Serendipity is too important to be left to chance (1996)
web.media.mit.edu
web.media.mit.edu
I've a concept of boards/themes where you can add structured information like people (to remember contacts in context), bookmarks, thoughts, tasks and even RSS feeds to stay up-to-date on a theme (e.g battery tech). Emails and calendar will be coming soon so that your personal corpus is voluminous and of high enough quality to make a personal GPT actually useful. E.g "who was the CTO I met at the dinner last week".
FWIW I'm already a founder of a company so this isn't intended as a commercial pitch.
a) require considerable and routine manual data entry from the end-user
b) suck up every bit of data from e.g. email, phone, messaging apps, banks and end up with some privacy/security disaster
Anyway, there are all sorts of things you could do with that data, like trawling for novel links in your social graph.
I agree point b is a minefield and given my info is on the system, I've got skin in the game to make it secure.
Apparently the word was inspired by the fairy tale "The Three Princes of Serendip" [1], the latter being the Persian name of Sri Lanka. In the story, the princes would constantly find interesting things by accident.
[1] https://en.m.wikipedia.org/wiki/The_Three_Princes_of_Serendi...
I think in a way social media is the PKM backdoor. People share near-everything about their personal lives in exchange for likes. On the flipside, you have a pretty good record of what you've done, where you've been and your feelings at the time.
I think LLMs will give new breath to PKM.
[1] https://en.wikipedia.org/wiki/Personal_knowledge_management
Not like chatgpt, which is a random garbage spewing agent leaving it to chance
There is a nice retro screenshot of Emacs after this. Looks like a really old version of Emacs. A nice window into the history of computer stuff!
What you really get serendipity is from re-encountering things you don't know or have forgotten. And we know how to predict if you have forgotten something: spaced repetition and the forgetting curve! To manufacture serendipity, you simply track 'flashcards' of important things, but optimize for the opposite of the normal spaced repetition goal: you want to review only things you are predicted to have forgotten by now.
https://gwern.net/note/statistic#program-for-non-spaced-repe...
Then, as a Remembrancer agent, you make it show preferentially items that are similar but you have probably forgotten. (The Remembrancer agent can be treated as a fraction of a review, on the grounds that even just showing you the title briefly can trigger serendipity and if it didn't provoke any reaction from you, then that is evidence it is not useful and that title should be downweighted and show up less.)
You can increase the odds, so that it is likely to happen more often. You can't engineer an instance of it. You can't compute it. If you could, it wouldn't be coincidence; it would be design!
The short end of it is something like: serendipity = work + telling people about the work