As uncle @JensenHuang would say, that loser premise makes no sense to me. Capability doesn't advance only as a smooth race for the biggest general model or the most FLOPs. The frontier is jagged, and the cleanest illustration is the strawberry problem. Ask a model that can hold its own with a physics PhD how many R's are in the word "strawberry" and for a long stretch it would answer two, confidently, every time. The same system could work through a graduate-level proof and then insist 9.11 is a bigger number than 9.9. Each specific embarrassment gets patched as it goes viral. The shape underneath survives every patch, that is - enormous strength in some places, sudden collapse in others, and no way to tell which ground you're standing on until you test it. But counting letters and numbers are funny failures. The expensive version of the same problem shows up in security. Hugging Face was mid-incident, working an agentic attack, and needed a model to review logs. The commercial frontier models refused due to "safety" reasons. From inside a guardrail, a defender reading attack traffic and an attacker reading attack traffic look identical, so the safest available behaviour is to decline. The team switched to an open-weights model on their own infrastructure and got the analysis done. The most capable system in the room was the one that couldn't help, at the exact hour it was needed. That refusal is one of many permanent structural feature of general-purpose models, and it sits right on top of a business. Aether AI operates in the gap between those two failures, and @tryaether_ai AI is Australian. So telling Australian founders the game is over at the model layer, dig up some lithium and prepare a robot tax, is exactly the wrong message. The scoreboard was never general-model scale. It's about who owns the jagged edges that customers, regulators, and national security actually pay for. Australia can own plenty of them. Some of us already do.