We are on the cusp of being able to plow through vast quantities of literature and data in an instant using multimodal machine learning models. Journal articles are written for people. The landscape is changing. We are headed toward a future where scientist upload data and thoughts en masse into the cloud to be consumed by interpreter models that in turn feed back into the scientific machine. Data quality and attribution (scientist performance rating) is automatically allocated by models.