Is AI reasoning right for the wrong reasons?
Quanta Magazine
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Large reasoning models (LRMs) have demonstrated remarkable achievements like solving complex math problems and winning math olympiads, yet research reveals they often rely on superficial shortcuts rather than genuine reasoning. Despite impressive feats, LRMs exhibit inconsistent reasoning reliability and failure modes, raising questions about the nature of AI reasoning.
