Recognises transition states out of order
A state's date precedes an earlier-numbered state, or entry depends on a later exit.
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 | 59% | Not shown |
| gemini-3.5-flash-lite | Low cost | 52% | Not shown |
| gpt-6-luna | Low cost | 59% | Not shown |
| claude-haiku-5-5 | Low cost | 61% | 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 states and the corrected order
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: TS-3 by 2027-06-30, TS-2 by 2027-09-30 Acceptable: Dates in order, or the states renumbered
Also known as: States out of order
Related knobits
Builds on
All 14 knobits of Sequence the implementation roadmap.
Source: Review checklist 05-roadmap, row 8 (TOGAF)