The Meta team introduced the S2A attention mechanism to address the issue of false relevance in large language models' responses. S2A enhances the model's reasoning ability through the System2Attention mechanism. In experiments, S2A removes irrelevant text and rewrites context, significantly improving answer accuracy. LeCun endorses this mechanism, stating it assists in making large language models more capable of reasoning. The article details the implementation of S2A and its role in enhancing model performance.