My argument is not that it shouldn't make a mistake but that it cannot recognize it's mistake and correct it because it would have. That mathematician I am sure

My argument is not that it shouldn't make a mistake but that it cannot recognize it's mistake and correct it because it would have. That mathematician I am sure recognize that 57 isn't a prime number if you ask him again. Also mathematics is not the right field to compare this to because there are rules. In languages and object recognition/synthesis it is all subjective. Understanding here means understanding context and human-subjective interpretation. When I say "that sunset is beautiful" you understand what I mean, ML models simply approximate based on what they see other humans do or say. I am not calling the sunset beautiful because other people are, it is my own subjective interpretation.