模型与实验室 5.0 · 必读 2026-06-07 · X

Farzapedia:把个人数据变成可导航的个人维基百科

Farzapedia,把自己的数据变成个人维基百科这是继 Karpathy 那条Wiki LLM推文之后的一个优秀案例 我非常喜欢这种个人化方案,相比AI 用得越多就越聪明这种默认模式,有以下几点优势: 显式(Explicit)记忆产物是一个明确可导航的 wiki,你可以精确看到 AI 知道什么不知道什么,可以检查和管理这个知识库,即使你本人不参与写作(LLM 代劳)关于你的知识不是隐含的不可见的,而是显式的可查阅的 属于你(Yours)你的数据在你自己电脑上,不在某个 AI 提供商的系统里...

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Farzapedia:把个人数据变成可导航的个人维基百科

Author: @karpathy Source: X/Twitter Date: 2026-04-04 Quality Score: 5 Tags: ai-tools, personal-wiki, llm, knowledge-management Category: uncategorized Fetch Date: 2026-06-07

English Original

Farzapedia, personal wikipedia of Farza, good example following my Wiki LLM tweet.

I really like this approach to personalization in a number of ways, compared to "status quo" of an AI that allegedly gets better the more you use it or something:

1. Explicit. The memory artifact is explicit and navigable (the wiki), you can see exactly what the AI does and does not know and you can inspect and manage this artifact, even if you don't do the direct text writing (the LLM does). The knowledge of you is not implicit and unknown, it's explicit and viewable. 2. Yours. Your data is yours, on your local computer, it's not in some particular AI provider's system without the ability to extract it. You're in control of your information.

3. File over app. The memory here is a simple collection of files in universal formats (images, markdown). This means the data is interoperable: you can use a very large collection of tools/CLIs or whatever you want over this information because it's just files. The agents can apply the entire Unix toolkit over them. They can natively read and understand them. Any kind of data can be imported into files as input, and any kind of interface can be used to view them as the output. E.g. you can use Obsidian to view them or vibe code something of your own. Search "File over app" for an article on this philosophy.

4. BYOAI. You can use whatever AI you want to "plug into" this information - Claude, Codex, OpenCode, whatever. You can even think about taking an open source AI and finetuning it on your wiki - in principle, this AI could "know" you in its weights, not just attend over your data.

So this approach to personalization puts *you* in full control. The data is yours. In Universal formats. Explicit and inspectable. Use whatever AI you want over it, keep the AI companies on their toes! :)

Certainly this is not the simplest way to get an AI to know you - it does require you to manage file directories and so on, but agents also make it quite simple and they can help you a lot. I imagine a number of products might come out to make this all easier, but imo "agent proficiency" is a CORE SKILL of the 21st century. These are extremely powerful tools - they speak English and they do all the computer stuff for you. Try this opportunity to play with one.

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