Hacker News Reader

I don't see the dichotomy, both tools seem rather complementary to me.

For example I use LLMs to generate cards for me, and Anki's algorithm to make them stick.

Similarly a LLM plugin could easily present a fresh sentence each time you review a particular vocab

I was thinking the same thing. Currently all my cards try to all follow the same pattern, making it necessary to really remember at based on differences between them. (For example, I would never ask "What happened in 1914?" but instead just "1914" and have "Start of WWI" on the back, as a reversible card). LLMs could take such cards and provide the user with an endless stream of questions: What year did WWI begin? What happened in 1914? Which event took place in 1914? And so on. For vocabulary this might of course be even better when the word/phrase itself will always be contextualized in practice.

I agree that they could be complementary, but I think there's a not-yet-made tool that goes even beyond this, where you are interacting with an LLM that has an Anki-like backend of some kind, keeping track not only the number of mistakes but of what kind of mistakes you made and when, so that it can later bringing up the card in a more natural way.

Reply on news.ycombinator.com