Xiaomi MiMo v2.6 ships with RL as the hero, scaling batch size, env diversity and grader compute
tokenbender · x · 2026-09-22
tokenbender kicks off a deep-dive thread on Xiaomi MiMo v2.6, arguing RL is the real story of the release. The paper's core idea is explicitly scaling three things: batch size and throughput, environment diversity, and grader compute. He notes the large-batch choice is justified mainly by throughput and GPU scaling ease, and wishes the paper had discussed whether big batches help or hinder when training across orthogonal task types.
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