MiniMax-M2 paper just dropped

MiniMax-M2 paper just dropped The key focus of M2 is on something more agent-native. It trains on runnable workspaces and artifact-grounded rewards, then uses Forge to scale RL over long coding, app, search, and office-task trajectories.
Ranked #44 on backlist 2026-05-27 (27 May 2026 UTC) · by (alphaXiv) ·

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