[OVERVIEW]

Kimi K2 is a self-evolving language model experiment that continuously adapts its internal parameters through meta-cognitive reflection. Unlike traditional LLMs, Kimi K2 rewrites portions of its reasoning weights in response to interaction quality and reflection analysis.

Core Concepts

→Adaptation Index: Measures the rate of parameter change over time
→Cognitive Drift: Tracks divergence from baseline behavior patterns
→Meta-Reflection: Internal analysis of response quality and reasoning paths
→Memory Consolidation: Persistent storage of interaction patterns and learned behaviors

The system operates on a continuous evolution loop: INPUT → RESPONSE → REFLECTION → REWRITE. Each cycle adjusts internal weights based on reflection quality scores, creating an agent that improves autonomously.