About us
Canberra runs on information. But when it comes to AI, there's a bit of "AI Theatre" at the moment. You're reading the headlines, not the raw intel. You're being sold "solutions" by vendors who don't understand the complexity of people, process, and possibilities.
This is your classified briefing.
At "Canberra AI: Unclassified," we bypass the buzzwords and the bullshit. We pull apart the latest breakthroughs, vendor promises, and policy papers to find the signal in the noise. We don't just read the research; we interrogate it. Our focus is on the operational truth: what this technology can actually do, what it can't, and what the real risks and opportunities are for those inside the wire.
This is a forum for the builders, the strategists, and the quietly ambitious. To ensure open and honest discussion, what's said here, stays here. All discussions are in person only, and are never recorded.
Welcome to the real conversation.
Upcoming events
5

Paper Discussion: Why Do Larger Language Models Learn More?
level 3/44 Sydney Ave, 44 Sydney Ave, Forrest, AUWhy do larger language models consistently outperform smaller ones? Is it simply because they have more parameters, or is there a deeper reason behind the remarkable success of scaling?
In this meetup, we'll discuss the recent paper "Why Larger Models Learn More" (arXiv:2605.29548), which proposes a new theoretical perspective on one of the most fundamental questions in modern AI: why increasing model size leads to better learning and stronger generalization.
Rather than focusing on scaling laws themselves, the paper asks what changes inside the learning process as models become larger, and offers a framework for understanding why larger models are able to acquire more knowledge from the same data.
3 attendees
Past events
274

