Now companies tend to mine gigantic databases for insights into what might happen six months from now. That might always be valuable, but there's a different kind of value - and a competitive edge - in processing ongoing streams of data through a software model that can quickly and constantly make predictions about, say, whether a certain customer is going to defect, or an aircraft is going to run into trouble.

Talented people can predict with great accuracy what's about to happen just a tiny bit ahead of their competitors. It might be two seconds ahead, or two hundredths of a second, or two days. Napoleon on an eighteenth century battlefield had something more like a two-day advantage. Wayne Gretzky in a hockey game was probably a second ahead of everyone else on the ice.

Anybody can develop a certain amount of talent at something. However, the supremely talented - the superstars - are people who have married a gift of brain wiring to those thousands of hours of practice, usually in favorable circumstances.

Our brains are great at knowing what to forget. We actually have to teach computers to do the same.

Some of what we're learning suggests a balance between exposing children to new things, yet giving them a chance to repeatedly experience something they enjoy, which builds "chunks" of information in their brains.

Artificial intelligence uses a complex set of rules - algorithms - to get to a conclusion. A computer has to calculate its way through all those rules, and that takes a lot of processing. So AI works best when a small computer is using it on a small problem - your car's anti-lock brakes are based on AI. Or you need to use a giant computer on a big problem - like IBM using a room-size machine to compete against humans on Jeopardy in 2011.

A CD these days is not all that convenient, and it doesn't bring enough fidelity to make you put up with that inconvenience. So, nobody buys CDs anymore.