I agree absolutely. Categories like these imply discretely definable differences across something uniform. That which initially begins as a uniform definition (human beings, mammals, things that have consciousness, individuals, individual life) is then examined for 'properties', in which a collection of 'properties' define not only a label, but implicitly defined, correlative associations to that label (cultural assumptions).
I think that society might eventually find itself moving past linguistic categorization to process absolute information about reality, if the computational calculation of lots and lots of data about the individual becomes so individually defined, so complex, and so multidimensional, that words can not express meaningful information - both generally and specifically, because it is derived from abstracted layers of object data points [data] and the abstract relations that structure and organize them [composition of theory].
Generally speaking, we need the ability to compose correlations from data in order to infer information about day to day things. This is generally called common sense, or rational knowledge. Sometimes it's wrong. Sometimes it's totally irrational. As a ---, I don't see the point in companies pointing out how diverse they are. All I care about is how much I'm going to learn about code, math, and computer science. I want the assurance that I will be treated equally. Otherwise, it's like trying to get a pendulum to stop swinging by pushing it equally hard, the opposing way.
I think that society might eventually find itself moving past linguistic categorization to process absolute information about reality, if the computational calculation of lots and lots of data about the individual becomes so individually defined, so complex, and so multidimensional, that words can not express meaningful information - both generally and specifically, because it is derived from abstracted layers of object data points [data] and the abstract relations that structure and organize them [composition of theory].
Generally speaking, we need the ability to compose correlations from data in order to infer information about day to day things. This is generally called common sense, or rational knowledge. Sometimes it's wrong. Sometimes it's totally irrational. As a ---, I don't see the point in companies pointing out how diverse they are. All I care about is how much I'm going to learn about code, math, and computer science. I want the assurance that I will be treated equally. Otherwise, it's like trying to get a pendulum to stop swinging by pushing it equally hard, the opposing way.