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As someone who conferenced some basic ML research in early 2000s and then left academia for a boring/stable software engineering gig in a non IT org to escape the hype bubble only to end up having to talk to people about ML/AI frequently this article speaks to me.
I’d be cautious that behavior, common experienced events, technology shifts, etc define categories and not the other way around. If the boundaries for generations are arbitrary then inclusion is just as arbitrary and not defined by behavior since behaviors can spread across multiple labels. We all want to belong, but tribalism can be a useful tool to divide humanity against itself. Historic generation labels where distinct boundaries can be observed and defined in an historic context makes sense to me, contemporary generational labels seem like divisive nonsense to me.