The difference is that we are reading and comprehending information, while the model is making a prediction of what word is most likely to come next based on a

The difference is that we are reading and comprehending information, while the model is making a prediction of what word is most likely to come next based on a huge dataset of words. As such, there have been many documented cases of the model seeming correct at first glance, maybe even second glance, but its actually totally wrong in a way that a human isn't totally wrong. Like chatgpt will give you a summary and a title and an author and a year and be entirely confident that this is the truth, whereas the title was written by a different author in a related field perhaps or was made up entirely. A human would not behave like this at all. If I asked you for some info you hardly knew, you wouldn't word vomit a paragraph like this, you'd reply with a confidence score, "I don't know," or "I know about this but not that," perhaps. Seems that if there is any money or time on the line, you'd rather use the human.