A transformative shift in science is underway, where the focus has moved from proving hypotheses to generating the data needed for training models. This evolution allows for a more automated data stream, enhancing our understanding of causality and repeatability. As researchers leverage tools like smart growth chambers, they are not just testing theories but actively creating the conditions for data-driven insights.
