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

Who "wins" and who "loses" depends on when you measure it.

From about ninth grade on, I knew I was a writer at heart. I had fantasies of being a great novelist, but I thought that seemed like an iffy way to try to make a living. So I tried journalism while in college, and really liked it. But even in journalism, I've always pursued ways to be somewhat literary, whether writing a column or writing books.

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.

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.

I knew I wanted to be a writer from as far back as I can remember. That was my talent. Lord knows it wasn't math.

In the long run magazines can't be a convenience play - the Web has stolen that. So magazines have to be high fidelity - a fantastic experience - to thrive. Magazines will survive the Internet age, but only the ones that give people an experience they just can't get anywhere else. A magazine will have to be truly loved to make it.