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.
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.