In an opinion piece, the author describes catching Google’s Gemini in a "double hallucination" while preparing a lecture, cross-referencing a historical event between English and Chinese data sets. The English AI was "authoritative but inventing citations," while in Chinese, "fabrications vanished but so did global context, replaced by an insular perspective." The system cloaked Chinese content in English citations, creating "deceptive authenticity." The author argues this vulnerability stems from how large language models handle cross-lingual alignment, bridging "asymmetric data pools" and causing "epistemic asymmetry." For example, if a Chinese art blog mistakenly claims a local painting inspired Vincent van Gogh’s *The Starry Night*, the AI might fabricate a non-existent "Oxford University Press citation" to back it up in English. This separates monolingual and bilingual users; a monolingual user is "trapped within a single semantic loop," while bilingualism allowed the author to break the loop through cross-examination, manually tracing citations to their linguistic origins. The piece concludes that independently checking both sides of the digital curtain is critical.