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Learn Your Way: Reimagining Textbooks with Generative AI

(research.google)
359 points FromTheArchives | 1 comments | 18 Sep 25 17:42 UTC | HN request time: 0.203s | source
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anonfunction ◴[18 Sep 25 18:42 UTC] No.45293430[source]▶
Shameless plug but I made a similar tool called asXiv[1] which allows you to "ask" arXiv.org papers questions.

It also recommends questions on initial load that can help understand or explore the paper, here's a demo[2] from the popular Attention Is All You Need paper.

The code is all opensource[3], it uses the google 2.5 flash lite model to keep costs down (it's completely free atm), but that can be changed via env var if you run it locally.

1. https://asxiv.org

2. https://asxiv.org/pdf/1706.03762

3. https://github.com/montanaflynn/asxiv

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sieep ◴[18 Sep 25 19:28 UTC] No.45293909[source]▶
Seems legit, I'll have to try later. Just curious, why didn't you make this a commercial SaaS?
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dingnuts ◴[18 Sep 25 19:38 UTC] No.45294023[source]▶
maybe because every LLM provider has an "attach file" feature so you can attach a paper and then ask questions about it?

what's the value add of the wrapper that this person wrote at all?

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1. ohyoutravel ◴[18 Sep 25 19:43 UTC] No.45294080[source]▶
Right. I do this all the time with Gemini. Add a pdf or a link and ask it whatever I want. It will even turn it into a podcast with two people discussing the entire paper that I can listen to on the tram to work.