When Confident AI Becomes a Hidden Liability
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Understanding the Risk of Temporal Hallucinations in Modern AI Systems Consider the following scenario. An AI assistant is used to generate authentication logic for a new API endpoint. The response is immediate, well-structured, and technically sound. The code compiles successfully and is deployed into production. However, during a subsequent security audit, it is discovered that the implementation relies on deprecated OAuth standards from several years ago. The issue is not due to incorrect logic, but rather outdated knowledge.