We could implement RWKV (not P), the overall experience and workflow would be more similar to FSRS, whereas with RWKV-P it would be more dissimilar and there would be more issues to solve. Though RWKV-P would also provide much more accurate predictions, so it makes more sense to implement that instead. Well, they are the same NN, just used in two different “modes” or “regimes”.
But again
- I asked Alex, he doesn’t want to spend 6-12 months doing Anki development stuff
- As for other devs, they probably aren’t very interested either and there are already 200 other issues to worry about
@dae Suggestion to Damien: Migrating to an NN (Neural Net) - #8 by Expertium
Your opinion is welcome. Just to be clear, as much as I care about predictive power, I’m neutral on implementing a neural net in Anki.
Also, I’m thinking of “FSRS and RWKV-P are both available, and users can choose”, NOT of “FSRS is removed”.
Also, just to clarify, even if you do say “yes”, the willingness to spend 6-12 months on Anki development of the guy who will actually do all the hard work will probably go up only marginally.
I’m just asking if, in theory, having a super-mega-ultra-accurate neural net that can predict the probability of recall based on interval lengths, grades, answer time, hour of the day, day of the week, workload, sibling cards’ reviews, note ID, deck ID, preset ID, phase of the fifth moon of Saturn, and the will of God sounds like something you would approve.