Discusses some of the requirements for artificial companions (ACs), contrasting relatively easy (Type 1) goals and much harder, but more important, (Type 2) goals for designers of ACs. Current techniques will not lead to achieving Type 2 goals, but progress can be made towards those goals, by looking more closely at how the relevant competences develop in humans, and their architectural and representational requirements. A human child develops a lot of knowledge about space, time, causation, and many varieties of 3-D structures and processes. This knowledge provides the background and foundation for many kinds of learning, and will be required for development of ACs that act sensibly and give sensible advice. No AI systems are anywhere near the competences of young children. Trying to go directly to systems with adult competences, especially statistics based systems, will produce systems that are either very restricted, or very brittle and unreliable (or both).