This is a particularly silly opinion because Lemmy is an algorithmic social media platform. It's just an algorithm that you happen to have access to documentation for. Almost certainly, any fediverse algorithm would have to work on the same principles as Lemmy (open and based on public interactions). Likes and upvotes are king. User similarity ranking is wildly inefficient on the fediverse due to its distributed nature and keyword systems are easily gamed (although some hybrid is possible).
spaduf
joined 1 year ago
This has always been the killer feature of the fediverse. Open non-exploitative content algorithms. So weird to see people against it for no reason.
So, you won't see Mastodon content on Lemmy unless a Mastodon user has posted in a group (the generic term for community, subreddits, etc). For example, here's an exchange I had with some Mastodon users. Groups don't always come from Lemmy and as a Lemmy user you can subscribe to more Mastodon centric groups like !histodons@a.gup.pe or even PeerTube channels like !veronicaexplains_channel@tilvids.com. Direct user-to-user microblog style interaction with Mastodon users is not supported, and that's mostly a design choice of the devs. Projects like kbin/mbin seek to bridge the gap and directly support both experiences.
The Verge has been all in on the Fediverse, and they're probably the biggest advocate in the media. They're also going through the process of switching their entire backend for direct fediverse support. If you have a mastodon or kbin consider boosting this at their official account (@verge@mastodon.social) here: https://mastodon.social/@verge/111891107107406018
Posted elsewhere: Really I mean anything more advanced than keyword filters and grouped feeds. Performance friendly NLP has come a long way since the advent of RSS
We don't need to use that word here
Really I mean anything more advanced than keyword filters. Performance friendly NLP has come a long way since the advent of RSS
Does anybody have any recommendations for FOSS RSS readers with actual content surfacing features? So many RSS feeds are full of junk (this is particularly a problem with feeds with wildly disparate posting frequencies) and I've always felt they'd be a lot more useful if people were putting more effort into a modern way to sort through extremely dense feeds.
Does anybody have any recommendations for FOSS RSS readers with actual content surfacing features? So many RSS feeds are full of junk (this is particularly a problem with feeds with wildly disparate posting frequencies) and I've always felt they'd be a lot more useful if people were putting more effort into a modern way to sort through extremely dense feeds.
This is a great project and I'm surprised by the tone of the response here. I think most folks are forgetting that most of the people dealing with configuration are not programmers by trade. They just need to setup a tool for their use case. To that end, the gap between the existing configuration paradigm and extending their software is practically insurmountable. This language bridges that gap in a robust and purpose built way and that is going to make a lot of people's lives and jobs easier.
Think about homeassistant and how much less fidly it'd be to get advanced functionality or interfaces if the gap between programming and configuration were closed? There is an absolute fuckton of enterprise and scientific software that will improve in the same way.
Material You is increasingly a requirement for me to even use an app on a regular basis.
So frustrated to see how this conversation is playing out. This is exactly what people have been asking for but all anybody can seem to see is "AI" in the headline.
This pivot is about refocusing on:
This seems like a much better position for Mozilla to operate from, particularly because they've excelled at producing ethical SOTA ML for YEARS before ChatGPT. In all, this seems far more forward looking than the previous strategy of "make weird little web tools to make money maybe" and it's an absolutely massive untapped niche, that they already have the talent to tap into. If we punish the players best positioned to shift the industry standard away from extreme and exploitative data collection, we will end up in exactly the Orwellian AI hellscape that we're all so afraid of.