Yes, pretty useless except for play and experimentation. Real chatbots (by “real” I mean ones that are deployed to perform work) actually tend to rely on a lot

Yes, pretty useless except for play and experimentation. Real chatbots (by “real” I mean ones that are deployed to perform work) actually tend to rely on a lot of hand-coded rules, as you can observe by talking to Siri, or Alexa, or the Amazon support bot. They do use ML to understand the inbound messages, though. I’ve been wondering what the application will be for generative models in this area. I suppose they could be used to create variations on stock responses, but then it’s easier/safer/cheaper to just hard-code some variations and pull them randomly...