I built an Obsidian plugin that finds and helps you tidy up the notes you once thought were important but that have quietly gathered dust. It’s out now as an official community plugin.
Hard to spot in the graph view
As a vault grows, so do its notes and backlinks.
When links pile up and cross-connect, the graph view turns a note into a catch-all that seems connected to everything. There’s plenty of information, but that abundance is exactly what keeps you from reaching the note you actually want.
Six years ago, in the very first piece I wrote here, I described the small magic in our pockets. The magic that stretches memory almost forever, and blurs the line around who owns knowledge. Since then my notes kept growing. The magic kept its promise and pushed my memory further and further outward.
And now I stand on its other side. Too many to find.
The papers I’m curious about but never sit down to read
I keep running into papers and long essays I’m genuinely curious about. The curiosity is real; the focus to sit down and read them is not. Reading is active work, and I rarely find the slot for it.
The time I do have is the passive kind — a commute, a walk, the few minutes I spend staring out a window. That time arrives whether I plan for it or not, and for this kind of material those moments are actually the best ones: listening slots into them in a way reading never will. So what I want isn’t a summary to skim or a transcript. I want the thing broken down plainly enough that it comes in just by listening, hands free.
Generative AI has become capable of telling sophisticated lies indistinguishable from human ones.
Precisely because of such an era we must not delegate “understanding” itself to AI.
Gathering and interpreting information in our own way and putting it into your own words has become ever crucial. Because without it, connecting disparate knowledge and experiences to form a single thread, will be impossible.
This act of “connecting the dots” is the essence of thought: a domain that must never be delegated to others let alone AI.
I saw a new step in the revolution so I’m writing it down. I got a new face.
You’re what you are seen is the same perspective in the computational world and in the non-computational world. However, the difference is that in the former world we can go beyond of our appearance that is tied to the non-computational world. In reality, ML and traditional computation are merged with the non-computational world, and the definition of “What am I in this world? keeps changing. Rethinking how to be in this world, it is surely more of the state of fusion than ever. The data used to create the new face is the mugshots of the non-computational world, but let us not forget that it was predominantly the gift of the visual arts of collective wisdom.
