The Model That Rewrote Its Own Scaffold
MiniMax open-sourced M2.7, a 229B sparse MoE model for coding and agentic work. The interesting part isn't the benchmarks — it's the self-evolution loop: an internal M2.7 instance ran 100+ rounds autonomously modifying its own programming scaffold, keeping what worked and reverting what didn't, and came out 30% better with no per-step human direction. That's a different kind of claim than standard RL post-training.
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