Xiaomi MiMo v2.6
- Source
- mimo.xiaomi.com
- Author
- volf_
- Date
Context
Xiaomi describes MiMo-V2.6 as an effort to improve agents through richer practice and feedback. Its release article says training mixes coding, general , visual and cybersecurity tasks across several agent frameworks, so that gains in one capability reinforce the others.
The article also describes grading attempts by comparing them within a group, which Xiaomi says gives long-horizon tasks more precise and more varied reward signals. A plain pass-or-fail score treats two successful attempts alike even when one takes a much longer route. Xiaomi says its grading steers the model toward shorter paths and fewer generated tokens per task. Here, self-improvement describes a managed training process with grading and defenses against reward hacking, where a model exploits the scoring instead of doing the task.
- AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
- distillation — Training a small, cheap model to imitate a big one's outputs, keeping much of the capability at a fraction of the cost.
- mixture-of-experts — A model built from many specialist sub-networks where only a few activate per token, giving big-model capability at small-model running cost.
- open weights — A model whose trained parameters are published for anyone to download and run — unlike API-only models you can access but never possess.
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