MiniMax (official)(@MiniMax_AI):A key leap in M2.5 comes from large-scale RL training across hundreds of thousands of complex environments. This significantly improves performance in environment adaptation, long-horizon tasks, agent alignment, and inference efficiency. Plenty of ups, downs, and surprises along the way 🫨 Definitely worth the watch! @olive_jy

MiniMax (official)

@MiniMax_AI

Code: @MiniMaxAgent MiniMax Design: @Hailuo_AI API: Token Plan:

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MiniMax (official)@MiniMax_AI

2026.02.26 01:19

A key leap in M2.5 comes from large-scale RL training across hundreds of thousands of complex environments. This significantly improves performance in environment adaptation, long-horizon tasks, agent alignment, and inference efficiency. Plenty of ups, downs, and surprises along the way 🫨 Definitely worth the watch! @olive_jy_song

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