About the machine learning which powers Community Notes, and some implications for dispute resolution
Can the machine learning which X / Twitter use to find and highlight helpful Community Notes also help you find a resolution to your dispute?
It looks like the same principles which allow X/Twitter to find very helpful Community Notes can help you find a solution to your dispute.
(At around 3:45 I say "tweets" when I mean "notes")
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Further reading:
The original Birdwatch paper from the team at Twitter who built this system:
https://github.com/twitter/communitynotes/blob/main/birdwatch_paper_2022_10_27.pdf
Vitalik Buterin offering a slightly more user-friendly explanation:
https://vitalik.ca/general/2023/08/16/communitynotes.html
Transcript of my conversation with Bard AI after I’d read both those papers but still didn’t understand it:
https://g.co/bard/share/17db4a795a58
An excellent explanation of the underlying machine learning system as used by Netflix, with a little spreadsheet so you can follow along. This is what got me over the line in terms of understanding what was going on:
