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.
> 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.
3 articles in Top 20 about Israel ?
They should work on how exactly is the significance determined, and significant for whom ?
- 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.
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.