been using this method where i create an outline of ideas I want to pickup and create notes for, then I go down that list and create well-linked, formalized notes for each of those items. This is very useful btw and I use my evergreen notes all the time... but this is suboptimal
very frustrated rn cuz i realized i could've been learning at twice the rate if i was better with handling abstraction levels
start off at very high level, and sketch a map of the various parts with a sentence/drawing/equation for each part and the connections between the parts. this can be incredibly messy, informal, and like a "fat-marker map"... kind of like creating a latent space
AFTER creating this very messy, informal map, turn the components into structured notes for future re-use. Not properly handling this process of going from "fat-marker knowledge latent space" to "evergreen notes' has potentially cost me a damn month
incremental formalization, like @JoelChan86 says, is incredibly important when learning. Adopting such methods and doing some like "latent knowledge space" -> "evergreen notes" process is the game for learning! god damn, wouldve saved me a ton of time if I realized earlier
#roamcult , whats your greatest learning feat and what were you doing when you accomplished it? Any specific practices, mental models, methods?
Also been fascinated by the idea of "Latent Spaces", #roamcult what do you envision the equivalent of a latent space for humans looking like in @RoamResearch ?
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There's designs, curations, and a bunch of stuff that I hope y'all find useful and can spring board off of!
There's also stuff from fellowship work I did last Fall so feel free to take a look there and use that too if it helps
I hope these starting points help kickstart a ton of divergence over the next couple days in #roamcult. I'm down to host a call Friday evening if people are down where we can hash stuff out and converge our designs. Hand it in together and split the loot as Team Carbon.
#roamcult, what is the STRONGEST argument for labelling edges in a knowledge graph?
If I want to say: Topic -> Supported By -> Evidence
I can just tag the [[Topic]] and [[Supported By]] in the evidence's block, then when I go to the topic page, I can filter for supported by.
How does doing, for example, [[[[Supports]]:: Topic]] in the evidence block help?
Like it would save clicks cuz now I can just go to the [[[[Supports]]:: Topic]] page rather than going to the topic page then filtering for supports, but you also have to type more.
the tools you use shape you, i didn't really get that until like this year, but i have a big problem with google chrome and i thiink its messing up my brain
google search bar + tabs makes it too easy to wander instantaneously and lose intention/awareness.
my brain wanders and chrome helps reinforce that behavior until it gets progressively worse at being intentional and directed
made a custom browser called Roam Garden (centered around #roamresearch not google) over the past couple days and it's tailor-made for intentional browsing that really pushes you to architect your browsing behaviors while at the same time helping you garden and make connections