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I believe Mastodon already does this in web interface.
I believe Mastodon already does this in web interface.
With RSS the person that provided your reader was able to do the same. And you're still able to run your own instance, just like you've been able to run your own RSS reader.
Not comparable, and honestly I find it dishonest that you even try.
RSS can be just a client on your machine, no need for server running in the cloud. That's far less effort involved. Also I wouldn't be surprised if some instances start to close down traffic from "random one man instances" at some point.
Especially that moderation and "for free" usually ends up with power trips being actual payment to the mods
> as long as there are other servers you can feasibly switch to if you don't agree with their definition of "spam".
Not that simple. If server A doesn't like X (not even abuse, might just not like topics that are talked about there), server B doesn't like Y and server C doesn't like Z your only choice is your own instance and that's far more effort than most want to go thru
Maybe it's kind of there in how instances interact, or the post visibility features, or some of the forks like Hometown, but Reader had that right-feeling combo of simplicity, personalization, and built-in network.
The technology to do this existed circa 2000 but I’d never seen anyone give it a serious try. One reason for that I realized is that, for a centralized service, you can get better recommendations based on other people’s preferences.
Assuming you have a huge user base, users will perceive a collaborative filtering interface learns better. My current classifier takes 20 or 50 judgements to start to understand that I like news about the NFL but I don’t want to see articles about that other kind of football.
The content-based model produces a good relevance score (“do I care about the topic?”) but it has no indication of quality apart from that. (Consider how Google is ranking both on query-document match and a quality score.). One input to my system is computer science papers on arXiv and it shows me more papers on ML than I can possibly read, never mind seriously comprehend the abstract in all cases. The relevance score does a great job of vanquishing theoretical CS papers I can’t stand but I wish I saw the 30 best ML papers and not the 30 most tropey. It is gratifying when it shows me papers about how to build this kind of classifier!
After all this I have a lot more respect for collaborative filtering despite how dangerous it is socially.
I don't think Fediverse should necessarily replace RSS, but there's something nice about being able to retweet / like posts in a somewhat agnostic context, just as there is having the option to "follow" feed sources in RSS readers if you want that.
There are a number of Twitter feeds I subscribe to in my RSS reader using nitter.
Ken Sheriff posts a blog post every few weeks. I’d really like to get notified of his blog post the instant he posts and and be the first to post it to HN. To get that kind of immediacy I’d have to poll his blog at an unreasonable rate. His blog is just one of 100-1000 independent blogs that I’d like to follow.
Maybe drop this pointless karma farming attitude, and you’ll realize polling every ten minutes is totally fine.
My current system runs on a 24 hour cadence of training models and getting judgements from me so I don’t need faster than 24 hours updating.
Mastodon (or rather ActivityPub) fixes this by pushing out updates.