← All parts of this equation

Equation 29 · Part 11 · The Economics and Physical Limits of Running AI Agents at Scale

superscript

E[Cn]≈∑i=1nci1−qi\mathbb{E}[C_n] \approx \sum_{i=1}^{n} \frac{c_i}{1-q_i}
superscript

What this part means

A raised number can be a power. When it is a label or bound, it selects a case or the upper limit of a sum; the formula’s structure distinguishes these uses.

Its job in the formula

A raised mark can be a power or an index. Its position and the surrounding notation determine which.

The passage around this formula

If a step fails and is retried with probability qiq_i , independent of other steps, the expected cost of the trajectory becomes E[Cn]≈∑i=1nci1−qi\mathbb{E}[C_n] \approx \sum_{i=1}^{n} \frac{c_i}{1-q_i}. Holding qiq_i = q constant across the trajectory — a simplification, since real failure rates are neither constant nor independent — the expected extra cost from retries is q1−q\frac{q}{1-q}∑i\sum_i cic_i , and because cic_i increases with i , that extra cost is weighted toward the trajectory’s most expensive, latest steps rather than distributed evenly across it. A one-percent per-step retry rate is a rounding error at step five. Applied at step two hundred of an uncached or lightly cached loop, it is a rounding error on a much larger number.

Read this part in the article →

Learn the underlying idea

An exponent tells how a base is used in multiplication. In x³, x is the base and 3 is the exponent: x³ = x × x × x.

Open the illustrated exponents: repeated multiplication and powers guide →

Sources cited in the article section

These citations provide research context; check each source for the exact claim it supports.