Why Harness Engineering Is the Key to AI Self‑Improvement
Lilian Weng maps out how "harnesses"—software layers that orchestrate LLM execution—can become the backbone of recursive self‑improvement. By treating the harness like an OS, with workflow automation, persistent memory, and tool integration, researchers can accelerate AI agents that upgrade their own training pipelines and deployment stacks.