How We Accidentally Gave our Bots Their Personalities

A couple months ago we noticed that the process of optimizing our computer models to evaluate text can produce pretty cool personalities for different bots so we figured we'd share what we've learned so far. We hope these bots can help with some of the challenges we are facing with getting persistent state out of natural language generation. We hope writing about how we developed them can provide some tips for our users who are helping us create new bots. So what do we mean by personalities? Here's a few examples of the intermediate step and the desired output (a score) that we generated when we played a game where we told some of our earlier bots that we were writing this blog post.