Below is another set of IJCAI session notes. This was the first invited talk in a day-long workshop called Architectures and Evaluation for Generality, Autonomy & Progress in AI (AEGAP). The speaker, Oren Etzioni, talked about some of the work the Allen Institute is doing to drive the creation of common sense in AI. He focused especially on a need for a concrete benchmark to measure results when it comes to implementing common sense. As before, these are mostly for myself, to sort through the notes in my head and revisit something a little more organized in the future. In addition to the talk itself these will cover the Q&A which followed.