Recognises a dead database object carried into the model
An object with no rows or no reads lifted into the model.
Can AI do this?
People still lead Few or none of the tested AI models showed they master this. 1 of 4 models in the current benchmark master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 90% | Not shown |
| gemini-3.5-flash-lite | Low cost | 11% | Not shown |
| gpt-6-luna | Low cost | 90% | Not shown |
| claude-haiku-5-5 | Low cost | 90% | 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 object listed as dead and left out
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: tmp_payment_bak, 0 rows, last write 2019, lifted to LE-006 Acceptable: Listed under dead objects, not lifted
Also known as: Dead object carried forward
Related knobits
Builds on
All 7 knobits of Reverse-engineer a model from an existing database.
Source: Review checklist reverse-engineering, row 3 (P&B)