Computing

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.

Prompt不是需求本身，而是用信息搭建的临时世界。新模型实现了context-driven emergence：AI在沉浸式语境中被迫变聪明，从你的草稿和删除痕迹中长出更懂你的能力。

A prompt is a temporary world you construct with information. New models enable context-driven emergence—AI becomes smarter within immersive context, learning your preferences and style from unfinished drafts and deleted text.