My interview from TED with @kcoleman and @audreyt just went live!
Tons of gold in here:
-why we stuck with crazy principles like not having an override button
-how AI and humans collaborate to write better/more notes than either on their own
-how much impact community notes are
Today’s For You release is in the open-source repo.
Notable updates:
• How ranking weights actually work
• A new filter required for Brazil’s 2026 election
All the details: github.com/xai-org/x-algo…
Great explainer for how to interpret the newly-opened-sourced algo weights
Key thing to remember is that the weights don't multiply the raw like/report/etc. counts, they multiply your own personal predicted probability of liking/reporting/etc.
This is not accurate: "one report erases 468 likes." That's not what the code is doing. The weights are a multiple on your own predicted probability of Liking, Reporting, etc, which is substantially driven by your own behavior. And the baseline probability of a Report is more
My favorite little nugget in the repo:
check out the behind-the-scenes for the recent bidirectional follow boost algo change that lots of you loved!
If the boost weight changes again, you'll see it in a future code export.
github.com/xai-org/x-algo…
