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Researchers have discovered a surprising weakness in Large Language Models (LLMs): images of cats. A recent study demonstrates that these seemingly harmless inputs can act as ‘query-agnostic adversarial triggers,’ causing reasoning models to become confused and produce unexpected results. This vulnerability, highlighted in a post on Reddit’s r/artificial intelligence forum, reveals how carefully crafted inputs can exploit inherent flaws in AI systems.