Today’s AI technology, Machine Learning, is radically different from the old days.
ML applications are ubiquitous and already credited with changing the way we live in many ways. Clearly it is here to stay. Machine Learning’s successes have been so widely publicized that the term has become nearly synonymous with Artificial Intelligence. But “learning” here does not mean acquiring knowledge but rather “training” huge networks of interconnected “artificial neurons” to recognize patterns in vast databases. These approaches are called connectionist AI.
Even its most ardent practitioners freely admit that connectionist approaches cannot understand our language and lack general intelligence.