But I would say secondarily, Justin, it's important to not be intimidated by some of the statistical concepts that underpin the building of AI models, what are largely called most broadly AI models, be that machine learning or large language models, and to really begin to pull apart what type of data was used to train the model, how well did it perform? I can't really say where this comes from, Justin, but I think that humans have been fascinated by robots for a long time, and so there's a desire to make these systems seem real, make them seem like us, anthropomorphize AI models so that we can understand them in human terms.