u/jacobgorm

I couldn't sleep because I couldn't stop wondering if anyone had tried using sinusoids instead of B-splines as activation in a KAN, and fortunately/unfortunately that was already the case. I could not find it posted here, so I though I would share in the hope of some insightful discussion.

Arxiv: https://arxiv.org/abs/2407.04149

Github repo: https://github.com/ereinha/SineKAN

Also what appears to be a peer-reviewed "official" publication here: https://www.mdpi.com/2227-7390/13/19/3157

Witchcraft (https://github.com/dropbox/witchcraft), an open source project that I built at Dropbox, is a from-scratch re-implementation of Stanford's XTR-Warp semantic search engine ( https://github.com/jlscheerer/xtr-warp ) in safe rust, using a single-file SQLite database as backing storage, making it suitable for client-side deployment. It runs completely stand-alone on your device, needs no API keys, no vector database, no chunking strategy, no fancy re-rankers, and it is lightning fast (20ms p.95 end-to-end search latency on NFCorpus, at 33% NDCG@10, on an Apple Macbook Pro M2 Max, more than twice as fast as the original XTR-WARP on server-class hardware, at similar accuracy.)

The project also includes Pickbrain, a CLI that indexes your Claude Code and OpenAI Codex session transcripts, memory files, and authored documents into a Witchcraft database for fast semantic search. Ever wondered "what was that conversation where I fixed the auth middleware?" — pickbrain finds it, and lets you resume the session directly. There is also a /pickbrain skill for both Claude and Codex, which equips those tools with global memory across all sessions. You can use pickbrain directly from the command line, e.g., to rediscover a previous agent session and directly resume it, or you can have your agent invoke it via the supplied skill, e.g.,. "use /pickbrain to read up on our previous efforts on training with XTR token masking", to easily populate a new session with previous context.