AI is actually interesting, when applied correctly. Basically, the kind of models AI uses are what I call statistical pattern recognition. They kind of map specific inputs to specific outputs. The mapping depends on the training data. Meaning they get an input, they basically generate an output. But these models don’t really understand the meanings of input query or the output answer in the sense a human does. Because these models don’t have context or a worldview, just input to output mapping.

Another limitation is that these models don’t don’t have a sense for truth or falsity. Humans have many mechanisms to determine truth or falsity of a statement. They range from just believing in the truth or falsity of a statement without any critical thinking applied to actually, conducting research to determine the truth. Machine learning don’t have any such mechanisms. In a sense, they will accept any statement even contradictory statements, to put it loosely, in the training data as truth by applying statistical weights to it.

AI can be used to compress a lot of raw data into something that can be quickly queried. But actually using AI for chatbots, which handle complex queries from humans or using AI for creating images or works of art is bound to be disastrous. Too bad, money people don’t understand that. They probably will soon enough.