Unitree Go2's 720-Degree Backflip: Overfitting or Generalization in Robot Dog Motion?

When a robot dog learns to backflip, should we be cheering for it? As a quant researcher who deals with factor models every day, I'm used to validating every "breakthrough" metric with backtest data. Yufan Intelligent showcased the "Lingmao" robot dog at WAIC, claiming it achieved the world's first continuous 720-degree backflip—what does this move mean in the field of motion control? Is it a qualitative leap in model performance, or just an "overfitting" result in specific scenarios?