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Equation 34 · Part 12 · OpenAI Codex as a Software-Engineering System: Models, Harnesses, and Evidence

addition

j∗=arg⁡min⁡j(λLLj+λCCj+λRRj+λSSj),j^* = \arg\min_j \left( \lambda_L L_j + \lambda_C C_j + \lambda_R R_j + \lambda_S S_j \right),
addition

What this part means

Add the term after the plus sign to the term or group before it.

Its job in the formula

Add the term after the plus sign to the term or group before it.

The passage around this formula

The choice can be expressed as a constrained optimization rather than a preference: j∗=arg⁡min⁡j(λLLj+λCCj+λRRj+λSSj)j^* = \arg\min_j \left( \lambda_L L_j + \lambda_C C_j + \lambda_R R_j + \lambda_S S_j \right). where LjL_j is latency, CjC_j is direct and review cost, RjR_j is reproducibility loss, and SjS_j is security exposure for surface j . The coefficients depend on the task. A one-line local refactor and a six-hour repository migration should not automatically use the same execution arrangement.

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Learn the underlying idea

Addition combines quantities; subtraction measures the signed difference between them. Parentheses show what is combined before the rest of the expression is evaluated.

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Sources cited in the article section

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