An engineering notebook on AI, systems, and everyday experiments.

用意图-时延矩阵分析23小时生活录音后，发现AI应用图景远超记忆辅助：AI正在演变为认知增强器和行动伙伴，未来交互可能刻在时间轴上而非屏幕按钮中。

After recording 23 hours of life audio, I built the Intent-Latency Matrix to map AI applications. AI evolves from memory outsourcing to cognitive augmentor—proactive assistant, personalized generator, and action partner.

用Apple Watch在嘈杂机舱录音，Whisper Large V3 Turbo竟完整还原了周围所有对话。实验表明：低质量硬件+好算法已超越人类听力，我们正站在现实API可调用的门口。

An Apple Watch + Whisper Large V3 Turbo gave me superhuman hearing in a noisy airplane cabin. This experiment reveals we're at the threshold of a Real-World API—where AI can perceive and structure reality continuously.

o3从问答机器变成真正主动干活的Agent：看图推理修咖啡机、端到端计算拍卖落地成本、分析政策影响、主动优化购买决策，使用量因此暴涨。

How o3 transformed from a query-answer machine into a proactive agent that reads diagrams, calculates landed costs, analyzes policy impacts, and even optimizes purchasing decisions.

用AI拆解银行推荐的结构化票据，理解其收益结构、期权原理和隐含权衡，无需金融背景也能看透产品设计逻辑。

Use AI to demystify structured notes and understand their payoff structure, option mechanics, and trade-offs without financial expertise.

真正的问题不是AI会不会取代你，而是你能不能带好AI。三种Agent角色（教练、秘书、搭档）、默契护城河、构建AI-native的世界。

The real question isn't whether AI will replace you, but whether you can lead AI. Three agent types (Coach, Secretary, Partner), the rapport moat, and building an AI-native world.