Harness Engineering and the Path to RSI
AI寒武纪 · wechat · 2026-07-08
The post summarizes Lillian Weng's deep dive on "Recursive Self-Improvement (RSI)." The core takeaway is that a more realistic near-term path isn't directly rewriting model weights, but optimizing the execution system surrounding the model, known as the harness. The harness—responsible for planning, tool calling, context management, and result evaluation—is deemed just as critical as the model itself.
Related event: Lilian Weng and Sakana AI Explore Harness Engineering for RSI(4 posts)→
More from coding & agent
- Scoble says AI “loops” really means long-running multi-agent workspaces — Scobleizer · 2026-07-22
- Open-source runtime lets each repo define its own AI code reviewer — ibabufrik · 2026-07-22
- Indie Dev Asks: What's Actually Broken in Your AI Agent's Memory Today? — AcceptableTime7937 · 2026-07-22
- Fractal adds recursive agent loops for complex multi-step workflows — ryanpettry · 2026-07-22
- ACM essay says AI did not make programming easier, only differently difficult — tchalla · 2026-07-22
- Building a Multimodal Agent Orchestrator from the Ground Up — dair_ai · 2026-07-22