Sublime

HUMAN THOUGHT AND LANGUAGE ARE COMPOSITIONAL.

Start by developing systems that can represent the core frameworks of human knowledge: time, space, causality, basic knowledge of physical objects and their interactions, basic knowledge of humans and their interactions. Embed these in an architecture that can be freely extended to every kind of knowledge, keeping always in mind the central tenets

Some people within the field seem finally to be recognizing these points. University of Montreal professor Yoshua Bengio, one of the pioneers of deep learning, recently acknowledged that “deep [neural networks] tend to learn surface statistical regularities in the dataset rather than higher-level abstract concepts.” In an interview near the end of