Learning When Everything Wants Your Attention
Information is everywhere and almost none of it sticks. Learn less, one thing at a time, then write, build and share — and design your environment so focus is the default.
$ cd ./topics/learning-systems
Second brains, spaced repetition and the daily loop that turns scattered notes into knowledge I can actually use. This site is its visible end.
17 notes🌱 3 seed🌿 12 growing🌳 2 evergreen
This garden is the visible end of a learning system. During the day I log anything worth noticing. In the evening an AI assistant helps me distil what’s worth keeping and file it. And older ideas resurface on a spaced schedule so they get another look. Some of those notes grow up and end up here.
Notes in this topic cover that loop (capture, distil, resurface), the methods it borrows from, and how to learn anything when everything is competing for your attention.
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Information is everywhere and almost none of it sticks. Learn less, one thing at a time, then write, build and share — and design your environment so focus is the default.
Log, Review, Discover. Capture with as little friction as possible, review regularly to spot patterns, and make sure every note can be rediscovered later. The loop that runs my second brain.
If you can't explain an idea in your own words, you haven't understood it yet. You've only followed along. Writing it down is how you find out.
Sort work by urgent and important. Do, schedule, delegate, delete. Most real progress lives in "important but not urgent", which is exactly the quadrant that gets squeezed out.
Game hacking and modding forums are, first of all, places where people learn — sharing tools, tutorials and status. The same dynamics that make them great teachers raise the question of where the learning leads.
From a university Zettelkasten to a second brain with an AI librarian — I only capture now, and the system distils, links and brings old ideas back on a schedule.
Reddit's topic-focused communities make it a rich research source. How to collect posts with PRAW and an archive, how to clean them, and the ethics that keep individuals out of your results.
What actually makes an online community — shared purpose, interaction, norms, a platform — and why "member" and "participant" aren't the same thing. The literature behind how I framed forum research.
My final-year dissertation at Kent. Can topic modelling and network analysis of online communities show whether game hacking and cheating forums lead people towards more serious hacking? The question, the approach, the ethics, and what I'd do differently with today's LLMs.
Procrastination is emotion management, not laziness. Reduce the friction with a clear, small next step and a protected block of time to start it.
Draw a platform roadmap like a calisthenics skill tree — prerequisites, tiers and mastery levels — so it's obvious what's locked until the foundations are in.
Spaced repetition is testing plus time. Recall something just as you're about to forget it, at growing intervals, and it sticks for months with far less effort than cramming.
Your brain is good at having ideas and bad at storing them. A trusted external system for what you learn means you never start from scratch, and ideas get recycled instead of lost.
From 60 wpm hunt-and-peck to 100+ touch typing, a detour through Colemak and back, and the split-keyboard, mouse-free setup I use now.
People are more willing to see hacking as legitimate when they feel a system or authority won't listen to them, and they're angry about it. A psychology finding with uncomfortable lessons for organisations.
Specialise for a block. Two or three goals at a time beat ten — in training, where goals compete for recovery, and in teams, where they compete for attention.
A slip box of small, linked, permanent notes written in your own words. The value isn't storage; it's the connections you're forced to make, and the surprises they produce later.