At the end of the day, if training or doing inference on the ML model is massively more costly in time or compute, you'll iterate much less with it. I also thi

At the end of the day, if training or doing inference on the ML model is massively more costly in time or compute, you'll iterate much less with it. I also think it's a dead end to try to have foundation models for "time series" - it's a class of data! Like when people tried to have foundation models for any general graph type. You could make foundation models for data within that type - eg. meteorological time series, or social network graphs. But for the abstract class type it seems like a dead end.