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62

The Lifecycle of Software Objects

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Chiang, T. (2019). The Lifecycle of Software Objects. In Chiang, T. Exhalation. Alfred A. Knopf, pp. 62-172

66

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?

—p.66 by Ted Chiang 4 years, 4 months ago

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?

—p.66 by Ted Chiang 4 years, 4 months ago
162

"We aren't looking for superintelligent employees, we're looking for superintelligent products. You're offering us the former, and I can't blame you; no one can spend as many years as you have teaching a digient and still think of it as a product. But our business isn't based on that kind of sentiment."

Ana has been pretending it wasn't there, but now Pearson has stated it baldly: the fundamental incompatibility between Exponential's goals and hers. They want something that responds like a person, but isn't owed the same obligations as a person, and that's something she can't give them.

No one can give it to them, because it's an impossibility. The years she spent raising Jax didn't just make him fun to talk to, didn't just provide him with hobbies and a sense of humor. It was what gave him all the attributes Exponential was looking for: fluency at navigating the real world, creativity at solving new problems, judgment you could entrust an important decision to. Every quality that made a person more valuable than a database was a product of experience.

—p.162 by Ted Chiang 4 years, 4 months ago

"We aren't looking for superintelligent employees, we're looking for superintelligent products. You're offering us the former, and I can't blame you; no one can spend as many years as you have teaching a digient and still think of it as a product. But our business isn't based on that kind of sentiment."

Ana has been pretending it wasn't there, but now Pearson has stated it baldly: the fundamental incompatibility between Exponential's goals and hers. They want something that responds like a person, but isn't owed the same obligations as a person, and that's something she can't give them.

No one can give it to them, because it's an impossibility. The years she spent raising Jax didn't just make him fun to talk to, didn't just provide him with hobbies and a sense of humor. It was what gave him all the attributes Exponential was looking for: fluency at navigating the real world, creativity at solving new problems, judgment you could entrust an important decision to. Every quality that made a person more valuable than a database was a product of experience.

—p.162 by Ted Chiang 4 years, 4 months ago
165

Her objection is to Polytope's strategy for getting people to spend that time. Blue Gamma's strategy had been to make the digients lovable, while Polytope was starting with unlovable digients and using pharmaceuticals to make people love them. It seems clear to her that Blue Gamma's approach was the right one, not just more ethical but more effective.

Indeed, maybe it was too effective, considering the situation she's in now: she's faced with the biggest expense of her entire life, and it's for her digient. It's not what anyone at Blue Gamma expected, all those years ago, but perhaps they should have. The idea of love with no strings attached is as much a fantasy as what Binary Desire is selling. Loving someone means making sacrifices for them.

—p.165 by Ted Chiang 4 years, 4 months ago

Her objection is to Polytope's strategy for getting people to spend that time. Blue Gamma's strategy had been to make the digients lovable, while Polytope was starting with unlovable digients and using pharmaceuticals to make people love them. It seems clear to her that Blue Gamma's approach was the right one, not just more ethical but more effective.

Indeed, maybe it was too effective, considering the situation she's in now: she's faced with the biggest expense of her entire life, and it's for her digient. It's not what anyone at Blue Gamma expected, all those years ago, but perhaps they should have. The idea of love with no strings attached is as much a fantasy as what Binary Desire is selling. Loving someone means making sacrifices for them.

—p.165 by Ted Chiang 4 years, 4 months ago