Hello and welcome to QuickLearn. Today we’re talking about a quiet revolution in spaced repetition systems. Traditional SRS tools like SuperMemo-2 follow fixed intervals—1 day, 6 days, then exponential backoff—and reset you to day one on a failure, causing cards to “ping-pong” between long and short reviews. Enter FSRS, a new algorithm that treats scheduling as a prediction problem: it asks, “When will your recall probability drop to 90 percent?” By fitting three machine-learned curves—difficulty, stability, and retrievability—FSRS predicts the optimal review moment for each card. You even choose your desired retention rate and simulate your future workload to minimize study time. Anki added FSRS in version 23.10—you just enable it and run its optimizer. As Domenic Denicola writes, FSRS is a “huge upgrade,” cutting your review load and easing frustration when you forget. If you care about learning efficiently, give FSRS a spin and see your memory transform.
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