Get the latest tech news
Spaced repetition systems have gotten better
Spaced repetition systems are a well-known way to efficiently learn material. Recent innovations have applied machine learning to greatly improve their scheduling.
Even parts of your life that you might not think of as learning-related can be seen through this lens: wouldn’t all those podcasts and Hacker News articles feel more worthwhile, if you retained the information you gathered from them indefinitely? And sure, we can throw in some modifications to the ease factor, but it’s still pretty unlikely that the ideal review schedule is a perfect exponential, even if you let the base vary a bit in response to feedback. This one seems to have originated in a lecture on osmosis.org.The insight of the FSRS algorithm is to concretize our goal (testing “just before we are about to forget”) as a prediction problem: when does the probability of recalling a card drop to 90%?.
Or read this on Hacker News