I'm surprised the transformer model scales here. In NLP the amount of self attention you need is like a few paragraphs maybe, but with time series you'd need to capture millions of data points in the attention blocks in order to correlate with historical trends and anomalous events like Black Fridays or seizures, etc, right? Otherwise what's the point of using transformers?