For each message, the service offers not just one reply but three, letting you choose the reply that best suits what you want to say, and these replies are typically just a few words long.
Google's tool gives itself a margin for error.
People don't typically interact with machines in this way.
So, companies like Facebook must find other sources of data—or generate data on their own.
Marcus and company are already doing this with Facebook M, and experimental digital assistant, and they may hope to do so with the Messenger bot engine as well. It employs human assistants that work alongside the bots, and most of the data the system generates is related to how these humans respond to requests.
The idea is that these bots will let you interact with businesses much like you trade text with friends and family, letting you do stuff much quicker than you could using a dozens of disparate smartphone apps.
Some people call this "conversational commerce." But there are limits to the conversation. Even those built atop the latest tech are limited in what they can understand and how well they can respond. When it comes to automated conversation, deep neural networking is the best tech going.