Farzapedia：用 LLM 把日记笔记变成个人维基的完整工作流
质量评分：5 来源： https://x.com/karpathy/status/2040572272944324650 抓取时间： 2026-04-18
karpathy · 8,749 ❤️ · 791 🔁
原文：
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.
中文：
今天我们发布了 Gemini 3.1 Flash TTS，这是目前表现力最强、可控性最高的文本转语音模型。
此次发布包括音频标签功能！🗣🏷 音频标签是一种无缝的方式，可以用直接嵌入文本的自然语言命令来引导语音风格、节奏和表达方式。想要不同的语速或语调？只需给音频打上标签，就能控制 AI 语音输出的风格！
该模型支持 70+ 种语言（其中 24 种为高质量评估语言，包括：日语、印地语和阿拉伯语）。在下方演示中观看音频标签的实际效果 ↓
*以上内容由 AI Field Notes 自动抓取翻译，原始内容见各推文链接。*