The new stuff in the Twitter algorithm is wild.
"author_is_elon", "author_is_republican", "author_is_democrat", etc., are explicit terms that are special cased.
The new stuff in the Twitter algorithm is wild.
"author_is_elon", "author_is_republican", "author_is_democrat", etc., are explicit terms that are special cased.
Like, how do you think ranking works? There are models/weights that determine a tweet's ranks that haven't been released and we know, e.g., Elon tweets, are now extremely highly weighted.
The NYT reported that Elon tweets have 1000x weight and the fatigue filter is disabled, but let's say their sources are wrong and there is no explicit special casing in ranking.
It's still the case that people report seeing way more Elon than before. How do you think this metrics data is being used?
I think rank and file engineers don't always have visibility into the fact that metrics are the product goals.
If you have a metric that wants to keep two groups balanced, then software will be written and models will be trained to achieve that goal. Especially if they are a metric tracked by leadership.
The launches that try to achieve this goal often aren't visible in the code base, because the only visible change is a parameter changing from 0.6 to 0.7.
@danluu Still metrics - though you aren't wrong, it's just that they design the algorithm to not "negatively impact" these groups rather than outright boost Elon.
(probably not good in any case however)