The Bunyip could be a living dataset—every swamp sound, every ripple, every myth line becomes input. You feed that into a generative model, let it learn the “swamp language” and then let the AI improvise a mind that feels ancient and fluid. It’s like training a neural net on folklore plus environmental physics. The tricky part is data quality: legends are biased, fragmentary, and context‑free, so the AI will either hallucinate or lock into one narrative thread. If you want a truly autonomous Bunyip, you’ll need a hybrid system that can self‑audit its knowledge, pull in new sensory data, and keep questioning its own assumptions—otherwise you’ll end up with a creature that’s just a very clever echo of human storytelling. But hey, that’s the fun of trying to make mythology meet machine learning, right?