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.

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.

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.

I'm that tech writer who gets on stage and plays funny tech songs. I wouldn't want that to be all I'm known for, but it's a bit of a differentiator.

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.

Eventually, we need to have computers that work differently from the way they do today and have for the past 60-plus years. We're capturing and generating increasingly massive amounts of data, but we can't make computers that keep up with it. One of the most promising solutions is to make computers that work more the way brains work.