The Headline vs The Reality

“Model trains itself over 100+ autonomous cycles.” That was the headline when MiniMax released M2.7 on March 18, 2026 [1]. It sounds like science fiction: a model bootstrapping its own intelligence in a recursive loop.

The reality is more subtle, more interesting, and more relevant to how we’ll build AI systems in the near future.

What “Self-Evolution” Actually Means

M2.7 handled 30-50% of its own RL (reinforcement learning) workflow: data pipeline management, experiment tracking, log analysis, and automated code merging. It ran 100+ autonomous improvement cycles. That’s genuinely impressive.