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Show HN: A visual AI interface to understand papers/books/topics (kerns.ai)

17 points by kanodiaayush ↗ HN
I feel like LLMs can help me understand anything. However, after I get a summary, I can't dive in to parts that I find interesting; can't refer to original source easily and can't control context with chatbots. This is an attempt to solve for a complete knowledge consumption experience with AI . Please give me feedback!

6 comments

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chermi
Looks very cool! How does it compare to notebooklm?

One feature that may be useful for others that I've wanted is constraining the info the the LLM uses from a given document. I'm self-studying from a math text with pdf I have loaded. Scenario: I'm working on a problem and I want to know if there's any useful theorems or definitions related to the problem, but only from the text up to the problem. I don't want it to give me results from anything in the future of the text, since presumably the author intended the reader to solve the problem using material only up to that point.

You can generalize this, but probably out of scope. Sometimes it's instructive to try to solve a math or physics problem using a restricted set of theorems or ideas. So it would be really cool if you could ask the LLM what results you have at your disposal excepting theorems x,y,z and all results deriving from those.

renjimen
Love this idea of branching chat history and visualising it as a knowledge graph. Also, the site looks very nice and works well on mobile. Wishing you success
kelsolaar
As an Obsidian user, I wish this was part of it! Awesome project.
stogot
This looks fascinating, and really well done! but I’m not sure I want to store it on your server. I’d be willing to pay an annual license for it, to be able to host locally. Bookmarking this!
kanodiaayush
That is great to know; thank you! Would you be willing to pay a bit extra for higher security tiers/privacy?
_boffin_
I really need to get my POC out of beta and out in the world. This UI is polished, but there's several issues with it in terms of usability and extensibility and following the source of knowledge when it gets a large amount of sources

I think you'll have a few more iterations until you figure out that going with this visual graph style isn't optimal.