Something I will probably carry with me for a longtime from this interview is the concept of expectation and how that can stunt our progress in any field. For example, I like how Alyssa talked about the fact that people stuck with Aristotle's idea of the solar system because it is what they were told to expect and they couldn't look beyond their expectations and notice the imperfections. They would instead just try to contend why this idea was correct or could be correct even when criticizing it.
Katherine made a really good point towards the end of the interview that research and discovery cannot come without imagination. She qualifies why imagination is so important when it comes to research and learning and why she doesn't think humans will ever be able to rely on AI for these things. AI is good at recognizing patterns but does not have the capacity to imagine or think like a human so no matter how capable it may be, it won't help us to truly learn or discover because of its inability to truly be human like. I think this is something that will affect my future and the way I think of AI from now on. I think it's also a good point that needs to be made as humans begin shifting towards AI dependence because it could greatly stunt our advancement as a society due to the way AI works, or also because we don't know how it works.
https://drive.google.com/file/d/1-ekaPTPwz0Y_2pXwfLjAtQ6mLOuwp6ng/view
This is a really insightful post. In the interview I selected, what resonated with me most was that cognitive biases could have a large effect on what should have been a primarily quantitative prediction, so it seems like we are both thinking along the same lines. In this case, it is so interesting that this cognitive bias stunted society's understanding of the solar system for so long.