Language as ghost in the machine

The term "Ghost in the machine" is usually referencing to artificial intelligence which allows a robot to do useful things. The body is the robot's hardware and therefor the software is soul realized in software. With such an understanding, Artificial Intelligence is an advanced computer program based on AI related algorithms.

But what is if this working thesis is wrong? The assumption is, that AI can't be realized in hardware and also not in software. But Artificial intelligence is similar to a ghost very hard to identify. Its basically natural language. In other words, the ghost is an English dictionary. Its not stored in the software itself, because language is a communication pattern used as in between technology.

Natural language will become only visible if a human speaks with a robot. The human formulates a request like "move forward" and the robot responds to this request. Therefor, the AI isn't stored in the robot itself, but its located in air between human and robot. This would explain why it has much in common with a ghost which also has no measurable location in the reality. But a ghost is located beyond, which is the environment of the reality, or some sort of hyperspace.

Let us try to describe language from a more scientific perspective. A statement like "grasp the apple, please" has no physical size. Words are not part of the visible reality, but they are abstract symbols located in the oral space. Despite this missing physical borders, language is part of the reality because language is used for many purposes. In a mathematical sense, language is a communication technology used in a sender to receiver interaction. Such a protocol has much in common with a ghost like behavior. If language gets submitted over radio waves it has some similarity to a supernatural phenomena.

What makes language interesting for artificial intelligence is, that without language a robot is not able to think. Without language, robots are reduced to a pocket calculator which can execute an algorithms but isn't understanding the meaning of objects in the reality like a table, an apple or a plate. The ability to parse natural language is equal to implement artificial intelligence.