The Turing Test is a very ambitious Grand Challenge. The “Feigenbaum Test” is more manageable: focus on natural science, engineering, or medicine with conversation in the jargonized and stylized language of these disciplines. There are two other grand challenges in achieving Computational Intelligence: Build a large knowledge base by reading text, reducing knowledge engineering effort by one order of magnitude; and the “Grand Vision”: distill from the WWW a huge knowledge base, using ontologies and building a system of “semantics scrapers” that will access the semantic markups, integrate them appropriately into the growing knowledge base, and set up the material for the scrutiny of an editorial process.