jaybaxter
Joined 15 years ago
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242
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Member since
Nov 26
Machine Learning @ Community Notes
https://twitter.com/_jaybaxter_
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Comment · 2 years ago
X | Machine Learning Engineer - Community Notes | SF, SJ, Seattle, LA, NYC | All Levels
The role: build scalable production machine learning systems and infrastructure, and improve our open source algorithm: https://github.com/twitter/communitynotes
Community Notes has been discussed here on HN a number of times e.g. here: https://news.ycombinator.com/item?id=37292041
Apply here: https://twitter.wd5.myworkdayjobs.com/X/job/San-Francisco-CA...
There are many other positions at the company too, see: https://careers.x.com/en
Comment · 2 years ago
I wouldn't say they were being childishly subversive -- it is very unclear that paper bags are better than plastic bags for the environment.
"Manufacturing a paper bag takes about four times as much energy as it takes to produce a plastic bag"
"Studies have shown that, for a paper bag to neutralize its environmental impact compared to plastic, it would have to be used anywhere from three to 43 times."
https://education.nationalgeographic.org/resource/sustainabl...
Comment · 2 years ago
It is very confusing to me how this got painted as pressure solely from the right. Ackman seemed like the driving force behind it, and he has mostly donated to democrats: "Since 1998, with few exceptions to select Republicans, Ackman has mainly donated to Democratic election candidates. Ackman has donated more than $600,000 to Democratic campaigns"
https://www.influencewatch.org/person/bill-ackman/#:~:text=2....
Comment · 3 years ago
There is a type of advertising called "brand advertising" where the goal is more about brand awareness (e.g. think of a Coca-Cola superbowl ad) than "direct response advertising". Such advertisers don't really care if you click on ads, but they still want to reach high-value users.
Comment · 3 years ago
The code is open source: https://github.com/twitter/communitynotes
The notes and rating data is released to the public every day: https://twitter.com/i/communitynotes/download-data
Feel free to run the matrix factorization code on the data, and then try to interpret the resulting latent dimension it finds for yourself! And also, you can read the code to verify that it really is running a matrix factorization rather than hardcoding a particular left/right split.
Comment · 3 years ago
Indeed, it does this!
>For a note to achieve a high intercept term (which is the note’s helpfulness score), it must be rated helpful by raters with a diversity of viewpoints (factor embeddings)
https://communitynotes.twitter.com/guide/en/under-the-hood/r...
Comment · 3 years ago
How come? Just long hours or something else?
Comment · 4 years ago
Comment · 4 years ago
It started rolling out to everyone in the US in early October, and first version launched at smaller scale back in January 2021
https://twitter.com/birdwatch/status/1578004575990202370?s=4...
Comment · 4 years ago
Hi! Birdwatch ML Engineer here-- these context notes are from Birdwatch. They are written and rated by users, and the notes are only added as context to Tweets if they are rated highly enough by multiple raters who have tended to disagree in the past. The core algorithm is open source as well as all of the data, and there is lots of public documentation about it too:
https://twitter.github.io/birdwatch/
https://twitter.com/birdwatch/status/1585794012052611076?s=2...