We're probably just going to disagree here. These LLMs are built to serve humans. They either need to make the system transparent for the operator or be limited

We're probably just going to disagree here. These LLMs are built to serve humans. They either need to make the system transparent for the operator or be limited in use to tasks that can be proven in whole (with code that can't be revised without human approval). Should you think it is wise to trust the machine that can't differentiate subject matters in a chat styled context, you have fun with that fluster cluck when it blows up. Like Fable is highly useful, but it's really bad at keeping it's responses straight. In fact, that "it's not X it is Y" pattern always crops up when it reasoned about the idea of X and I never fed it that. It's literally doing that because it can't predict that I'm a different entity despite it being able to say I am a different entity. Edit: Clarification by removal of incomplete sentence fragment. Edit2: Clarification on the "proven in whole" thing.