
Recency weighting makes FSRS pay less attention to old reviews and more attention to recent (newer) reviews.
Source: https://imgur.com/a/calibration-of-different-fsrs-versions-KfJ32EV

Recency weighting makes FSRS pay less attention to old reviews and more attention to recent (newer) reviews.
Source: https://imgur.com/a/calibration-of-different-fsrs-versions-KfJ32EV
The following picture summarizes it …

An addon that allows to see the size of your collection. Especially useful for large collections that may be larger than the allowed size limit.





From 6.8.1 back to 6.6.2 …
“Anki 25.01 Beta 1 revealed a bunch of regressions with the latest
Qt, and zero reports of improvements from it, so we’ll be better off
holding off on it for now, and perhaps reporting the deadkeys issue
to Qt once we’ve got a proper reproduction process.”

https://github.com/ankitects/anki/commit/cd1824165ffb0ba06f573e1e26f28078a35d93a9
It adds a future projection, although the vertical line has been removed for the sake of simplicity.


“L2 regularization will let the optimization become more stable/conservative for new users when they only have a few reviews for training.”

First 2025 Release.


