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ΔE[L]>CS\Delta E[L] > C_S

Why this formula appears here

Let sandbox cost be CSC_S and reduction in expected loss be Δ\Delta E[L] . Isolation is directly favorable when ΔE[L]>CS\Delta E[L] > C_S. before counting secondary benefits such as reproducibility and reduced approval fatigue. For sensitive code or production credentials, the loss term can dominate. For a disposable tutorial repository, setup can dominate.

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ΔE\Delta E

Symbol Δ E

Δ E is a part of this expression. Its role is fixed by the surrounding article and by the operations shown in the formula.

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LL

Symbol L

L is a part of this expression. Its role is fixed by the surrounding article and by the operations shown in the formula.

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CSC_S

Symbol C_S

CSC_S is a part of this expression. Its role is fixed by the surrounding article and by the operations shown in the formula.

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Published contexts (1)

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ΔE[L]>CS,\Delta E[L] > C_S,

Equation 18 · AI Industry

The Economics of Codex: Tokens, Sandboxes, Review Time, and Software Throughput

This equation states a bound: one expression must stay on the indicated side of the other under the article’s assumptions.

Let sandbox cost be CSC_S and reduction in expected loss be Δ\Delta E[L] . Isolation is directly favorable when ΔE[L]>CS\Delta E[L] > C_S. before counting secondary benefits such as reproducibility and reduced approval fatigue. For sensitive code or production credentials, the loss term can dominate. For a disposable tutorial repository, setup can dominate.

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