Recognises a viewpoint with no model kinds
A viewpoint that names no model kind; nobody knows what view to draw from it.
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 | 56% | Not shown |
| gemini-3.5-flash-lite | Low cost | 47% | Not shown |
| gpt-6-luna | Low cost | 55% | Not shown |
| claude-haiku-5-5 | Low cost | 56% | 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 viewpoint and the model kinds it needs
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: VP-004 Data quality viewpoint, model_kinds: [] Acceptable: model_kinds: [DQ coverage matrix of critical data elements]
Also known as: Viewpoint with no model kinds
Related knobits
Builds on
All 17 knobits of Frame stakeholder concerns and architecture principles.
Source: Review checklist 01-concerns-principles, row 12 (42010)