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News Minimalist [1] is one way, where it aggregates stories across outlets and uses LLMs to remove clickbait from titles. It also assigns loose 'scores' to each story to approximate how 'important' it is, which I've found to be directionally useful.

Ultimately, it comes down to why one consumes news at all. If it's to have something to discuss around the water cooler or dinner table, that's a very different use case than someone trying to pattern match on world events for trading stocks or selling their wares.

[1] https://www.newsminimalist.com/



Interesting concept.

"Today ChatGPT read 6997 news articles and gave 0 of them a significance score over 6.5."




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