The Lifecycle of Software Objects

“That’s amazing. I didn’t know digients had come so far.”

“It’s all pretty recent; our dev team hired a couple of PhDs after seeing their conference presentation last year. Now we’ve got a genomic engine that we call Neuroblast, and it supports more cognitive development than anything else currently out there. These fellows here”–she gestures at the daycare center inhabitants–”are the smartest ones we’ve generated so far.”

“And you’re going to sell them as pets?”

“That’s the plan. We’re going to pitch them as pets you can talk to, teach to do really cool tricks. There’s an unofficial slogan we use in-house: ‘All the fun of monkeys, with none of the poop-throwing.’”

Ana smiles. “I’m starting to see where an animal-training background would be handy.”

“Yeah. We aren’t always able to get these guys to do what they’re told, and we don’t know how much of that is in the genes and how much is just because we aren’t using the right techniques.”

She watches as the panda-shaped digient picks up the toy car with one paw and examines the underside; with its other paw it cautiously bats at the wheels. “How much do these digients start out knowing?”

“Practically nothing. Let me show you.” Robyn activates a video screen on one wall of the daycare center; it displays footage of a room decorated in primary colors with a handful of digients lying on the floor. Physically they’re no different from the ones in the daycare center now, but their movements are random, spasmodic. “These guys are newly instantiated. It takes them a few months subjective to learn the basics: how to interpret visual stimuli, how to move their limbs, how solid objects behave. We run them in a hothouse during that stage, so it all takes about a week. When they’re ready to learn language and social interaction, we switch to running them in real time. That’s where you would come in.”

The panda pushes the toy car back and forth across the floor a few times, and then makes a braying sound, mo mo mo. Ana realizes that the digient is laughing. Robyn continues, “I know you studied primate communication in school. Here’s a chance to put that to use. What do you think? Are you interested?”

Ana hesitates; this is not what she envisioned for herself when she went to college, and for a moment she wonders how it has come to this. As a girl she dreamed of following Fossey and Goodall to Africa; by the time she got out of grad school, there were so few apes left that her best option was to work in a zoo; now she’s looking at a job as a trainer of virtual pets. In her career trajectory you can see the diminution of the natural world, writ small.

Snap out of it, she tells herself. It may not be what she had in mind, but this is a job in the software industry, which is what she went back to school for. And training virtual monkeys might actually be more fun than running test suites, so as long as Blue Gamma is offering a decent salary, why not?

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His name is Derek Brooks, and he’s not happy with his current assignment. Derek designs the avatars for Blue Gamma’s digients, and normally he enjoys his job, but yesterday the product managers asked him for something he considers a bad idea. He tried to tell them that, but the decision is not his to make, so now he has to figure out how to do a decent job of it.

Derek studied to be an animator, so in one respect creating digital characters is right up his alley. In other respects, his job is very different from that of a traditional animator. Normally he’d design a character’s gait and its gestures, but with digients those traits are emergent properties of the genome; what he has to do is design a body that manifests the digients’ gestures in a way that people can relate to. These differences are why a lot of animators–including his wife Wendy–don’t work on digital lifeforms, but Derek loves it. He feels that helping a new lifeform express itself is the most exciting work an animator could be doing.

He subscribes to Blue Gamma’s philosophy of AI design: experience is the best teacher, so rather than try to program an AI with what you want it to know, sell ones capable of learning and have your customers teach them. To get customers to put in that kind of effort, everything about the digients has to be appealing: their personalities need to be charming, which the developers are working on, and their avatars need to be cute, which is where Derek comes in. But he can’t simply give the digients enormous eyes and short noses. If they look like cartoons, no one will take them seriously. Conversely, if they look too much like real animals, their facial expressions and ability to speak become disconcerting. It’s a delicate balancing act, and he has spent countless hours watching reference footage of baby animals, but he’s managed to design hybrid faces that are endearing but not exaggeratedly so.