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jaybaxter

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YouTube testing new ways to offer viewers more context and information on videos

blog.youtube
6 points·by jaybaxter·2년 전·0 comments

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jaybaxter
·2년 전·discuss
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
jaybaxter
·2년 전·discuss
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...
jaybaxter
·3년 전·discuss
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....
jaybaxter
·3년 전·discuss
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.
jaybaxter
·3년 전·discuss
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.
jaybaxter
·3년 전·discuss
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...