The article analyzes how advancing model capabilities are displacing traditional Harness components such as Context Reset and Sprint Contract, outlines which Harness functions remain essential, and offers engineering practices for co‑evolving Harnesses with ever‑more capable AI agents.
The article outlines DeepSeek's four‑level capability hierarchy—basic multimodal data fusion and dynamic governance, intermediate domain modeling with causal reasoning and multi‑objective optimization, advanced complex system modeling with digital twins and multi‑agent coordination, and ultimate autonomous evolution features such as concept‑space exploration and self‑programming.
The article summarizes interviews with AI entrepreneur Yang Zhilin and investor Zhu Xiaohu, compares their opposing views on AGI, open‑source versus closed models, and investment strategies, then analyzes why e‑commerce AI assistants struggle, outlines viable AI scenarios, defines model capability boundaries, and reviews recent industry trends.
