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.

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

I reluctantly signed up for a journalism major, thinking I needed a fall-back way to make money should my career as a novelist fail to take off. As I started to try on journalism, including doing internships and working at the campus paper, I found I actually liked it. So I started to want to be a journalist.

Our brains seem to have the power to do one or the other - record and remember every detail, or chunk it to higher level concepts and forget the details. We can't seem to do both. The fact that you could not fly over a city and remember every detail is not something to worry about.

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.

If you spot a market where the only choices are at either one end or the other - high fidelity or high convenience - there's probably a big opportunity at the other end. That was the opening for Federal Express, for instance. When it started, there was only one mail service in America - the US Postal Service, which was high convenience. Fred Smith created a high-fidelity mail service.

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.