@seclink: Luo is truly impressive, with another big innovation, calling on all major companies to learn...
Summary
Fuli Luo shared extended research on the MiMo-V2.6 model in reinforcement learning, focusing on enhancements in computational scale, environment, and toolchain.
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Professor Luo is truly remarkable, delivering another major breakthrough. This is something big tech should take notes on and learn from…
Fuli Luo (@_LuoFuli): Nearly half a year of silence. We spent it studying one problem: how far RL can scale.
MiMo-V2.6 is in the middle of its RL run right now. Three things we scaled: compute (~2B tokens per step, 1568 prompts × 16 rollouts, fully async), environments and harnesses (multi-task
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@seclink: 确实不错 ,最近 mimo 发布 2.6 flash 了,我也快速用上了.
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