Hi, Anki has been updated with FSRS, a more modern, science backed algorithm that greatly outperforms SM2 ( https://www.reddit.com/r/Anki/comments/18csuer/fsrs_is_now_the_most_accurate_spaced_repetition/ ) and is roughly on par with modern SuperMemo algorithms, all while being open source and widely implemented. In fact, it may be better than modern SuperMemo algorithms, but the available dataset SuperMemo repetitions is not large enough to say this confidently. It is well documented ( https://github.com/open-spaced-repetition/fsrs4anki/wiki/The-Algorithm ) and already implemented in Python. It seems like it would be straightforward to use with Mnemosyne, even if it required fiddling with the database. It even models the individual users's memory, unlike SM2, and provides optimisation using ML. Are there any plans for FSRS in Mnemosyne?
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