Xiaomi opens MiMo-V2.6 models and RL infrastructure

What's this about?

Xiaomi released Pro and Flash weights plus training code, 7,000-plus RL environments and composable harnesses. It reports 750,000 trajectories over six days and sizeable DeepSWE gains.

What exactly is scaled reinforcement learning?

The model attempts tasks, receives checkable rewards and updates from many trajectories. More compute helps only when environments and graders reward the intended behaviour instead of shortcuts.

What's the community saying?

1. Price-performance and released infrastructure drew more interest than headline scores.
2. Users want to reproduce results across different harnesses and providers.
3. Early local reports include tool-loop problems, so deployment recipes matter.