Part of this is a corruption in the field/industry that results from greed and chasing a gold rush. Many "AI/ML" teams have been doing more alchemy than scienc

Part of this is a corruption in the field/industry that results from greed and chasing a gold rush. Many "AI/ML" teams have been doing more alchemy than science. One memorable team "revelation" was when they figured out the hard way that many objects and human subjects, in particular, register completely differently based on the imaging spectrum used (e.g. human visible light, versus near infrared wavelengths). People familiar with the "old ways" probably would have considered this to be obvious, but it seems that the "new ways" are often correlated with an absence of domain knowledge related to what the "new ways" are being applied to. This isn't a new story, and history seems to repeat itself.