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Equation 29 · Part 9 · AI Feeds on the Distance Between an Intention and an Outcome

≥

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\},
≥

What this part means

Greater than or equal to.

Its job in the formula

Greater than or equal to.

The passage around this formula

where the components are maximum direct monetary expenditure in U.S. dollars, maximum supplied input-token context, and maximum elapsed minutes. These are intentionally not converted into one fictional currency. A system that buys more attempts, receives more context, or waits longer has changed its environment. Let Y=1 mean that an attempt reaches At(x)A_t(x)=1 without a predeclared collateral violation. The niche is the set 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…

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Learn the underlying idea

An inequality compares values without claiming they are equal. It describes a range, threshold, or bound that a quantity may satisfy.

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