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Clarification

AI perception drift vs hallucination

Clarification between a one-off AI hallucination and stabilized or repeated AI perception drift.

CollectionClarification
TypeClarification
Version1.0
Stabilization2026-05-15
Published2026-05-15
Updated2026-08-08

AI perception drift vs hallucination

A hallucination produces a claim without sufficient support. Perception drift changes the overall portrait: category, hierarchy, scope, relations, time or recommendability. They may coexist, but corrections differ.

Test Hallucination Perception drift
Invented fact Common Not required
Accurate sources possible Yes, but insufficient Yes
Hierarchy problem Secondary May be central
Baseline required Useful Essential to claim change
Correction Claim and source Architecture, framing, source, time or relations

Examples

A fabricated price or certification is hallucination. Real services with a former activity made primary are drift without hallucination. Confusing two companies, assigning one product to the other and inferring positioning combines entity confusion, false claim and category drift.

Decision test

Split facts, verify entity ownership, examine order and omissions, compare with a baseline when change is alleged, and qualify sources and authority.

Absence of hallucination does not prove faithful representation. Difference from the brand’s preferred message does not automatically prove hallucination.