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RCF-117/Aether-Initiative

Aether Initiative

Aether Initiative is an open, async-first study map for people who want to understand frontier AI and think seriously about AGI.

Aether Initiative 是一个开放、异步、低压力的前沿 AI 学习地图。它适合想系统理解 LLM、视觉模型、多模态、世界模型、强化学习、Agents、持续学习、记忆、认知架构、因果学习和开放式学习的人,也适合还在寻找自己研究主线的人。

The repo is closer to a shared navigation system than a fixed curriculum: read what is useful, leave notes when you have something to say, and build your own path as your questions become clearer.

这个仓库更像一张共同维护的路线图:你可以按顺序读,也可以围绕自己的问题跳读;可以安静学习,也可以贡献笔记、问题、论文卡片、idea 或小 demo。

How This Space Works / 这里怎么运作

  • Learn at your own pace.
  • Use the roadmap when you want structure.
  • Create a personal path when your goal becomes more specific.
  • Share notes, questions, papers, demos, and research ideas when they are useful to others.
  • Keep technical claims grounded in sources.
  • Keep the atmosphere calm, curious, and welcoming.

中文:

  • 按自己的节奏学习。
  • 想要结构时使用总路线图。
  • 有明确兴趣后,可以写自己的个人路线。
  • 有笔记、问题、论文理解、demo 或 research idea 时,分享出来即可。
  • 技术判断尽量附上来源。
  • 保持讨论清晰、友好、低压力。

Repository Map / 仓库结构

.
├── Learning_Areas/      # Reading roadmaps for each direction / 各方向阅读路线
├── Study_Docs/          # Chinese DOCX study notes / 中文讲义型 DOCX
├── Reading_Guide/       # Bilingual guide for using the roadmap / 双语阅读指南
├── templates/           # Note, idea, demo, and path templates / 笔记模板
├── personal-paths/      # Optional personal learning paths / 个人学习路线
├── discussions/         # GitHub Discussions draft posts / Discussion 草稿
├── assets/community/    # Community entry assets / 社群入口素材
├── Code/                # Scripts used to generate study docs / 文档生成脚本
├── GITHUB_SETUP.md      # GitHub publishing steps / GitHub 发布步骤
├── START_HERE.md        # Community intro text / 社群入口说明
├── INTEREST_FORM.md     # Lightweight interest form / 加入表单模板
├── CONTRIBUTING.md      # Contribution guide / 贡献指南
└── CODE_OF_CONDUCT.md   # Community norms / 社群行为准则

Core Roadmap / 核心路线

There is one recommended order for people who want a coherent path from foundations to AGI-oriented systems. The starred folders in Learning_Areas/ mark the current main line.

如果你希望按一条相对完整的主线学习,可以从下面的 DOCX 顺序开始。Learning_Areas/ 中带 * 的方向,是当前更贴近 AGI 体系思考的主线方向。

Main Path / 主线方向

  1. 01_LLM_Foundation.docx
  2. 02_Vision_Models.docx
  3. 03_Multimodal_Models.docx
  4. 04_World_Models.docx
  5. 05_Reinforcement_Learning.docx
  6. 06_Reasoning_and_Planning.docx
  7. 07_AI_Agents.docx
  8. 08_Continual_Adaptive_Learning.docx
  9. 09_Memory_and_Knowledge_Update.docx
  10. 10_Cognitive_Architectures.docx
  11. 11_Causal_Learning.docx
  12. 12_Open_Ended_Learning.docx

Supporting Directions / 支撑方向

  1. 13_AI_Systems_Infrastructure.docx
  2. 14_Diffusion.docx
  3. 15_3D_Spatial_AI.docx
  4. 16_Robotics_Embodied_AI.docx
  5. 17_Neuro_Symbolic_Reasoning.docx
  6. 18_Mechanistic_Interpretability.docx
  7. 19_Social_Learning.docx
  8. 20_Evaluation_Alignment_Safety.docx

Start with:

Learning Areas / 学习方向

How To Participate / 如何参与

Small contributions are valuable here. A useful question, a clean paper note, a corrected link, or a tiny demo can help the next person move faster.

这里很适合轻量参与。一个好问题、一篇论文笔记、一个修正链接、一个小实验,都可能帮后来的人少绕一点路。

Useful templates:

Personal Paths / 个人路线

The shared roadmap gives a common language. Personal paths let different people follow different questions.

总路线提供共同语言;个人路线保留每个人自己的兴趣和节奏。

Examples:

Community / 社群

If this repo is paired with a Discord, Slack, WeChat group, forum, or GitHub Discussions space, the suggested setup is in COMMUNITY.md.

如果你想把这个仓库和 Discord、Slack、微信群、论坛或 GitHub Discussions 配合使用,可以从 COMMUNITY.md 开始。

Current community entry points:

当前社群入口:

For contribution style, see CONTRIBUTING.md. For the lightweight entry text, see START_HERE.md. For an optional signup form, see INTEREST_FORM.md.

贡献方式见 CONTRIBUTING.md。社群入口文案见 START_HERE.md。轻量加入表单见 INTEREST_FORM.md

Publishing Notes / 发布说明

Use official paper links in public docs. Downloaded PDFs, rendered QA images, caches, and local build files should stay local; .gitignore already covers the common cases.

公开仓库里建议使用论文官方链接。本地下载的 PDF、渲染检查图片、缓存和构建文件保留在本机即可;常见路径已经写入 .gitignore

License / 许可证

Released under the MIT License.

本项目采用 MIT License 发布。

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An open, async-first study map for frontier AI and AGI-oriented learning.

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