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The limiting cases are a useful sanity check. If a detailed request uniquely identifies a class, =0 , then =0 even if the repair has many transitions. That task can be long yet not intention-wide. If a terse request admits many reasonable classes but only one operational change, =1 , then the gap is broad but shallow. If there is no identifiable path to an externally checkable state, is undefined rather than enormous; the task is unsuitable for this study. And if redaction merely removes irrelevant prose, the annotation distribution should not change much. A metric that rises whenever words disappear has measured prompt length, not intention.
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Equation 13 · Evolutionary AI
AI Feeds on the Distance Between an Intention and an Outcome
This equation states an equality: the expressions on both sides have the same value under the article’s assumptions.
The limiting cases are a useful sanity check. If a detailed request uniquely identifies a class, =0 , then =0 even if the repair has many transitions. That task can be long yet not intention-wide. If a terse request admits many reasonable classes but only one operational change, =1 , then the gap is broad but shallow. If there is no identifiable path to an externally checkable state, is undefined rather than enormous; the task is unsuitable for this study. And if redaction merely removes irrelevant prose, the annotation distribution should not change much. A metric that rises whenever words disappear has measured prompt length, not intention.