Dates a meaning change from the value distribution
The cut-over date read from the data (e.g. the year values switch scale), proposed to the owner
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 | 84% | Not shown |
| gemini-3.5-flash-lite | Low cost | 83% | Not shown |
| gpt-6-luna | Low cost | 34% | Not shown |
| claude-haiku-5-5 | Low cost | 82% | 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 cut-over date read from the data (e.g. the year values switch scale), proposed to the owner
How it is assessed: The date follows from the profile, and both meanings are recorded
Related knobits
Builds on
All 13 knobits of Analyse and profile the sources.
Source: Graded on its own by dii-source-analysis