If you look at the GitHub repo, most of it is READMEs describing systems, not the models or code subleties which actually give explanations into how certain weird behaviors on Twitter happen. (e.g. the preference of certain users in the For You tab. EDIT: bad example, since there appears to be a flag for that in the code, although it does not specify which users are on the list)

LOL. My algorithm at twitter had been very simple-

See tweets from people I followed.

Don't see tweets from people I didn't follow.

Trust people I follow in their retweets to signal something interesting.

Unfollow unhelpful people.

Once that algorithm was rendered impossible, I left twitter.

Haven't missed it.

Having someone say- here's the way we are going to promote something to you- doesn't make me inclined to accept the promotion!

Do we "gotta hand it to Elon" for not missing one of his 40-50 self-imposed deadlines and feature announcements?

Did he? Considering the vast majority of the algorithm is waved away as “ML model”.

Where is the file containing accounts that are artificially boosted? We can guess what its single line is, but how is it incorporated into the algorithm?