Recognises a semantic change assessed as a schema change
"No impact" because name and type are unchanged, when the meaning changes.
Can AI do this?
People still lead Few or none of the tested AI models showed they master this. 0 of 4 models in the current benchmark master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 82% | Not shown |
| gemini-3.5-flash-lite | Low cost | 81% | Not shown |
| gpt-6-luna | Low cost | 5% | Not shown |
| claude-haiku-5-5 | Low cost | 81% | 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 effect on each downstream object in its own terms
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: CH-001 adds accrued interest to ledger_balance; IA-001 says "schema unchanged, low impact" Acceptable: Every balance downstream rises by the accrued interest; LCR outflows move
Also known as: Semantic change assessed as a schema change
Related knobits
Builds on
All 9 knobits of Analyse the impact of a change.
Source: Review checklist 06-impact-analysis, row 4 (DMBOK; ITIL (assess before authorising))