Update README.md

README.md

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 About Anki, FSRS and spaced repetition:
 
-1. (unfinished)[Benchmark of spaced repetition algorithms](/Benchmark.md). In this article, I analyze results from the [open spaced repetition benchmark repository](https://github.com/open-spaced-repetition/srs-benchmark?tab=readme-ov-file#result), where many modern spaced repetition algorithms are compared based on their ability to predict the probability of recall. This is the most high-effort piece I've ever written. It will be finished when ~~the next major release of Anki comes out~~ when [Jarrett](https://github.com/L-M-Sherlock) finishes modifying the code for the new dataset.
+1. (unfinished) Benchmark of spaced repetition algorithms. In this article, I analyze results from the [open spaced repetition benchmark repository](https://github.com/open-spaced-repetition/srs-benchmark?tab=readme-ov-file#result), where many modern spaced repetition algorithms are compared based on their ability to predict the probability of recall. This is the most high-effort piece I've ever written. It will be finished when ~~the next major release of Anki comes out~~ when [Jarrett](https://github.com/L-M-Sherlock) finishes modifying the code for the new dataset.
 2. [Note types to avoid pattern matching](/Avoid_Pattern_Matching.md). In this article, I go over some note types that can help you avoid the "I memorized what the answer *looks* like rather than the actual information" phenomenon as well as allow you to memorize the same amount of information with fewer cards.
 3. [A technical explanation of FSRS](/Algorithm.md), where I explain the formulas that are used to calculate the probability of recall.
 4. [Understanding what retention means in FSRS](/Retention.md). I recommend reading this article if you are confused by terms like "desired retention", "true retention" and "average retrievability", the latter two can be found in Stats. True retention table is available in Anki natively since Anki 24.11.