Towards a Quantitative Measure of Intelligence: Breaking Down One of the Most Important AI Papers…

Every once in a while, you encounter a research paper that is so simple and yet profound and brilliant that makes you wish you would have written it yourself. That's how I felt when I read Francois Collet's On the Measure of Intelligence. The paper resonated with me not only because it confronts some of the key philosophical and technical challenges about artificial intelligence(AI) systems that I have been spending some time on but also because it does so in such an elegant way that is hard to argue with. Mr. Collet's thesis is remarkably simple: for AI systems to reach its potential, we need quantitative and actionable methods that measure intelligence in a way that shows similarities with human cognition. Mr. Collet's thesis might seem contradictory given the recent achievements of AI systems.