For the first decades of computing, the term “algorithm” wasn’t much mentioned. But as computer science departments began sprouting across campuses in the 60s, the term acquired a new cachet. Its vogue was the product of status anxiety. Programmers, especially in the academy, were anxious to show that they weren’t mere technicians. They began to describe their work as algorithmic, in part because it tied them to one of the greatest of all mathematicians – the Persian polymath Muhammad ibn Musa al-Khwarizmi, or as he was known in Latin, Algoritmi. During the 12th century, translations of al-Khwarizmi introduced Arabic numerals to the west; his treatises pioneered algebra and trigonometry. By describing the algorithm as the fundamental element of programming, the computer scientists were attaching themselves to a grand history. It was a savvy piece of name-dropping: See, we’re not arriviste, we’re working with abstractions and theories, just like the mathematicians!
John Pearce on 03 Jun 12We tend to rewrite the histories of technological innovation, making myths about a guy who had a great idea that changed the world. In reality, though, innovation isn't the goal; it's everything that gets you there. It's bad financial decisions and blueprints for machines that weren't built until decades later. It's the important leaps forward that synthesize lots of ideas, and it's the belly-up failures that teach us what not to do. When we ignore how innovation actually works, we make it hard to see what's happening right in front of us today. If you don't know that the incandescent light was a failure before it was a success, it's easy to write off some modern energy innovations - like solar panels - because they haven't hit the big time fast enough. Worse, the fairy-tale view of history implies that innovation has an end. It doesn't. What we want and what we need keeps changing. The incandescent light was a 19th-century failure and a 20th- century success. Now it's a failure again, edged out by new technologies, like LEDs, that were, themselves, failures for many years. That's what this issue is about: all the little failures, trivialities and not-quite-solved mysteries that make the successes possible. This is what innovation looks like. It's messy, and it's awesome.
