Also, running models locally requires good hardware to get acceptable performance. It's still a large barrier to entry.
plenty of videos of that you can find online.
So those don't count, because?
Anyone got experience/comments on that? (Presumably one could replicate it with contact lenses, in particular.)
I’ve incorporated many different things into the SRS, from vector embeddings to graph based association to lemma clustering to morpheme linking, and was surprised how much of these I took out.
Most of the unlocks with the SRS have been more in application space. Doing reviews with Anki feels like a chore, and I’m always counting down the reviews left to do. Reviews with Phrasing however are much more addictive, and I routinely spent an extra 30+ minutes in that “ok just one more card” loop.
We will never be able to know with 100% certainty how well you know a card, but FSRS gets us darn close. I think the interesting stuff is less about improving that metric, and more about what can you do with that information.
Thanks to the whole FSRS team btw (I assume y’all will be reading this hn post) <3
And if anyone is curious I wrote up a bit about my SRS here: https://phrasing.app/blog/humane-srs
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