Same! I made myself years ago a little web app to fetch Wikipedia Current Events, the top n articles of the day (or the week) on HN, and a few subreddits and that's it. I also progressively stopped using Facebook, Twitter, and Instagram. Things are quieter now.
When it's not enough I switch to text browsing via rss and gopher/gemini.
Wikipedia Current Events is very important to make sure that I'm not cutting myself completely off from the world, and after years of using it it's good enough when complemented with the local news from the people around me.
I wonder if you could pipe that content into GPT and have it give you back a summary. I was playing around with this in the OpenAI playground today. I think with a little prompt engineering, this could be very useful.
I've played with the readability lib by Mozilla before to extract articles from web pages and then feed that to the summarizers we had years ago but the result wasn't great. This is indeed different now, interesting!
Another thing that would be great is to use that to identify the news that really matter and mute the rest.
I could imagine a prompt containing something like "As a person that likes A, B, C, D, and F, does the following has a potential to be interesting to me: ..."
When it's not enough I switch to text browsing via rss and gopher/gemini.
Wikipedia Current Events is very important to make sure that I'm not cutting myself completely off from the world, and after years of using it it's good enough when complemented with the local news from the people around me.