Can we verify AI knowledge without using AI-generated tests?

In Baudrillard's analysis of hyperreality, the distinction between original and copy survives as long as the criteria for telling them apart are external to the simulation system. Once the simulation can generate the criteria themselves — produce the marks of authenticity, the signatures of the original, the evidence-of-having-been-witnessed — the distinction implodes. Not because anyone deceives anyone, but because the test for distinguishing has lost its independence from the thing being tested.

Intelligence-tokens face exactly this implosion. The standard tests for distinguishing genuine expert knowledge from generated facsimile are themselves generable. Citations look like rigor; AI generates plausible citations. Logical structure looks like reasoning; AI generates well-formed argument. Confident hedging looks like calibrated uncertainty; AI generates the calibration markers. Each test that historically separated expert work from amateur work can be produced as surface effect by the same system being tested.

This is the implosion. The lodestone of What actually backs the value of AI-generated intelligence? — the assayer's test for genuine backing — is no longer independent of the system producing the unbacked tokens. Verification becomes recursive: the criteria for verifying are generated by the same process whose output requires verification. There is no firm ground from which to test, because every candidate ground is itself testable for being AI-generated.

Two consequences follow. First, expertise must move to forms that are not text-surface generable: live performance, sustained relationship, embodied demonstration. The Knowledge Custodian survives only by working in modalities where AI cannot produce convincing facsimile, which compresses the territory in which custodianship is possible. Second, trust shifts from artifact to provenance — what matters is not the document but the chain of verifiable human action that produced it. This is why provenance infrastructure (cryptographic signing, accountable authorship, witnessed processes) is becoming load-bearing in a way it was not before.

The strongest counterargument: AI generates plausible verification, but careful verification can still distinguish real from generated. True for now. The implosion is asymptotic — it gets closer to total as the generation systems improve, and the cost of careful verification rises while the cost of generation falls.