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News Minimalist: > It uses AI (ChatGPT-4) to read the top 1000 news every day and rank them by significance on a scale from 0 to 10 based on event magnitude, s
by raamdev 3y ago
News Minimalist:
> It uses AI (ChatGPT-4) to read the top 1000 news every day and rank them by significance on a scale from 0 to 10 based on event magnitude, scale, potential, and source credibility.
https://www.newsminimalist.com/ https://www.newsminimalist.com/
- testHNac 3y agoMost of the articles in top 10 seem to be about Ukraine. I understand the war is significant, but 5 articles in Top 10 ? 3 articles in Top 20 about Israel ? They should work on how exactly is the significance determined, and significant for whom ?
- rkangel 3y agoSignificance is obviously subjective, but you can definitely make an argument that "major world power is trying to take over a country" is significant. It's been going on for a while which makes it harder to feel like it's so important, but it really is.
- yakhinvadim 3y agoHey, author here. That was the initial idea. Significant events don't stop being significant once we get tired of hearing about them. But there's definitely a problem of duplicates. When separate news sites post about a similar event it get rated relatively similar by ChatGPT, which creates clusters like we see today. I want to solve this soon by combining similar stories into single block with one title.
- rkangel 3y agoThat's another problem I had noticed from a bit of a play (similar problem with boringreport), so I'm glad you're already on it! I've signed up for premium.
- yakhinvadim 3y agoThank you so much! Hope to fix it soon.
- yakhinvadim 3y agoAuthor here. I plan to add a "how it works" section, but the basic idea is that each news story is rated on several parameters: - scale is the number of people affected by the event described in the news story. - magnitude is the strength of the effect. - potential is the likeliness of the event to lead to other, more significant events. - source credibility considers how trustworthy is the source, and what is its track record. Then these parameters are combined into a single score. Also fair criticism re: repeats. I plan to solve this by clustering similar news, so one event is only given one title.