I’m using Feedly (google reader clone) to keep track of my news. However, there are tons of duplicates (same event/topic different sources).

I was just thinking about using text summaries + similarity analysis (possible AI driven) to cluster groups of articles. Are there already solutions for that? I could build it myself, but I’m not exactly the best web dev.

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3 points

This came to my attention recently via someone I follow on Mastodon. I haven’t set time aside yet to set it up and try it out but since I heard about ChatGPT, etc, I thought this would be an excellent use of the tech.

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1 point

That’s pretty much, what I hoped for, but too closed for my taste. I can’t define my own feed to summarize, for example.

(and I don’t get any German news, which is a bummer if you actually live in Germany)

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1 point

I actually wrote to the author, not being from the US too, and they said they are working on a version where you can specify your country/location. Nothing about adding your news sources, though

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2 points

As I wrote in the update above, I might just write it myself, it seems surprisingly easy given the availability of pretrained models.

How fast that will be in practice is another question.

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