[sgdpk]

It looks great. But it's missing one critical feature of "fast-food" apps like TikTok: the content is not easily digestible. Which is understandable, because scientific papers are dense.

Maybe a good idea would be to parse the abstract through an LLM to make it more understandable (maybe caching the results so it's not expensive)? Maybe also using some standard style, like starting with a couple of "dumbed-down" sentences of the article for the non-expert, and progressively explaining better.

[Miguel07Code]

Mm maybe running a local LLM for doing it would be a great idea, I'll try to do that and if it doesn't work well, I'll consider doing it with an API.

[siktirlanibne]

Please don't follow the original comments suggestion; I feel that "easily digestible" is not compatible with what makes the idea shine in the first place. Your suggestion delegating such functionality to a local LLM is quite nice as a choice but adding it as a core functionality is quite antithetical to leverage the arXiv part, without which everything reverts back to a bland and generic whateverTok format.

Although the suggestion seems to be aware of the fact and provides both a good reasoning and a quite good solution (progressively deepening explanations), the implicit information and nuance lost in a summary by an unreliable LLM would undeniably turn this from a useful and interesting idea to a cool party trick no one uses for more than 5 minutes.

[sgdpk]

Cool :) I am a scientist, so having an easier way to parse the abstracts would be most welcome. Keep up the good work.