Aligning to What? Rethinking Agent Generalization in MiniMax M2

Aligning to What? Rethinking Agent Generalization in MiniMax M2 Rethinking Agent Generalization in MiniMax M2 Community Article Published October 30, 2025 Upvote 44 MiniMax MiniMax-AI It's been fantastic to see the community dive into our new MiniMax M2 , with many highlighting its impressive skills in complex agentic tasks. This is particularly exciting for me, as my work was centered on the agent alignment part of its post-training.

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• Rethinking Agent Generalization in MiniMax M2 Community Article Published October 30, 2025 Upvote 44 MiniMax MiniMax-AI It's been fantastic to see the community dive into our new MiniMax M2 , with many highlighting its impressive skills in complex agentic tasks.
• This is particularly exciting for me, as my work was centered on the agent alignment part of its post-training.
• In this post, I'd like to share some of the key insights and lessons we learned during that process.
• The Real Agent Alignment Problem: Benchmarks or Reality?
• If you've worked with LLM Agents, you've felt this pain: the same model can feel brilliant in one framework and useless in another.
• An agent might crush a tool-use leaderboard but fail spectacularly at a simple, real-world task.