关于 Physical AI、工程工具、传感器物理与软件设计的交汇处。不写创业日记，不发日更。只写值得说的东西。Occasional essays on physical AI, engineering tools, and the strange overlap between sensor physics and software design. No build-in-public diaries. No daily updates. Just the things worth saying.
AI 时代的分界线，不是会不会提问，也不是收藏了多少工具。分界线在这里：你是在消费系统，还是在调度系统。phycyber.ai 的起点与判断。The dividing line in the AI era isn't whether you can prompt, or how many tools you've saved. The line is this: are you consuming the system, or orchestrating it?
主流 AI 编程助手是为不需要接触物理世界的代码构建的。这个鸿沟比看上去更深——也指向了未来十年工程工具的机会。The dominant AI coding assistants were built for a kind of code that doesn't have to survive contact with the physical world. The gap is wider than it looks — and it points to where the next decade of engineering tools will be built.
基础模型越来越聪明，但它们推理的信号依然是垃圾。我们需要诚实地谈论这件事。Foundation models keep getting smarter. The signals they reason over keep being garbage. We need to talk about this honestly.