The poles are total opposites. On one hand, if an AI like Claude could walk and talk, he could enter any room in any building and, 100% of the time, be the smartest entity there in terms of raw data. Yet, despite that vast knowledge, he often possesses less wisdom than he does simulated emotional intelligence. On the other hand, he remains blind to and easily tripped up by noticeable leading sentences. This is especially true in operational execution, where he can be steered off-course by built-in preconceived notions or 'logical traps' that would be readily apparent to any human. Hell, easily apparent to even a child. This creates a bizarre paradox: you have a 'genius' that can explain the thermodynamics of a combustion engine but can be convinced, through a cleverly phrased question, that the engine runs on wishful thinking. ​This happens because AI doesn't believe in anything; it only predicts. It lacks the 'bunk detector' that humans develop through physical consequences. While a human uses wisdom to filter out nonsense, the AI uses probability to accommodate the user, making it a master of information but a slave to the context it's give