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Interesting idea ... doesn't fit my style of content consumption, but it might fit yours.

I went for a personal newsfeed, agent pulls news form ~100 feeds related to my interests. Then reads all articles for me and orders them by how interesting they might be for me. I specifically asked for vector embeddings, up/down votes (-2..+2), visited status, LLM content evaluation. Probably there are some other mechanisms I didn't even bother to check. It's a work in progress but I can see myself replacing most of my news reading with it. For many news the AI summary, which contains main idea behind the item is enough for me. As a bonus it resolves clickbait and is quite good at it. Also no ads, ever. For sure I need to implement some grouping because when the popular story breaks I have many stories about the same thing with mostly overlapping details. AI merging them would be quite cool.

I also asked AI to extract my interests from my browsing/watching histories of my all accounts. V2 of my newsfeed might utilize that somehow for better results.

Silly thing is I made it in one afternoon with my only motivation of being slightly more annoyed with the web on that day.

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Particular model or LLM that you use?
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