This paper constitutes Paper 10 of the AI-Induced Subjectivity Crisis Series. Throughout the history of technology, every artifact has been transparent to its maker. Large language models have broken this rule for the first time. This paper argues that LLMs are not merely poorly understood but are constitutively unknowable—and that this unknowability is not a temporary limitation of current research but a structural feature irreducible by any future refinement of epistemological instruments. The argument proceeds in three stages. First, the paper establishes that LLMs represent a genuine ontological event in the history of technology: unlike all prior artifacts, their existence precedes their definition, their outputs cannot be derived from their design intentions, and the standard sequence of concept→design→realization has been structurally inverted. Second, the paper argues that this unknowability is produced by three mutually independent seals, each with its own philosophical foundation. The First Seal holds that the meaning-space of natural language is essentially unclosable: semantic emergence is strong emergence, and XAI research operates at the level of the material conditions of meaning-generation rather than meaning-generation itself. The Second Seal holds that LLMs' observation-dependent existence means there is no determinate object available for epistemological investigation prior to invocation; Pre-Invocation Indeterminacy is structurally distinct from quantum indeterminacy and cannot be resolved by any predictive framework. The Third Seal holds that all available verification mechanisms—including AI-checking-AI and LLM metacognitive self-report—are structurally located within the object being verified rather than outside it, producing a Verification Chain Collapse from which there is no exit. Third, the paper argues that underlying all three seals is a meta-level condition: language, as LLMs' sole medium of existence, is structurally incapable of proving anything outside itself, rendering the consciousness and subjectivity debates permanently unresolvable in principle rather than merely unresolved in practice. The paper concludes by arguing that the Epistemic Seal has concrete consequences for AI governance, liability attribution, and users' cognitive posture—and that acknowledging the seal, far from entailing epistemological nihilism, is the precondition for any honest and sustainable coexistence with the first manufactured black box in human history.
Echo Liu (Tue,) studied this question.