Darüber wird oft nicht gesprochen: Wir Computerexperten wissen oft gar nicht, was wir tun. Im Rumfummeln und Rauskriegen sind wir spitze. In einem Ozean von Unbekannten funktionieren wir gut. Unsere Erfahrung hat uns nur darauf vorbereitet, mit Verwirrung fertig zu werden.
Ein Programmierer, der das abstreitet, lügt wahrscheinlich, oder er kennt sich selbst wenig.

"On the train, I watch strangers' eyes, studying the wrinkles that curl from them like script, like talons. How much squinting, how much laughter to earn each of those lines?"

When he busted out the hip rolls, it was all I could do not to publicly violate myself.

I'm tired of loving humans, Amy," he said. "I'm so fucking tired of loving them, because I know how it's going to end before it even starts, but I start it anyway because that's how I'm built.

The idea of machines making machines is a recurring theme in both science fiction stories and serious academic studies. There are probably two reasons for this fascination: One is a practical view of scalability. Creating a machine that can create more machines leverages technology to it's maximum capacity:With no humans in the loop, production is limited only by availability of material, power, and time. The second reason for fascination with this topic may be rooted in a deeper psychological need - one that some might call hubris - our need to create. The natural distinguishes itself from the artificial in that natural creatures can make more creatures but machines cannot. At its core, self-reproduction is the ultimate hallmark of biology. If you can create a machine that can make other machines, you will have attained a new level of creation.