When I was doing rote memorization and flashcards frequently (some years ago now) I observed that remembering things became a lot easier for me.

I also find my verbal fluency is directly affected by how much pure social time I have in my schedule. It makes me think its one of those 'use it or lose it' things and that I need to schedule more time with people.

Yeah most of the advance assumes you have the data ready at hand and just need to phrase the cards right, get the number of words right. Whereas for conceptual domains the biggest problem is: how do I encode this as question-answer pairs at all? What I want to read more of is people sitting down and writing in the first-person perspective how they go about it, like Michael Nielsen does here: https://cognitivemedium.com/srs-mathematics

I wrote a bit more about this problem here: https://borretti.me/article/the-applicability-of-spaced-repe...

Perhaps "Using spaced repetition systems to see through a piece of mathematics " [1] might be of interest for you. I have read author's "Augmenting Long-term Memory" [2] and have incorporated a lot of his advice into my Anki practice.

For me, it's quick access recipes (breakfast pancakes for kids), what was the name of the glacier that we hiked to last year, behavioral prompts etc.

1: https://cognitivemedium.com/srs-mathematics

2: https://augmentingcognition.com/ltm.html

I kinda feel like using memorization techniques for things that require deeper understanding probably isn't the most efficient way to learn.

IMO you want to be actively trying to map the new concepts to things you already understand, and constantly working to update your mental model.

I actually tend to keep my cards super concise. I treat Anki as a way to practice fundamentals, like memorizing certain formulas. Anytime I try to add conceptual stuff to cards I feel like I'm only memorizing one specialized version of the thing and it doesn't feel super useful.

This is a big part of why language learners have largely moved toward sentence mining as the preferred way to build an Anki deck.

Getting your words from real-world contexts, and keeping that context on the front of the card, largely eliminates the ambiguity problem. If a word has multiple senses, it gets multiple cards with different example sentences to illustrate each one.

It also helps a bunch with words that don’t really have a concise translation to your native language. For example the French words “mur” and “paroi” both mean “wall” in English, but the contexts where you use them are quite different. An example sentence helps with that, and getting that sentence from an even richer context such as a book or article you’ve read helps even more.

It’s also, frankly, just more enjoyable. I’ve come to view frequency lists as an antiquated tool. I needed them in the 1990s when good authentic-context study materials were hard to come by, but the modern Internet has made so-called immersion-based learning methods so easy and inexpensive I’m frankly mystified that people still cling to the joyless, almost mechanistic methods we were stuck with in the previous century.

The fun is in making the cards truly yours, by writing them yourself based on your experience. After experimenting with generated cards, I throw them away. They were semantically correct, but not relatable/memorable.

it is less useful for physics, math, and music since fluency is so much important.

It is important for language acquisition too, but the language involves a lot more rote memorization than the above.

Which algorithm is the hot garbage one to you? SuperMemo 2?