Computing

以航海为喻，指出当AI成为蒸汽机后，技术人应从划桨手进化为领航员或轮机长——前者决定方向，后者驾驭引擎。关键不是与机器竞争，而是选择新的角色定位。

Uses the ship metaphor to argue that as AI becomes the engine, tech professionals must evolve from paddlers to Navigators (defining direction) or Chief Engineers (optimizing execution). The key is choosing your role, not competing with machines.

用"笨数据+笨方法+笨模型=精知识"的方法论，将千万字小说转化为可交互查询的知识图谱，介绍线性扫描、语义检索和知识飞轮迭代的技术细节。

Describes building an interactive knowledge graph from a massive Chinese fantasy novel using AI, with a methodology of "dumb data + dumb methods + dumb models = refined knowledge" through iterative refinement.

分析为什么模型越来越强但用户感受不到：App设计滞后于模型能力。对比Claude、Gemini和ChatGPT的产品体验，发现OpenAI是唯一同等重视产品设计和模型能力的公司。

Analyzes why users don't feel AI getting smarter despite model advances: apps lag behind capabilities. Compares Claude, Gemini, and ChatGPT products, finding OpenAI the only company equally prioritizing product design and model capability.

AI帮忙写的文章空中楼阁，不是AI写得不好，是我没喂够context。作为Manager要审核输出，作为Enabler要提供长期积累。判断界限才是协作的开始。

An AI-assisted article failed not because AI wrote poorly, but because I didn't feed it enough context. As Manager, verify output; as Enabler, provide your accumulated materials. Defining boundaries is where collaboration begins.

探讨AI如何通过速度和并行而非智能来变革创意。当时间被压缩、空间被展开，创造从深思熟虑转向遍历筛选，从线性推进变为反馈驱动的进化系统，人类角色也从创作者转向边界设计者。

Explores how AI transforms creativity through speed and parallelism rather than intelligence. When time compresses and space expands, creation shifts from deliberation to exhaustive search, from linear progression to feedback-driven evolutionary systems.