AI Research and Engineering Insights
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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.
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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.