6 posts
Arachne's response cache returned 'Brasília' to anyone asking about France — cosine 0.8531 against a 0.85 threshold. The story of a bug born in a CI investigation, the math that hid it, and the entity guard that fixed it without sacrificing recall.
Arachne's vision pipeline evolved: qwen2.5vl:7b on Ollama WSL, arachne-vlm-jobs queue with arachne-vlm-w1 worker, SQLite vlm_cache.db cache (sha256), polling GET /api/extract/image-jobs/{id}. Vision requires JWT, PYTHONPATH api/ and PostgreSQL not SQLite.
From the wave field theory paper to BitMamba-2 1B: how a study on wave propagation became the TatuEngine inference engine, and why the Ollama truncation loop (num_ctx 4096 vs 262K) became the Docs First rule that runs across the entire ecosystem.
Out of 78 posts, only 1 was about studies — the Ollama truncation loop. But it was in the studies that wave field theory, Mamba SSM and the BitMamba-2 1B were born. The story of what the blog's most neglected section actually produced.
MCP became the universal connector (published on the official registry), FTS5+vector became hybrid search with RRF, ai-jail isolated the agent and Ollama brought AI home — and the lessons became rules: docs first, plan first, stop and ask.
Hermes kept entering a continuation loop 4 times before giving up. The cause: Ollama, by default, only allocates 4096 context tokens — regardless of the model supporting 262K. The hard way: num_ctx of the model ≠ num_ctx of the inference slot.