This paper consists of two interconnected parts, both challenging mainstream computational views of mind and intelligence. In the first part, the author argues for a fundamental reconceptualization of cognition. He contends that the success of neural network-based AI and the universal properties of human language expose key limitations of classical computational theories of mind. Instead of...