Xiaomi opens live MiMo 2.6 post-training dashboard
Xiaomi has made its internal post-training reinforcement learning dashboard publicly accessible, offering real-time visibility into the training run of its upcoming MiMo-V2.6-Pro and MiMo-V2.6-Flash models. The dashboard exposes granular telemetry including actor and critic loss dynamics, gradient norms, token throughput, accumulated compute expenditure, and progressive evaluations on benchmarks such as DeepSWE v1.1.
Opening up live post-training telemetry is an audacious display of engineering confidence that demystifies the murky, expensive reality of reinforcement learning at scale.
* Exposing real-time loss curves and training metrics sets a new standard for transparency among major tech companies, contrasting sharply with the closed-door practices of leading AI labs.
* Tracking live performance against agentic benchmarks like DeepSWE highlights the critical industry transition from next-token pre-training to post-training reasoning and multi-step tool use.
* Public visibility into training instability, reward trajectories, and compute expenditure offers invaluable empirical insights for the broader open-source AI research community.
DISCOVERED
2h ago
2026-09-17
PUBLISHED
7h ago
2026-09-16
RELEVANCE
AUTHOR
krackers
