JUMPERZ @jumperz 2026-04-02
karpathy is showing one of the simplest AI architectures that actually works..
dump research into a folder, let the model organise it into a wiki, ask questions, then file the answers back in.
the real insight is the loop…every query makes the wiki better. it compounds.. now thats a second brain building itself.
i think this is so good for agents if applied right
instead of pulling from shared memory every session, they build a living knowledge base that stays.
your coordinator is not just coordinating tasks anymore.. it is maintaining institutional knowledge so every execution adds something back to the base.
the bigger implication is crazy tho.
agents that own their own knowledge layer do not need infinite context windows, they need good file organisation and the ability to read their own indexes.
way cheaper, way more scalable, and way more inspectable than stuffing everything into one giant prompt.
2026-04-02
LLM Knowledge Bases
Something I’m finding very useful recently: using LLMs to build personal knowledge bases for various topics of research interest. In this way, a large fraction of my recent token throughput is going less into manipulating code, and more into manipulating
