Ghost Installs via AI Harness
This is a feature and a bug. Somewhat scary, but also has the potential for being cool.
People are doing all kinds of interesting things with LLMs, but the original use case (and the thing I find them to be the best at) is translating from one thing to another; doing what is sometimes called a stylistic transfer. In fact, I believe the transformer architecture was created by Google when they were trying to make a better translate.google.com which should be an indication.
Testing a Spatial Memory Index for Strap
One of the pieces I still need to build for strap is a long-term memory store. As I’ve written about before, strap compresses context to work within small token budgets. But context compression only handles what’s in the current conversation. The bigger question is how to surface relevant memories from past sessions.
The obvious approach is brute-force cosine similarity over sentence embeddings. It works for a small number of stored memories, and it’s fast enough. But I got curious whether a spatial index could do better, and whether you could make that index inspectable at the same time.