Same, I have a similar setup. A mix of Obsidian, Cursor (for md), and vibe-coded web terminals as fr...
TL;DR · AI 摘要
Lex Fridman分享其结合Obsidian、Cursor和自定义Web终端的知识管理流程，用于支持播客研究与跑步时的语音交互学习。
核心要点
- 使用Obsidian和Cursor构建个人知识库以应对广泛的研究主题
- 通过动态HTML实现数据的交互式筛选与可视化
- 为特定主题生成临时知识库，供跑步时与LLM语音互动学习
Since I do a podcast, the number/diversity of research interests is very large. But the knowledge-base approach has been working great.
For answers, I often have it" / X
Lex Fridman on X: "@karpathy Same, I have a similar setup. A mix of Obsidian, Cursor (for md), and vibe-coded web terminals as front-end. Since I do a podcast, the number/diversity of research interests is very large. But the knowledge-base approach has been working great. For answers, I often have it" / X
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Same, I have a similar setup. A mix of Obsidian, Cursor (for md), and vibe-coded web terminals as front-end. Since I do a podcast, the number/diversity of research interests is very large. But the knowledge-base approach has been working great. For answers, I often have it generate dynamic html (with js) that allows me to sort/filter data and to tinker with visualizations interactively. Another useful thing is I have the system generate a temporary focused mini-knowledge-base for a particular topic that I then load into an LLM for voice-mode interaction on a long 7-10 mile run. So it becomes an interactive podcast while I run, where I ask it questions and listen to the answers to learn more. Anyway, heading out for a run now, thanks for the write-up 
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