Earlier quoted context omitted.
Modern Java actually allows `10_000` for that very reason, as does Scala ( https://scala-lang.org/files/archive/spec/2.13/01-lexical-sy... )
also javascript - https://github.com/tc39/proposal-numeric-separator
Twitter's Recommendation Algorithm
531–540 of 1001 posts
Re: Twitter's Recommendation Algorithm
#532Earlier quoted context omitted.
IIRC it was very recent, there was a Twitter engineer that was fired after explaining to Elon that the algorithm was not biased against him: https://www.salon.com/2023/02/10/petulant-elon-musk-fired-tw... Almost certainly after that event Elon had them explicitly bump his tweets in their reach.
This speculation seems mostly informed by a negative opinion of Elon. Is there any real indication he gave this instruction?
You seem weirdly protective of Elon fyi
Re: Twitter's Recommendation Algorithm
#533Earlier quoted context omitted.
I don’t see a way out of this with the GPT/AI able to create fake persona in an instant.
What does that matter? If people find the content engaging then it will be amplified. If not, it shouldn't be there in the first place. This whole "AI / Bot swarm" excuse is just smoke and mirrors for "I want more people to pay twitter".
Re: Twitter's Recommendation Algorithm
#534Earlier quoted context omitted.
Are you sure? I didn't notice something like this.
Very sure. I started noticing the issue a couple of years ago (well before Musk's arrival) because I'd find myself thinking 'I haven't seen anything from ____ in a while, I should follow that person', only to discover that I was already following them and their tweets were just not showing up. New follows will generally pop up reliably, but if someone has fallen out of your regular feed you have to work to put them b…
Re: Twitter's Recommendation Algorithm
#535From https://github.com/twitter/the-algorithm/blob/7f90d0ca342b92... ( "author_is_elon", candidate => candidate .getOrElse(AuthorIdFeature, None).contains(candidate.getOrElse(DDGStatsElonFeature, 0L))), ( "author_is_power_user", candidate => candidate .getOrElse(AuthorIdFeature, None) .exists(candidate.getOrElse(DDGStatsVitsFeature, Set.empty[Long]).contains)), ( "author_is_democrat", candidate => candidate .getOrEls…
Re: Twitter's Recommendation Algorithm
#536Earlier quoted context omitted.
I don't believe echo chambers are nefarious - there's no hidden agenda involved with them. That's just how recommendation algorithms work, and it's what most people want. But if someone finds some code that suppresses recommendations from a specific political ideology across the board, that would be nefarious, IMO.
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Re: Twitter's Recommendation Algorithm
#537It's disappointing the comments are so obsessed with the political angle to this that there's a total lack of appreciation (or discussion) of opening up the most influential social media platform in the world.
This is transparency theatre, not actual transparency. There's no way to actually use this limited release to understand how or why any tweet is boosted, so we're in exactly the same boat we were in yesterday.
What is the net benefit from rushing to condemn something that can only be a net positive compared to the past alternatives? I don't understand the purpose of that approach. Help me.
Re: Twitter's Recommendation Algorithm
#538Great! But nothing is going to change until people realize that the problem is the feedback loop . It's not the recommendation engine itself, it's the fact that there's no way "out" of the feed that the engine produces. It recommends you stuff, you have little choice but to engage with it, and then it trains on that information . This is the problem with most of social media today. It is a very well known problem in…
Worth exploring.
Re: Twitter's Recommendation Algorithm
#539Earlier quoted context omitted.
The fallacy of false equivalence systematized in code. Now one side can spew as much disinfo and incitement to violence as it likes, and any algorithm change that prevents this shit from getting amplified will be rejected as bias. BSaaS = Both Sides as a Service
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Re: Twitter's Recommendation Algorithm
#540It's disappointing the comments are so obsessed with the political angle to this that there's a total lack of appreciation (or discussion) of opening up the most influential social media platform in the world.
The funny thing is that angle owes itself to Elon coming through on his promise to open source this. This is a great thing.
You would need, at a minimum, a neutral third-party audit of Twitter's servers to conclude that the source code we see on GitHub is, in fact, the source code running Twitter. How often will they keep their GitHub repo in sync with their internal code, I wonder.
Presumably Twitter uses a version control system. But they scrubbed the history so that's also a point against their "transparency" claims. Without knowing the when and the why of changes you can't understand what you are looking at. People are pointing to that "author_is_elon" without knowing whether that was done before Elon bought Twitter or after.
But even then, git history can be faked.
> This is a great thing.
I disagree. It's the opposite. It provides the illusion of openness without the quality of openness, thus killing the debate once and for all.