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Equation 1 · AI Feeds on the Distance Between an Intention and an Outcome

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Ctr\mathcal{C}_{tr}

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Ctr\mathcal{C}_{tr}

Symbol C_tr

CtC_tr 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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subscript

subscript

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What the article says around this equation

This makes false positives expensive in the right way. Suppose a redacted request causes every annotator to invent ten fanciful implementation routes, but each route is plainly inconsistent with the repository’s public interfaces. They do not enter Ctr\mathcal{C}_{tr} . Suppose another request has only two plausible repair stories, but choosing between them changes a promise on which distant callers depend. They remain separate classes even if their patches share most lines. The annotation manual therefore needs positive examples, counterexamples, and a rule that every class name records the observable behavior and scope commitment that distinguish it. It must be frozen before an agent or a…
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This makes false positives expensive in the right way. Suppose a redacted request causes every annotator to invent ten fanciful implementation routes, but each route is plainly inconsistent with the repository’s public interfaces. They do not enter Ctr\mathcal{C}_{tr} . Suppose another request has only two plausible repair stories, but choosing between them changes a promise on which distant callers depend. They remain separate classes even if their patches share most lines. The annotation manual therefore needs positive examples, counterexamples, and a rule that every class name records the observable behavior and scope commitment that distinguish it. It must be frozen before an agent or a human is scored. Otherwise the panel will learn which ambiguity was useful to a particular system and retroactively call that the intention gap.

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