← Back to article

Equation 16 · The Economics and Physical Limits of Running AI Agents at Scale

What does this equation mean?

(i−1)σ(i-1)\sigma

Read the formula alongside the article passage below. Each part has a deeper page with its role in the equation, the supporting passage and nearby citations.

This mathematical expression combines the displayed quantities; its precise role follows from the surrounding article text. Read the equation part by part below; each part has a contextual explanation and a link to its mathematical background.

Read it piece by piece

ii

Symbol i

the step.

Understand this part →

σ\sigma

Symbol σ

σ is a part of this expression. Its role is fixed by the surrounding article and by the operations shown in the formula.

Understand this part →

subtraction

subtraction

Subtract the following term or group from the preceding one. A leading minus marks a negative quantity.

Understand this part →

How to interpret it

Read this expression with the definitions, units, and assumptions supplied by the article.

What the article says around this equation

Because the API is stateless between calls, step i in the loop must include, as ordinary input, everything that made it into the transcript through step i-1 : the tool results, the intermediate reasoning, the earlier outputs. Call the amount a single step permanently adds to that growing transcript σ\sigma — roughly δ\delta plus oˉ\bar{o} , since both the new material a step introduces and the output it produces become part of what every later step has to resend. Without caching, step i ’s input is not just τ\tau + δ\delta ; it is τ\tau + δ\delta plus the accumulated weight of every prior step, (i-1)σ\sigma :

Read the equation in its article →

Sources cited in the article section

These citations give research context. Read each source to check which claims it supports.

Return to The Economics and Physical Limits of Running AI Agents at Scale

See this formula across 2 published contexts →

Browse the mathematical compendium →