Few emotional forces have moved as quietly, and as powerfully, through modern markets as the feeling of being left behind. In everyday language we call it the #fear_of_missing_out, or #FoMO. It is the worry that other people are gaining something valuable, an opportunity, a profit, an experience, while we stay still. This feeling is old, but the digital world has made it louder. Through phones, social platforms, and constant updates, we can now see in real time what others ar

Markets work best when people can make good decisions. But good decisions depend on good information, and in real life, information is rarely shared equally. One person in a deal often knows more than the other. A seller usually knows more about a product than a buyer. A borrower usually knows more about their own plans than a lender. This simple gap in knowledge sits at the heart of a powerful idea in economics: #information_asymmetry. The theory of information asymmetry hel

The recent report that an #AI_System helped solve a version of Erdős Problem 124 in only a few hours has attracted attention far beyond mathematics. The case is important not only because it relates to a difficult problem associated with the work of Paul Erdős, but also because it shows how #Artificial_Intelligence may change the speed, cost, and organization of #Research_and_Innovation. For many years, advanced mathematical and scientific problems depended almost entirely on