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Equation 29 · Part 11 · AI Feeds on the Distance Between an Intention and an Outcome

Probability operator

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\},
Pr⁡\Pr

What this part means

The probability operator gives the chance of the event named inside its brackets or parentheses.

Its job in the formula

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

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

Probability assigns a number from 0 to 1 to an event under a stated model. Zero means impossible within that model; one means certain.

Open the illustrated probability: a quantified chance guide →

The article lists its research sources here.