A newly proposed technique addresses large language model tail latency by simply sending every request twice and returning the faster response. This redundant execution strategy effectively bypasses slow outlier requests to significantly improve overall system responsiveness. Ultimately, it provides developers with a highly practical and low-complexity solution for optimizing LLM performance.