In practice, even relatively small systems can surface meaningful structure. I’ve been using sparse regression (SINDy-style) on raw solar wind data and was able to recover things like the Sun’s rotation period (~25.1 days estimate) and non-trivial scaling laws.

What becomes limiting pretty quickly is compute efficiency when you scale candidate spaces, so compiler-level optimizations like this feel directly relevant to making these approaches practical at larger scales.