惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

人人都是产品经理
人人都是产品经理
有赞技术团队
有赞技术团队
WordPress大学
WordPress大学
月光博客
月光博客
T
Tailwind CSS Blog
阮一峰的网络日志
阮一峰的网络日志
小众软件
小众软件
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
Last Week in AI
Last Week in AI
大猫的无限游戏
大猫的无限游戏
S
SegmentFault 最新的问题
罗磊的独立博客
Jina AI
Jina AI
酷 壳 – CoolShell
酷 壳 – CoolShell
宝玉的分享
宝玉的分享
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
博客园 - 三生石上(FineUI控件)
量子位
雷峰网
雷峰网
Apple Machine Learning Research
Apple Machine Learning Research
美团技术团队
博客园 - 聂微东
V
V2EX

Hacker News: Front Page

SPICE simulation → oscilloscope → verification with Claude Code — Lucas Gerads Introducing Claude Opus 4.7 Qwen Studio The Future of Everything is Lies, I Guess: Where Do We Go From Here? GitHub - SeanFDZ/macmind: Single-layer transformer in HyperTalk for the classic Macintosh Show HN: Agent-cache – Multi-tier LLM/tool/session caching for Valkey and Redis Ancient DNA reveals pervasive directional selection across West Eurasia [pdf] AI cybersecurity is not proof of work Moving a large-scale metrics pipeline from StatsD to OpenTelemetry / Prometheus GitHub - Nightmare-Eclipse/RedSun: The Red Sun vulnerability repository GitHub - SethPyle376/hiraeth: Local AWS emulator focused on fast integration testing, with SQS support, SQLite-backed state, and a debug-friendly web UI. A Better Ludum Dare; Or, How to Ruin a Legacy GitHub - macOS26/Agent: Any AI, replaces Claude Code, Cursor, OpenClaw. Over 18 LLM providers (Claude, OpenAI, Gemini, Ollama, Zai, HF, Qwen) wired into a native Mac app that writes code, builds Xcode projects, bumps versions, manages git, automates Safari, use AppleScript, JS or Accessibility, extend Agent! w/ MCP Servers, run tasks from your iPhone via Messages. YouTube now lets you turn off Shorts I Made a Terminal Pager Burgers | マクドナルド公式 Commands — HackerNews CLI documentation ChatGPT for Excel PiCore - Raspberry Pi Port of Tiny Core Linux Live Nation illegally monopolized ticketing market, jury finds Google Broke Its Promise to Me. Now ICE Has My Data. Founding Engineer at Adaptional | Y Combinator CRISPR takes important step toward silencing Down syndrome’s extra chromosome GitHub - saffron-health/libretto: The AI toolkit for building reliable browser automations US v. Heppner (S.D.N.Y. 2026) no attorney-client privilege for AI chats [pdf] Unexpected €54k billing spike in 13 hours: Firebase browser key without API restrictions used for Gemini requests Fragments: April 14 Cal.com Goes Closed Source: Why AI Security Is Forcing Our Decision | Cal.com - Scheduling Software for Online Bookings Laravel raised money and now injects ads directly into your agent Codex Hacked a Samsung TV
"Using Obsidian with AI"
sspaeti · 2026-04-24 · via Hacker News: Front Page

Everyone is using Obsidian for AI, or wants to use it in order to get more productive. But I think it’s a dead end.

The reasons are clear: Obsidian notes are open on your local disk in an open format, Markdown, and accessible to everyone, including your AI agents. This makes it as great and easy an integration as possible. But should you actually use AI with your notes? And if so, what are the use cases or ways you should interact with it?

  1. First of all, if you use Vibe Code Agents with Obsidian, use the Obsidian CLI. It will be much faster in returning your files, searching, or doing an action than grepping through the files.
  2. I’m a strong proponent of not generating AI summaries or other on-the-fly generated text in my vault, and this is what I try to do as well. The reason is simple: over time, I don’t know anymore if the content was written by me or AI-generated, and my own, much more valuable thoughts get diminished by AI Slop.
    1. Also, when searching for something, you need to fight through the noise of generated stuff. If you only have your own writing, it’s all valuable, or at least there’s a reason why you noted it down. There was a conviction, idea, or something that moved you.
    2. Yes, it’s good in certain areas, and mostly on-the-spot summaries seem great, but every time I come back to them, I find them very average. It doesn’t help me, as it didn’t highlight the things I would, and I need to reread anyway.
    3. What I do sometimes with Obsidian Webclipper, if I create a new note, is summarize it in one sentence or a few. I clearly mark it as AI-generated and even put it into a quote, so it’s clear to me also in 5 years that it wasn’t mine. If I have added my own thoughts, I just remove it.
  3. Use it as search, like finding related notes. I think this might be the best use case. But don’t use it for tagging etc., because again, all of a sudden, all your relations and connections don’t count anything anymore, as they are not done by you. The power lies in the deliberately created graph of notes, your very own Second Brain.
    1. I don’t use it yet. I might when having a local model, as I have lots of sensitive notes that I don’t want to upload anywhere. Plus it takes away the thinking part of my My Obsidian Note-Taking Workflow. I don’t want to replace my human thinking yet. But I use a mathematical or local model with Obsidian Smart Connections, or the Graph Analysis plugin.

I’m pretty sure if you go all in using AI to generate and create your notes, you will end up with less clarity and fewer insights. You might start fresh very soon, as you won’t get value from it, and stop maintaining or adding ideas.

I think if you have an urge to do something, do it in a separate vault, or just use a database, e.g. DuckDB, and do all the fun stuff with AI. But don’t mix your precious notes and Zettelkasten for it. Not yet, at least, but probably never.


Origin: Li by mehdio, Obsidian
References: Writing is Thinking!