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 ?
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.
- 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.