Language models like GPT-3, OPT, BERT, and BlenderBot have changed the machine learning and application development landscape. Today, we can build applications in a natural, user-friendly manner like never before. Unfortunately, language models don't always get it right. It's been well documented that language models are capable of biased responses that can be harmful if not tracked correctly. In light of this, many companies have implemented something called a toxicity filter for their respective services.

Today's social media platforms are ruled over by opaque algorithms that decide what we see, guiding us towards content they believe we have the greatest chance of engaging with and creating new content in response to. We have no right to see inside these algorithms or control them in any way. Their decisions are made with their profit-minded creators in mind, not our intellectual and emotional best interests. Could our personal digital assistants of the future wade through the vast social wasteland on our behalf, tracking down content and curating a specialized feed that represents what we want to see, not what social platforms want us to see and even shield us from hate? The algorithms that run today's social media platforms are designed to mindlessly drive us towards the highest-engagement content.