Ash M

We built mechanistic interpretability tooling that runs on a local GPU. Load an LLM or embedding model, then inspect, simulate a train, diff checkpoints, steer, watch a live run, and eval. SAE capture, train, and align; weight and residue diffs; red-team and custom evals. The sections below are the original applied-research writeups, kept in full. Repo: github.com/Aquinf03/AQIT Article: aquin.app/research/interpret…

We Built Minds Before We Understood Them Every generation of technology has a moment where building stops being the hardest part. The early internet was about getting computers to talk to each other. Once that became possible, the real work shifted toward making the web searchable, reliable, and usable. Computers themselves followed a similar path. The first challenge was simply getting them to work. Eventually, the hard problems became debugging, profiling, version control, monitoring, and understanding increasingly complex systems. Entire industries were built not around creating software, but around making software understandable. AI feels like it’s approaching that same transition. For the last few years, almost every breakthrough in AI has been measured in capability. Models have become larger, faster, cheaper, and dramatically better at reasoning. They can write production code, discover scientific insights, generate realistic media, and increasingly operate as autonomous agents. What felt impossible just a few years ago is quickly becoming routine. As these models become infrastructure for companies and products that millions of people rely on, an interesting gap has started to emerge. Our ability to build increasingly capable systems has improved at an extraordinary pace, but our ability to understand why they behave the way they do has barely kept up. Yet when these systems fail, the answers are often surprisingly primitive. A model starts hallucinating after a fine-tune. An agent suddenly develops a strange behavior. A capability quietly disappears between checkpoints. A jailbreak works on one version but not another.