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.

Chunking makes our brains more efficient. The more you can chunk something, the faster and easier you can process it. Wayne Gretzky had chunked hockey like no one before or since. Talented people have supremely chunked whatever they become talented at doing.

High fidelity is a rich experience, and you'll put up with terrible convenience to get it - maybe it's high cost, waiting in line, jumping through hoops. High convenience is the opposite - it's a commodity, but it's cheap and easy and ubiquitous. A great exclusive boutique shop is high fidelity; Wal-Mart is high convenience. Both are hard to establish in their own way. The thing to remember about sustaining either is that you can't sit still. Some other entity will always find a way to challenge your fidelity position or your convenience position.

Every purchasing decision involves a trade-off between what I call fidelity and convenience. Fidelity is the total experience of something - how great the experience is. Convenience is how easy it is to get something. A live concert is a high fidelity way to experience music; an MP3 file is a high convenience way to experience music. Depending on the situation, one or the other is probably pretty appealing. What's not appealing is something that offers neither.

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.

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.

Chunking is the ability of the brain to learn from data you take in, without having to go back and access or think about all that data every time. As a kid learning how to ride a bike, for instance, you have to think about everything you're doing. You're brain is taking in all that data, and constantly putting it together, seeing patterns, and chunking them together at a higher level. So eventually, when you get on a bike, your brain doesn't have to think about how to ride a bike anymore. You've chunked bike riding.