> 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.
Every major RSS reader supports folders. Your problem is that you engage with RSS as if it were a social media feed, with it's single monolithic reverse-chronological feed.
Just don't do that. Stick all the high volume news feeds in a folder, and you can skim read the headlines & hit "mark all as read" once you're done or for whatever other reason don't want to look at the news anymore.
Stick the low volume things you care about in their own folder, and those will remain unread, in their own ordering for you to read at your own leasure.
Even for sites that don't offer granular feeds, every major feed reader offers filtering options, a lot of them offer fairly complex regex filtering.
> This is what lead to algorithm based filtering.
Feed aggregators (and most social media) exist because of discoverability, finding new stuff from new people you hadn't heard about before.
> With agent based approaches, you control the algorithm. That wasn't possible in the past. LLMs can summarize, aggregate, categorize, group, filter, etc.
You'd be spending tens of dollars of compute on something that every major RSS client was doing back in 2006 with the equivalent of less than a single penny worth of current day compute.
> Even for sites that don't offer granular feeds, every major feed reader offers filtering options, a lot of them offer fairly complex regex filtering.
This is true to some degree, but regex filtering or really any strictly logical filtering is often too coarse or too fragile to work well in practice for all but the most dedicated RSS gardeners.
What I’d really like to see is some sort of fuzzier logic that gives the user a more semantic interface to filtering and/or ranking feed items.
Take, for example, the feed for a medium-sized newspaper where you want to filter for/prioritize articles about your local area and particular topics of interest. Those news feeds are often very high volume and don’t make good use of tags or other metadata that can be consumed by strictly logical filtering systems. So a fragile, badly-behaving filtered list is what you’re likely to get. Whereas a fuzzier, more semantic interface (local LLMs?) would be far more reliable and easier to use.
Every major RSS reader supports folders. Your problem is that you engage with RSS as if it were a social media feed, with it's single monolithic reverse-chronological feed.
Just don't do that. Stick all the high volume news feeds in a folder, and you can skim read the headlines & hit "mark all as read" once you're done or for whatever other reason don't want to look at the news anymore.
Stick the low volume things you care about in their own folder, and those will remain unread, in their own ordering for you to read at your own leasure.
Even for sites that don't offer granular feeds, every major feed reader offers filtering options, a lot of them offer fairly complex regex filtering.
> This is what lead to algorithm based filtering.
Feed aggregators (and most social media) exist because of discoverability, finding new stuff from new people you hadn't heard about before.
> With agent based approaches, you control the algorithm. That wasn't possible in the past. LLMs can summarize, aggregate, categorize, group, filter, etc.
You'd be spending tens of dollars of compute on something that every major RSS client was doing back in 2006 with the equivalent of less than a single penny worth of current day compute.