Computing

Documents an experiment connecting AI to astrophotography robotics. Explores the security-flexibility tradeoff, using Python with class encapsulation, AST parsing, and sandboxing to safely let AI control telescope equipment while preventing malicious code execution.

天文摄影自动对焦算法思考：用信息熵代替星点拟合描述对焦质量，加权曲线拟合优先考虑合焦点附近数据，实现稳定精确的自动对焦。

Apple Vision Pro深度体验评测：分析其作为VR设备的真实定位，探讨适合与不适合的使用场景，以及在日常工作和创作中的实用价值。

A two-week deep dive into Apple Vision Pro reveals it's fundamentally a VR device, not AR. Excels at hands-free scenarios like lying down, exercising, or multitasking with multiple windows, but falls short for office work and VR viewing due to limitations in text density and format support.

A real-world case study of building a complete astronomical observatory notification system in 8 hours using AI assistance. Explores how GPT-4 and Copilot can dramatically boost software engineering productivity across monitoring, server, iOS, and design tasks.

以远程天文台监控系统为例，分享如何在8小时内用AI完成原本需要团队数天的全栈开发。探讨GPT-4和Copilot如何跨越监控端、服务器端、模型训练和iOS客户端提升软件工程效率。

自适应光学入门：大气抖动原理、Seeing Disc和r0参数、波前传感器、镜面校正，以及光场相机和MetaSensor等衍生应用。

总结AI在NLP和计算机视觉领域的三大突破：通用基础模型、生成式模型、会话式UI大幅降低应用门槛，两个领域呈现相似发展趋势。

第三轮迭代：把GPT语音工具封装成Apple快捷指令，构建"点和线"的灵活执行平台，深度集成到手机工作流中。

Third iteration: wrap GPT voice tools into Apple Shortcuts, creating a flexible "points and lines" execution platform that integrates deeply with mobile workflows.