Consider the potential implications of LLM variants of machine learning and neural nets, which are able to bring in a wider context of knowledge to a signal processing problem with a complicated fingerprint, such as ENSO or QBO The ML model doesn’t care that it’s going outside the scope of accepted tribal knowledge, it will just crank away and present what the fingerprint matches might be. Better predictions will be a result.