Comment by threecheese

You’ve hit the nail on its head here. Almost every piece of information I save has more than one type of contextual relevance, this is not handled by any hierarchical organization system no matter how clever the addressing is. At a certain scale and complexity, I simply cannot remember the magic incantation URL for whatever it is I need. Even search falls apart frequently, because I saved some reference using an abbreviation or synonym to what I think I need.

It doesnt take so much “scale” if one has deficient short term memory/recall/adhd or is (as youve elegantly put it) “too retarded”. (hey - samesies)

Tags/content classifiers/ontologies are I think the solution here, but require continuously grooming your data to ensure it’s classified correctly - a time investment.

My opinion is that modern ML classifiers are helping,l - Ive found some help with tools that recently added auto-tagging - and I think the real magic bullet will be augmenting this capability with relevant personal/activity context. An algorithm can infer much of the contextual relevances that are missing from the current tools if it can match some incoming information to any or all of the areas/topics/projects/horizons/decimal-things that users of organizational tools have decided are important to them.