undefined | Better HN

0 pointsmochomocha3y ago0 comments

> But, we do have a bit of code that measures metrics on his account, so can we find the bit of code that increases the engagement on his account?

There doesn't need to be. When they run AB tests, it's possible that they'd pick the winning cell if it makes the Elon metrics look better.

Even if the algorithm doesn't do anything explicit about boosting him, it can be tweaked through AB testing to favor him.

0 comments

lhnz3y ago

You mean A/B testing of weights/biases?

mochomochaOP3y ago

No, the "weights" of your model are trained from the input data. What is usually AB tested are hyperparameters of the model, or different "flavors" of (model+input data).

lhnz3y ago

What people are implying is still unsubstantiated though. The engineers on the Twitter Space say that this is to ensure that changes they make do not bias one category over another, they don't say that it's in order that they can make discretionary updates to bias towards Elon Musk.

Maybe after every update to the model, they check these stats to ensure that they haven't biased towards Elon Musk, and if so roll the change back.

mochomochaOP3y ago

? Considering Elon as its own category is a bias.

j / k navigate · click thread line to collapse

0 comments

lhnz3y ago

You mean A/B testing of weights/biases?

mochomochaOP3y ago

No, the "weights" of your model are trained from the input data. What is usually AB tested are hyperparameters of the model, or different "flavors" of (model+input data).

lhnz3y ago

Maybe after every update to the model, they check these stats to ensure that they haven't biased towards Elon Musk, and if so roll the change back.

mochomochaOP3y ago

? Considering Elon as its own category is a bias.

j / k navigate · click thread line to collapse