Notes
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Australian-made AI is independent AI
Organisations in New Zealand, Singapore and well beyond want what Australian-made AI gives Australians, which is AI that nobody else can switch off or change.
AI Research and Engineering Insights
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Notes
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Why we’re getting right behind open weights
The strategy papers your people paste into public AI services can teach someone else’s model how you think. They should be teaching yours.
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
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
Writing our own inference engine in Rust on the AMD MI355X
On the small all-reduce that tensor-parallel inference runs for every token, our from-scratch Rust inference engine comes out about 1.3× faster than AMD's RCCL at its best, sitting on the physical floor of the MI355X.
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
Model Release: Maincoder-1B
Our newest 1B parameter coding model that scores 76% on HumanEval
The ROI of an AI Token Factory
Why owning an on-premise AI Token Factory enables 7.7x more token generation over APIs, cutting AI costs by 87%
Inference Time Licensing
If you ask me where I learned the word “tree,” I cannot give you a neat citation.
Expanding horizons: What I learned about AI’s global future
My visit to WAIC made one thing clear: real-world AI use cases are no longer on the horizon, they’re here. The opportunities are enormous, and the time to build the right environment for deploying AI safely and productively in Australia is now.