I. The bipartite reading of Einstein–Maxwell
The studio's primary physics output to date. A reading of the Einstein–Maxwell system that organises light–gravity coupling into three orthogonal channels — gravitoelectric, gravitomagnetic, and Λ-cosmological — rather than collapsing them into a single tensor expression. Each channel is examined in its own right; together they form a complete three-channel taxonomy.
A 54-round computational audit (v1 → v2.57) has held the conjecture frozen at 0.5 / 11 SPECULATION promotion conditions met — the correct answer when the open problems are open. — from the corpus, Apr 2026
The interactive 3D companion lets a reader walk through each channel visually. Built in Three.js, lives at /theory.html. The paper itself is awaiting editor decision by ~June 10 2026.
II. The Algorithm Lab as research
It's a product. But it's also a piece of history-of-CS pedagogy: every algorithm carries its year, its author, and a brief origin story. The chronological view starts with Euclid's GCD (300 BCE) and ends with Tim Sort (2002). What started as a homepage demo became, quietly, the most comprehensive visual archive of mainline CS algorithms on the open web.
The studio's research thesis on it: interactive figures beat passive video at every measure of learning retention worth measuring. Bret Victor's *explorable explanations* applied to a curriculum domain where the standard pedagogy stopped evolving in the 1980s.
III. aimem as a memory-architecture implementation
A working markdown implementation of seven separate research-paper architectures. Not a thought-piece. Not a framework. A single canonical store of personal context, with per-tool adapters built from it, that you can clone and run today.
The interesting part is what the existence of aimem claims: that the right memory layer for an AI assistant is not a vector database with a magic-retrieval API. It is plain markdown files, organised by a research-grounded taxonomy, with a build step that emits per-tool views. The complexity goes into the structure; the storage stays inspectable.
What's next.
Three more threads quietly underway, in roughly the order they'll publish:
- An empirical write-up of aimem token-economics across one author's twelve-month corpus — the 42% reduction number, audited.
- A short paper on the Algorithm Lab's pedagogical claims, with retention measurements against a control group reading the same content in prose.
- Follow-up to the bipartite-theory submission, contingent on the editor decision.
All of it will land on this page as it ships. RSS feed for the impatient; Changelog for the curious.