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Artificial intelligence is increasingly capable of performing research workflows that extend from idea generation and literature search to experimentation, analysis, manuscript production, and review. This development makes a previously backgrounded epistemic question newly visible: before an inquiry can be answered, how does a question come to arise at all? This commentary distinguishes the yuanqi (缘起) of a question—its historically situated emergence through relations, conditions, encounters, contingencies, and forms of lived concern—from both the subsequent process of inquiry and its terminal artifact. Human questions often emerge within particular histories, places, relationships, encounters, affects, contingencies, and forms of lived concern. Dialogical and narrative forms in philosophy and religious traditions can preserve such conditions rather than merely decorate detachable propositions. Journalism likewise depends not only on what is eventually reported, but on where inquiry begins, who encounters whom, which relation makes a phenomenon salient, and how an initial interpretation develops. Autonomous AI research does not invalidate these structures; rather, it makes their comparison urgent. The relevant distinction is not a metaphysical opposition between "existential" humans and "mechanical" machines, but the genealogy through which a question becomes worth asking for a given epistemic agent or system. The commentary argues that, as answers and even research questions become increasingly automatable, knowledge institutions should attend more carefully to the spatiotemporal, relational, contingent, and existential provenance of inquiry, and to forms of record capable of preserving the conditions under which later understanding can be regenerated.
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Wanhong HUANG (2026) studied this question.
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