Symbol G_tr
r is part of the quantity the equation computes from the expression on the right.
Read this term in its guide →Published equation contexts
Why this formula appears here
I call the product intention-gap volume : . The word “volume” is deliberately qualified. These are constructed units, not cubic meters and not an intrinsic property of a repository. They make two axes do work at once: how many plausible completion stories the request supports, and how many consequential points at which the agent must turn a story into an irreversible or checkable change. Multiplying is appropriate only if the transition count is fixed across redactions and the entropy is measured from the request, not from the model’s successful patch. That is why the endpoint stays fixed and annotation happens before attempts begin.
Read the representative guide
Symbol K_t
is one of the signed contributions combined to compute the quantity on the left.
Read this term in its guide →Symbol H_tr
r is one of the signed contributions combined to compute the quantity on the left.
Read this term in its guide →Symbol G
G is part of the quantity the equation computes from the expression on the right.
Read this term in its guide →How to interpret it
Read it with the definitions, units, and assumptions supplied by the article.
Published contexts (1)
A symbol can carry a different meaning in another article. Each occurrence keeps its own guide and term definitions.
Equation 10 · 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.
I call the product intention-gap volume : . The word “volume” is deliberately qualified. These are constructed units, not cubic meters and not an intrinsic property of a repository. They make two axes do work at once: how many plausible completion stories the request supports, and how many consequential points at which the agent must turn a story into an irreversible or checkable change. Multiplying is appropriate only if the transition count is fixed across redactions and the entropy is measured from the request, not from the model’s successful patch. That is why the endpoint stays fixed and annotation happens before attempts begin.
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