MirrorEthic / About

Garret Sutherland

I'm a self-taught AI researcher and systems builder. I spent seven years as an industrial electrician before founding MirrorEthic — and the trade shows in the work: I trust instruments over vibes, I design for failure, and I don't call something done until it's been load-tested.

The lab runs on a compute cluster I built at home, doing work that usually takes a team: architecture research with real peer review, production agent infrastructure, and hardware that closes its own quality loop. The common thread is self-observation — I build systems that check themselves, and I hold the research to the same standard.

If your problem has a feedback loop in it — or should — I'd like to hear about it.

Entity
MirrorEthic LLC
Focus
Self-regulating AI systems
Program
T³ / Geometric Homeostasis
Stack
PyTorch · CUDA · MCP · Klipper · 6-node cluster
Papers
1 under review (TMLR)
Open source
PyPI, Hugging Face, GitHub

How this lab happened

One loop, closed five times.

Every project here is the same shape: a system that observes its own output and corrects itself. The lab itself was built that way — each stage produced the tools the next stage needed.

2014–21

The trade

Industrial electrician. Control loops, fault-finding, and systems that fail safely — the instincts everything else is built on.

2024

MirrorBot

A conversational-safety layer for a live Discord community — built on intuition and iteration, deployed for over a year across tens of thousands of interactions. Its real product was the questions it raised.

2025

Those questions, formalized: a Clifford-algebra transformer architecture and a multi-year research program on self-regulating computation — multi-seed, preregistered, under peer review.

2025

The mesh

A six-node compute cluster that routes its own context, monitors its own training runs, and heals its own services. ~78K lines of infrastructure, 9 systems in production.

2026

The fab node

The loop goes physical: agent-designed parts, printed and camera-inspected autonomously. Its first shroud dropped a training GPU from 81 °C to 61 °C.

MirrorBot deserves an honest word. It was built in my pre-rigor phase — instinct-driven, informally evaluated, and deployed live because that's how I learned. It worked well enough to run for a year, and it tracked regulation signals that turned out to matter. But its lasting value wasn't the deployment; it was discovering, firsthand, what informal evidence can't prove. The T³ program exists because I wanted answers that would survive someone else checking. That transition — from a system I believed in to claims I could defend — is the actual origin of this lab, and the reason rigor is in the name.