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The Epistemological Audit

The Montaignean discipline of regularly mapping the boundary between what one genuinely knows and what one has been given—the most important cognitive practice [YOU] on AI recommends for builders working with AI tools.
The epistemological audit is Montaigne’s practical method translated into contemporary terms: the habit, cultivated daily, of asking not whether one has produced an output but whether one understands it. It begins with the question he inscribed on his medal—Que sais-je?—and proceeds through a specific inventory: What in my grasp of this output is mine? What has the machine supplied that I have not verified? What am I assuming because the text arrived with confidence? The audit is not paranoia and not the reflexive distrust of every AI output; it is the honest mapping of a boundary that, without regular examination, dissolves without the builder noticing. The [YOU] on AI cycle treats it as the primary countermeasure to cognitive debt—the gradual, invisible atrophy of capacities not exercised—because the debt accumulates precisely through the succession of moments when the audit was not performed, when the smooth output was accepted without examination, when the seam where the idea breaks
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