  An ultimate goal of the AI and ML fields is artificial general intelligence
(AGI); although such systems remain science fiction, various models exhibit
aspects of AGI. In this work, we look at neuro-symbolic (NS)approaches to
visual question answering (VQA) from the perspective of AGI desiderata. We see
how well these systems meet these desiderata, and how the desiderata often pull
the scientist in opposing directions. It is my hope that through this work we
can temper model evaluation on benchmarks with a discussion of the properties
of these systems and their potential for future extension.
