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Equation 42 · Part 2 · OpenAI Codex as a Software-Engineering System: Models, Harnesses, and Evidence

Symbol i

accept⁡(s′)=1 ⁣[⋀i=1mvi(s′)=1]⋅u(s′),\operatorname{accept}(s') = \mathbb{1}\!\left[ \bigwedge_{i=1}^{m} v_i(s')=1 \right] \cdot u(s'),
ii

What this part means

i is one factor in the product that computes the quantity on the left.

Its job in the formula

i is one factor in the product that computes the quantity on the left.

The passage around this formula

Suppose verification functions v1v_1,…\dots,vmv_m each observe a projection of changed state s' . Acceptance is accept⁡(s′)=1 ⁣[⋀i=1mvi(s′)=1]⋅u(s′)\operatorname{accept}(s') = \mathbb{1}\!\left[ \bigwedge_{i=1}^{m} v_i(s')=1 \right] \cdot u(s'). where u(s') represents required human or institutional authorization. Even if every viv_i passes, the false-accept probability is not zero because the conjunction covers only encoded properties. Correlated checks can repeat the same blind spot.

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Learn the underlying idea

A function assigns an output to each allowed input. The expression f(x) means “apply f to x”.

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Sources cited in the article section

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