[Diogenesian]

"You know, as impressive as these systems are, they sure are bafflingly stupid. I am wondering if perhaps there is more to human intelligence than technical mastery of human language."

Drew McDermott, 1976, "Artificial Intelligence Meets Natural Stupidity": https://dl.acm.org/doi/10.1145/1045339.1045340

  I wish to rail against a pervasive sloppiness in our thinking, the tendency to see in natural language a natural source of problems and solutions. Many researchers tend to talk as if an internal knowledge representation ought to be closely related to the "corresponding" English sentences; and that operations on the structure should resemble human conversation or "word problems". Because the fault here is a disregard for logic, it will be hard for my criticism to be logical and clear.

Note that 1976 had some cool AI, including theorem-provers and story-tellers (Knuth wrote a story-telling program, I think it's an exercise in TAoCP). Yet the underlying theory of intelligence was "intelligence is logical processing of symbolic information"; this is obviously inadequate, but the ideology of analytic philosophy is a helluva drug for a scientist. Likewise with the 21st century "intelligence is about correctly predicting things based on past information,"; this is obviously inadequate, but the ideology of big data technocracy is a helluva drug for a scientist.