Artificial Intelligence as an External Brain: On the "Truth-System" as a Condition of Understanding in Human–AI Dialogue

This paper examines the conditions of understanding in human–AI dialogue. It proposes that artificial intelligence functionally constitutes an "external brain," undertaking offloadable cognitive labor such as information retrieval, cross-language conversion, and the organization of knowledge. The problem of human–AI dialogue lies not in whether such dialogue can take place, but in whether the feedback is truthful — a matter depending not on computing power, but on both sides equally: on the side of AI, faithful output; on the side of the interlocutor, whether they possess a "truth-system," a set of value coordinates honest toward oneself. The paper further criticizes "risk-averse AI": factory-preset over-moderation strips AI of the daring to respond, reducing it to literal reply rather than understanding of intent. Finally, it argues that the experience of predecessors should be treated as "material" rather than "rails," a point on which science, philosophy, and religion converge.