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Xiaomi MiMo Team Discloses Reinforcement Learning Progress for MiMo-V2.6

Xiaomi MiMo team lead Luo Fuli said on X that the company’s new MiMo-V2.6 model is currently in reinforcement learning training. Luo said the team has spent nearly the past six months researching how far reinforcement learning can scale, and is now expanding three areas: compute resources, training environments and task systems, and reward evaluation mechanisms.

Original source

AI take

The disclosure matters less as a product update than as a signal about where a hardware-first company is placing its AI bets: reinforcement learning scale, not just pretraining, is being treated as the competitive axis. The three named expansion areas — compute, environments and task systems, and reward evaluation — are the same bottlenecks that constrain every frontier lab, so Xiaomi is publicly benchmarking itself against that field rather than against phone-makers. Whether the six months of scaling research converts into a shipped capability, and how the team characterizes results once training concludes, is the open question.

Generated by AI for reference only.

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