code-davinci-002
A deployed OpenAI code model with fill-in-the-middle generation capability.
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Why this model scores 33.8
The model provided capable code generation and infilling through a hosted API, yielding meaningful deployment and dual-use exposure. Low inherent agency and provider-controlled access constrained autonomy and control difficulty.
News tied to code-davinci-002
The model score of 33.8 rates this model's risk profile. The overall Doom Index of 66.8 measures the complete temporally weighted evidence record. These values answer different questions.
Each article's current Doom Index contribution is divided equally among the exact models named on that article. This prevents multi-model evidence from being claimed in full on several model pages. Model risk scores use a bounded temporal offset around their technical profile, but never feed back into the overall index.
OpenAI deploys fill-in-the-middle code model code-davinci-002
OpenAI described a training method that added fill-in-the-middle capability without harming left-to-right performance and identified code-davinci-002 as its deployed infilling model.
- Full item contribution
- +0.05
- code-davinci-002 equal share
- +0.05
Model score history
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R4
Doom Score 33.8
Source-backed model availability audit using the model's existing primary or authoritative catalogue evidence. Exact-version evidence chronology replayed under temporal-monthly-pressure-v4.
12 Aug 2026 -
R3
Doom Score 33.8
Exact-version evidence chronology replayed after run doombench-hourly-news-20260812-142416 under temporal-monthly-pressure-v4.
12 Aug 2026 -
R2
Doom Score 36.1
Exact-version evidence chronology replayed after run doombench-hourly-news-20260812-132112 under fixed-sensitivity-v3.
12 Aug 2026 -
R1
Doom Score 39.4
New exact deployed code model with original result evidence and five evidence-based dimension inputs.
12 Aug 2026