I've been toying with LLM based agents for staying on top of feeds lately. Staying on top of the fire hose was always the challenge with RSS readers, a lot of interesting low frequency stuff from people you follow gets buried under the non stop feed of stuff from high volume news that is actively trying to drown everyone out with many updates per day. Back in the day I solved it by simply not using RSS feeds for high volume stuff. But I was following a lot of interesting people. I miss that.

This is what lead to algorithm based filtering. Hacker News uses a simplistic algorithm but it is definitely using one and it works well enough. It's why I come here. We all collectively vote things up and what remains is nominally interesting enough to skim from the front page. With a bit of editorializing.

Social networks tried to game the algorithms for ad revenue. Which is why they are a lot less popular these days. Sites like Medium, Substack, Tumblr, etc. took over from simple blogs and immediately started raising walled gardens around them to become discovery platforms, have recommendations, etc.

But at least they support RSS. A lot of websites still do. If you run any kind of website publishing regular news or article content and you don't support a feed, you are being an idiot. It's easy, doesn't really cost anything, and you might actually get people using your feed once in a while. Your site might actually have one without you realizing. Most news papers have feeds. They are everywhere. The main issue isn't finding them but sifting through them. It always was.

With agent based approaches, you control the algorithm. That wasn't possible in the past. LLMs can summarize, aggregate, categorize, group, filter, etc.