There’s a kind of cybernetic hero’s journey that goes like this: a protagonist, initially skeptical of a technology, reaches for it in a moment of desperation and discovers that it works surprisingly well. They go on to deploy said technology with full-throated enthusiasm, only to have it go too well, out-of-control well, upon which the protagonist becomes unsettled by the loss of some aspect of their humanity, causing them to scale back their use in order to find the right harmony. The moral of the story: all technology in moderation.
Last week, The Verge published a piece on AI-assisted writing, spined around Jennifer Lepp, an indie author of paranormal cozy mysteries, who starts using a tool built on a popular AI language model to help her write and self-edit her books within (a staggering) 49 days per book, in order to keep pace with her readers’ voracious appetites.
Here’s the moment of gone-too-far realization, in Lepp’s words:
“I started going to sleep, and I wasn’t thinking about the story anymore. And then I went back to write and sat down, and I would forget why people were doing things. Or I’d have to look up what somebody said because I lost the thread of truth.”
Robin’s definition of a creator comes to mind here: “Someone whose income is determined by a platform’s algorithms.“ (And Robin knows a thing or two about AI-assisted writing). But I think the definition may need to be expanded going forward to also include production-side algorithms, as Lepp isn’t directly gaming her discoverability on the platform, but how she herself makes things for its users. It’s not hard to imagine that a few years down the road, as other AI production technologies like DALL-E open to the public, the definition of “creator” might expand again: Creators as matchmakers for algorithms. Creators as AI whisperers.