AI writing

Up until recently, the ability to use language to communicate meaning was seen as a uniquely human skill — something that separated man from animal, and, with the advent of modern technology, man from machine. With recent developments in natural language processing (NLP), a form of artificial intelligence that can understand and synthesize written content, we’re having to draw new lines in the sand. OpenAI’s GPT-3, for instance, can write a poem in the style of Coleridge, a short story in the style of Hemingway; it can write a passable recipe for chocolate cake, and script a short movie; and this summer it’s enjoying an ascendance in Twitter meme culture for its ability to produce its own 4chan-style greentext posts.
NLP is not yet at the point where it can reliably produce writing for journalistic or academic purposes: while it can make convincing arguments, the citations it adduces to support those arguments are generally fictional. And it struggles with maintaining coherence across long-form pieces of writing. But it is good at demonstrating something that resembles human creativity, generating writing that can be both humorous (see those greentext posts), and also genuinely moving (see these Zen kōans written by ChánAI). These advances in AI have been met with both awe and trepidation from those in creative professions, who marvel at NLP’s capabilities but fear that it may one day soon render ‘human writing’ obsolete. At Mem, however, we’re interested in using machine learning not to supplant human writers, but to support them. Here, I’m going to walk through a few examples of how Mem X, the AI extension of Mem that uses NLP to intelligently link your notes, can do just that.mem.ai
----
* AI-assisted writing; Computer assisted writing; Computer generated writing; AI generated writing; AI supported writing
* Self-creation;
Category:Writing
Category:Artificial intelligence