Seeing relevant bookmarks when I'm viewing a specific note in my database could be useful though. And finding pull requests related to a subject might also be useful.
So the idea would be to reduce the number of searches performed by the human. Automate and enhance rather than dump and forget.
I really love the idea of digital knowledge bases, but as you said, I think we're leaving a lot on the table. I need to get back to my project of a user-owned-data knowledge base.
It's like a book titled "A History of [Object]" that traces what solved problems before the object, issues with old solutions, the emotional, financial, etc state of the inventor, why they chose this solution over that one, how the object was adopted and improved afterwards, other inventions spawned off the object, etc. Capturing the history of the object requires capturing the context around the object too
If it's not...then there's really nothing "left" on the table — if ever turns out to be valuable, you'll probably come across it again, when needed.
I constantly get a similar feeling. I'm speeding around from task to task, just grasping enough to get the current task done so I can get to the next one and the next one...
And somehow this is value-creating? Apparently it is, but it seems almost accidental, at that rate.
I'd rather slow down and appreciate the value as it moves through me, into whatever I'm doing.
I usually get more from the process, at the same time.
Reminds me of a floating point number. The bigger or smaller they get, the less accurate they become.
If you're chunking on a ton of data and tasks, you're getting less out of it. At a certain point, none of it even seems to enter your brain at all.
I also remember not being explicitly taught that.
It sort of seems like trying to find enlightenment by chopping wood and carrying water at a monastery.
If critical thinking is something that spontaneously emerges in a learning environment, maybe we shouldn’t sell it as a benefit. “Some students experience deep insight into the nature of the mind. Results not typical.”
An example might be: I have to include new AWS resources in a deployment, so I look up information about them, find examples and read about potential problems, security information, etc etc. That then becomes edits in a terraform file somewhere, with a Jita ticket, my own knowledge database (Emacs org-roam files in my case, Obsidian etc for other people). Then the feature branch gets a PR to dev, we might discuss changes in Teams (ugh) or a meeting. All of that seems ripe to be linked together conceptually, but the computer has no way to do that.
It makes me wonder if that could be fed into the right machine learning thing to at least start tracking this sort of work stuff. Heck just synchronizing my Firefox bookmarks (ff lets you tag your bookmarks) with my org-roam instance's tags would be useful. Tagged files in my knowledge base could be automatically linked to similarly tagged bookmarks.