TinaIch finde das Twitter-Algorithmus Ding ja grade echt spannend.
Aber mag mich mal jemand kurz aufklären, ich hab da nicht mitbekommen, wie es überhaupt dazu kam?
Also, war das ein Leak? Oder beabsichtigt?
Und was heisst das für die Zukunft?
Ich hab hier Postings gesehen, die Github zeigen mit der bisher aktuellen Fork-Anzahl die wohl jetzt schon bei 6k ist?
Auf jeden Fall macht es klar, dass es keinen Sinn macht, über die eigene Bubble hinaus auf Twitter Reichweite zu bekommen. Geschweige denn darüber sinnvolle Interaktionen zu haben. 🤔
Fax3000™
Tim CowlishawInteresting tidbit in the #TwitterCode blogpost
https://blog.twitter.com/engineering/en_us/topics/open-source/2023/twitter-recommendation-algorithm
I'm struck by that 220 seconds of CPU time compressed into 1.5 seconds of perceived latency, and wanted to get a sense of what that means in terms of power use and carbon emissions - how much power (very approximately) is used in a single refresh of the twitter Home timeline?
Some back of an envelope maths: 🧵
Yonei 🪴🌿Twitters PRs on their "the-algorythm" repo are gold, its like a 4chan thread. Been watching them for like half an hour now
#twittercode #twitter #twitteralgorithm
#twittercode #twitter #twitteralgorithm
ekhi 
Birdsite open sourced it’s code, furries do what furries do. 🐾
Adam Cook
Ry4an has movedThe best thing about #twittercode is that people are seeing how nifty Scala is.
Andres JalintonWhat was/is your toxicity score on Twitter?
>0.92
<0.92
0
Other / See results.
Poll ended at .
Scott Hanselman 👸🏽🐝🌮When you’re toxic, just not 0.92 toxic https://github.com/twitter/the-algorithm/blob/7f90d0ca342b928b479b512ec51ac2c3821f5922/home-mixer/server/src/main/scala/com/twitter/home_mixer/functional_component/decorator/HomeTweetTypePredicates.scala it’s that sweet spot of toxic. 👨🏻🍳 💋 /s #TwitterCode
Rod HiltonWant to know something interesting about the #TwitterCode release?
Lots of people are zeroing in on this section of HomeTweetTypePredicates.scala, because they think it proves that Twitter 1.0 was factoring political alignment on a user-level into the timeline mixing algorithm.
Nobody knows what, if any, weights are assigned to these attributes, but them being there shows the algorithm must have had some kind of bias, right?
Nope.
Those lines were added *after* Elon bought the company.
