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Equation 23 · Part 2 · What Interpretability Actually Costs to Do at Scale

Symbol i

Hverify  =  ∑i=1mhi,H_{\mathrm{verify}} \;=\; \sum_{i=1}^{m} h_i ,
ii

What this part means

i appears in the bound of this sum. The bound states where the repeated operation starts, ends, or which values it includes.

Its job in the formula

i appears in the bound of this sum. The bound states where the repeated operation starts, ends, or which values it includes.

The passage around this formula

A simple model makes the scaling problem legible. Let a verified circuit claim require passing m distinct checks — faithfulness under intervention, completeness against the behavior it is meant to fully explain, minimality against components that turn out not to matter — and let each check take hih_i researcher-hours, including the false starts a competent skeptic would force. Total verification cost per claim is Hverify  =  ∑i=1mhiH_{\mathrm{verify}} \;=\; \sum_{i=1}^{m} h_i . and the field’s own most careful examples put each hih_i measured not in minutes but in dedicated researcher-days once ambiguity has to be resolved rather than merely observed. If a frontier model implements even a low four-figure count of distinguishable,…

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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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Sources cited in the surrounding passage

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