  Little demonstrable progress has been made toward AGI (Artificial General
Intelligence) since the term was coined some 20 years ago. In spite of the
fantastic breakthroughs in Statistical AI such as AlphaZero, ChatGPT, and
Stable Diffusion none of these projects have, or claim to have, a clear path to
AGI. In order to expedite the development of AGI it is crucial to understand
and identify the core requirements of human-like intelligence as it pertains to
AGI. From that one can distill which particular development steps are necessary
to achieve AGI, and which are a distraction. Such analysis highlights the need
for a Cognitive AI approach rather than the currently favored statistical and
generative efforts. More specifically it identifies the central role of
concepts in human-like cognition. Here we outline an architecture and
development plan, together with some preliminary results, that offers a much
more direct path to full Human-Level AI (HLAI)/ AGI.

Artificial Intelligence