This was too complicated --- I always stumbled on the order of filename and linkname.
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The early cards were mostly very simple things: facts about TDGammon (which used a similar approach to beat Backgammon), very basic facts about how Go works, and reinforcement learning and Monte Carlo Tree search.
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Of course, I didn't master all the literature around the paper. But I think I made pretty rapid progress coming up to speed.
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Now, just to write one article that wouldn't necessarily have been a good use of time. But a nice thing about Anki is that the information is retained. When the AlphaGo Zero and AlphaZero papers came out, they were very easy to read.
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Verb form: I talk and think of "Ankifying" a paper or book etc.
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It's easy to overdo it, especially initially, and waste time Ankifying useless info. Over time, I've found myself cultivating heuristics for how much to Ankify.
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E.g., for many papers the answer is 0 to 5 questions. But for papers I want to understand better it might be 20 to 40. And for deep papers that I want to master it may be hundreds.
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Lots more to say, but I'll leave it there for now.
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Do you often have a large queue of unlearned cards? Am learning a new language (which makes this my default state). I am up to 60m / day to learn ~20 mature cards / day — would be fascinating to extract task difficulty (or brain metrics!) from log db.
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I go through about 100 cards most days, in about 15 minutes, longer if I get behind. Sounds like my cards are a lot simpler than yours.
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