Their three keys to success: They welcome newcomers, they share competitive information, and they ask advice from newbies. READ: Shades of green: What gig economy workers can learn from the success of romance writers | The Conversation
Earlier this month Google’s software engineer Andrew Dai explained to BuzzFeed News that the genre’s formulaic approach to storytelling makes it ideal for machine learning. They hit a sweet spot between the labyrinthine, meandering sentences found in literary fiction, and the less elevated language used in kids’ books.
And in a heartrending plot twist: the experiment worked. The hairy details were released last week, but in short, the AI successfully connected lines of text to related phrases based on frequently connected words and phrases used in romance novels. READ MORE: Here’s What A Robot Learned After Binge-Reading Romance Novels | HuffPost
This has to be one of the most awesome headlines I have ever seen while curating news for this blog! 🙂
For the past few months, Google has been feeding text like this to an AI engine — all of it taken from steamy romance novels with titles like Unconditional Love, Ignited, Fatal Desire, and Jacked Up. Google’s AI has read them all — every randy, bodice-ripping page — because the researchers overseeing its development have determined that parsing the text of romance novels could be a great way of enhancing the company’s technology with some of the personality and conversational skills it lacks.
And it’s working, too. Google’s research team recently got the AI to write sentences that resemble those in the books. With that achievement unlocked, they’re now planning to move on to bigger challenges: using the conversational styles the AI has learned to inform and humanize the company’s products, such as the typically staid Google app. READ MORE: Google Is Feeding Romance Novels To Its Artificial Intelligence Engine To Make Its Products More Conversational | BuzzFeed News