A lot of people have seen models like ChatGPT, which have really captured the public imagination. And I think that foundation models are mostly about creating chatbots. Another common misconception about foundation models is that they're only about text. Certainly, some of the most powerful and exciting foundation models and the first ones to come on the scene have been mostly focused on text data. But the principal underlying foundation models, this idea that we can leverage a large corpus of unannotated data, applies to other domains as well. At IBM, we're building foundation models for a wide variety of different kinds of data, everything from geospatial data for predicting of flooding and weather and different geospatial quantities to molecules to data from the operation of cloud systems. So really, any kind of data you can imagine is potentially fair game for a foundation model.