This paper describes semantic communication as an arbitrary loss function. I reject the logical approach to semantic information theory described by Carnap, Bar-Hillel and Floridi, which assumes that semantic information is a logical function of Shannon information mixed with categorical objects. Instead, I follow Hirotugu Akaike’s maximum entropy approach to model semantic communication as a choice of loss. The semantic relationship between a thing and a message about the thing is modelled as the loss of information that results in the (...) impression contained in the message, so that the semantic meaning of a bear’s footprint is the difference between the actual bear and its footprint. Experience has a critical function in semantic meaning because a bear footprint can only be meaningful if we have some experience with an actual bear. The more direct our experience, the more vivid the footprint will appear. In this model, what is important is not the logic of the categories represented by the information but the loss of information that reduces our experiences of reality to functional communication. The hard problem of semantic communication arises because real objects and events do not come with categorical labels attached, so the choice of loss is necessarily imperfect and illogical. (shrink)