Why Kimi-K3 likely avoided fully asynchronous RL
novasarc01 · x · 2026-07-28
A post argues that Kimi-K3 likely avoided fully asynchronous RL because the throughput gains would be offset by policy and environment-state staleness.
It suggests the model’s trajectories can span thousands of tool calls and multiple learner updates, so an actor may resume from a sandbox state the current policy would no longer reach. The post reads Kimi’s partial-rollout design as a deliberate compromise: capturing much of async RL’s utilization benefit without allowing unlimited actor lag.
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