Google's 200M-parameter time-series foundation model with 16k context

https://github.com/google-research/timesfm

GitHub - google-research/timesfm: TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.

TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting. - google-research/timesfm

GitHub

I somehow find the concept of a general time series model strange. How can the same model predict egg prices in Italy, and global inflation in a reliable way?

And how would you even use this model, given that there are no explanations that help you trust where the prediction comes from…

> How can the same model predict egg prices in Italy, and global inflation in a reliable way?

How can the same lossy compression algorithm (eg JPG) compress pictures of everything in a reliable way?

It can't compress pictures of everything in a reliable way.

Text and anything with lots of high frequency components looks terrible

Reliably terrible.