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I've been thinking of using GPT or similar LLMs to extract flashcards to use with my spaced repetition project (https://github.com/trane-project/trane/). As in you give it a book and it creates the flashcards for you and the dependencies between the lessons.
I played around with chatgpt and it worked pretty well. I have a lot of other things in my plate to get around first (including starting a math curriculum) but it's definitely an exciting direction.
I think LLMs and AI are not anywhere near actual intelligence (chatgpt can spout a lot of good sounding nonsense ATM), but the semantic analysis they can do is by itself very useful.
In case folks are interested in trying it out, I just released the Obsidian plugin[1] for Khoj (https://github.com/debanjum/khoj#readme) last week. It is not ready for prime time yet but maybe something to try out for folks who are willing to be beta testers.
It creates a natural language search assistant for your second brain. Search is incremental and fast. You notes stay local to your machine.
There's also a (beta) chat API that allows you to chat with your notes[2]. But that uses GPT, so notes are shared with OpenAI if you decide to try that.
See the announcement on reddit for more details[3]
[1]: https://obsidian.md/plugins?id=khoj
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