Your notes look really interesting, thanks. I'm curious --from the prose style it's clear they were written by an LLM. For design notes like this do you sort of have a mental TODO to go back and write them up in your own words to make sure they really capture your own opinions?

For the design notes like: https://zby.github.io/commonplace/notes/designing-agent-memo... - I iterate over and over to clean them. This one is also a compilation with many intermediate documents.

But the reviews are written automatically - here are the instructions: https://github.com/zby/commonplace/blob/main/kb/agent-memory...

Overall the knowledgebase is a mixture of these. I have this disclaimer on the first page:

This KB is itself agent-operated: a human directs the inquiry, AI agents draft, connect, and maintain the notes. The framework for building knowledge bases is documented using that framework.

I hope it is enough - I've seen many people get angry with publishing LLM generated work.

love the "Borrowable Ideas" section. would suggest to definitely borrow them.

full disclosure: we started as a context infra company (nex.ai) from long long before Karpathy even came up with the LLM wiki idea, and have barely exposed any of that stuff to WUPHF but starting to open some of that now. glad to see the concerns in the comparison are things that our context infra already built for.

still, happy to collab & share learnings, and of course avoid duplication.

yes, generative slot machines are isolating. You say you "wish there was a chance"? As if there isn't?

taking a look :)

I mean honestly this stuff is now in roll your own territory now. Run QMD on an obsidian vault and that's like 80% of the way there and you can probably do that in < 2 hours