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.

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.

If you want to stand out, find a way to be either high fidelity or high convenience in whatever you do. If you're halfway in between on both measures, you're not going to make people feel very excited about you.

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

The explosion of the Web and digital media from 1995 to 2000 shook companies more profoundly in a shorter time than anything since the end of World War II.

Fidelity is the total quality of an experience, including a sense of exclusiveness and aura. Convenience is simply how easy something is to get, which often means a low price and ubiquitousness. A super-fidelity product or service would lose its luster and quality if it's pushed too hard toward convenience. A super-convenient product or service would start to get expensive and exclusive if it moved toward higher fidelity, which would naturally undermine its convenience.