# Anticipated Features in 24.10

**URL:** <https://forums.ankiweb.net/t/anticipated-features-in-24-10/51056>\
**Category:** Help\
**Created:** [October 23, 2024, 2:49am UTC](https://forums.ankiweb.net/t/anticipated-features-in-24-10/51056 "2024-10-23T02:49:31Z")\
**Posts on this page:** 1\
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**Author:** ![Expertium](https://sea2.discourse-cdn.com/flex002/user_avatar/forums.ankiweb.net/expertium/32/24176_2.png) [@Expertium](https://forums.ankiweb.net/u/Expertium)\
**Post date:** [October 24, 2024, 11:52am UTC](https://forums.ankiweb.net/t/anticipated-features-in-24-10/51056/38 "2024-10-24T11:52:31Z")

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I suppose we need to conduct an experiment. I want you to do the following:

1. Choose any collection (or your own).
2. Select n, where n \< total number of reviews. For example, if your collection has 10,000 reivews, you can set n=1,000.
3. Optimize parameters based on n reviews.
4. Increment n by 1.
5. Optimize parameters again. If the new ones are better **for the new dataset** , keep them, otherwise keep old parameters.

Repeat the procedure described above until n=total number of reviews. In order to speed it up, you can increment n by 10 or 50 instead of 1, if you want to.

I want you to do it twice: with a fixed seed and with n used as seed. Then we’ll see whether there is a difference.

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