Spaced repetition systems have gotten better (domenic.me)

Article summary

The article discusses the improvement of spaced repetition systems, specifically the new FSRS algorithm, which uses machine learning to optimize the scheduling of flashcard reviews. This algorithm has been incorporated into the Anki software, making it more efficient and less frustrating to use. The article also compares Anki's implementation of FSRS to other language learning platforms, such as WaniKani and Bunpro, which use less effective algorithms. The author finds that Anki's use of FSRS has significantly improved their learning experience.

Main themes

• Spaced repetition systems
• FSRS algorithm
• Anki software
• Language learning
• Motivation and autonomy
• Learning effectiveness

What commenters say

• Spaced repetition systems can be limited by their implementation and may not be a silver bullet for learning.
• The effectiveness of spaced repetition depends on the individual's motivation and autonomy.
• Some commenters argue that Anki's use of FSRS is a significant improvement, while others find that it can be draining and lead to burnout.
• The use of spaced repetition can be optimized for time, but may not be optimized for motivation or self-discipline.
• Alternative methods, such as watching educational videos, can be more enjoyable and less likely to lead to burnout.
• The importance of autonomy and motivation in learning is highlighted, with some arguing that Anki's structured approach can be detrimental to these factors.