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> But what inevitably happens is that you take a break from the system, your interests change and the priorities you assigned 6 months ago are now out of sync w
by gessha 3y ago
> But what inevitably happens is that you take a break from the system, your interests change and the priorities you assigned 6 months ago are now out of sync with your current interests.
Just a small little vacation will throw me off. If it's not part of your daily routine and you're not hellbent on following it, coming back to it takes a lot of activation energy.
> Because the goal is to maximize memory retention, the bulk of your reviews will be focused on the flashcards that are most difficult for you.
It really does feel horrible whenever I review cards because it's hard to make a good card. Sometimes, my style will change and I will have no idea what I meant in a card I made a year ago.
One thing that concerns me with making such a system is that one should be really careful when collecting people's data and preferences and then recommending based on that (thinking of YouTube recommendation slippery slopes).
- jamesbaghurst 3y agoAgree with everything you said. > One thing that concerns me with making such a system is that one should be really careful when collecting people's data and preferences and then recommending based on that (thinking of YouTube recommendation slippery slopes). The plan is for the entire recommendation system to be open source and customisable. Because it's using LLMs as opposed to traditional ML models, it can be more easily reviewed by the end user and customised with natural language prompts. You can see the repo here if you are curious: https://github.com/OpenPipe/open-recommender https://github.com/OpenPipe/open-recommender