MK
@mkay
MK
musicOS Alpha
alpha.musicos.xyz
Music NFTs and
Vigorously participatory curatorial subcultures certainly exist, but in practice, they require too much time and energy to have a broad appeal. People enjoy sharing their discoveries with friends, and they may at least occasionally rate and review items. But most people, most of the time, leave the hard work of curation to others — or to algorithm
... See moreROGERS BRUBAKER • Hyperconnected Culture and Its Discontents
Twitter was for talking to everyone —which is perhaps one of the reasons journalists have flocked to it.
Ian Bogost • The Age of Social Media Is Ending
TikTok enables and invites the pointed, witty, playful, allusive, zany and endlessly inventive combination of video, music and text. But the creative energies of its more than one billion users are circumscribed and channeled by the architecture of the platform.
TikTok’s spectacular success in enlisting consumers as producers depends on making produ
... See moreROGERS BRUBAKER • Hyperconnected Culture and Its Discontents
On the old internet, you could show a different side of yourself in every forum or chat room; but on your Facebook feed, you had to be the same person to everyone you knew.
Noah Smith • The Internet Wants to Be Fragmented
Towards Recommender System Optimization: Our Data Tool for Algorithmic Optimization on Spotify [Part 1]
Dmitry Pastukhovmusic-tomorrow.com![Thumbnail of Towards Recommender System Optimization: Our Data Tool for Algorithmic Optimization on Spotify [Part 1]](https://uploads-ssl.webflow.com/6206e1343aa2f122195717f8/6310b1a1447a22ac785a50ae_alina-grubnyak-ZiQkhI7417A-unsplash%20(1).jpg)
Yet, the final component of the streaming ecosystem — artists and their teams — are still pretty much where they were in 2010 regarding algorithmic optimization. Today, most algorithmic strategies follow a kind of "throw spaghetti at a wall and see what sticks" approach: make sure that the metadata you provide to DSPs is as complete and accurate as... See more