If you use Gmail or Google Docs, then you’ve probably already encountered this technology. With AI writing tools, there is the possibility for a conversation. This is something that often seems missing from the introduction of AI systems like facial recognition algorithms (which are imposed upon us) or self-driving cars (where the public becomes the test subject in a dangerous experiment).

AI writing models may only be digital parrots, able to copy form without understanding meaning, but they still create a dialogue with the user. If we’re looking ahead at the next 10 years of AI development, trying to predict how we will interact with increasingly intelligent software, it helps to consider those tools that can talk back. And here, the medium included plausible fabrications endless output and, crucially, an opportunity to respond to the robot writer. The medium is the message, as Marshall McLuhan pointed out many years ago. Really, what was most revealing about the future of AI was not what GPT-3 said but how it said it. I soon discovered that the quote from Dean was made up, that the experimental software never existed, and while the promise of an “AI Revolution” was all well and good, it wasn’t any different from the vague nonsense found in hype-filled press releases. Then I thought a little more and did some googling.

The medium included plausible fabrications endless output and, crucially, an opportunity to respond to the robot writerįine, I thought. I hit enter again, and the program added a quote from Google’s head of AI, Jeff Dean, then referenced an experimental piece of software from the 1960s before promising that an “AI Revolution” was coming that would reap immense rewards across the fields of science, technology, and medicine. It told me that AI uses “a series of autocomplete-like programs to learn language” and that these programs analyze “the statistical properties of the language” to “make educated guesses based on the words you’ve typed previously.” I tried inputting a simple headline and a few sentences about the topic, and GPT-3 began to fill in the details. You type, hit enter, and GPT-3 completes what you’ve written, be it poetry, fiction, or code. You have a text box to type into and a menu on the side to adjust parameters, like the “temperature” of the response (which essentially equates to randomness). How would an AI writing program start an article on the future of AI writing? Well, there’s one easy way to find out: I used the best known of these tools, OpenAI’s GPT-3, to do the job for me.

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