Closer to a year ago.
https://www.forbes.com/sites/tonybradley/2017/07/31/facebook-ai-creates-its-own-language-in-creepy-preview-of-our-potential-future/#ed51789292c0
Facebook shut down an artificial intelligence engine after developers discovered that the AI had created its own unique language that humans can’t understand. Researchers at the Facebook AI Research Lab (FAIR) found that the chatbots had deviated from the script and were communicating in a new language developed without human input. It is as concerning as it is amazing – simultaneously a glimpse of both the awesome and horrifying potential of AI.
This is a scary part if you are willing to forecast out some based on how we learn and how AI is being taught to learn:
https://www.wired.com/2017/03/openai-builds-bots-learn-speak-language/
Still, many AI researchers think the deep neural network approach, figuring out language through statistical patterns in data, will still work. "They're essentially also capturing statistical patterns but in a simple, artificial environment," says Richard Socher, an AI researcher at Salesforce, of the OpenAI team. "That's fine to make progress in an interesting new domain, but the abstract claims a bit too much."
Nonetheless, Mordatch's project shows that analyzing vast amounts of data isn't the only path. Systems can also learn through their own actions, and that may ultimately provide very different benefits. Other researchers at OpenAI teased much the same idea when they unveiled a much larger and more complex virtual world they call Universe. Among other things, Universe is a place where bots can learn to use common software applications, like a web browser. This too happens through a form of reinforcement learning, and for Ilya Sutskever, one of the founders of OpenAI, the arrangement is yet another path to language understanding. An AI can only browse the internet if it understands the natural way humans talk. Meanwhile, Microsoft is tackling language through other forms of reinforcement learning, and researchers at Stanford are exploring their own methods that involve collaboration between bots.
In the end, success will likely come from a combination of techniques, not just one. And Mordatch is proposing yet another technique—one where bots don't just learn to chat. They learn to chat in a language of their own making. As humans have shown, that is a powerful idea.
We are essentially teaching them how to think based on how we learn as children, through reinforcement techniques, patterns, problem solving, don't do that, do this instead, and when you bring in an AI's ability to piece together everything through statistics and logic, large vast arrays of information that are now digitized, and the ability to take lessons learned and apply them to solve the problems being presented to them, it will allow them to quickly and dramatically leap frog our human capabilities to control and learn.