I'd say it's more than tangentially related. The blog post is about Richard Stallman, his life, and his contributions; it seems strange to not acknowledge the recent controversy surrounding him.
It's the first thing to omit, because in any other discussion about RMS it comes up anyway.
It's like making a video about the career of Mike Tyson and omit the ear-biting part. Wrong? No. It doesn't matter because everyone knows about that anyway.
> Unlike Google they actually listen to their users. They were awesome during youtube-dl debacle.
I wouldn't say they were "awesome" during the youtube-dl stuff. They were slow to respond and non-transparent about what was happening behind the scenes.
Also, user's have been calling for GitHub to terminate their contract with ICE for a long time now[0] to no avail.
GitHub is better than most, no doubt, when it comes to "listen[ing] to their users" but they still have a ways to go.
If there is stance to be made, it should be principled.
Today it's just companies reacting to any specific issue internet mob in social media has. They ban specific people or organizations based on mob activity.
I've had success with Ubuntu, Arch, and Neverware on my old plastic Macbooks. All of them were pretty easy to install and I have no major when complaints using them
This is a quick little project I've spent the past few days working on. This page lets you study and observe the functions from Swift Algorithms[0] in real time.
The HTML/CSS was generated using HyperSwift[1] and the DOM control/manipulation is done with SwiftWASM[2].
That is to say, this is very close to being written 100% in Swift.
That's totally fair. I wish Spotify gave us more granularity in the data we ask for, I don't think we need the blanket permissions a user has to grant us (as someone who just deleted their Facebook and soon Google accounts, this is really important to me).
We've reached out to a lot of local artists here in Atlanta and hope to use the platform to recommend and share their content to those interested.
Hand curating playlists is also a big feature we've been toying with. That's where something like Apple Music's hand crafted playlists are usually a lot stronger than Spotify's computed playlists.
I haven't heard of Calmradio, it's exactly what I've been looking for! I've resorted to listening to music through a cheap FM radio to try and break out of the algorithm hell Spotify tends to put me in.
That's definitely something we're focusing on more now. Like qnsi mentioned, last.fm does a pretty good job of that -- I've been a fan since high school.
We, SameTunes, have an advantage when it comes to calculating a user's affinity for songs, artists and albums. Last.fm ranks your music by tracking how many times you've played (or "scrobbled") a song, songs by an artist, etc. SameTunes uses additional data Spotify publishes (like position in a created playlist, occurrences in your liked music, etc) to build a more well rounded representation of your music taste in the past and present.
There are definitely features we can, and plan to, add to help better portray this data to a user.
