The Convergence of AI code and Cortical Functioning -- a Commentary
  Neural nets, one of the oldest architectures for AI programming, are loosely
based on biological neurons and their properties. Recent work on language
applications has made the AI code closer to biological reality in several ways.
This commentary examines this convergence and, in light of what is known of
neocortical structure, addresses the question of whether ``general AI'' looks
attainable with these tools.
