The "right" way is to take endless numbers of videotapes of what's happening outside the video, and feed them into the biggest and fastest computer, gigabytes of data, and do complex statistical analysis -- you know, Bayesian this and that -- and you'll get some kind of prediction about what's gonna happen outside the window next. In fact, you get a much better prediction than the physics department will ever give. W…
Economics also play a large part in how information is parsed. The advancement of AI outside of academia is largely dependent on what it's being used for and how it's being used. Where great strides are being made is in search because it can be monetised and the computational power required is commensurate with the number of users/frequency of use and ROI. A complex model that can provide better insights but limits the number of concurrent users isn't as useful in a commercial sense.