The other day, I saw a tweet of an obituary, seemingly written by a bot. The obituary’s odd but delightful phrases like “Brenda was an avid collector of dust,” “Brenda was a bird,” “she owed us so many poems,” and “send Brenda more life” were hilarious to some people — send me more life too, please! — while others couldn’t help but wonder: Is this really a bot?
You didn’t have to fall too far down a rabbit hole to learn that the obituary, in fact, was not written by a bot, but a human — writer and comedian Keaton Patti — as part of his book, I Forced a Bot to Write This Book. Some commenters, perhaps proud of their human-sniffing capabilities or just well-versed in real machine-written prose, were quick to point out that there was no way a bot could write this.
Try a language generator at Talk to Transformer, an AI demo site.
Even though the obituary was human-generated, it still reminded me of two editors’ picks we recently featured on Longreads — Jason Fagone’s feature “The Jessica Simulation” and Vauhini Vara’s essay “Ghosts” — in which AI-powered prose is a significant (and spooky) part of these stories. Both pieces prominently feature GPT-3, a powerful language generator from research laboratory OpenAI that uses machine learning to create human-like text. In simple terms, you can feed GPT-3 a prompt, and in return, it predicts and attempts to complete what comes next. Its predecessor, GPT-2, was “eerily good” at best, specializing in mediocre poetry; GPT-3, which is 100 times larger and built with 175 billion machine learning parameters, comes closer to crossing the Uncanny Valley than anything, and raises unsettling questions about the role AI will play — or is already playing — in our lives. Read more…