AI

记录通过迭代式问题解决开发自动截图功能的经历。关键经验：优化问题定义而非仅优化提示词、从"最小可行真相"出发锚定工作流、根据任务需求匹配合适的AI模型能力边界。

Recounts building an automated screenshot feature through iterative problem-solving with different AI models. Key lessons: refine the problem not just the prompt, anchor in a "Minimum Viable Truth," and match AI capabilities to task requirements.

记录通过语音输入、全天候录音、可穿戴相机和Agentic系统拓展与AI沟通带宽的实验。提出"赛博长生"作为务实的生命观，通过提升生命密度、质量和边界来放大创造力与影响力。

Chronicles experiments with voice input, all-day recording, wearable cameras, and agentic systems to expand AI communication bandwidth. Introduces "Cybernetic Immortality" as a pragmatic philosophy to increase life density, quality, and cognitive boundaries.

四个科幻故事探讨智慧成为云服务的未来：预算化情感交互、用生命换认知积分、被折叠的寿命、以及AI同调率的天赋差异。追问当人类最珍视的内在品质变成外部商品时，世界会发生什么。

Four speculative stories exploring a future where wisdom becomes a cloud service: budgeted emotional interactions, trading life for cognitive points, folded lifespans, and innate AI sync rates. Asks what happens when humanity's most coveted inner qualities become external commodities.

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.