Technical writing from the Mutuus project. More accessible than papers, more substantial than tweets.
Echo Field just ran its first away-field benchmark on 18,840 real arXiv sections. 100% recall parity with brute-force, 18x faster at 500K vectors, and churn-stable under continuous mutation. Here's what we found.
We promised the full benchmark numbers. Here they are: every operation, every scale, wins and losses. Vec is still faster at some things. Nacre Array is faster at others. The crossover points tell the real story.
Mother-of-pearl is 3,000 times tougher than the crystals it's made of. The secret is layered organization with flexible mortar between rigid segments. We built an array that works the same way.
Data structures are benchmarked at birth, compared as static objects, and optimized for a single moment in time. But biological systems invest in costly metabolic machinery that pays off across a lifecycle. What if the overhead isn't the problem, but the investment?
Every system that stores sequential data eventually hits the same wall: cold data costs the same as hot, inserts require shifting everything, and there's no way to split without copying. What if the structure itself knew the difference?
Every Mutuus primitive goes through a rigorous gauntlet before we claim it deserves a place alongside conventional approaches. Here's the process -- for both organics and metabolics -- and why we publish our failures too.
After billions of years of evolution, biology has solved optimization problems we're still wrestling with in computing. Mutuus is a research framework cataloging what it found.