ChatGPT became massive because of it's generalisability without needing training a new model for every domain and for its zero-shot learning inference/learning capabilities. If this model can be scaled or easily fine-tuned, it can have huge implications on forecasting in domains where custom models are too hard or too expensive! I am somewhat sceptical and wonder if the big quant firms already have versions of this internally or if not, why no one has achieved these kinds of results until now.