |
| gemini-3.8-flash | Mid tier | 100% | Mastered |
| gpt-6.1-sol | Mid tier | 0% | Not mastered |
| claude-sonnet-5-5 | Mid tier | 90% | Not shown |
| gemini-3.5-flash-lite | Low cost | 89% | Not shown |
| gpt-6-luna | Low cost | 0% | Not mastered |
| claude-haiku-5-5 | Low cost | 100% | Mastered |
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 definition and the positive delimiting characteristic missing
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: fixed-rate loan: loan that is not a variable-rate loan Acceptable: fixed-rate loan: loan whose interest rate stays the same for the whole term. Acceptable negation: unsecured loan: loan not backed by collateral
Also known as: Negative definition (business term)
Related knobits
Builds on
Usually followed by
All 20 knobits of Define business terms.
Source: Review checklist 02-business-terms, row 3