作者mehdio发表观点文章，探讨了在Obsidian笔记软件中使用人工智能（AI）的利弊 1。mehdio拥有25,979个文件，总计3.5GB，存储在单一Obsidian库中，并使用Omnisearch插件实现秒级搜索 1。他认为应避免让AI生成大量摘要和笔记内容，以免个人思考被AI生成的噪音淹没 1。他主张将AI用于查找相关笔记等高级研究，而非替代人类思考和知识连接过程 1。
mehdio引用Kepano的观点指出，PDF的摘要是噪音，从PDF中获得的洞察才是信号 1。为提高效率，他建议使用Obsidian CLI与Vibe Code Agents集成 1。同时，他提到Andrej Karpathy的LLM Knowledge Auto Research项目作为反面案例 1。mehdio强调，个人知识系统的价值在于自主思考和手动建立连接 1。
An author named mehdio has published an opinion piece exploring the advantages and disadvantages of integrating artificial intelligence into the Obsidian note-taking application for personal knowledge management 1. The writer cautions against allowing AI to generate extensive summaries and note content, warning that individual thought processes could be drowned out by AI-generated noise 1. Instead of replacing human cognition and the manual connection of knowledge, the author advocates for deploying AI in advanced research tasks, such as locating related notes 1. The article emphasizes that the true value of a personal knowledge system stems from independent thinking and manually building connections 1.
Providing insight into their own workflow, the author maintains a single Obsidian vault comprising 25,979 files that total 3.5 GB 1. To navigate this extensive library, the writer utilizes the Omnisearch plugin to enable sub-second search functionality 1. The piece also suggests integrating the Obsidian CLI with Vibe Code Agents to further enhance efficiency 1. Underscoring the difference between processed text and genuine understanding, the author highlights a point made by Kepano: summaries of PDFs constitute noise, while the actual insights derived from them are the signal 1. Finally, the writer points to Andrej Karpathy's LLM Knowledge Auto Research project as a negative example regarding AI's role in knowledge work 1.
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