Earlier quoted context omitted.
I doubt he thought he'd get any help for free, given I don't think you can run this code there isn't a meaningful way to contribute. It's just about transparency or PR, take your pick.
He literally tweeted: "No doubt, many embarrassing issues will be discovered, but we will fix them fast!"
Twitter's Recommendation Algorithm
591–600 of 1001 posts
Re: Twitter's Recommendation Algorithm
#592Earlier quoted context omitted.
This is what it means to let another country own your social media. Their ideas and memes unconsciously get preferential treatment. This is maybe not a good thing, but it is what it is.
> Their ideas and memes unconsciously get preferential treatment. I think as this repo shows it's conciously, rather than unconsciously, getting preferential treatment.
Re: Twitter's Recommendation Algorithm
#593Earlier quoted context omitted.
Inaccurate. Musk stated that people you follow will continue to show up. I only use the 'for you' feed when I'm bored and want stupid dopamine hits, I leave it on Following almost all the time. But that's on desktop, my understanding it that it keeps resetting itself for mobile users (of whom I am not one).
He only said that later; he seems to be working on a "say we'll do feature and then change it all after people yell at him for weeks" process.
Re: Twitter's Recommendation Algorithm
#594Earlier quoted context omitted.
[flagged]
I clicked downvote before reading the whole comment. At first I thought you were talking about the red team when you started with "mass riots and violence..." Then I read the rest of your comment and still felt just as good about my downvote. This isn't a constructive comment no matter what "side" you're on.
Re: Twitter's Recommendation Algorithm
#595Earlier quoted context omitted.
Seems dumb of them. Cost is trivial and their competition that isn’t so politically motivated will have a much further reach. The smart move would be silent on the policy change, pay, and support rival platforms as they can. Instead they will eventually pay and look like they lost.
For the NYT to verify their official accounts plus those of their reporters (using the Twitter Blue Affiliations feature) would be $1m annually. This, for a budget line item that has heretofore been $0. In this economy, that's a reach. I don't think the NYT is worried about "reach."
Re: Twitter's Recommendation Algorithm
#596Re: Twitter's Recommendation Algorithm
#597Earlier quoted context omitted.
Doesn't necessarily mean he didn't want it there in the first place. Why else would it be there?
There are millions of lines of code existent. There are thousands added. Your prior for it being Elon's addition should be something like 10,000/1,000,000 or roughly 1/100. The prior that it wasn't Elon's change is going to be something like 99/100. When you add the additional information that Elon wants the code removed, but existing Twitter engineers think it appropriate to keep this actually increases the probabil…
There are hundreds of millions of users. Let's say 300M. Only a single one is special-cased in this code: the narcisistic CEO who reportedly went ballistic when his engagement metrics went down. The prior that it's a change done in response to his demands is 299999999/300000000.
(But of course it was added by existing Twitter engineers. The odds of Musk being able to actually commit code to their repository are zero. Even if he had the permissions, the man simply does not have the technical acumen to make even a trivial change.)
Re: Twitter's Recommendation Algorithm
#598Earlier quoted context omitted.
Also how about.... everyone else in the world who is not an American voter?
Only anecdotally. But ever since Musk took over the amount of US political content has significantly increased in particular from the right despite me not living in the US. It's hard to tell whether previously political content was weighted less and Musk has removed those controls or whether they are now weighted higher.
Re: Twitter's Recommendation Algorithm
#599I found it interesting that there is no attribution. Most other companies list the authors on engineering blogs (eg. Facebook, Uber, etc.)
This topic seems to draw the attention of unhinged people, so I suppose I wouldn't want my name on it either.
Re: Twitter's Recommendation Algorithm
#600 author_is_uwu
That is the biggest problem.