Computers Aren’t So Smart, After All

I love combing through The Atlantic’s archives. There’s almost no better way of grasping the strangeness of the past than to flip through a general interest magazine from 1960. Here, we find Fred Hapgood grappling with what human intelligence meant in the light of new machines that could do something like thinking. Intelligence was being explored in a new way: by finding out what was duplicable about how our minds work. Hapgood's conclusion was that if you could automate a task, it would lose value to humans. What tremendous luck! Humans value that which only humans can do, he argued, regardless of the difficulty of the task. And that because computers were so good at sequential logic problems, we'd eventually end up only respecting emotional understanding, which remained (and remains) beyond the reach of AI.

-A. Madrigal

Crypto Rebels

Steven Levy’s piece on cypherpunks and Internet libertarians could not feel more relevant in the wake of WikiLeaks’ rise and the heavily scrutinized role of online organizing in recent revolutions. During Wired’s first year, I’d just gotten an Internet account and had somehow stumbled on the magazine. It became my guide to this hybrid life that we all live now, half-online, half-offline.

-A. Madrigal

Sad as Hell

"I have the sensation, as do my friends, that to function as a proficient human, you must both 'keep up' with the internet and pursue more serious, analog interests."

An essay on technology’s reach into daily life.

4Chan's Chaos Theory

“If 4chan sounds trivial, that’s because it is. The site certainly doesn’t make much money…In fact, you could say that 4chan has cornered the market on the trivial on the Internet, which is no small feat (the trivial usually spreads by accident on the Web, according to no logic).”