This is a collection of personal insights, resources, and experiments centered around the future of AI, its impact on society, and the evolving landscape of technology.
This repository is designed for anyone curious about AI, prompt engineering, future trends, and multi-agent systems.
- Home
- 首页
- Prompt-engineering
- Notes
- Agents
- The AI Coding Technology Behind GitHub Copilot: How to Make GPT Understand Your Code Better
- Are Multi-Agent Systems the Future of AI? A Look at OpenAI’s Swarm Experiment
- 多智能体系统是人工智能的未来吗？探讨OpenAI的Swarm实验
- 简化内核编程：由 LLM 驱动的 eBPF 工具
- Simplifying Kernel Programming: The LLM-Powered eBPF Tool
- GitHub Copilot 背后的 AI 编码技术：如何让 GPT 更好地理解你的代码
- Writing
- Future
- What Will We Remember from the 2020s? Looking Back in history and Thinking Forward
- guidance: 自然语言的编程语言
- Rethinking AI Interaction: OpenAI's Canvas and the Future of User Engagement
- 如何重新定义与AI的互动？Canvas能带来什么改变？
- AI OS
- Guidance: A Programming Language for Natural Language
- AI 插件：未来的浏览器、前端与交互
- AI Plugins: The Future of Browsers, Front-end, and Interaction
- Are AI similar to the computers in 1950s? Look back in histry
- Sure, here is the translation of the content into Chinese:
- 我们会从2020年代记住什么？回顾历史，展望未来
- ai os
- Are AI Similar to Computers in the 1950s? A Look Back in History
- 自然语言编程: 从 AutoGPT 往前迈的一小步
Each section contains well-organized articles and experiments in markdown files. You can navigate using the table of contents in this README or jump directly to the index.
Feel free to open issues or submit pull requests if you have suggestions or want to share your own experiments.