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Equation 29 · Part 3 · AI Feeds on the Distance Between an Intention and an Outcome

Symbol g

Nm(B)={(g,h):LCB⁡0.95 ⁣[Pr⁡(Y=1∣m,g,h,B)]≥p∗},\mathcal{N}_m(B)=\left\{(g,h):\operatorname{LCB}_{0.95}\!\left[\Pr(Y=1\mid m,g,h,B)\right]\ge p^*\right\},
gg

What this part means

in bit-transitions and h in active human minutes.

Its job in the formula

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

Where the article explains it

The region lives in intention-gap/horizon space: g is in bit-transitions and h in active human minutes.

The passage around this formula

…Nm(B)={(g,h):LCB⁡0.95 ⁣[Pr⁡(Y=1∣m,g,h,B)]≥p∗}\mathcal{N}_m(B)=\left\{(g,h):\operatorname{LCB}_{0.95}\!\left[\Pr(Y=1\mid m,g,h,B)\right]\ge p^*\right\}. where p∗p^* is a preregistered practical reliability threshold and the lower confidence bound is clustered by task, repository, and repeated attempt. The region lives in intention-gap/horizon space: g is in bit-transitions and h in active human minutes. It is not an ontological home for a machine. It is a reproducible statement of where that machine clears a reliability bar under one budget.

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Learn the underlying idea

A variable is a named place for a value. Its letter is a local label: x can mean position in one formula and a data point in another.

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The article lists its research sources here.