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News from the lab

Our team in Melbourne writes up its launches, research and engineering here.

All posts

Company

Australian-made AI is independent AI

Matilda is live. MC-3 and our own cloud are next. Australia’s technology independence is no longer a pipe dream, and organisations in New Zealand, Singapore and beyond want it too.

Dave Lemphers · 6 min read

Announcements

Introducing Matilda’s Open Beta: Australian AI, Built for Trust

Today, we’re opening Matilda to a broader group of beta users. Matilda is available at matilda.maincode.com and on the Apple App Store. Matilda is Maincode’s Australian AI system: built from metal to model, designed for thoughtful use, and held to a higher standard for how AI should behave. We’re building Matilda because Australia should have more than access to powerful AI. We should have AI systems that understand our context, reflect our standards, run on infrastructure we can trust, and gi

Luke Borgnolo · 5 min read

Engineering

Building the machine a model actually wants

A model, once you stop thinking of it as math and start thinking of it as a machine, is a dataflow. The weights stream in once and then sit still, the key and value for every token pile up and get read again by every token that follows, and the activations move from a projection into attention into a mixture of experts and back into the residual while a small sum runs between the GPUs so each one ends up holding the whole answer. Serving a model is really just moving those tensors along a path,

Dave Lemphers · 7 min read

Research

Same Dictionary, Different Geometry

Recent work shows Muon representations are more robust and transferable. We ask what that means anatomically: at 124M scale, firing-pattern matching says the sparse features are the same — Muon recovers the AdamW feature set up to seed noise, packaged into a hotter, sparser, more crowded, and more seed-reproducible residual-stream geometry.

Max · 8 min read

Company

What it's like being an AI Researcher on the Matilda team

We interview a lot of candidates who are making the move from academia into industry. It's a big transition and it makes sense that people carry assumptions from one world into the other. There's genuine overlap between the two, but the overlap is incomplete. The part that tends to surprise people most is how much engineering is involved. This post is specifically about what it means to be an AI researcher on the Matilda team, where engineering isn't a side activity but the bridge between havin

Dave Lemphers · 4 min read

Research

The Language of Computer Control Agents

The current focus of frontier AI research is on Computer Control Agents (CCA). The goal of this research is the automation of workflows in web browsers and operating systems on computers and mobile devices. In our previous post, we discussed that most CCAs operate by employing large language models (LLM). Which language do CCAs speak? Evolved Natural Language The origins of natural language date back more than 100,000 years [Miyagawa et al., 2025]. Humans evolved language for coordination,

Kees Bakker · 2 min read

Research

The Future of Computer Control Agents

The current frontier in the fast-paced world of AI research is Computer Control Agents or CCA. OpenAI released Operator and Anthropic its computer use capability. Large language models (LLM) that interact with websites and the apps on our phones like humans do. Vision is enabled via screen captures and actions are mouse clicks, screen touches and keystrokes. How did we get here? The AI Revolution The revolution of language-based AI models started with OpenAI's belief in the scaling hypothes

Kees Bakker · 3 min read