<tldr>Train the AI of the future on Amelia Bedelia books</tldr> I disagree with how they draw a distinction between metaphor and literal constructs in language

<tldr>Train the AI of the future on Amelia Bedelia books</tldr> I disagree with how they draw a distinction between metaphor and literal constructs in language. As we are all in our own heads experiencing the world, language is an interface to pass meaning from one reality to another. Over time humanity has used language to arrive at a collective consensus on the meaning of words that describe shared experiences. At this point, all language is on a metaphorical scale where the depth of a personal knowledge determines the success of understanding the input. This is coupled to a positive/negative reinforcement mechanism that builds a history of interactions that helps determine what language will convey the intended meaning in an appropriate context. It does not seem that these two features, knowledge graph and track record, are outside the realm of possibility for computation. Given a deep enough knowledge graph and a means to query outcomes of past experience it seems that this feature of "seeming human" would be possible.