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The Smooth as Methodological Vice

A structural bias in AI-era inquiry: the <em>asymmetry between producing output (fast, cheap) and evaluating it (slow, expensive)</em> tilts every interaction toward acceptance and systematically erodes the capacity for independent judgment.
A methodological vice, in Laudan's vocabulary, is not a logical error or an individual failing. It is a structural feature of the inquiry environment that tilts outcomes toward a particular kind of result regardless of whether that result is warranted. The aesthetics of the smooth, documented through Byung-Chul Han's analysis and Segal's confrontation with it, constitutes a methodological vice of precisely this kind. AI tools produce fluent, polished, coherent output in seconds. Evaluating that output — determining whether it conceals a genuine insight or a plausible fabrication — takes orders of magnitude longer and requires domain expertise that the user may not possess. In any environment where time is scarce and output is abundant, the cost asymmetry tilts toward acceptance. Smooth output accumulates. Unverified claims propagate. The appearance of rigor substitutes for rigor itself.

In The You On AI Field Guide

Laudan was explicit that the most dangerous errors in scientific practice are not errors of individual judgment but features of the inquiry

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