FSRS just works, even without a GPU so it's not the cool kind of AI / machine learning these days.
No joke though: the FSRS model is marvelous, and Anki remains one of the best free + open source implementations around.
I've been learning German recently and Anki (in FSRS mode) is one of the most important learning tools I have. No joke.
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Every card remembers every rating you give it, as well as the time / date. This allows for Anki to solve for a 'forgetting curve', and predict when different cards have a chance to be forgotten.
There is furthermore the machine learning / stochastic descent algorithm to better fit the assumed forgetting curves to your historical performance. This is the FSRS Optimize parameters button in the settings panel.
> Every card remembers every rating you give it, as well as the time / date. This allows for Anki to solve for a 'forgetting curve', and predict when different cards have a chance to be forgotten.
True to a point; every card has its ratings, but the "forgetting curve" algo of FSRS is only tuned to the deck (or "option set") that the card is in, not per card.
The entire FSRS parameter set (~20+ parameters, depending on FSRS version) is per deck.
Each card is tuned to... 2 parameters IIRC? f(Difficulty, Stability, Time) == Retrievability. Time is just time so its not really a parameter, but Difficulty and Stability is solved on a per-card basis.
