Muse Spark compresses its reasoning to solve problems using significantly fewer tokens. After compressing, the model again extends its solutions to achieve stronger performance.
这种思维压缩-扩展的循环过程暗示了AI可能发展出类似人类的抽象思维能力，先提炼核心再展开细节，这一发现对理解AI推理机制和未来优化方向具有重要启示。