> Metacademy - "Package Manager for Knowledge" - https://metacademy.org/
> MathLingua - language for easily creating a collection of mathematical knowledge, including definitions, theorems, axioms, and conjectures, in a format designed to be easy and fun to read and write. - https://www.mathlingua.org/
> Learn X in Y minutes - https://learnxinyminutes.com/
> Learn X by doing Y - https://aquadzn.github.io/learn-x-by-doing-y/
> Awesome Lists - https://github.com/sindresorhus/awesome
> ncatlab - https://ncatlab.org/ - I visit the page I want to understand and make sure I understand the meaning of most of the hyperlinks in the first paragraph before I attempt to understand the rest
Many people are also starting to use the bidirectional-link style of note-taking to create their own knowledge graphs. I'm curious to see what sort of tools will emerge in the future to help people share the graphs they've created.
It's easy enough to find reading lists online for a topic, but one of the hardest things about learning a new subject, especially without the help of a teacher, is learning what NOT to spend time on and why.
I tend to spend a few minutes every day taking some interesting links from HN or elsewhere (that I may or may not read that day) and creating entries for them in my personal wiki system.
(This is how I keep track of collections of related links -- for my post above, I just searched for [[knowledge-graph]] tags in my wiki system and copied the results into an HN comment)
I find this most useful for topics that I know I'd like to explore in the future, but just don't have time for right now. The Google search signal-to-noise ratio has lessened so much that I know I'll never be able to find a specific link again unless I remember the exact title, so it's useful to have a way to quickly assign tags to a URL and forget about it until later. Tagging systems are much better than a hierarchical bookmark system for recall later [1].
Then, when I take the time to read about a certain topic, I start taking notes in the .md file corresponding to the appropriate keyword or citation.
The best part is discovering new connections between topics -- sometimes I'll type a [[keyword]] in my notes, and see that several of my existing notes already link to it.
I'm still learning how to best use a system like this, it does take some effort to maintain. Right now what works for me is really short, concise notes about very specific keywords to start. Then I'll do a "synthesis" pass where I'll summarize the relationships between several keywords all in one document, and then make all the keyword nodes in the graph point to the synthesized document instead.
[1] Nayuki, "Designing Better File Organization around Tags, Not Hierarchies" -- https://www.nayuki.io/page/designing-better-file-organizatio...
verb 1. reduce the population of (a wild animal) by selective slaughter. "he sees culling deer as a necessity" Similar: slaughter kill destroy reduce the numbers of thin out the population of 2. select from a large quantity; obtain from a variety of sources. "anecdotes culled from Greek and Roman history" Similar: select choose pick take obtain get glean
noun a selective slaughter of animals. "fishermen are to campaign for a seal cull"
I guess it may be too late to change the name now, but some suggestions:
cognical (nearly the same sound, but no connotation of slaughter, for me anyway)
cognizul (not really sure, just a random one)
cogniqul (not sure, just random one)
The animated graph for instance in https://cognicull.com/en/8e2konlv that shows "If the width of the change stepwise in the time direction is narrowed as follows, it will be a very smooth curve. You can't see the change stepwise, but the last smooth curve is also a digital signal."
-> their bit depth is ALSO changing in their animated picture. So even if the text that follows further addresses that - they are completely missing the point of a good explanation with their illustration.
There is a breadth first way of learning that this site enables, and for applying math concepts in code, this is way more efficient than wikipedia. Like if I want to learn to use the numpy fft package because I want to do something to an audio file, as a non-engineer, I'd use cognicull's FFT example to learn enough about the concepts to be able to use the library features.
However, would it be possible to add an easy way to change language from the page of an article?
Right now to do that, I need to lookup the translation of the title and go back to the summary, which is not convenient.
A dark mode would be ideal.
